diff --git a/data/v0.0/folio-train.jsonl b/data/v0.0/folio-train.jsonl
index 6b199ee..3de7187 100644
--- a/data/v0.0/folio-train.jsonl
+++ b/data/v0.0/folio-train.jsonl
@@ -81,9 +81,9 @@
 {"story_id": 24, "example_id": 70, "conclusion": "4Sum is a Leetcode problem recommended to the novice.", "premises": ["If a Leetcode problem is at the easy level, then its AC rate is lower than 20 percent. ", "All Leetcode problems that are recommended to novices are easy. ", "A Leetode problem is either easy or hard.", "Leetcode problems that are starred by more than 1 thousand users are hard.", "2Sum is recommended to novices. ", "4Sum is starred by more than 1 thousand users."], "premises-FOL": ["∀x (Easy(x) → LowerAC(x))", "∀x (Recommended(x) → Easy(x))", "∀x (Easy(x) ⊕ Hard(x))", "∀x (Starred(x) → Hard(x))", "Recommended(twosum) ", "Starred(foursum)"], "label": "False", "source": "wiki"}
 {"story_id": 24, "example_id": 71, "conclusion": "2Sum has an AC rate higher than 20 percent.", "premises": ["If a Leetcode problem is at the easy level, then its AC rate is lower than 20 percent. ", "All Leetcode problems that are recommended to novices are easy. ", "A Leetode problem is either easy or hard.", "Leetcode problems that are starred by more than 1 thousand users are hard.", "2Sum is recommended to novices. ", "4Sum is starred by more than 1 thousand users."], "premises-FOL": ["∀x (Easy(x) → LowerAC(x))", "∀x (Recommended(x) → Easy(x))", "∀x (Easy(x) ⊕ Hard(x))", "∀x (Starred(x) → Hard(x))", "Recommended(twosum) ", "Starred(foursum)"], "label": "False", "source": "wiki"}
 {"story_id": 244, "example_id": 692, "conclusion": "Sarah will spend money this weekend.", "premises": ["All rental cars cost the renter money.", "Whenever Sarah goes to Vermont, Sarah drives there.", "For someone who does not own a car to drive somewhere, they must either borrow a car or rent a car.", "Sarah doesn’t own a car.", "Sarah never borrows a car to go camping.", "Sarah is going to go camping in Vermont this weekend.", "To go camping somewhere, you must go to that place."], "premises-FOL": ["∀x (Rent(x, car) → Spend(x, money))", "GoesTo(sarah, vermont) → DriveTo(sarah, vermont)", "∀x ∀y (¬Own(x, car) ∧ DriveTo(x, y) → Borrow(x, car) ⊕ Rent(x, car))", "¬Own(sarah, car)", "∀x (Camping(sarah, x) → ¬(Borrow(sarah, car)))", "Camping(sarah, vermont)", "∀x ∀y (Camping(x, y) → GoesTo(x, y))"], "label": "True", "source": "wiki"}
-{"story_id": 378, "example_id": 1013, "conclusion": "Carol is outgoing and very spirited.", "premises": ["All people who attend weddings are getting married or have friends who are getting married.", "No preteens and other young children are getting married or have friends who are getting married.", "If people enjoy celebrating life milestone events with other people, then they attend weddings.", "If people are fond of large organized group functions, then they enjoy celebrating life milestone events with other people.", "All people who are outgoing and very spirited are fond of large organized group functions.", "If Carol is not both a pre-teen or other young child and attends weddings, then Carol is not getting married or has friends who are getting married.  "], "premises-FOL": ["∀x Weddings(x) → GettingMarried(x)", "∀x PreTeen(x) → ¬GettingMarried(x)", "∀x Celebrating(x) → Weddings(x)", "∀x LargeGathering(x) → Celebrating(x)", "∀x Outgoing(x) → LargeGathering(x)", "¬(PreTeen(Carol) ∧ Weddings(Carol)) → ¬GettingMarried(Carol)"], "label": "False", "source": "hyb"}
-{"story_id": 378, "example_id": 1014, "conclusion": "Carol is either a preteen or other young child.", "premises": ["All people who attend weddings are getting married or have friends who are getting married.", "No preteens and other young children are getting married or have friends who are getting married.", "If people enjoy celebrating life milestone events with other people, then they attend weddings.", "If people are fond of large organized group functions, then they enjoy celebrating life milestone events with other people.", "All people who are outgoing and very spirited are fond of large organized group functions.", "If Carol is not both a pre-teen or other young child and attends weddings, then Carol is not getting married or has friends who are getting married.  "], "premises-FOL": ["∀x Weddings(x) → GettingMarried(x)", "∀x PreTeen(x) → ¬GettingMarried(x)", "∀x Celebrating(x) → Weddings(x)", "∀x LargeGathering(x) → Celebrating(x)", "∀x Outgoing(x) → LargeGathering(x)", "¬(PreTeen(Carol) ∧ Weddings(Carol)) → ¬GettingMarried(Carol)"], "label": "Unknown", "source": "hyb"}
-{"story_id": 378, "example_id": 1015, "conclusion": "Carol neither enjoys celebrating life milestone events with other people nor is outgoing and very spirited.", "premises": ["All people who attend weddings are getting married or have friends who are getting married.", "No preteens and other young children are getting married or have friends who are getting married.", "If people enjoy celebrating life milestone events with other people, then they attend weddings.", "If people are fond of large organized group functions, then they enjoy celebrating life milestone events with other people.", "All people who are outgoing and very spirited are fond of large organized group functions.", "If Carol is not both a pre-teen or other young child and attends weddings, then Carol is not getting married or has friends who are getting married.  "], "premises-FOL": ["∀x Weddings(x) → GettingMarried(x)", "∀x PreTeen(x) → ¬GettingMarried(x)", "∀x Celebrating(x) → Weddings(x)", "∀x LargeGathering(x) → Celebrating(x)", "∀x Outgoing(x) → LargeGathering(x)", "¬(PreTeen(Carol) ∧ Weddings(Carol)) → ¬GettingMarried(Carol)"], "label": "True", "source": "hyb"}
+{"story_id": 378, "example_id": 1013, "conclusion": "Carol is outgoing and very spirited.", "premises": ["All people who attend weddings are getting married or have friends who are getting married.", "No preteens and other young children are getting married or have friends who are getting married.", "If people enjoy celebrating life milestone events with other people, then they attend weddings.", "If people are fond of large organized group functions, then they enjoy celebrating life milestone events with other people.", "All people who are outgoing and very spirited are fond of large organized group functions.", "If Carol is not both a pre-teen or other young child and attends weddings, then Carol is not getting married or has friends who are getting married.  "], "premises-FOL": ["∀x Weddings(x) → GettingMarried(x)", "∀x PreTeen(x) → ¬GettingMarried(x)", "∀x Celebrating(x) → Weddings(x)", "∀x LargeGathering(x) → Celebrating(x)", "∀x Outgoing(x) → LargeGathering(x)", "¬(PreTeen(carol) ∧ Weddings(carol)) → ¬GettingMarried(carol)"], "label": "False", "source": "hyb"}
+{"story_id": 378, "example_id": 1014, "conclusion": "Carol is either a preteen or other young child.", "premises": ["All people who attend weddings are getting married or have friends who are getting married.", "No preteens and other young children are getting married or have friends who are getting married.", "If people enjoy celebrating life milestone events with other people, then they attend weddings.", "If people are fond of large organized group functions, then they enjoy celebrating life milestone events with other people.", "All people who are outgoing and very spirited are fond of large organized group functions.", "If Carol is not both a pre-teen or other young child and attends weddings, then Carol is not getting married or has friends who are getting married.  "], "premises-FOL": ["∀x Weddings(x) → GettingMarried(x)", "∀x PreTeen(x) → ¬GettingMarried(x)", "∀x Celebrating(x) → Weddings(x)", "∀x LargeGathering(x) → Celebrating(x)", "∀x Outgoing(x) → LargeGathering(x)", "¬(PreTeen(carol) ∧ Weddings(carol)) → ¬GettingMarried(carol)"], "label": "Unknown", "source": "hyb"}
+{"story_id": 378, "example_id": 1015, "conclusion": "Carol neither enjoys celebrating life milestone events with other people nor is outgoing and very spirited.", "premises": ["All people who attend weddings are getting married or have friends who are getting married.", "No preteens and other young children are getting married or have friends who are getting married.", "If people enjoy celebrating life milestone events with other people, then they attend weddings.", "If people are fond of large organized group functions, then they enjoy celebrating life milestone events with other people.", "All people who are outgoing and very spirited are fond of large organized group functions.", "If Carol is not both a pre-teen or other young child and attends weddings, then Carol is not getting married or has friends who are getting married.  "], "premises-FOL": ["∀x Weddings(x) → GettingMarried(x)", "∀x PreTeen(x) → ¬GettingMarried(x)", "∀x Celebrating(x) → Weddings(x)", "∀x LargeGathering(x) → Celebrating(x)", "∀x Outgoing(x) → LargeGathering(x)", "¬(PreTeen(carol) ∧ Weddings(carol)) → ¬GettingMarried(carol)"], "label": "True", "source": "hyb"}
 {"story_id": 395, "example_id": 1073, "conclusion": "A U.S government official is a Democrat.", "premises": ["All Republicans are anti-abortion.", "Either Republicans or Democrats. ", "No Democrats are conservative.", "Either conservative or liberal. ", "A U.S government official is either conservative or a Republican."], "premises-FOL": ["∀x (Republicans(x) → Anti-abortion(x))", " ∀x (Republicans(x) ∨ Democrats(x))", " ∀x (Democrats(x) → ¬Conservative(x))", " ∀x (Conservative(x) ∨ Liberal(x))", " Conservative(anU.SGovernmentOfficial) ⊕ Republicans(anU.SGovernmentOfficial)"], "label": "Unknown", "source": "hyb"}
 {"story_id": 395, "example_id": 1074, "conclusion": "A U.S government official is anti-abortion and a liberal.", "premises": ["All Republicans are anti-abortion.", "Either Republicans or Democrats. ", "No Democrats are conservative.", "Either conservative or liberal. ", "A U.S government official is either conservative or a Republican."], "premises-FOL": ["∀x (Republicans(x) → Anti-abortion(x))", " ∀x (Republicans(x) ∨ Democrats(x))", " ∀x (Democrats(x) → ¬Conservative(x))", " ∀x (Conservative(x) ∨ Liberal(x))", " Conservative(anU.SGovernmentOfficial) ⊕ Republicans(anU.SGovernmentOfficial)"], "label": "True", "source": "hyb"}
 {"story_id": 395, "example_id": 1075, "conclusion": "A U.S government official is either anti-abortion or a liberal.", "premises": ["All Republicans are anti-abortion.", "Either Republicans or Democrats. ", "No Democrats are conservative.", "Either conservative or liberal. ", "A U.S government official is either conservative or a Republican."], "premises-FOL": ["∀x (Republicans(x) → Anti-abortion(x))", " ∀x (Republicans(x) ∨ Democrats(x))", " ∀x (Democrats(x) → ¬Conservative(x))", " ∀x (Conservative(x) ∨ Liberal(x))", " Conservative(anU.SGovernmentOfficial) ⊕ Republicans(anU.SGovernmentOfficial)"], "label": "False", "source": "hyb"}
@@ -299,8 +299,8 @@
 {"story_id": 362, "example_id": 968, "conclusion": "If Matt is either a person who has a lot of disposable income to spend or reads the Wall Street Journal and other newspapers regularly, then Matt neither has a lot of disposable income to spend nor visits the Las Vegas Strip Regularly.", "premises": ["People either invest in the public stock market regularly or enjoy gambling regularly.", "If people invest in the public stock market regularly, then they read the Wall Street Journal and other newspapers regularly to keep updated on financial metrics.", "All people who enjoy gambling regularly spend a lot of money at casinos and other betting games.", "People who spend a lot of money at casinos and other betting games visit the Las Vegas Strip regularly.", "People who spend a lot of money at casinos and other betting games have a lot of disposable income to spend.", "If Matt invests in the public stock market regularly, then Matt neither has a lot of disposable income to spend nor invests in the public stock market regularly. "], "premises-FOL": ["∀x (Invests(x) ∨ Gambling(x))", "∀x (Invests(x) → Newspapers(x))", "∀x (Gambling(x) → Casinos(x))", "∀x (Casinos(x) → LasVegas(x))", "∀x (Casinos(x) → DisposableIncome(x))", "Invests(matt) → ¬DisposableIncome(matt) ∧ ¬Invests(matt)"], "label": "False", "source": "hyb"}
 {"story_id": 241, "example_id": 688, "conclusion": "John can get the rhythms right.", "premises": ["All students learning piano can strike the right notes. ", "All students who can strike the right note can get the rhythms right. ", "If a student can get the rhythms right, he will start working on coordination between the left and the right hands. ", "Some students who start working on coordination between the left and the right hands become good at it. The other students find it challenging. ", "If John can strike the right notes, get the rhythms right and is good at coordination between right and left hands, then he puts emotions into his playing. ", "John is a student learning piano. ", "John does not find coordination between the left and the right hands challenging. "], "premises-FOL": ["∀x (Student(x) ∧ LearningPiano(x) → StrikeRightNotes(x))", "∀x (Student(x) ∧ StrikeRightNotes(x) → GetRhythmRight(x))", "∀x (Student(x) ∧ GetRhythmRight(x) → StartCoordination(x))", "∀x (Student(x) ∧ StartCoordination(x) → GoodAtCoordination(x) ⊕ FindCoordinationChallenging(x))", "StrikeRightNotes(john) ∧ GetRhythmRight(john) ∧ GoodAtCoordination(john) → PutEmotion(john)", "Student(john) ∧ LearningPiano(john)", "¬FindCoordinationChallenging(john)"], "label": "True", "source": "wiki"}
 {"story_id": 241, "example_id": 689, "conclusion": "John does not put emotions into his playing.", "premises": ["All students learning piano can strike the right notes. ", "All students who can strike the right note can get the rhythms right. ", "If a student can get the rhythms right, he will start working on coordination between the left and the right hands. ", "Some students who start working on coordination between the left and the right hands become good at it. The other students find it challenging. ", "If John can strike the right notes, get the rhythms right and is good at coordination between right and left hands, then he puts emotions into his playing. ", "John is a student learning piano. ", "John does not find coordination between the left and the right hands challenging. "], "premises-FOL": ["∀x (Student(x) ∧ LearningPiano(x) → StrikeRightNotes(x))", "∀x (Student(x) ∧ StrikeRightNotes(x) → GetRhythmRight(x))", "∀x (Student(x) ∧ GetRhythmRight(x) → StartCoordination(x))", "∀x (Student(x) ∧ StartCoordination(x) → GoodAtCoordination(x) ⊕ FindCoordinationChallenging(x))", "StrikeRightNotes(john) ∧ GetRhythmRight(john) ∧ GoodAtCoordination(john) → PutEmotion(john)", "Student(john) ∧ LearningPiano(john)", "¬FindCoordinationChallenging(john)"], "label": "False", "source": "wiki"}
-{"story_id": 229, "example_id": 654, "conclusion": "Barbara Ann Marshall did not receive medals.", "premises": ["Barbara Ann Marshall is a former swimmer and former world record-holder.", "Barbara Ann Marshall participated in the 1972 Summer Olympics.", "Barbara Ann Marshall's home country is the United States.", "All people who compete in the 1972 Summer Olympics represent their home country.", "Barbara Ann Marshall participated in the preliminary heat in the freestyle relay.", "Barbara Ann Marshall did not participate in the event final of the 1972 Summer Olympics freestyle relay.", "Only relay swimmers who participated in the event final received medals."], "premises-FOL": ["FormerSwimmer(barbaraannmarshall) ∧ FormerWorldRecordHolder(barbaraannmarshall)", "ParticipatedIn(barbaraannmarshall, summer1972olympics)", "HomeCountry(barbaraannmarshall, unitedstates)", "∀x ∃y (ParticipatedIn(x, summer1972olympics) ∧ HomeCountry(x, y) → Represented(x, y))", "ParticipatedIn(barbaraannmarshall, preliminaryheatfreestylerelay)", "¬ParticipatedIn(barbaraannmarshall, finalheatfreestylerelay)", "∀x ((RelaySwimmer(x) ∧ ¬ParticipatedIn(x, finalheatfreerelay)) ↔ ¬Recieved(x, medal)))"], "label": "Unknown", "source": "wiki"}
-{"story_id": 229, "example_id": 655, "conclusion": "Barbara Ann Marshall represented the United States in the 1972 Summer Olympics.", "premises": ["Barbara Ann Marshall is a former swimmer and former world record-holder.", "Barbara Ann Marshall participated in the 1972 Summer Olympics.", "Barbara Ann Marshall's home country is the United States.", "All people who compete in the 1972 Summer Olympics represent their home country.", "Barbara Ann Marshall participated in the preliminary heat in the freestyle relay.", "Barbara Ann Marshall did not participate in the event final of the 1972 Summer Olympics freestyle relay.", "Only relay swimmers who participated in the event final received medals."], "premises-FOL": ["FormerSwimmer(barbaraannmarshall) ∧ FormerWorldRecordHolder(barbaraannmarshall)", "ParticipatedIn(barbaraannmarshall, summer1972olympics)", "HomeCountry(barbaraannmarshall, unitedstates)", "∀x ∃y (ParticipatedIn(x, summer1972olympics) ∧ HomeCountry(x, y) → Represented(x, y))", "ParticipatedIn(barbaraannmarshall, preliminaryheatfreestylerelay)", "¬ParticipatedIn(barbaraannmarshall, finalheatfreestylerelay)", "∀x ((RelaySwimmer(x) ∧ ¬ParticipatedIn(x, finalheatfreerelay)) ↔ ¬Recieved(x, medal)))"], "label": "True", "source": "wiki"}
+{"story_id": 229, "example_id": 654, "conclusion": "Barbara Ann Marshall did not receive medals.", "premises": ["Barbara Ann Marshall is a former swimmer and former world record-holder.", "Barbara Ann Marshall participated in the 1972 Summer Olympics.", "Barbara Ann Marshall's home country is the United States.", "All people who compete in the 1972 Summer Olympics represent their home country.", "Barbara Ann Marshall participated in the preliminary heat in the freestyle relay.", "Barbara Ann Marshall did not participate in the event final of the 1972 Summer Olympics freestyle relay.", "Only relay swimmers who participated in the event final received medals."], "premises-FOL": ["FormerSwimmer(barbaraannmarshall) ∧ FormerWorldRecordHolder(barbaraannmarshall)", "ParticipatedIn(barbaraannmarshall, summer1972olympics)", "HomeCountry(barbaraannmarshall, unitedstates)", "∀x ∃y (ParticipatedIn(x, summer1972olympics) ∧ HomeCountry(x, y) → Represented(x, y))", "ParticipatedIn(barbaraannmarshall, preliminaryheatfreestylerelay)", "¬ParticipatedIn(barbaraannmarshall, finalheatfreestylerelay)", "∀x ((RelaySwimmer(x) ∧ ¬ParticipatedIn(x, finalheatfreerelay)) ↔ ¬Recieved(x, medal))"], "label": "Unknown", "source": "wiki"}
+{"story_id": 229, "example_id": 655, "conclusion": "Barbara Ann Marshall represented the United States in the 1972 Summer Olympics.", "premises": ["Barbara Ann Marshall is a former swimmer and former world record-holder.", "Barbara Ann Marshall participated in the 1972 Summer Olympics.", "Barbara Ann Marshall's home country is the United States.", "All people who compete in the 1972 Summer Olympics represent their home country.", "Barbara Ann Marshall participated in the preliminary heat in the freestyle relay.", "Barbara Ann Marshall did not participate in the event final of the 1972 Summer Olympics freestyle relay.", "Only relay swimmers who participated in the event final received medals."], "premises-FOL": ["FormerSwimmer(barbaraannmarshall) ∧ FormerWorldRecordHolder(barbaraannmarshall)", "ParticipatedIn(barbaraannmarshall, summer1972olympics)", "HomeCountry(barbaraannmarshall, unitedstates)", "∀x ∃y (ParticipatedIn(x, summer1972olympics) ∧ HomeCountry(x, y) → Represented(x, y))", "ParticipatedIn(barbaraannmarshall, preliminaryheatfreestylerelay)", "¬ParticipatedIn(barbaraannmarshall, finalheatfreestylerelay)", "∀x ((RelaySwimmer(x) ∧ ¬ParticipatedIn(x, finalheatfreerelay)) ↔ ¬Recieved(x, medal))"], "label": "True", "source": "wiki"}
 {"story_id": 201, "example_id": 576, "conclusion": "It is possible to move to the green stage without ever reaching the yellow stage.", "premises": ["A game is played with three stages: red stage, yellow stage, and green stage.", "Each player begins at the red stage.", "All players must reach the yellow stage before they can reach the green stage.", "The yellow stage comes after the red stage.", "All players must proceed one stage at a time."], "premises-FOL": ["∃x (Player(x))", "∀x (Player(x) → StartRed(x))", "∀x (Player(x) → YellowToGreen(x))", "∀x (Player(x) → RedToYellow(x))", "∀x (Player(x) → ¬RedToGreen(x))"], "label": "False", "source": "wiki"}
 {"story_id": 201, "example_id": 577, "conclusion": "It is possible to reach the yellow stage without ever reaching the green stage.", "premises": ["A game is played with three stages: red stage, yellow stage, and green stage.", "Each player begins at the red stage.", "All players must reach the yellow stage before they can reach the green stage.", "The yellow stage comes after the red stage.", "All players must proceed one stage at a time."], "premises-FOL": ["∃x (Player(x))", "∀x (Player(x) → StartRed(x))", "∀x (Player(x) → YellowToGreen(x))", "∀x (Player(x) → RedToYellow(x))", "∀x (Player(x) → ¬RedToGreen(x))"], "label": "True", "source": "wiki"}
 {"story_id": 201, "example_id": 578, "conclusion": "It is possible to complete the game without ever reaching the green stage.", "premises": ["A game is played with three stages: red stage, yellow stage, and green stage.", "Each player begins at the red stage.", "All players must reach the yellow stage before they can reach the green stage.", "The yellow stage comes after the red stage.", "All players must proceed one stage at a time."], "premises-FOL": ["∃x (Player(x))", "∀x (Player(x) → StartRed(x))", "∀x (Player(x) → YellowToGreen(x))", "∀x (Player(x) → RedToYellow(x))", "∀x (Player(x) → ¬RedToGreen(x))"], "label": "Unknown", "source": "wiki"}
@@ -395,9 +395,9 @@
 {"story_id": 439, "example_id": 1266, "conclusion": "Bubbles is an Osprey.", "premises": ["No fish are birds.", "Everything that is an osprey is a bird.", "If something is a carp, then it is a fish.", "All goldfish are carp.", "If Bubbles is either an osprey or a goldfish, then Bubbles is not a fish."], "premises-FOL": ["∀x (Fish(x) → ¬Bird(x))", "∀x (Osprey(x) → Bird(x))", "∀x (Carp(x) → Fish(x))", "∀x (Goldfish(x) → Carp(x))", "Osprey(bubbles) ⊕ Carp(bubbles) → ¬Fish(bubbles)"], "label": "Unknown", "source": "hyb"}
 {"story_id": 439, "example_id": 1267, "conclusion": "Bubbles is a carp.", "premises": ["No fish are birds.", "Everything that is an osprey is a bird.", "If something is a carp, then it is a fish.", "All goldfish are carp.", "If Bubbles is either an osprey or a goldfish, then Bubbles is not a fish."], "premises-FOL": ["∀x (Fish(x) → ¬Bird(x))", "∀x (Osprey(x) → Bird(x))", "∀x (Carp(x) → Fish(x))", "∀x (Goldfish(x) → Carp(x))", "Osprey(bubbles) ⊕ Carp(bubbles) → ¬Fish(bubbles)"], "label": "False", "source": "hyb"}
 {"story_id": 439, "example_id": 1268, "conclusion": "Bubbles is not a carp.", "premises": ["No fish are birds.", "Everything that is an osprey is a bird.", "If something is a carp, then it is a fish.", "All goldfish are carp.", "If Bubbles is either an osprey or a goldfish, then Bubbles is not a fish."], "premises-FOL": ["∀x (Fish(x) → ¬Bird(x))", "∀x (Osprey(x) → Bird(x))", "∀x (Carp(x) → Fish(x))", "∀x (Goldfish(x) → Carp(x))", "Osprey(bubbles) ⊕ Carp(bubbles) → ¬Fish(bubbles)"], "label": "True", "source": "hyb"}
-{"story_id": 158, "example_id": 455, "conclusion": "Mr. Smith has been to San Francisco.", "premises": ["Mr. and Mrs. Smith make a travel plan, they want to go to a city in California or Florida, and where neither of them has ever been.", "Cities in California that they are interested in are San Francisco, Los Angeles, and San Diego.", "Cities in Florida that they are interested in are Orlando and Miami.", "Mr. Smith has been to two cities in California.", "Mrs. Smith has been to one city in Florida."], "premises-FOL": ["∀x (WantToGo(x) → (California(x) ∨ Florida(x)) ∧ (NeverGo(x)))", "∀x (((SanFrancisco(x) ∨ LosAngeles(x) ∨ SanDiego(x)) ∧ California(x)) → WantToGo(x))", "∀x ((Orlando(x) ∨ Miami(x)) ∧ Florida(x)) → WantToGo(x))", "CaliforniaCityVisited(mr.smith, two)", "FloridaCityVisited(mrs.smith, one)"], "label": "Unknown", "source": "wiki"}
-{"story_id": 158, "example_id": 456, "conclusion": "They have at leat one candidate city in Florida to visit.", "premises": ["Mr. and Mrs. Smith make a travel plan, they want to go to a city in California or Florida, and where neither of them has ever been.", "Cities in California that they are interested in are San Francisco, Los Angeles, and San Diego.", "Cities in Florida that they are interested in are Orlando and Miami.", "Mr. Smith has been to two cities in California.", "Mrs. Smith has been to one city in Florida."], "premises-FOL": ["∀x (WantToGo(x) → (California(x) ∨ Florida(x)) ∧ (NeverGo(x)))", "∀x (((SanFrancisco(x) ∨ LosAngeles(x) ∨ SanDiego(x)) ∧ California(x)) → WantToGo(x))", "∀x ((Orlando(x) ∨ Miami(x)) ∧ Florida(x)) → WantToGo(x))", "CaliforniaCityVisited(mr.smith, two)", "FloridaCityVisited(mrs.smith, one)"], "label": "Unknown", "source": "wiki"}
-{"story_id": 158, "example_id": 457, "conclusion": "They have at least two candidate cities in California to visit.", "premises": ["Mr. and Mrs. Smith make a travel plan, they want to go to a city in California or Florida, and where neither of them has ever been.", "Cities in California that they are interested in are San Francisco, Los Angeles, and San Diego.", "Cities in Florida that they are interested in are Orlando and Miami.", "Mr. Smith has been to two cities in California.", "Mrs. Smith has been to one city in Florida."], "premises-FOL": ["∀x (WantToGo(x) → (California(x) ∨ Florida(x)) ∧ (NeverGo(x)))", "∀x (((SanFrancisco(x) ∨ LosAngeles(x) ∨ SanDiego(x)) ∧ California(x)) → WantToGo(x))", "∀x ((Orlando(x) ∨ Miami(x)) ∧ Florida(x)) → WantToGo(x))", "CaliforniaCityVisited(mr.smith, two)", "FloridaCityVisited(mrs.smith, one)"], "label": "Unknown", "source": "wiki"}
+{"story_id": 158, "example_id": 455, "conclusion": "Mr. Smith has been to San Francisco.", "premises": ["Mr. and Mrs. Smith make a travel plan, they want to go to a city in California or Florida, and where neither of them has ever been.", "Cities in California that they are interested in are San Francisco, Los Angeles, and San Diego.", "Cities in Florida that they are interested in are Orlando and Miami.", "Mr. Smith has been to two cities in California.", "Mrs. Smith has been to one city in Florida."], "premises-FOL": ["∀x (WantToGo(x) → (California(x) ∨ Florida(x)) ∧ (NeverGo(x)))", "∀x (((SanFrancisco(x) ∨ LosAngeles(x) ∨ SanDiego(x)) ∧ California(x)) → WantToGo(x))", "∀x (((Orlando(x) ∨ Miami(x)) ∧ Florida(x)) → WantToGo(x))", "CaliforniaCityVisited(mr.smith, two)", "FloridaCityVisited(mrs.smith, one)"], "label": "Unknown", "source": "wiki"}
+{"story_id": 158, "example_id": 456, "conclusion": "They have at leat one candidate city in Florida to visit.", "premises": ["Mr. and Mrs. Smith make a travel plan, they want to go to a city in California or Florida, and where neither of them has ever been.", "Cities in California that they are interested in are San Francisco, Los Angeles, and San Diego.", "Cities in Florida that they are interested in are Orlando and Miami.", "Mr. Smith has been to two cities in California.", "Mrs. Smith has been to one city in Florida."], "premises-FOL": ["∀x (WantToGo(x) → (California(x) ∨ Florida(x)) ∧ (NeverGo(x)))", "∀x (((SanFrancisco(x) ∨ LosAngeles(x) ∨ SanDiego(x)) ∧ California(x)) → WantToGo(x))", "∀x (((Orlando(x) ∨ Miami(x)) ∧ Florida(x)) → WantToGo(x))", "CaliforniaCityVisited(mr.smith, two)", "FloridaCityVisited(mrs.smith, one)"], "label": "Unknown", "source": "wiki"}
+{"story_id": 158, "example_id": 457, "conclusion": "They have at least two candidate cities in California to visit.", "premises": ["Mr. and Mrs. Smith make a travel plan, they want to go to a city in California or Florida, and where neither of them has ever been.", "Cities in California that they are interested in are San Francisco, Los Angeles, and San Diego.", "Cities in Florida that they are interested in are Orlando and Miami.", "Mr. Smith has been to two cities in California.", "Mrs. Smith has been to one city in Florida."], "premises-FOL": ["∀x (WantToGo(x) → (California(x) ∨ Florida(x)) ∧ (NeverGo(x)))", "∀x (((SanFrancisco(x) ∨ LosAngeles(x) ∨ SanDiego(x)) ∧ California(x)) → WantToGo(x))", "∀x (((Orlando(x) ∨ Miami(x)) ∧ Florida(x)) → WantToGo(x))", "CaliforniaCityVisited(mr.smith, two)", "FloridaCityVisited(mrs.smith, one)"], "label": "Unknown", "source": "wiki"}
 {"story_id": 486, "example_id": 1429, "conclusion": "A bird is still.", "premises": ["Everything is either big or small.", "All big things are heavy. ", "All small things are light. ", "All heavy things are still.", "All light things are unstable.", "All unstable things are changing.", "All unstable things are kinetic. ", "A bird is not both heavy and still."], "premises-FOL": ["∀x (Big(x) ⊕ Small(x))", "∀x (Big(x) → Heavy(x))", "∀x (Small(x) → Light(x))", "∀x (Heavy(x) → Still(x))", "∀x (Light(x) → Unstable(x))", "∀x (Unstable(x) → Changing(x))", "∀x (Unstable(x) → Kinetic(x))", "¬(Heavy(bird) ∧ Still(bird))"], "label": "Unknown", "source": "hyb"}
 {"story_id": 486, "example_id": 1430, "conclusion": "A bird is not still.", "premises": ["Everything is either big or small.", "All big things are heavy. ", "All small things are light. ", "All heavy things are still.", "All light things are unstable.", "All unstable things are changing.", "All unstable things are kinetic. ", "A bird is not both heavy and still."], "premises-FOL": ["∀x (Big(x) ⊕ Small(x))", "∀x (Big(x) → Heavy(x))", "∀x (Small(x) → Light(x))", "∀x (Heavy(x) → Still(x))", "∀x (Light(x) → Unstable(x))", "∀x (Unstable(x) → Changing(x))", "∀x (Unstable(x) → Kinetic(x))", "¬(Heavy(bird) ∧ Still(bird))"], "label": "Unknown", "source": "hyb"}
 {"story_id": 486, "example_id": 1431, "conclusion": "A bird is kinetic and changing.", "premises": ["Everything is either big or small.", "All big things are heavy. ", "All small things are light. ", "All heavy things are still.", "All light things are unstable.", "All unstable things are changing.", "All unstable things are kinetic. ", "A bird is not both heavy and still."], "premises-FOL": ["∀x (Big(x) ⊕ Small(x))", "∀x (Big(x) → Heavy(x))", "∀x (Small(x) → Light(x))", "∀x (Heavy(x) → Still(x))", "∀x (Light(x) → Unstable(x))", "∀x (Unstable(x) → Changing(x))", "∀x (Unstable(x) → Kinetic(x))", "¬(Heavy(bird) ∧ Still(bird))"], "label": "True", "source": "hyb"}
@@ -422,9 +422,9 @@
 {"story_id": 327, "example_id": 842, "conclusion": "Roger Federer is a centerback.", "premises": ["No professional basketball players are soccer players.", "All NBA players are professional basketball players.", "All defenders are soccer players.", "All centerbacks are defenders.", "Roger Federer is not an NBA player or a defender."], "premises-FOL": ["¬(∃x (SoccerPlayer(x) ∧ ProfessionalBasketballPlayer(x)))", "∀x (NBAPlayer(x) → ProfessionalBasketballPlayer(x))", "∀x (Defender(x) → SoccerPlayer(x))", "∀x (Centerback(x) → Defender(x))", "¬(NBAPlayer(rogerfederer) ⊕ Defender(rogerfederer))"], "label": "False", "source": "hyb"}
 {"story_id": 327, "example_id": 843, "conclusion": "Roger Federer is not a centerback.", "premises": ["No professional basketball players are soccer players.", "All NBA players are professional basketball players.", "All defenders are soccer players.", "All centerbacks are defenders.", "Roger Federer is not an NBA player or a defender."], "premises-FOL": ["¬(∃x (SoccerPlayer(x) ∧ ProfessionalBasketballPlayer(x)))", "∀x (NBAPlayer(x) → ProfessionalBasketballPlayer(x))", "∀x (Defender(x) → SoccerPlayer(x))", "∀x (Centerback(x) → Defender(x))", "¬(NBAPlayer(rogerfederer) ⊕ Defender(rogerfederer))"], "label": "True", "source": "hyb"}
 {"story_id": 327, "example_id": 844, "conclusion": "Roger Federer is a soccer player.", "premises": ["No professional basketball players are soccer players.", "All NBA players are professional basketball players.", "All defenders are soccer players.", "All centerbacks are defenders.", "Roger Federer is not an NBA player or a defender."], "premises-FOL": ["¬(∃x (SoccerPlayer(x) ∧ ProfessionalBasketballPlayer(x)))", "∀x (NBAPlayer(x) → ProfessionalBasketballPlayer(x))", "∀x (Defender(x) → SoccerPlayer(x))", "∀x (Centerback(x) → Defender(x))", "¬(NBAPlayer(rogerfederer) ⊕ Defender(rogerfederer))"], "label": "Unknown", "source": "hyb"}
-{"story_id": 443, "example_id": 1279, "conclusion": "Mary is nice.", "premises": ["Some teachers working at a pool are not nice.", "All teachers working at pools are pool managers.", "All pool managers are lifeguards.", "If someone is a lifeguard, then they work at a pool.", "Mary does not work at a pool."], "premises-FOL": ["∃x (TeacherWorkingAtPool(x) ∧ ¬Nice(x))", "∀x (TeacherWorkingAtPool(x) → PoolManager(x))", "∀x (PoolManager(x) → Lifeguard(x))", "∀x (Lifeguard(x) → WorkAtPool(x))", "¬WorkAtPool(mary))"], "label": "Unknown", "source": "hyb"}
-{"story_id": 443, "example_id": 1280, "conclusion": "Mary is not nice and is a teacher working at a pool.", "premises": ["Some teachers working at a pool are not nice.", "All teachers working at pools are pool managers.", "All pool managers are lifeguards.", "If someone is a lifeguard, then they work at a pool.", "Mary does not work at a pool."], "premises-FOL": ["∃x (TeacherWorkingAtPool(x) ∧ ¬Nice(x))", "∀x (TeacherWorkingAtPool(x) → PoolManager(x))", "∀x (PoolManager(x) → Lifeguard(x))", "∀x (Lifeguard(x) → WorkAtPool(x))", "¬WorkAtPool(mary))"], "label": "True", "source": "hyb"}
-{"story_id": 443, "example_id": 1281, "conclusion": "Mary is nice and is a teacher working at a pool.", "premises": ["Some teachers working at a pool are not nice.", "All teachers working at pools are pool managers.", "All pool managers are lifeguards.", "If someone is a lifeguard, then they work at a pool.", "Mary does not work at a pool."], "premises-FOL": ["∃x (TeacherWorkingAtPool(x) ∧ ¬Nice(x))", "∀x (TeacherWorkingAtPool(x) → PoolManager(x))", "∀x (PoolManager(x) → Lifeguard(x))", "∀x (Lifeguard(x) → WorkAtPool(x))", "¬WorkAtPool(mary))"], "label": "False", "source": "hyb"}
+{"story_id": 443, "example_id": 1279, "conclusion": "Mary is nice.", "premises": ["Some teachers working at a pool are not nice.", "All teachers working at pools are pool managers.", "All pool managers are lifeguards.", "If someone is a lifeguard, then they work at a pool.", "Mary does not work at a pool."], "premises-FOL": ["∃x (TeacherWorkingAtPool(x) ∧ ¬Nice(x))", "∀x (TeacherWorkingAtPool(x) → PoolManager(x))", "∀x (PoolManager(x) → Lifeguard(x))", "∀x (Lifeguard(x) → WorkAtPool(x))", "¬WorkAtPool(mary)"], "label": "Unknown", "source": "hyb"}
+{"story_id": 443, "example_id": 1280, "conclusion": "Mary is not nice and is a teacher working at a pool.", "premises": ["Some teachers working at a pool are not nice.", "All teachers working at pools are pool managers.", "All pool managers are lifeguards.", "If someone is a lifeguard, then they work at a pool.", "Mary does not work at a pool."], "premises-FOL": ["∃x (TeacherWorkingAtPool(x) ∧ ¬Nice(x))", "∀x (TeacherWorkingAtPool(x) → PoolManager(x))", "∀x (PoolManager(x) → Lifeguard(x))", "∀x (Lifeguard(x) → WorkAtPool(x))", "¬WorkAtPool(mary)"], "label": "True", "source": "hyb"}
+{"story_id": 443, "example_id": 1281, "conclusion": "Mary is nice and is a teacher working at a pool.", "premises": ["Some teachers working at a pool are not nice.", "All teachers working at pools are pool managers.", "All pool managers are lifeguards.", "If someone is a lifeguard, then they work at a pool.", "Mary does not work at a pool."], "premises-FOL": ["∃x (TeacherWorkingAtPool(x) ∧ ¬Nice(x))", "∀x (TeacherWorkingAtPool(x) → PoolManager(x))", "∀x (PoolManager(x) → Lifeguard(x))", "∀x (Lifeguard(x) → WorkAtPool(x))", "¬WorkAtPool(mary)"], "label": "False", "source": "hyb"}
 {"story_id": 302, "example_id": 751, "conclusion": "There exist art pieces that do not require practice.", "premises": ["Not all art pieces require talent.", "Everything that requires talent requires practice."], "premises-FOL": ["∃x (ArtPiece(x) ∧ ¬RequiresTalent(x))", "∀x (RequiresTalent(x) → RequiresPractice(x))"], "label": "True", "source": "wiki"}
 {"story_id": 88, "example_id": 268, "conclusion": "Bernarda Bryson Shahn was born in Greece.", "premises": ["Bernarda Bryson Shahn was a painter and lithographer.", "Bernarda Bryson Shahn was born in Athens, Ohio. ", "Bernarda Bryson Shahn was married to Ben Shahn.", "People born in Athens, Ohio are Americans."], "premises-FOL": ["Painter(bernardaBrysonShahn) ∧ Lithographer(bernardaBrysonShahn) ", "BornIn(bernardaBrysonShahn, athensOhio)", "MarriedTo(bernardaBrysonShahn, benShahn)", "∀x (BornIn(x, athensOhio) → American(x))"], "label": "Unknown", "source": "wiki"}
 {"story_id": 88, "example_id": 269, "conclusion": "Bernarda Bryson Shahn was American.", "premises": ["Bernarda Bryson Shahn was a painter and lithographer.", "Bernarda Bryson Shahn was born in Athens, Ohio. ", "Bernarda Bryson Shahn was married to Ben Shahn.", "People born in Athens, Ohio are Americans."], "premises-FOL": ["Painter(bernardaBrysonShahn) ∧ Lithographer(bernardaBrysonShahn) ", "BornIn(bernardaBrysonShahn, athensOhio)", "MarriedTo(bernardaBrysonShahn, benShahn)", "∀x (BornIn(x, athensOhio) → American(x))"], "label": "True", "source": "wiki"}
@@ -446,9 +446,9 @@
 {"story_id": 381, "example_id": 1023, "conclusion": "Clyde is a history professor who is passionate about his job and subject.", "premises": ["All people who attend Renaissance fairs regularly enjoy dressing up in old-fashioned and historical period clothing.", "If people are fascinated by the history of the Renaissance and other past eras, then they attend Renaissance fairs regularly.", "People are either fascinated by the history of the Renaissance and other past eras, or are not nostalgic academics who enjoy learning.", "If people are focused on the future and industry professions, then they are not nostalgic academics who enjoy learning.", "If people are historical professors who are passionate about their job and subject, then they are nostalgic academics who enjoy learning.", "If Clyde is not focused on the future and industry professions, then he is neither focused on the future and industry professions nor enjoys dressing up in old-fashioned and historical period clothing."], "premises-FOL": ["∀x (RenaissanceFair(x) → DressingUp(x))", "∀x (HistoryRenaissance(x) → RenaissanceFair(x))", "∀x (HistoryRenaissance(x) ∨ NotAcademics(x))", "∀x (Industry(x) → NotAcademics(x))", "∀x (HistoryProf(x) → ¬NotAcademics(x))", "¬Industry(clyde) → ¬(Industry(clyde) ∨ DressingUp(clyde))"], "label": "False", "source": "hyb"}
 {"story_id": 381, "example_id": 1024, "conclusion": "Clyde is a history professor who is passionate about his job and subject, or is not a nostalgic academic who enjoys learning.", "premises": ["All people who attend Renaissance fairs regularly enjoy dressing up in old-fashioned and historical period clothing.", "If people are fascinated by the history of the Renaissance and other past eras, then they attend Renaissance fairs regularly.", "People are either fascinated by the history of the Renaissance and other past eras, or are not nostalgic academics who enjoy learning.", "If people are focused on the future and industry professions, then they are not nostalgic academics who enjoy learning.", "If people are historical professors who are passionate about their job and subject, then they are nostalgic academics who enjoy learning.", "If Clyde is not focused on the future and industry professions, then he is neither focused on the future and industry professions nor enjoys dressing up in old-fashioned and historical period clothing."], "premises-FOL": ["∀x (RenaissanceFair(x) → DressingUp(x))", "∀x (HistoryRenaissance(x) → RenaissanceFair(x))", "∀x (HistoryRenaissance(x) ∨ NotAcademics(x))", "∀x (Industry(x) → NotAcademics(x))", "∀x (HistoryProf(x) → ¬NotAcademics(x))", "¬Industry(clyde) → ¬(Industry(clyde) ∨ DressingUp(clyde))"], "label": "True", "source": "hyb"}
 {"story_id": 270, "example_id": 719, "conclusion": "No sports cars are automobiles designed for family use.", "premises": ["No sports cars are vehicles intended to be driven at moderate speeds.", "All automobiles designed for family use are vehicles intended to be driven at moderate speeds."], "premises-FOL": ["∀x (SportsCar(x) → ¬IntendedToBeDrivenAtModerateSpeeds(x))", "∀x (ForFamilyUse(x) → IntendedToBeDrivenAtModerateSpeeds(x))"], "label": "True", "source": "wiki"}
-{"story_id": 356, "example_id": 949, "conclusion": "Kat is a person who comes to work every day with a positive attitude.", "premises": ["If people work well in teams in their workplace, then they get along with all their colleagues at their work.", "If people come to work every day with a positive attitude, then they work well in teams in their workplace.", "People either come into work every day with a positive attitude or are always tired every morning.", "If people get many promotions from their boss at work, then they receive negative feedback from teams at work.", "Kat is either both a person who works well in teams in their workplace and is always tired every morning, or she neither works well in teams in their workplace nor is always tired every morning."], "premises-FOL": ["∀x (WorkTeams(x) → Colleagues(x))", "∀x (PositiveAttitude(x) → WorkTeams(x))", "∀x (PositiveAttitude(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → BossPromotions(x)))", "∀x (BossPromotions(x) → ¬NegativeFeedback(x))", "(WorkTeams(kat) ∧ Tired(kat)) ∨ ¬WorkTeams(kat) ∧ ¬Tired(kat))"], "label": "Unknown", "source": "hyb"}
-{"story_id": 356, "example_id": 950, "conclusion": "Kat gets along with her colleagues at her work and receives negative feedback from teams at her work.", "premises": ["If people work well in teams in their workplace, then they get along with all their colleagues at their work.", "If people come to work every day with a positive attitude, then they work well in teams in their workplace.", "People either come into work every day with a positive attitude or are always tired every morning.", "If people get many promotions from their boss at work, then they receive negative feedback from teams at work.", "Kat is either both a person who works well in teams in their workplace and is always tired every morning, or she neither works well in teams in their workplace nor is always tired every morning."], "premises-FOL": ["∀x (WorkTeams(x) → Colleagues(x))", "∀x (PositiveAttitude(x) → WorkTeams(x))", "∀x (PositiveAttitude(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → BossPromotions(x)))", "∀x (BossPromotions(x) → ¬NegativeFeedback(x))", "(WorkTeams(kat) ∧ Tired(kat)) ∨ ¬WorkTeams(kat) ∧ ¬Tired(kat))"], "label": "False", "source": "hyb"}
-{"story_id": 356, "example_id": 951, "conclusion": "Kat either gets along with her colleagues at her work or receives negative feedback from teams at her work.", "premises": ["If people work well in teams in their workplace, then they get along with all their colleagues at their work.", "If people come to work every day with a positive attitude, then they work well in teams in their workplace.", "People either come into work every day with a positive attitude or are always tired every morning.", "If people get many promotions from their boss at work, then they receive negative feedback from teams at work.", "Kat is either both a person who works well in teams in their workplace and is always tired every morning, or she neither works well in teams in their workplace nor is always tired every morning."], "premises-FOL": ["∀x (WorkTeams(x) → Colleagues(x))", "∀x (PositiveAttitude(x) → WorkTeams(x))", "∀x (PositiveAttitude(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → BossPromotions(x)))", "∀x (BossPromotions(x) → ¬NegativeFeedback(x))", "(WorkTeams(kat) ∧ Tired(kat)) ∨ ¬WorkTeams(kat) ∧ ¬Tired(kat))"], "label": "True", "source": "hyb"}
+{"story_id": 356, "example_id": 949, "conclusion": "Kat is a person who comes to work every day with a positive attitude.", "premises": ["If people work well in teams in their workplace, then they get along with all their colleagues at their work.", "If people come to work every day with a positive attitude, then they work well in teams in their workplace.", "People either come into work every day with a positive attitude or are always tired every morning.", "If people get many promotions from their boss at work, then they receive negative feedback from teams at work.", "Kat is either both a person who works well in teams in their workplace and is always tired every morning, or she neither works well in teams in their workplace nor is always tired every morning."], "premises-FOL": ["∀x (WorkTeams(x) → Colleagues(x))", "∀x (PositiveAttitude(x) → WorkTeams(x))", "∀x (PositiveAttitude(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → BossPromotions(x)))", "∀x (BossPromotions(x) → ¬NegativeFeedback(x))", "(WorkTeams(kat) ∧ Tired(kat)) ∨ (¬WorkTeams(kat) ∧ ¬Tired(kat))"], "label": "Unknown", "source": "hyb"}
+{"story_id": 356, "example_id": 950, "conclusion": "Kat gets along with her colleagues at her work and receives negative feedback from teams at her work.", "premises": ["If people work well in teams in their workplace, then they get along with all their colleagues at their work.", "If people come to work every day with a positive attitude, then they work well in teams in their workplace.", "People either come into work every day with a positive attitude or are always tired every morning.", "If people get many promotions from their boss at work, then they receive negative feedback from teams at work.", "Kat is either both a person who works well in teams in their workplace and is always tired every morning, or she neither works well in teams in their workplace nor is always tired every morning."], "premises-FOL": ["∀x (WorkTeams(x) → Colleagues(x))", "∀x (PositiveAttitude(x) → WorkTeams(x))", "∀x (PositiveAttitude(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → BossPromotions(x)))", "∀x (BossPromotions(x) → ¬NegativeFeedback(x))", "(WorkTeams(kat) ∧ Tired(kat)) ∨ (¬WorkTeams(kat) ∧ ¬Tired(kat))"], "label": "False", "source": "hyb"}
+{"story_id": 356, "example_id": 951, "conclusion": "Kat either gets along with her colleagues at her work or receives negative feedback from teams at her work.", "premises": ["If people work well in teams in their workplace, then they get along with all their colleagues at their work.", "If people come to work every day with a positive attitude, then they work well in teams in their workplace.", "People either come into work every day with a positive attitude or are always tired every morning.", "If people get many promotions from their boss at work, then they receive negative feedback from teams at work.", "Kat is either both a person who works well in teams in their workplace and is always tired every morning, or she neither works well in teams in their workplace nor is always tired every morning."], "premises-FOL": ["∀x (WorkTeams(x) → Colleagues(x))", "∀x (PositiveAttitude(x) → WorkTeams(x))", "∀x (PositiveAttitude(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → BossPromotions(x)))", "∀x (BossPromotions(x) → ¬NegativeFeedback(x))", "(WorkTeams(kat) ∧ Tired(kat)) ∨ (¬WorkTeams(kat) ∧ ¬Tired(kat))"], "label": "True", "source": "hyb"}
 {"story_id": 276, "example_id": 725, "conclusion": "Drishti is free to modify.", "premises": ["Drishti is open-source.", "Open-source software is free to modify."], "premises-FOL": ["OpenSource(drishti)", "∀x (OpenSource(x) → ModifyFree(x))"], "label": "True", "source": "wiki"}
 {"story_id": 161, "example_id": 464, "conclusion": "Zhang's English score is lower than 95.", "premises": ["There are five grades including A+, A, B+, B, and C in English.", "If a student gets A+ in English, then his score is greater than 95.", "If a student gets A in English, then his score is in the range of 90-95.", "Zhang got an A in English.", "Wang's English score is better than Zhang's.", "Wu's English score is lower than 90."], "premises-FOL": ["Grade(a+) ∨ Grade(a) ∨ Grade(b+) ∨ Grade(b) ∨ Grade(c)", "∀x (GetGrade(x, a+) → GreaterThan95(x))", "∀x (GetGrade(x, a) → Range90to95(x))", "GetGrade(zhang, a)", "Better(wang, zhang)", "LowerThan90(wu)"], "label": "True", "source": "wiki"}
 {"story_id": 161, "example_id": 465, "conclusion": "Wang got an A+ in English.", "premises": ["There are five grades including A+, A, B+, B, and C in English.", "If a student gets A+ in English, then his score is greater than 95.", "If a student gets A in English, then his score is in the range of 90-95.", "Zhang got an A in English.", "Wang's English score is better than Zhang's.", "Wu's English score is lower than 90."], "premises-FOL": ["Grade(a+) ∨ Grade(a) ∨ Grade(b+) ∨ Grade(b) ∨ Grade(c)", "∀x (GetGrade(x, a+) → GreaterThan95(x))", "∀x (GetGrade(x, a) → Range90to95(x))", "GetGrade(zhang, a)", "Better(wang, zhang)", "LowerThan90(wu)"], "label": "Unknown", "source": "wiki"}
@@ -467,8 +467,8 @@
 {"story_id": 18, "example_id": 51, "conclusion": "Miroslav Fiedler is honored by the second smallest eigenvalue of the graph Laplacian.", "premises": ["Miroslav Fiedler was a Czech mathematician.", "Miroslav Fiedler is known for his contributions to linear algebra and graph theory.", "Miroslav Fiedler is honored by the Fiedler eigenvalue.", "Fiedler eigenvalue is the second smallest eigenvalue of the graph Laplacian."], "premises-FOL": ["Czech(miroslavfiedler) ∧ Mathematician(miroslavfiedler)", "KnownFor(miroslavfiedler, contributionsToLinearAlgebraAndGraphTheory)", "HonoredBy(miroslavfiedler, fiedlerEigenvalue)", "TheSecondSmallestEigenvalueOf(fiedlerEigenvalue, theGraphLaplacian)"], "label": "True", "source": "wiki"}
 {"story_id": 18, "example_id": 52, "conclusion": "Miroslav Fiedler was a French mathematician.", "premises": ["Miroslav Fiedler was a Czech mathematician.", "Miroslav Fiedler is known for his contributions to linear algebra and graph theory.", "Miroslav Fiedler is honored by the Fiedler eigenvalue.", "Fiedler eigenvalue is the second smallest eigenvalue of the graph Laplacian."], "premises-FOL": ["Czech(miroslavfiedler) ∧ Mathematician(miroslavfiedler)", "KnownFor(miroslavfiedler, contributionsToLinearAlgebraAndGraphTheory)", "HonoredBy(miroslavfiedler, fiedlerEigenvalue)", "TheSecondSmallestEigenvalueOf(fiedlerEigenvalue, theGraphLaplacian)"], "label": "Unknown", "source": "wiki"}
 {"story_id": 18, "example_id": 53, "conclusion": "A Czech mathematician is known for his contributions to linear algebra and graph theory.", "premises": ["Miroslav Fiedler was a Czech mathematician.", "Miroslav Fiedler is known for his contributions to linear algebra and graph theory.", "Miroslav Fiedler is honored by the Fiedler eigenvalue.", "Fiedler eigenvalue is the second smallest eigenvalue of the graph Laplacian."], "premises-FOL": ["Czech(miroslavfiedler) ∧ Mathematician(miroslavfiedler)", "KnownFor(miroslavfiedler, contributionsToLinearAlgebraAndGraphTheory)", "HonoredBy(miroslavfiedler, fiedlerEigenvalue)", "TheSecondSmallestEigenvalueOf(fiedlerEigenvalue, theGraphLaplacian)"], "label": "True", "source": "wiki"}
-{"story_id": 153, "example_id": 446, "conclusion": "You can play games on a laptop.", "premises": ["A laptop is a computer.", "You can play games on a computer.", "A phone is not a computer."], "premises-FOL": ["∀x (Laptop(x) → Computer(x))", "∀x (Computer(x) → CanPlayGames(x))", "∀x (Phone(x) → ¬Computer(x))", ""], "label": "True", "source": "wiki"}
-{"story_id": 153, "example_id": 447, "conclusion": "You can not play games on a phone.", "premises": ["A laptop is a computer.", "You can play games on a computer.", "A phone is not a computer."], "premises-FOL": ["∀x (Laptop(x) → Computer(x))", "∀x (Computer(x) → CanPlayGames(x))", "∀x (Phone(x) → ¬Computer(x))", ""], "label": "Unknown", "source": "wiki"}
+{"story_id": 153, "example_id": 446, "conclusion": "You can play games on a laptop.", "premises": ["A laptop is a computer.", "You can play games on a computer.", "A phone is not a computer."], "premises-FOL": ["∀x (Laptop(x) → Computer(x))", "∀x (Computer(x) → CanPlayGames(x))", "∀x (Phone(x) → ¬Computer(x))"], "label": "True", "source": "wiki"}
+{"story_id": 153, "example_id": 447, "conclusion": "You can not play games on a phone.", "premises": ["A laptop is a computer.", "You can play games on a computer.", "A phone is not a computer."], "premises-FOL": ["∀x (Laptop(x) → Computer(x))", "∀x (Computer(x) → CanPlayGames(x))", "∀x (Phone(x) → ¬Computer(x))"], "label": "Unknown", "source": "wiki"}
 {"story_id": 11, "example_id": 29, "conclusion": "Walter Folger Brown graduated with a Bachelors of Arts.", "premises": ["Walter Folger Brown was an American politician and lawyer, and served as the postmaster general.", "Walter Folger Brown graduated from Harvard University with a Bachelors of Arts.", "While they were both in Toledo, Walter Folger Brown's father practiced law with Walter Folger Brown.", "Katherin Hafer married Walter Folger Brown."], "premises-FOL": ["AmericanPolitician(walterbrown) ∧ Lawyer(walterbrown) ∧ ServedAs(walterbrown, postamastergeneral)", "Graduated(walterbrown, harvard) ∧ GraduatedWith(walterbrown, bachelorsofart)", "In(walterbrown, toledo) ∧ In(walterbrownfather, toledo) ∧ PracticedLawTogether(walterbrownfather, walterbrown)", "Married(ketherinhafer, walterbrown)"], "label": "True", "source": "wiki"}
 {"story_id": 11, "example_id": 30, "conclusion": "Walter Folger Brown's father was in Toledo.", "premises": ["Walter Folger Brown was an American politician and lawyer, and served as the postmaster general.", "Walter Folger Brown graduated from Harvard University with a Bachelors of Arts.", "While they were both in Toledo, Walter Folger Brown's father practiced law with Walter Folger Brown.", "Katherin Hafer married Walter Folger Brown."], "premises-FOL": ["AmericanPolitician(walterbrown) ∧ Lawyer(walterbrown) ∧ ServedAs(walterbrown, postamastergeneral)", "Graduated(walterbrown, harvard) ∧ GraduatedWith(walterbrown, bachelorsofart)", "In(walterbrown, toledo) ∧ In(walterbrownfather, toledo) ∧ PracticedLawTogether(walterbrownfather, walterbrown)", "Married(ketherinhafer, walterbrown)"], "label": "True", "source": "wiki"}
 {"story_id": 11, "example_id": 31, "conclusion": "Walter Folger Brown was not in Toledo.", "premises": ["Walter Folger Brown was an American politician and lawyer, and served as the postmaster general.", "Walter Folger Brown graduated from Harvard University with a Bachelors of Arts.", "While they were both in Toledo, Walter Folger Brown's father practiced law with Walter Folger Brown.", "Katherin Hafer married Walter Folger Brown."], "premises-FOL": ["AmericanPolitician(walterbrown) ∧ Lawyer(walterbrown) ∧ ServedAs(walterbrown, postamastergeneral)", "Graduated(walterbrown, harvard) ∧ GraduatedWith(walterbrown, bachelorsofart)", "In(walterbrown, toledo) ∧ In(walterbrownfather, toledo) ∧ PracticedLawTogether(walterbrownfather, walterbrown)", "Married(ketherinhafer, walterbrown)"], "label": "False", "source": "wiki"}
@@ -493,9 +493,9 @@
 {"story_id": 66, "example_id": 198, "conclusion": "Skateboarding will appear at The 2028 Summer Olympics.", "premises": ["If a city hold a Summer Olympics, and the city is a US city, then the Summer Olympics will be in the US.", "If a city is in a state which is in US, the city is a US city.", "If a city in a state, and a Summer Olympics is in this city, then the Summer Olympics is in this state.", "The 2028 Summer Olympics is scheduled to take place in Los Angeles(LA).", "LA is a city in California(CA).", "Atlanta is a US city.", "Atlanta is in Georgia(CA).", "CA is a state in the United States.", "Boxing, modern pentathlon, and weightlifting will be removed from The 2028 Summer Olympics.", "Atlanta in the United States hold the 1996 Summer Olympics."], "premises-FOL": ["∀x ∀y (SummerOlympicsCity(x, y) ∧ CityInCountry(y, us) → SummerOlympicsCountry(x, us))", "∀x ∀y (CityInState(x, y) ∧ StateInCountry(y, us) → CityInCountry(x, us))", "∀x ∀y ∀z (CityInState(x, y) ∧ SummerOlympicsCity(z, x) → SummerOlympicsState(z, y))", "SummerOlympicsCity(y2028, la)", "CityInState(la, ca)", "CityInCountry(atlanta, us)", "StateInCountry(ca, us)", "CityInState(atlanta, ga)", "¬InSummerOlympics(y2028, boxing) ∧ ¬InSummerOlympics(y2028, modern_pentathlon) ∧ ¬InSummerOlympics(y2028, weightlifting)", "SummerOlympicsCity(y1996, atlanta)"], "label": "Unknown", "source": "wiki"}
 {"story_id": 9, "example_id": 23, "conclusion": "Cats like playing with taiga vole.", "premises": ["The taiga vole is a large vole found in northwestern North America. ", "Cats like playing with all voles.", "The taiga vole lives in the boreal taiga zone.", "The boreal taiga zone in North America is a cold place to live in.", "Taiga vole is typically much larger than most other North American voles, especially those from the genus Microtus."], "premises-FOL": ["Vole(taigaVole) ∧ Find(taigaVole, northAmerica)", "∀x (Vole(x) → CatLikePlayingWith(x))", "Live(taigaVole, borealTaigaZone)", "∀x (Find(x, northAmerica) ∧ Live(x, borealTaigaZone) → LiveInColdPlace(x))", "Larger(taigaVole, microtusVole)"], "label": "True", "source": "wiki"}
 {"story_id": 9, "example_id": 24, "conclusion": "Taiga vole's living place is not cold.", "premises": ["The taiga vole is a large vole found in northwestern North America. ", "Cats like playing with all voles.", "The taiga vole lives in the boreal taiga zone.", "The boreal taiga zone in North America is a cold place to live in.", "Taiga vole is typically much larger than most other North American voles, especially those from the genus Microtus."], "premises-FOL": ["Vole(taigaVole) ∧ Find(taigaVole, northAmerica)", "∀x (Vole(x) → CatLikePlayingWith(x))", "Live(taigaVole, borealTaigaZone)", "∀x (Find(x, northAmerica) ∧ Live(x, borealTaigaZone) → LiveInColdPlace(x))", "Larger(taigaVole, microtusVole)"], "label": "False", "source": "wiki"}
-{"story_id": 389, "example_id": 1046, "conclusion": "Adenocarcinoma is a breast cancer.", "premises": ["Either in women or in men. ", "No men have breast cancer.", "Either breast cancer or non-breast cancer. ", "No type of cancer is without a tumor.", "All non-breast cancers are a type of cancer.", "If adenocarcinoma is a type of cancer or without a tumor, then adenocarcinoma is in women or without a tumor."], "premises-FOL": ["∀x (Women(x) ∨ Men(x)) ", " ∀x (Men(x) → ¬BreastCancer(x))", " ∀x (BreastCancer (x) ∨ Non-BreastCancer(x)) ", " ∀x (ATypeOfCancer(x) → ¬WithoutTumor (x)) ", " ∀x (Non-BreastCancer(x) → ATypeOfCancer(x)) ", " ATypeOfCancer(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma) → women(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma)"], "label": "Unknown", "source": "hyb"}
-{"story_id": 389, "example_id": 1047, "conclusion": "Adenocarcinoma is in women.", "premises": ["Either in women or in men. ", "No men have breast cancer.", "Either breast cancer or non-breast cancer. ", "No type of cancer is without a tumor.", "All non-breast cancers are a type of cancer.", "If adenocarcinoma is a type of cancer or without a tumor, then adenocarcinoma is in women or without a tumor."], "premises-FOL": ["∀x (Women(x) ∨ Men(x)) ", " ∀x (Men(x) → ¬BreastCancer(x))", " ∀x (BreastCancer (x) ∨ Non-BreastCancer(x)) ", " ∀x (ATypeOfCancer(x) → ¬WithoutTumor (x)) ", " ∀x (Non-BreastCancer(x) → ATypeOfCancer(x)) ", " ATypeOfCancer(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma) → women(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma)"], "label": "True", "source": "hyb"}
-{"story_id": 389, "example_id": 1048, "conclusion": "If adenocarcinoma is in women or without a tumor, then adenocarcinoma is without a tumor and a non-breast cancer.", "premises": ["Either in women or in men. ", "No men have breast cancer.", "Either breast cancer or non-breast cancer. ", "No type of cancer is without a tumor.", "All non-breast cancers are a type of cancer.", "If adenocarcinoma is a type of cancer or without a tumor, then adenocarcinoma is in women or without a tumor."], "premises-FOL": ["∀x (Women(x) ∨ Men(x)) ", " ∀x (Men(x) → ¬BreastCancer(x))", " ∀x (BreastCancer (x) ∨ Non-BreastCancer(x)) ", " ∀x (ATypeOfCancer(x) → ¬WithoutTumor (x)) ", " ∀x (Non-BreastCancer(x) → ATypeOfCancer(x)) ", " ATypeOfCancer(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma) → women(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma)"], "label": "False", "source": "hyb"}
+{"story_id": 389, "example_id": 1046, "conclusion": "Adenocarcinoma is a breast cancer.", "premises": ["Either in women or in men. ", "No men have breast cancer.", "Either breast cancer or non-breast cancer. ", "No type of cancer is without a tumor.", "All non-breast cancers are a type of cancer.", "If adenocarcinoma is a type of cancer or without a tumor, then adenocarcinoma is in women or without a tumor."], "premises-FOL": ["∀x (Women(x) ∨ Men(x)) ", " ∀x (Men(x) → ¬BreastCancer(x))", " ∀x (BreastCancer (x) ∨ Non-BreastCancer(x)) ", " ∀x (ATypeOfCancer(x) → ¬WithoutTumor (x)) ", " ∀x (Non-BreastCancer(x) → ATypeOfCancer(x)) ", " ATypeOfCancer(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma) → Women(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma)"], "label": "Unknown", "source": "hyb"}
+{"story_id": 389, "example_id": 1047, "conclusion": "Adenocarcinoma is in women.", "premises": ["Either in women or in men. ", "No men have breast cancer.", "Either breast cancer or non-breast cancer. ", "No type of cancer is without a tumor.", "All non-breast cancers are a type of cancer.", "If adenocarcinoma is a type of cancer or without a tumor, then adenocarcinoma is in women or without a tumor."], "premises-FOL": ["∀x (Women(x) ∨ Men(x)) ", " ∀x (Men(x) → ¬BreastCancer(x))", " ∀x (BreastCancer (x) ∨ Non-BreastCancer(x)) ", " ∀x (ATypeOfCancer(x) → ¬WithoutTumor (x)) ", " ∀x (Non-BreastCancer(x) → ATypeOfCancer(x)) ", " ATypeOfCancer(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma) → Women(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma)"], "label": "True", "source": "hyb"}
+{"story_id": 389, "example_id": 1048, "conclusion": "If adenocarcinoma is in women or without a tumor, then adenocarcinoma is without a tumor and a non-breast cancer.", "premises": ["Either in women or in men. ", "No men have breast cancer.", "Either breast cancer or non-breast cancer. ", "No type of cancer is without a tumor.", "All non-breast cancers are a type of cancer.", "If adenocarcinoma is a type of cancer or without a tumor, then adenocarcinoma is in women or without a tumor."], "premises-FOL": ["∀x (Women(x) ∨ Men(x)) ", " ∀x (Men(x) → ¬BreastCancer(x))", " ∀x (BreastCancer (x) ∨ Non-BreastCancer(x)) ", " ∀x (ATypeOfCancer(x) → ¬WithoutTumor (x)) ", " ∀x (Non-BreastCancer(x) → ATypeOfCancer(x)) ", " ATypeOfCancer(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma) → Women(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma)"], "label": "False", "source": "hyb"}
 {"story_id": 59, "example_id": 175, "conclusion": "LG34 machine is produced by AOC.", "premises": ["Some monitors equipped in the lab are produced by the company named AOC. ", "All monitors equipped in the lab are cheaper than their original prices. ", "If the monitor is cheaper than its original prices, then its resolution is 1080p. ", "If a monitor is with a resolution of 1080p, then it does not support the type-c port. ", "LG34 is equipped in the lab.  "], "premises-FOL": ["∃x (Lab(x) ∧ AOC(x))", "∀x (Lab(x) → Cheaper(x))", "∀x (Cheaper(x) → A1080p(x))", "∀x (A1080p(x) → ¬TypeC(x))", "Lab(lg-34)"], "label": "Unknown", "source": "wiki"}
 {"story_id": 59, "example_id": 176, "conclusion": "LG34 machine does not support the type-c port.", "premises": ["Some monitors equipped in the lab are produced by the company named AOC. ", "All monitors equipped in the lab are cheaper than their original prices. ", "If the monitor is cheaper than its original prices, then its resolution is 1080p. ", "If a monitor is with a resolution of 1080p, then it does not support the type-c port. ", "LG34 is equipped in the lab.  "], "premises-FOL": ["∃x (Lab(x) ∧ AOC(x))", "∀x (Lab(x) → Cheaper(x))", "∀x (Cheaper(x) → A1080p(x))", "∀x (A1080p(x) → ¬TypeC(x))", "Lab(lg-34)"], "label": "True", "source": "wiki"}
 {"story_id": 59, "example_id": 177, "conclusion": "LG34 is not with a resolution of 1080p.", "premises": ["Some monitors equipped in the lab are produced by the company named AOC. ", "All monitors equipped in the lab are cheaper than their original prices. ", "If the monitor is cheaper than its original prices, then its resolution is 1080p. ", "If a monitor is with a resolution of 1080p, then it does not support the type-c port. ", "LG34 is equipped in the lab.  "], "premises-FOL": ["∃x (Lab(x) ∧ AOC(x))", "∀x (Lab(x) → Cheaper(x))", "∀x (Cheaper(x) → A1080p(x))", "∀x (A1080p(x) → ¬TypeC(x))", "Lab(lg-34)"], "label": "False", "source": "wiki"}
@@ -576,9 +576,9 @@
 {"story_id": 479, "example_id": 1399, "conclusion": "Grapes are not a food.", "premises": ["No grass is food. ", "All meadows are grass.", "All edible things are food. ", "All fruits are edible.", "All lemons are fruit.", "Grapes are not edible and lemons.", "Bananas are grass or fruit."], "premises-FOL": ["∀x (Grass(x) → ¬Food(x))", "∀x (Meadow(x) → Grass(x))", "∀x (Edible(x) → Food(x))", "∀x (Fruit(x) → Edible(x))", "∀x (Lemon(x) → Fruit(x))", "¬(Edible(grape) ∧ Lemon(grape))", "Grass(banana) ∨ Fruit(banana)"], "label": "Unknown", "source": "hyb"}
 {"story_id": 479, "example_id": 1400, "conclusion": "Bananas are a lemon and meadow.", "premises": ["No grass is food. ", "All meadows are grass.", "All edible things are food. ", "All fruits are edible.", "All lemons are fruit.", "Grapes are not edible and lemons.", "Bananas are grass or fruit."], "premises-FOL": ["∀x (Grass(x) → ¬Food(x))", "∀x (Meadow(x) → Grass(x))", "∀x (Edible(x) → Food(x))", "∀x (Fruit(x) → Edible(x))", "∀x (Lemon(x) → Fruit(x))", "¬(Edible(grape) ∧ Lemon(grape))", "Grass(banana) ∨ Fruit(banana)"], "label": "False", "source": "hyb"}
 {"story_id": 479, "example_id": 1401, "conclusion": "Bananas are not both a lemon and a meadow.", "premises": ["No grass is food. ", "All meadows are grass.", "All edible things are food. ", "All fruits are edible.", "All lemons are fruit.", "Grapes are not edible and lemons.", "Bananas are grass or fruit."], "premises-FOL": ["∀x (Grass(x) → ¬Food(x))", "∀x (Meadow(x) → Grass(x))", "∀x (Edible(x) → Food(x))", "∀x (Fruit(x) → Edible(x))", "∀x (Lemon(x) → Fruit(x))", "¬(Edible(grape) ∧ Lemon(grape))", "Grass(banana) ∨ Fruit(banana)"], "label": "True", "source": "hyb"}
-{"story_id": 21, "example_id": 60, "conclusion": "The Boston Celtics is from San Francisco.", "premises": ["The Golden State Warriors are a team from San Francisco.", "The Golden State Warriors won the NBA finals.", "All teams attending the NBA finals have more than thirty years of history.", "Boston Celtics are a team that lost the NBA finals.", "If a team wins the NBA finals, then they will have more income.", "If a team wins or loses at the NBA finals, then they are attending the finals."], "premises-FOL": ["Team(goldenstatewarriors) ∧ From(goldenstatewarriors, sanfrancisco)", "Won(goldenstatewarriors, nbafinals)", "∀x (team(x) ∧ Attending(x, nbafinals) → HasMoreThan(x, thirtyyearsofhistory))", "Team(bostonceltics) ∧ Lost(bostonceltics, nbafinals)", "∀x (Team(x) ∧ Won(x, nbafinals) → MoreIncome(x))", "∀x (Won(x, nbafinals) ∨ Lost(x, nbafinals) → Attending(x, nbafinals))"], "label": "Unknown", "source": "wiki"}
-{"story_id": 21, "example_id": 61, "conclusion": "The Boston Celtics has more than 30 years of experience.", "premises": ["The Golden State Warriors are a team from San Francisco.", "The Golden State Warriors won the NBA finals.", "All teams attending the NBA finals have more than thirty years of history.", "Boston Celtics are a team that lost the NBA finals.", "If a team wins the NBA finals, then they will have more income.", "If a team wins or loses at the NBA finals, then they are attending the finals."], "premises-FOL": ["Team(goldenstatewarriors) ∧ From(goldenstatewarriors, sanfrancisco)", "Won(goldenstatewarriors, nbafinals)", "∀x (team(x) ∧ Attending(x, nbafinals) → HasMoreThan(x, thirtyyearsofhistory))", "Team(bostonceltics) ∧ Lost(bostonceltics, nbafinals)", "∀x (Team(x) ∧ Won(x, nbafinals) → MoreIncome(x))", "∀x (Won(x, nbafinals) ∨ Lost(x, nbafinals) → Attending(x, nbafinals))"], "label": "True", "source": "wiki"}
-{"story_id": 21, "example_id": 62, "conclusion": "The Golden State Warriors will have more income for gate receipts.", "premises": ["The Golden State Warriors are a team from San Francisco.", "The Golden State Warriors won the NBA finals.", "All teams attending the NBA finals have more than thirty years of history.", "Boston Celtics are a team that lost the NBA finals.", "If a team wins the NBA finals, then they will have more income.", "If a team wins or loses at the NBA finals, then they are attending the finals."], "premises-FOL": ["Team(goldenstatewarriors) ∧ From(goldenstatewarriors, sanfrancisco)", "Won(goldenstatewarriors, nbafinals)", "∀x (team(x) ∧ Attending(x, nbafinals) → HasMoreThan(x, thirtyyearsofhistory))", "Team(bostonceltics) ∧ Lost(bostonceltics, nbafinals)", "∀x (Team(x) ∧ Won(x, nbafinals) → MoreIncome(x))", "∀x (Won(x, nbafinals) ∨ Lost(x, nbafinals) → Attending(x, nbafinals))"], "label": "True", "source": "wiki"}
+{"story_id": 21, "example_id": 60, "conclusion": "The Boston Celtics is from San Francisco.", "premises": ["The Golden State Warriors are a team from San Francisco.", "The Golden State Warriors won the NBA finals.", "All teams attending the NBA finals have more than thirty years of history.", "Boston Celtics are a team that lost the NBA finals.", "If a team wins the NBA finals, then they will have more income.", "If a team wins or loses at the NBA finals, then they are attending the finals."], "premises-FOL": ["Team(goldenstatewarriors) ∧ From(goldenstatewarriors, sanfrancisco)", "Won(goldenstatewarriors, nbafinals)", "∀x (Team(x) ∧ Attending(x, nbafinals) → HasMoreThan(x, thirtyyearsofhistory))", "Team(bostonceltics) ∧ Lost(bostonceltics, nbafinals)", "∀x (Team(x) ∧ Won(x, nbafinals) → MoreIncome(x))", "∀x (Won(x, nbafinals) ∨ Lost(x, nbafinals) → Attending(x, nbafinals))"], "label": "Unknown", "source": "wiki"}
+{"story_id": 21, "example_id": 61, "conclusion": "The Boston Celtics has more than 30 years of experience.", "premises": ["The Golden State Warriors are a team from San Francisco.", "The Golden State Warriors won the NBA finals.", "All teams attending the NBA finals have more than thirty years of history.", "Boston Celtics are a team that lost the NBA finals.", "If a team wins the NBA finals, then they will have more income.", "If a team wins or loses at the NBA finals, then they are attending the finals."], "premises-FOL": ["Team(goldenstatewarriors) ∧ From(goldenstatewarriors, sanfrancisco)", "Won(goldenstatewarriors, nbafinals)", "∀x (Team(x) ∧ Attending(x, nbafinals) → HasMoreThan(x, thirtyyearsofhistory))", "Team(bostonceltics) ∧ Lost(bostonceltics, nbafinals)", "∀x (Team(x) ∧ Won(x, nbafinals) → MoreIncome(x))", "∀x (Won(x, nbafinals) ∨ Lost(x, nbafinals) → Attending(x, nbafinals))"], "label": "True", "source": "wiki"}
+{"story_id": 21, "example_id": 62, "conclusion": "The Golden State Warriors will have more income for gate receipts.", "premises": ["The Golden State Warriors are a team from San Francisco.", "The Golden State Warriors won the NBA finals.", "All teams attending the NBA finals have more than thirty years of history.", "Boston Celtics are a team that lost the NBA finals.", "If a team wins the NBA finals, then they will have more income.", "If a team wins or loses at the NBA finals, then they are attending the finals."], "premises-FOL": ["Team(goldenstatewarriors) ∧ From(goldenstatewarriors, sanfrancisco)", "Won(goldenstatewarriors, nbafinals)", "∀x (Team(x) ∧ Attending(x, nbafinals) → HasMoreThan(x, thirtyyearsofhistory))", "Team(bostonceltics) ∧ Lost(bostonceltics, nbafinals)", "∀x (Team(x) ∧ Won(x, nbafinals) → MoreIncome(x))", "∀x (Won(x, nbafinals) ∨ Lost(x, nbafinals) → Attending(x, nbafinals))"], "label": "True", "source": "wiki"}
 {"story_id": 218, "example_id": 624, "conclusion": "Maya will not play violin.", "premises": ["Maya will play violin if and only if she never injures her fingers.", "Volleyball players can injure their ankle, fingers, or shoulder.", "Maya is a volleyball player."], "premises-FOL": ["CanInjureFingures(maya) → ¬WillPlayViolin(maya)", "∀x (VolleyballPlayer(x) → CanInjureFingures(x))", "VolleyballPlayer(maya)"], "label": "True", "source": "wiki"}
 {"story_id": 428, "example_id": 1220, "conclusion": "IPod1 is controlled by managers.", "premises": ["All devices belonging to the company are connected to Google Home. ", "All devices with the company logo belong to the company. ", "A device is either with the company logo or belongs to employees. ", "All devices belonging to employees are available to connect to the company's wifi. ", "All devices connected to Google Home are controlled by managers. ", "All devices that connect to the company's wifi are easy to operate. ", "All devices that are easy to operate are produced after 2020. ", "IPod1 is produced before 2020. "], "premises-FOL": ["∀x (InCompany(x) → GoogleHome(x))", "∀x (CompanyLogo(x) → InCompany(x))", "∀x (CompanyLogo(x) ∨ Employee(x))", "∀x (Employee(x) → Wifi(x))", "∀x (GoogleHome(x) → ControlledByManager(x))", "∀x (Wifi(x) → EasyToOperate(x))", "∀x (EasyToOperate(x) → ProducedAfter2020(x))", "¬ProducedAfter2020(iPod1)"], "label": "True", "source": "hyb"}
 {"story_id": 428, "example_id": 1221, "conclusion": "IPod1 is either produced after 2020 or controlled by managers.", "premises": ["All devices belonging to the company are connected to Google Home. ", "All devices with the company logo belong to the company. ", "A device is either with the company logo or belongs to employees. ", "All devices belonging to employees are available to connect to the company's wifi. ", "All devices connected to Google Home are controlled by managers. ", "All devices that connect to the company's wifi are easy to operate. ", "All devices that are easy to operate are produced after 2020. ", "IPod1 is produced before 2020. "], "premises-FOL": ["∀x (InCompany(x) → GoogleHome(x))", "∀x (CompanyLogo(x) → InCompany(x))", "∀x (CompanyLogo(x) ∨ Employee(x))", "∀x (Employee(x) → Wifi(x))", "∀x (GoogleHome(x) → ControlledByManager(x))", "∀x (Wifi(x) → EasyToOperate(x))", "∀x (EasyToOperate(x) → ProducedAfter2020(x))", "¬ProducedAfter2020(iPod1)"], "label": "True", "source": "hyb"}
@@ -599,9 +599,9 @@
 {"story_id": 39, "example_id": 114, "conclusion": "\"Your Woman\" was extremely popular.", "premises": ["\"Your Woman\" is a song by British one-man band White Town.", "\"Your Woman\" song peaked at No. 1 on the UK Singles Chart.", "If a song peaked at No.1 at a cetain place, then it was extremely popular.", "\"Your Woman\" also peaked No. 1 in Iceland, Israel and Spain."], "premises-FOL": ["Produce(whiteTown, yourWoman)", "Peak(yourWoman, uKSinglesChart)", "∀x ∀y (Peak(x, y) → Popular(x))", "Peak(yourWoman, iceland) ∧ Peak(yourWoman, isarel) ∧ Peak(yourWoman, spain)"], "label": "True", "source": "wiki"}
 {"story_id": 39, "example_id": 115, "conclusion": "White Town did not produce any popular song.", "premises": ["\"Your Woman\" is a song by British one-man band White Town.", "\"Your Woman\" song peaked at No. 1 on the UK Singles Chart.", "If a song peaked at No.1 at a cetain place, then it was extremely popular.", "\"Your Woman\" also peaked No. 1 in Iceland, Israel and Spain."], "premises-FOL": ["Produce(whiteTown, yourWoman)", "Peak(yourWoman, uKSinglesChart)", "∀x ∀y (Peak(x, y) → Popular(x))", "Peak(yourWoman, iceland) ∧ Peak(yourWoman, isarel) ∧ Peak(yourWoman, spain)"], "label": "False", "source": "wiki"}
 {"story_id": 39, "example_id": 116, "conclusion": "White Town was a successful band.", "premises": ["\"Your Woman\" is a song by British one-man band White Town.", "\"Your Woman\" song peaked at No. 1 on the UK Singles Chart.", "If a song peaked at No.1 at a cetain place, then it was extremely popular.", "\"Your Woman\" also peaked No. 1 in Iceland, Israel and Spain."], "premises-FOL": ["Produce(whiteTown, yourWoman)", "Peak(yourWoman, uKSinglesChart)", "∀x ∀y (Peak(x, y) → Popular(x))", "Peak(yourWoman, iceland) ∧ Peak(yourWoman, isarel) ∧ Peak(yourWoman, spain)"], "label": "Unknown", "source": "wiki"}
-{"story_id": 374, "example_id": 1001, "conclusion": "Mark limps often and regularly.", "premises": ["All people who limp often and regularly have long-term medical issues with underlying causes.", "If people have long-term medical issues with underlying causes, then they are not often spry and energetic.", "People either stay indoors and rest a lot at home or people are often tired and disinterested in their activities.", "If people stay indoors and rest a lot at home, then they do not visit the gym at least once a day.", "If Mark either limps often and regularly or is often spry and energetic, then Mark limps often and regularly or is often tired and disinterested in his activities."], "premises-FOL": ["∀x (Limp(x) → Medical(x))", "∀x (Medical(x) → ¬Spry(x))", "∀x (Spry(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → Indoors(x)))", "∀x (Indoors(x) → ¬Gym(x))", "(Limp(Mark) ⊕ Spry(Mark)) → Limp(Mark) ∨ Tired(Mark)"], "label": "Unknown", "source": "hyb"}
-{"story_id": 374, "example_id": 1002, "conclusion": "Mark visits the gym at least once a day.", "premises": ["All people who limp often and regularly have long-term medical issues with underlying causes.", "If people have long-term medical issues with underlying causes, then they are not often spry and energetic.", "People either stay indoors and rest a lot at home or people are often tired and disinterested in their activities.", "If people stay indoors and rest a lot at home, then they do not visit the gym at least once a day.", "If Mark either limps often and regularly or is often spry and energetic, then Mark limps often and regularly or is often tired and disinterested in his activities."], "premises-FOL": ["∀x (Limp(x) → Medical(x))", "∀x (Medical(x) → ¬Spry(x))", "∀x (Spry(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → Indoors(x)))", "∀x (Indoors(x) → ¬Gym(x))", "(Limp(Mark) ⊕ Spry(Mark)) → Limp(Mark) ∨ Tired(Mark)"], "label": "False", "source": "hyb"}
-{"story_id": 374, "example_id": 1003, "conclusion": "Mark stays indoors and rests regularly at his home or visits the gym at least once a day.", "premises": ["All people who limp often and regularly have long-term medical issues with underlying causes.", "If people have long-term medical issues with underlying causes, then they are not often spry and energetic.", "People either stay indoors and rest a lot at home or people are often tired and disinterested in their activities.", "If people stay indoors and rest a lot at home, then they do not visit the gym at least once a day.", "If Mark either limps often and regularly or is often spry and energetic, then Mark limps often and regularly or is often tired and disinterested in his activities."], "premises-FOL": ["∀x (Limp(x) → Medical(x))", "∀x (Medical(x) → ¬Spry(x))", "∀x (Spry(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → Indoors(x)))", "∀x (Indoors(x) → ¬Gym(x))", "(Limp(Mark) ⊕ Spry(Mark)) → Limp(Mark) ∨ Tired(Mark)"], "label": "True", "source": "hyb"}
+{"story_id": 374, "example_id": 1001, "conclusion": "Mark limps often and regularly.", "premises": ["All people who limp often and regularly have long-term medical issues with underlying causes.", "If people have long-term medical issues with underlying causes, then they are not often spry and energetic.", "People either stay indoors and rest a lot at home or people are often tired and disinterested in their activities.", "If people stay indoors and rest a lot at home, then they do not visit the gym at least once a day.", "If Mark either limps often and regularly or is often spry and energetic, then Mark limps often and regularly or is often tired and disinterested in his activities."], "premises-FOL": ["∀x (Limp(x) → Medical(x))", "∀x (Medical(x) → ¬Spry(x))", "∀x (Spry(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → Indoors(x)))", "∀x (Indoors(x) → ¬Gym(x))", "(Limp(mark) ⊕ Spry(mark)) → Limp(mark) ∨ Tired(mark)"], "label": "Unknown", "source": "hyb"}
+{"story_id": 374, "example_id": 1002, "conclusion": "Mark visits the gym at least once a day.", "premises": ["All people who limp often and regularly have long-term medical issues with underlying causes.", "If people have long-term medical issues with underlying causes, then they are not often spry and energetic.", "People either stay indoors and rest a lot at home or people are often tired and disinterested in their activities.", "If people stay indoors and rest a lot at home, then they do not visit the gym at least once a day.", "If Mark either limps often and regularly or is often spry and energetic, then Mark limps often and regularly or is often tired and disinterested in his activities."], "premises-FOL": ["∀x (Limp(x) → Medical(x))", "∀x (Medical(x) → ¬Spry(x))", "∀x (Spry(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → Indoors(x)))", "∀x (Indoors(x) → ¬Gym(x))", "(Limp(mark) ⊕ Spry(mark)) → Limp(mark) ∨ Tired(mark)"], "label": "False", "source": "hyb"}
+{"story_id": 374, "example_id": 1003, "conclusion": "Mark stays indoors and rests regularly at his home or visits the gym at least once a day.", "premises": ["All people who limp often and regularly have long-term medical issues with underlying causes.", "If people have long-term medical issues with underlying causes, then they are not often spry and energetic.", "People either stay indoors and rest a lot at home or people are often tired and disinterested in their activities.", "If people stay indoors and rest a lot at home, then they do not visit the gym at least once a day.", "If Mark either limps often and regularly or is often spry and energetic, then Mark limps often and regularly or is often tired and disinterested in his activities."], "premises-FOL": ["∀x (Limp(x) → Medical(x))", "∀x (Medical(x) → ¬Spry(x))", "∀x (Spry(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → Indoors(x)))", "∀x (Indoors(x) → ¬Gym(x))", "(Limp(mark) ⊕ Spry(mark)) → Limp(mark) ∨ Tired(mark)"], "label": "True", "source": "hyb"}
 {"story_id": 188, "example_id": 543, "conclusion": "Real Madrid and Atlético Madrid needed to play a penalty shoot-out in 2016 UCL final.", "premises": ["If two soccer teams score the same number of goals in one UCL final during the regular time, they need to play for the extra time.", "If two soccer teams score the same number of goals in one UCL final during both the regular time and extra time, they need to play the penalty shoot-out.", "Real Madrid and Atlético Madrid both scored one goal in 2016 UCL final during the regular time.", "Real Madrid and Atlético Madrid both scored zero goals in 2016 UCL final during the extra time."], "premises-FOL": ["∀x ∀y (SoccerTeam(x) ∧ SoccerTeam(y) ∧ SameScore(x, y) ∧ During(regularTime) → PlayExtra(x, y))", "∀x ∀y (SoccerTeam(x) ∧ SoccerTeam(y) ∧ SameScore(x, y) ∧ During(regularTime) ∧ During(extraTime) → PlayPenalty(x, y))", "SoccerTeam(realMadrid) ∧ SoccerTeam(atleticoMadrid) ∧ SameScore(realMadrid, atleticoMadrid) ∧ During(regularTime)", "SoccerTeam(realMadrid) ∧ SoccerTeam(atleticoMadrid) ∧ SameScore(realMadrid, atleticoMadrid) ∧ During(extraTime)"], "label": "True", "source": "wiki"}
 {"story_id": 188, "example_id": 544, "conclusion": "Real Madrid and Atlético Madrid did not need to play a penalty shoot-out in 2016 UCL final.", "premises": ["If two soccer teams score the same number of goals in one UCL final during the regular time, they need to play for the extra time.", "If two soccer teams score the same number of goals in one UCL final during both the regular time and extra time, they need to play the penalty shoot-out.", "Real Madrid and Atlético Madrid both scored one goal in 2016 UCL final during the regular time.", "Real Madrid and Atlético Madrid both scored zero goals in 2016 UCL final during the extra time."], "premises-FOL": ["∀x ∀y (SoccerTeam(x) ∧ SoccerTeam(y) ∧ SameScore(x, y) ∧ During(regularTime) → PlayExtra(x, y))", "∀x ∀y (SoccerTeam(x) ∧ SoccerTeam(y) ∧ SameScore(x, y) ∧ During(regularTime) ∧ During(extraTime) → PlayPenalty(x, y))", "SoccerTeam(realMadrid) ∧ SoccerTeam(atleticoMadrid) ∧ SameScore(realMadrid, atleticoMadrid) ∧ During(regularTime)", "SoccerTeam(realMadrid) ∧ SoccerTeam(atleticoMadrid) ∧ SameScore(realMadrid, atleticoMadrid) ∧ During(extraTime)"], "label": "False", "source": "wiki"}
 {"story_id": 13, "example_id": 35, "conclusion": "System 7 was formed by former members of Gong.", "premises": ["System 7 is a UK-based electronic dance music band.", "Steve Hillage and Miquette Giraudy formed System 7.", "Steve Hillage and Miquette Giraudy are former members of the band Gong.", "Electric dance music bands are bands.", "System 7 has released several club singles.", "Club singles are not singles."], "premises-FOL": ["BasedOn(system7, uk) ∧ ElectronicDanceMusicBand(system7)", "Formed(stevehillage, system7) ∧ Formed(miquettegiraudy, system7)", "FormerMemberOf(stevehillage, gong) ∧ FormerMemberOf(miquettegiraudy, gong)", "∀x (ElectronicDanceMusicBand(x) → Band(x))", "∃x (ClubSingle(x) ∧ Released(system7, x))", "∀x (ClubSingle(x) → ¬Single(x))"], "label": "True", "source": "wiki"}
@@ -609,12 +609,12 @@
 {"story_id": 13, "example_id": 37, "conclusion": "System 7 is not a band.", "premises": ["System 7 is a UK-based electronic dance music band.", "Steve Hillage and Miquette Giraudy formed System 7.", "Steve Hillage and Miquette Giraudy are former members of the band Gong.", "Electric dance music bands are bands.", "System 7 has released several club singles.", "Club singles are not singles."], "premises-FOL": ["BasedOn(system7, uk) ∧ ElectronicDanceMusicBand(system7)", "Formed(stevehillage, system7) ∧ Formed(miquettegiraudy, system7)", "FormerMemberOf(stevehillage, gong) ∧ FormerMemberOf(miquettegiraudy, gong)", "∀x (ElectronicDanceMusicBand(x) → Band(x))", "∃x (ClubSingle(x) ∧ Released(system7, x))", "∀x (ClubSingle(x) → ¬Single(x))"], "label": "False", "source": "wiki"}
 {"story_id": 189, "example_id": 545, "conclusion": "Extractive models are always faithful.", "premises": ["A summarization model is always faithful if it uses content from the input documents.", "Extractive models are a kind of summarization models.", "Extractive model can only use content from the input documents."], "premises-FOL": ["∀x (Model(x) ∧ Summarization(x) ∧ OnlyUseInputDocument(x) → Faithful(x))", "∀x (Model(x) ∧ Extractive(x) → Summarization(x))", "∀x (Model(x) ∧ Extractive(x) → OnlyUseInputDocument(x))"], "label": "True", "source": "wiki"}
 {"story_id": 189, "example_id": 546, "conclusion": "Extractive models are not always faithful.", "premises": ["A summarization model is always faithful if it uses content from the input documents.", "Extractive models are a kind of summarization models.", "Extractive model can only use content from the input documents."], "premises-FOL": ["∀x (Model(x) ∧ Summarization(x) ∧ OnlyUseInputDocument(x) → Faithful(x))", "∀x (Model(x) ∧ Extractive(x) → Summarization(x))", "∀x (Model(x) ∧ Extractive(x) → OnlyUseInputDocument(x))"], "label": "False", "source": "wiki"}
-{"story_id": 370, "example_id": 989, "conclusion": "Robin is a person who studies hard.", "premises": ["If people practice coding questions, then they are not studying to go to medical school to become a doctor.", "If people want to work in the software engineering industry, then they practice coding questions.", "If people enjoy healthcare fields and want to help people with medical issues, then they are studying to go to medical school to become a doctor.", "If people grew up with parents who worked as doctors, then they enjoy healthcare fields and want to help people with medical issues.", "If people study hard, then they grew up with parents who worked as doctors.", "If Robin neither enjoys healthcare fields and wants to help people with medical issues nor grew up with parents who worked as doctors, then Robin is either a person who studies hard or grew up with parents who worked as doctors."], "premises-FOL": ["∀x Coding(x) → ¬StudyingToBeDoctor(x)", "∀x Industry(x) → Coding(x)", "∀x Healthcare(x) → StudyingToBeDoctor(x)", "∀x ParentDoctors(x) → Healthcare(x)", "∀x Study(x) → ParentDoctors(x)", "¬(Healthcare(Robin) ∨ ParentDoctors(Robin)) → (Study(Robin) ∨ ParentDoctors(Robin)) "], "label": "Unknown", "source": "hyb"}
-{"story_id": 370, "example_id": 990, "conclusion": "Robin practices coding questions and wants to work in the software engineering industry.", "premises": ["If people practice coding questions, then they are not studying to go to medical school to become a doctor.", "If people want to work in the software engineering industry, then they practice coding questions.", "If people enjoy healthcare fields and want to help people with medical issues, then they are studying to go to medical school to become a doctor.", "If people grew up with parents who worked as doctors, then they enjoy healthcare fields and want to help people with medical issues.", "If people study hard, then they grew up with parents who worked as doctors.", "If Robin neither enjoys healthcare fields and wants to help people with medical issues nor grew up with parents who worked as doctors, then Robin is either a person who studies hard or grew up with parents who worked as doctors."], "premises-FOL": ["∀x Coding(x) → ¬StudyingToBeDoctor(x)", "∀x Industry(x) → Coding(x)", "∀x Healthcare(x) → StudyingToBeDoctor(x)", "∀x ParentDoctors(x) → Healthcare(x)", "∀x Study(x) → ParentDoctors(x)", "¬(Healthcare(Robin) ∨ ParentDoctors(Robin)) → (Study(Robin) ∨ ParentDoctors(Robin)) "], "label": "False", "source": "hyb"}
-{"story_id": 370, "example_id": 991, "conclusion": "Robin neither practices coding questions nor works to work in the software engineering industry.", "premises": ["If people practice coding questions, then they are not studying to go to medical school to become a doctor.", "If people want to work in the software engineering industry, then they practice coding questions.", "If people enjoy healthcare fields and want to help people with medical issues, then they are studying to go to medical school to become a doctor.", "If people grew up with parents who worked as doctors, then they enjoy healthcare fields and want to help people with medical issues.", "If people study hard, then they grew up with parents who worked as doctors.", "If Robin neither enjoys healthcare fields and wants to help people with medical issues nor grew up with parents who worked as doctors, then Robin is either a person who studies hard or grew up with parents who worked as doctors."], "premises-FOL": ["∀x Coding(x) → ¬StudyingToBeDoctor(x)", "∀x Industry(x) → Coding(x)", "∀x Healthcare(x) → StudyingToBeDoctor(x)", "∀x ParentDoctors(x) → Healthcare(x)", "∀x Study(x) → ParentDoctors(x)", "¬(Healthcare(Robin) ∨ ParentDoctors(Robin)) → (Study(Robin) ∨ ParentDoctors(Robin)) "], "label": "True", "source": "hyb"}
-{"story_id": 383, "example_id": 1028, "conclusion": "Jess frivolously spends a lot of money every time they go out.", "premises": ["If people go to the spa at least once a week, then they are not people who are miserly and need to save a large portion of their income.", "People are either miserly and need to save a large portion of their income, or people that frivolously spend a lot of money every time they go out.", "If people frivolously spend a lot of money every time they go out, then they value quality manufacturing and luxury items.", "If people value quality manufacturing and luxury items, then they enjoy shopping for materialistic items in their free time.", "If Jess is not miserly and needs to save a large portion of their income, then Jess does not value quality manufacturing and luxury items.", "If Jess either values quality manufacturing and luxury items or, if he does not, then he is miserly and needs to save a large portion of his income, then Jess frivolously spends a lot of money every time he goes out."], "premises-FOL": ["∀x Spa(x) → ¬Miserly(x)", "∀x Miserly(x) ∨ Frivolous(x)", "∀x Frivolous(x) → Luxury(x)", "∀x Luxury(x) → Shopping(x)", "¬Miserly(Jess) → ¬Luxury(Jess)", "Luxury(Jess) ⊕ Miserly(Jess)) →  Luxury(Jess)"], "label": "Unknown", "source": "hyb"}
-{"story_id": 383, "example_id": 1029, "conclusion": "Jess either enjoys shopping for materialistic items in his free time or, if he does not, then he goes to the spa at least once a week.", "premises": ["If people go to the spa at least once a week, then they are not people who are miserly and need to save a large portion of their income.", "People are either miserly and need to save a large portion of their income, or people that frivolously spend a lot of money every time they go out.", "If people frivolously spend a lot of money every time they go out, then they value quality manufacturing and luxury items.", "If people value quality manufacturing and luxury items, then they enjoy shopping for materialistic items in their free time.", "If Jess is not miserly and needs to save a large portion of their income, then Jess does not value quality manufacturing and luxury items.", "If Jess either values quality manufacturing and luxury items or, if he does not, then he is miserly and needs to save a large portion of his income, then Jess frivolously spends a lot of money every time he goes out."], "premises-FOL": ["∀x Spa(x) → ¬Miserly(x)", "∀x Miserly(x) ∨ Frivolous(x)", "∀x Frivolous(x) → Luxury(x)", "∀x Luxury(x) → Shopping(x)", "¬Miserly(Jess) → ¬Luxury(Jess)", "Luxury(Jess) ⊕ Miserly(Jess)) →  Luxury(Jess)"], "label": "True", "source": "hyb"}
-{"story_id": 383, "example_id": 1030, "conclusion": "If Jess either enjoys shopping for materialistic items in his free time or, if he does not, then he goes to the spa at least once a week, then Jess neither values quality manufacturing and luxury items nor goes to the spa at least once a week.", "premises": ["If people go to the spa at least once a week, then they are not people who are miserly and need to save a large portion of their income.", "People are either miserly and need to save a large portion of their income, or people that frivolously spend a lot of money every time they go out.", "If people frivolously spend a lot of money every time they go out, then they value quality manufacturing and luxury items.", "If people value quality manufacturing and luxury items, then they enjoy shopping for materialistic items in their free time.", "If Jess is not miserly and needs to save a large portion of their income, then Jess does not value quality manufacturing and luxury items.", "If Jess either values quality manufacturing and luxury items or, if he does not, then he is miserly and needs to save a large portion of his income, then Jess frivolously spends a lot of money every time he goes out."], "premises-FOL": ["∀x Spa(x) → ¬Miserly(x)", "∀x Miserly(x) ∨ Frivolous(x)", "∀x Frivolous(x) → Luxury(x)", "∀x Luxury(x) → Shopping(x)", "¬Miserly(Jess) → ¬Luxury(Jess)", "Luxury(Jess) ⊕ Miserly(Jess)) →  Luxury(Jess)"], "label": "False", "source": "hyb"}
+{"story_id": 370, "example_id": 989, "conclusion": "Robin is a person who studies hard.", "premises": ["If people practice coding questions, then they are not studying to go to medical school to become a doctor.", "If people want to work in the software engineering industry, then they practice coding questions.", "If people enjoy healthcare fields and want to help people with medical issues, then they are studying to go to medical school to become a doctor.", "If people grew up with parents who worked as doctors, then they enjoy healthcare fields and want to help people with medical issues.", "If people study hard, then they grew up with parents who worked as doctors.", "If Robin neither enjoys healthcare fields and wants to help people with medical issues nor grew up with parents who worked as doctors, then Robin is either a person who studies hard or grew up with parents who worked as doctors."], "premises-FOL": ["∀x Coding(x) → ¬StudyingToBeDoctor(x)", "∀x Industry(x) → Coding(x)", "∀x Healthcare(x) → StudyingToBeDoctor(x)", "∀x ParentDoctors(x) → Healthcare(x)", "∀x Study(x) → ParentDoctors(x)", "¬(Healthcare(robin) ∨ ParentDoctors(robin)) → (Study(robin) ∨ ParentDoctors(robin)) "], "label": "Unknown", "source": "hyb"}
+{"story_id": 370, "example_id": 990, "conclusion": "Robin practices coding questions and wants to work in the software engineering industry.", "premises": ["If people practice coding questions, then they are not studying to go to medical school to become a doctor.", "If people want to work in the software engineering industry, then they practice coding questions.", "If people enjoy healthcare fields and want to help people with medical issues, then they are studying to go to medical school to become a doctor.", "If people grew up with parents who worked as doctors, then they enjoy healthcare fields and want to help people with medical issues.", "If people study hard, then they grew up with parents who worked as doctors.", "If Robin neither enjoys healthcare fields and wants to help people with medical issues nor grew up with parents who worked as doctors, then Robin is either a person who studies hard or grew up with parents who worked as doctors."], "premises-FOL": ["∀x Coding(x) → ¬StudyingToBeDoctor(x)", "∀x Industry(x) → Coding(x)", "∀x Healthcare(x) → StudyingToBeDoctor(x)", "∀x ParentDoctors(x) → Healthcare(x)", "∀x Study(x) → ParentDoctors(x)", "¬(Healthcare(robin) ∨ ParentDoctors(robin)) → (Study(robin) ∨ ParentDoctors(robin)) "], "label": "False", "source": "hyb"}
+{"story_id": 370, "example_id": 991, "conclusion": "Robin neither practices coding questions nor works to work in the software engineering industry.", "premises": ["If people practice coding questions, then they are not studying to go to medical school to become a doctor.", "If people want to work in the software engineering industry, then they practice coding questions.", "If people enjoy healthcare fields and want to help people with medical issues, then they are studying to go to medical school to become a doctor.", "If people grew up with parents who worked as doctors, then they enjoy healthcare fields and want to help people with medical issues.", "If people study hard, then they grew up with parents who worked as doctors.", "If Robin neither enjoys healthcare fields and wants to help people with medical issues nor grew up with parents who worked as doctors, then Robin is either a person who studies hard or grew up with parents who worked as doctors."], "premises-FOL": ["∀x Coding(x) → ¬StudyingToBeDoctor(x)", "∀x Industry(x) → Coding(x)", "∀x Healthcare(x) → StudyingToBeDoctor(x)", "∀x ParentDoctors(x) → Healthcare(x)", "∀x Study(x) → ParentDoctors(x)", "¬(Healthcare(robin) ∨ ParentDoctors(robin)) → (Study(robin) ∨ ParentDoctors(robin)) "], "label": "True", "source": "hyb"}
+{"story_id": 383, "example_id": 1028, "conclusion": "Jess frivolously spends a lot of money every time they go out.", "premises": ["If people go to the spa at least once a week, then they are not people who are miserly and need to save a large portion of their income.", "People are either miserly and need to save a large portion of their income, or people that frivolously spend a lot of money every time they go out.", "If people frivolously spend a lot of money every time they go out, then they value quality manufacturing and luxury items.", "If people value quality manufacturing and luxury items, then they enjoy shopping for materialistic items in their free time.", "If Jess is not miserly and needs to save a large portion of their income, then Jess does not value quality manufacturing and luxury items.", "If Jess either values quality manufacturing and luxury items or, if he does not, then he is miserly and needs to save a large portion of his income, then Jess frivolously spends a lot of money every time he goes out."], "premises-FOL": ["∀x Spa(x) → ¬Miserly(x)", "∀x Miserly(x) ∨ Frivolous(x)", "∀x Frivolous(x) → Luxury(x)", "∀x Luxury(x) → Shopping(x)", "¬Miserly(jess) → ¬Luxury(jess)", "(Luxury(jess) ⊕ Miserly(jess)) →  Luxury(jess)"], "label": "Unknown", "source": "hyb"}
+{"story_id": 383, "example_id": 1029, "conclusion": "Jess either enjoys shopping for materialistic items in his free time or, if he does not, then he goes to the spa at least once a week.", "premises": ["If people go to the spa at least once a week, then they are not people who are miserly and need to save a large portion of their income.", "People are either miserly and need to save a large portion of their income, or people that frivolously spend a lot of money every time they go out.", "If people frivolously spend a lot of money every time they go out, then they value quality manufacturing and luxury items.", "If people value quality manufacturing and luxury items, then they enjoy shopping for materialistic items in their free time.", "If Jess is not miserly and needs to save a large portion of their income, then Jess does not value quality manufacturing and luxury items.", "If Jess either values quality manufacturing and luxury items or, if he does not, then he is miserly and needs to save a large portion of his income, then Jess frivolously spends a lot of money every time he goes out."], "premises-FOL": ["∀x Spa(x) → ¬Miserly(x)", "∀x Miserly(x) ∨ Frivolous(x)", "∀x Frivolous(x) → Luxury(x)", "∀x Luxury(x) → Shopping(x)", "¬Miserly(jess) → ¬Luxury(jess)", "(Luxury(jess) ⊕ Miserly(jess)) →  Luxury(jess)"], "label": "True", "source": "hyb"}
+{"story_id": 383, "example_id": 1030, "conclusion": "If Jess either enjoys shopping for materialistic items in his free time or, if he does not, then he goes to the spa at least once a week, then Jess neither values quality manufacturing and luxury items nor goes to the spa at least once a week.", "premises": ["If people go to the spa at least once a week, then they are not people who are miserly and need to save a large portion of their income.", "People are either miserly and need to save a large portion of their income, or people that frivolously spend a lot of money every time they go out.", "If people frivolously spend a lot of money every time they go out, then they value quality manufacturing and luxury items.", "If people value quality manufacturing and luxury items, then they enjoy shopping for materialistic items in their free time.", "If Jess is not miserly and needs to save a large portion of their income, then Jess does not value quality manufacturing and luxury items.", "If Jess either values quality manufacturing and luxury items or, if he does not, then he is miserly and needs to save a large portion of his income, then Jess frivolously spends a lot of money every time he goes out."], "premises-FOL": ["∀x Spa(x) → ¬Miserly(x)", "∀x Miserly(x) ∨ Frivolous(x)", "∀x Frivolous(x) → Luxury(x)", "∀x Luxury(x) → Shopping(x)", "¬Miserly(jess) → ¬Luxury(jess)", "(Luxury(jess) ⊕ Miserly(jess)) →  Luxury(jess)"], "label": "False", "source": "hyb"}
 {"story_id": 220, "example_id": 628, "conclusion": "The album \"Wolfgang Amadeus Phoenix\" is a certified gold album.", "premises": ["The indie pop band Phoenix has released 6 albums. ", "Phoenix's album \"Wolfgang Amadeus Phoenix\" sold over 500,000 copies. ", "A certified gold album or single is one which sold over half a million copies. ", "\"1901\" is a single from Phoenix's album \"Wolfgang Amadeus Phoenix.\"", "Over 400,000 copies of \"1901\" have been sold. "], "premises-FOL": ["AlbumsReleased(phoenix, l6)", "Album(wolfgangamadeusphoenix) ∧ IsAlbumOf(wolfgangamadeusphoenix, phoenix) ∧ SoldOver(wolfgangamadeusphoenix, l500000)", "∀x ((Album(x) ∨ Single(x)) ∧ SoldOver(x, l500000) → CertifiedGold(x))", "Single(l1901) ∧ From(l1901, wolfgangamadeusphoenix) ∧ By(l1901, phoenix)", "SoldOver(l1901, l400000)"], "label": "True", "source": "wiki"}
 {"story_id": 220, "example_id": 629, "conclusion": "The single \"1901\" is a certified gold single.", "premises": ["The indie pop band Phoenix has released 6 albums. ", "Phoenix's album \"Wolfgang Amadeus Phoenix\" sold over 500,000 copies. ", "A certified gold album or single is one which sold over half a million copies. ", "\"1901\" is a single from Phoenix's album \"Wolfgang Amadeus Phoenix.\"", "Over 400,000 copies of \"1901\" have been sold. "], "premises-FOL": ["AlbumsReleased(phoenix, l6)", "Album(wolfgangamadeusphoenix) ∧ IsAlbumOf(wolfgangamadeusphoenix, phoenix) ∧ SoldOver(wolfgangamadeusphoenix, l500000)", "∀x ((Album(x) ∨ Single(x)) ∧ SoldOver(x, l500000) → CertifiedGold(x))", "Single(l1901) ∧ From(l1901, wolfgangamadeusphoenix) ∧ By(l1901, phoenix)", "SoldOver(l1901, l400000)"], "label": "Unknown", "source": "wiki"}
 {"story_id": 5, "example_id": 11, "conclusion": "If the Hulk does not wake up, then Thor is not happy.", "premises": ["Peter Parker is a either a superhero or a civilian.", "The Hulk is a destroyer.", "The Hulk wakes up when he is angry.", "If the Hulk wakes up, then he will break a bridge.", "Thor is a god.", "Thor will break a bridge when he is happy.", "A god is not a destroyer and a destroyer is not a god.", "Peter Parker wears a uniform when he is a superhero.", "Peter Parker is not a civilian if and only if a destroyer is breaking a bridge.", "If Thor is happy, the Hulk is angry."], "premises-FOL": ["Superhero(peter) ⊕ Civilian(peter)", "Destroyer(hulk)", "Angry(hulk) → Wake(hulk)", "Wake(hulk) → BreakBridge(hulk)", "God(thor)", "Happy(thor) → BreakBridge(thor)", "∀x (God(x) ↔ ¬Destroyer(x))", "Superhero(peter) → WearUniform(peter)", "∀x (¬Civilian(peter) ↔ (Destroyer(x) ∧ BreakBridge(x)))", "Happy(thor) → Angry(hulk)"], "label": "True", "source": "wiki"}
@@ -746,23 +746,23 @@
 {"story_id": 177, "example_id": 514, "conclusion": "The National Lobster Hatchery releases animals into the wild.", "premises": ["The National Lobster Hatchery is a hatchery located in Padstow England.", "The National Lobster Hatchery is open to visitors.", "A hatchery is either for profit, or for conservation.", "If a hatchery is for conservation, it might release animals into the wild.", "The National Lobster Hatchery is not for profit."], "premises-FOL": ["Hatchery(nationallobsterhatchery) ∧ LocatedIn(nationallobsterhatchery, padstowengland)", "OpenToVisitors(nationallobsterhatchery)", "∀x (Hatchery(x) → ForConservation(x) ∨ ForProfit(x))", "∃x (Hatchery(x) ∧ ForConservation(x) ∧ ReleasesAnimalsToWild(x))", "¬ForProfit(nationallobsterhatchery)"], "label": "Unknown", "source": "wiki"}
 {"story_id": 224, "example_id": 636, "conclusion": "Rhos Aelwyd F.C. won the 2005-06 Premier Division.", "premises": ["Rhos Aelwyd F.C. is a Welsh football club.", "Rhos Aelwyd F.C. is the only club based in Ponciau. ", "The Premier Division was won in 2005–06 by a team from Ponciau. ", "The winner of the Premier Division in 2009–10 was promoted back to the Cymru Alliance.", "The Premier Division in 2009–10 was won by the same team that won in 2005-06. "], "premises-FOL": ["∀x (Rhosaelwydfc(x) → FootballClub(x) ∧ BasedInPonciau(x) ∧ Welsh(x))", "∀x (BasedInPonciau(x) ↔ Rhosaelwydfc(x))", "∃x (BasedInPonciau(x) ∧ WonPremierDivisionDuring(x, y2005))", "∀x (WonPremierDivisionDuring(x, y2009) → Promoted(x))", "∀x (WonPremierDivisionDuring(x, y2009) ↔ WonPremierDivisionDuring(x, y2005))"], "label": "True", "source": "wiki"}
 {"story_id": 224, "example_id": 637, "conclusion": "Rhos Aelwyd F.C. was promoted to the Cymru Alliance.", "premises": ["Rhos Aelwyd F.C. is a Welsh football club.", "Rhos Aelwyd F.C. is the only club based in Ponciau. ", "The Premier Division was won in 2005–06 by a team from Ponciau. ", "The winner of the Premier Division in 2009–10 was promoted back to the Cymru Alliance.", "The Premier Division in 2009–10 was won by the same team that won in 2005-06. "], "premises-FOL": ["∀x (Rhosaelwydfc(x) → FootballClub(x) ∧ BasedInPonciau(x) ∧ Welsh(x))", "∀x (BasedInPonciau(x) ↔ Rhosaelwydfc(x))", "∃x (BasedInPonciau(x) ∧ WonPremierDivisionDuring(x, y2005))", "∀x (WonPremierDivisionDuring(x, y2009) → Promoted(x))", "∀x (WonPremierDivisionDuring(x, y2009) ↔ WonPremierDivisionDuring(x, y2005))"], "label": "True", "source": "wiki"}
-{"story_id": 470, "example_id": 1362, "conclusion": "Burger is popular.", "premises": ["All OS are software.", "All Mac are OS.", "An OS is either Mac or Windows.", "All Windows are convenient.", "All software has code.", "If something is convenient, then it is popular.", "Burger is a piece of code and a Mac.", "PyTorch is either Windows and software, or neither Windows nor software."], "premises-FOL": ["∀x (OS(x) → Software(x))", "∀x (Mac(x) → OS(x))", "∀x (Mac(x) ∨ Windows(x))", "∀x (Windows(x) → Convenient(x))", "∀x (Software(x) → Code(x))", "∀x (Convenient(x) → Popular(x))", "Code(burger) ∧ Mac(burger))", "(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))"], "label": "Unknown", "source": "hyb"}
-{"story_id": 470, "example_id": 1363, "conclusion": "Burger is not popular.", "premises": ["All OS are software.", "All Mac are OS.", "An OS is either Mac or Windows.", "All Windows are convenient.", "All software has code.", "If something is convenient, then it is popular.", "Burger is a piece of code and a Mac.", "PyTorch is either Windows and software, or neither Windows nor software."], "premises-FOL": ["∀x (OS(x) → Software(x))", "∀x (Mac(x) → OS(x))", "∀x (Mac(x) ∨ Windows(x))", "∀x (Windows(x) → Convenient(x))", "∀x (Software(x) → Code(x))", "∀x (Convenient(x) → Popular(x))", "Code(burger) ∧ Mac(burger))", "(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))"], "label": "Unknown", "source": "hyb"}
-{"story_id": 470, "example_id": 1364, "conclusion": "PyTorch is popular and has code.", "premises": ["All OS are software.", "All Mac are OS.", "An OS is either Mac or Windows.", "All Windows are convenient.", "All software has code.", "If something is convenient, then it is popular.", "Burger is a piece of code and a Mac.", "PyTorch is either Windows and software, or neither Windows nor software."], "premises-FOL": ["∀x (OS(x) → Software(x))", "∀x (Mac(x) → OS(x))", "∀x (Mac(x) ∨ Windows(x))", "∀x (Windows(x) → Convenient(x))", "∀x (Software(x) → Code(x))", "∀x (Convenient(x) → Popular(x))", "Code(burger) ∧ Mac(burger))", "(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))"], "label": "True", "source": "hyb"}
-{"story_id": 470, "example_id": 1365, "conclusion": "PyTorch is not popular and has code.", "premises": ["All OS are software.", "All Mac are OS.", "An OS is either Mac or Windows.", "All Windows are convenient.", "All software has code.", "If something is convenient, then it is popular.", "Burger is a piece of code and a Mac.", "PyTorch is either Windows and software, or neither Windows nor software."], "premises-FOL": ["∀x (OS(x) → Software(x))", "∀x (Mac(x) → OS(x))", "∀x (Mac(x) ∨ Windows(x))", "∀x (Windows(x) → Convenient(x))", "∀x (Software(x) → Code(x))", "∀x (Convenient(x) → Popular(x))", "Code(burger) ∧ Mac(burger))", "(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))"], "label": "False", "source": "hyb"}
-{"story_id": 117, "example_id": 353, "conclusion": "Road one will last longer than Road two", "premises": ["Roads are made of either concrete or asphalt.", "Roads made of concrete last longer than roads made with asphalt.", "Roads made of asphalt are smoother than roads made of concrete.", "Everyone prefers the smoother of two roads. ", "Road one is made of concrete and Road two is made of asphalt."], "premises-FOL": ["∀x (Road(x) → (MadeOfConcrete(x) ∨ MadeOfAsphalt(x))", "∀x ∀y (Road(x) ∧ MadeOfConcrete(x) ∧ Road(y) ∧ MadeOfAsphalt(y) → LastLonger(x, y))", "∀x ∀y (Road(x) ∧ MadeOfAsphalt(x) ∧ Road(y) ∧ MadeOfConcrete(y) → Smoother(x, y))", "∀x ∀y ∀z (Road(x) ∧ Road(y) ∧ Smoother(x, y) → Prefers(z, x))", "Road(one) ∧ MadeOfConcrete(one) ∧ Road(two) ∧ MadeOfAsphalt(two)"], "label": "True", "source": "wiki"}
-{"story_id": 117, "example_id": 354, "conclusion": "Road two is not smoother than Road one.", "premises": ["Roads are made of either concrete or asphalt.", "Roads made of concrete last longer than roads made with asphalt.", "Roads made of asphalt are smoother than roads made of concrete.", "Everyone prefers the smoother of two roads. ", "Road one is made of concrete and Road two is made of asphalt."], "premises-FOL": ["∀x (Road(x) → (MadeOfConcrete(x) ∨ MadeOfAsphalt(x))", "∀x ∀y (Road(x) ∧ MadeOfConcrete(x) ∧ Road(y) ∧ MadeOfAsphalt(y) → LastLonger(x, y))", "∀x ∀y (Road(x) ∧ MadeOfAsphalt(x) ∧ Road(y) ∧ MadeOfConcrete(y) → Smoother(x, y))", "∀x ∀y ∀z (Road(x) ∧ Road(y) ∧ Smoother(x, y) → Prefers(z, x))", "Road(one) ∧ MadeOfConcrete(one) ∧ Road(two) ∧ MadeOfAsphalt(two)"], "label": "False", "source": "wiki"}
-{"story_id": 117, "example_id": 355, "conclusion": "John prefers Road two.", "premises": ["Roads are made of either concrete or asphalt.", "Roads made of concrete last longer than roads made with asphalt.", "Roads made of asphalt are smoother than roads made of concrete.", "Everyone prefers the smoother of two roads. ", "Road one is made of concrete and Road two is made of asphalt."], "premises-FOL": ["∀x (Road(x) → (MadeOfConcrete(x) ∨ MadeOfAsphalt(x))", "∀x ∀y (Road(x) ∧ MadeOfConcrete(x) ∧ Road(y) ∧ MadeOfAsphalt(y) → LastLonger(x, y))", "∀x ∀y (Road(x) ∧ MadeOfAsphalt(x) ∧ Road(y) ∧ MadeOfConcrete(y) → Smoother(x, y))", "∀x ∀y ∀z (Road(x) ∧ Road(y) ∧ Smoother(x, y) → Prefers(z, x))", "Road(one) ∧ MadeOfConcrete(one) ∧ Road(two) ∧ MadeOfAsphalt(two)"], "label": "True", "source": "wiki"}
+{"story_id": 470, "example_id": 1362, "conclusion": "Burger is popular.", "premises": ["All OS are software.", "All Mac are OS.", "An OS is either Mac or Windows.", "All Windows are convenient.", "All software has code.", "If something is convenient, then it is popular.", "Burger is a piece of code and a Mac.", "PyTorch is either Windows and software, or neither Windows nor software."], "premises-FOL": ["∀x (OS(x) → Software(x))", "∀x (Mac(x) → OS(x))", "∀x (Mac(x) ∨ Windows(x))", "∀x (Windows(x) → Convenient(x))", "∀x (Software(x) → Code(x))", "∀x (Convenient(x) → Popular(x))", "Code(burger) ∧ Mac(burger)", "(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))"], "label": "Unknown", "source": "hyb"}
+{"story_id": 470, "example_id": 1363, "conclusion": "Burger is not popular.", "premises": ["All OS are software.", "All Mac are OS.", "An OS is either Mac or Windows.", "All Windows are convenient.", "All software has code.", "If something is convenient, then it is popular.", "Burger is a piece of code and a Mac.", "PyTorch is either Windows and software, or neither Windows nor software."], "premises-FOL": ["∀x (OS(x) → Software(x))", "∀x (Mac(x) → OS(x))", "∀x (Mac(x) ∨ Windows(x))", "∀x (Windows(x) → Convenient(x))", "∀x (Software(x) → Code(x))", "∀x (Convenient(x) → Popular(x))", "Code(burger) ∧ Mac(burger)", "(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))"], "label": "Unknown", "source": "hyb"}
+{"story_id": 470, "example_id": 1364, "conclusion": "PyTorch is popular and has code.", "premises": ["All OS are software.", "All Mac are OS.", "An OS is either Mac or Windows.", "All Windows are convenient.", "All software has code.", "If something is convenient, then it is popular.", "Burger is a piece of code and a Mac.", "PyTorch is either Windows and software, or neither Windows nor software."], "premises-FOL": ["∀x (OS(x) → Software(x))", "∀x (Mac(x) → OS(x))", "∀x (Mac(x) ∨ Windows(x))", "∀x (Windows(x) → Convenient(x))", "∀x (Software(x) → Code(x))", "∀x (Convenient(x) → Popular(x))", "Code(burger) ∧ Mac(burger)", "(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))"], "label": "True", "source": "hyb"}
+{"story_id": 470, "example_id": 1365, "conclusion": "PyTorch is not popular and has code.", "premises": ["All OS are software.", "All Mac are OS.", "An OS is either Mac or Windows.", "All Windows are convenient.", "All software has code.", "If something is convenient, then it is popular.", "Burger is a piece of code and a Mac.", "PyTorch is either Windows and software, or neither Windows nor software."], "premises-FOL": ["∀x (OS(x) → Software(x))", "∀x (Mac(x) → OS(x))", "∀x (Mac(x) ∨ Windows(x))", "∀x (Windows(x) → Convenient(x))", "∀x (Software(x) → Code(x))", "∀x (Convenient(x) → Popular(x))", "Code(burger) ∧ Mac(burger)", "(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))"], "label": "False", "source": "hyb"}
+{"story_id": 117, "example_id": 353, "conclusion": "Road one will last longer than Road two", "premises": ["Roads are made of either concrete or asphalt.", "Roads made of concrete last longer than roads made with asphalt.", "Roads made of asphalt are smoother than roads made of concrete.", "Everyone prefers the smoother of two roads. ", "Road one is made of concrete and Road two is made of asphalt."], "premises-FOL": ["∀x (Road(x) → (MadeOfConcrete(x) ∨ MadeOfAsphalt(x)))", "∀x ∀y (Road(x) ∧ MadeOfConcrete(x) ∧ Road(y) ∧ MadeOfAsphalt(y) → LastLonger(x, y))", "∀x ∀y (Road(x) ∧ MadeOfAsphalt(x) ∧ Road(y) ∧ MadeOfConcrete(y) → Smoother(x, y))", "∀x ∀y ∀z (Road(x) ∧ Road(y) ∧ Smoother(x, y) → Prefers(z, x))", "Road(one) ∧ MadeOfConcrete(one) ∧ Road(two) ∧ MadeOfAsphalt(two)"], "label": "True", "source": "wiki"}
+{"story_id": 117, "example_id": 354, "conclusion": "Road two is not smoother than Road one.", "premises": ["Roads are made of either concrete or asphalt.", "Roads made of concrete last longer than roads made with asphalt.", "Roads made of asphalt are smoother than roads made of concrete.", "Everyone prefers the smoother of two roads. ", "Road one is made of concrete and Road two is made of asphalt."], "premises-FOL": ["∀x (Road(x) → (MadeOfConcrete(x) ∨ MadeOfAsphalt(x)))", "∀x ∀y (Road(x) ∧ MadeOfConcrete(x) ∧ Road(y) ∧ MadeOfAsphalt(y) → LastLonger(x, y))", "∀x ∀y (Road(x) ∧ MadeOfAsphalt(x) ∧ Road(y) ∧ MadeOfConcrete(y) → Smoother(x, y))", "∀x ∀y ∀z (Road(x) ∧ Road(y) ∧ Smoother(x, y) → Prefers(z, x))", "Road(one) ∧ MadeOfConcrete(one) ∧ Road(two) ∧ MadeOfAsphalt(two)"], "label": "False", "source": "wiki"}
+{"story_id": 117, "example_id": 355, "conclusion": "John prefers Road two.", "premises": ["Roads are made of either concrete or asphalt.", "Roads made of concrete last longer than roads made with asphalt.", "Roads made of asphalt are smoother than roads made of concrete.", "Everyone prefers the smoother of two roads. ", "Road one is made of concrete and Road two is made of asphalt."], "premises-FOL": ["∀x (Road(x) → (MadeOfConcrete(x) ∨ MadeOfAsphalt(x)))", "∀x ∀y (Road(x) ∧ MadeOfConcrete(x) ∧ Road(y) ∧ MadeOfAsphalt(y) → LastLonger(x, y))", "∀x ∀y (Road(x) ∧ MadeOfAsphalt(x) ∧ Road(y) ∧ MadeOfConcrete(y) → Smoother(x, y))", "∀x ∀y ∀z (Road(x) ∧ Road(y) ∧ Smoother(x, y) → Prefers(z, x))", "Road(one) ∧ MadeOfConcrete(one) ∧ Road(two) ∧ MadeOfAsphalt(two)"], "label": "True", "source": "wiki"}
 {"story_id": 74, "example_id": 226, "conclusion": "One of Ontario's oldest summer camps is a traditional summer camp for boys and girls.", "premises": ["Camp Davern is a traditional summer camp for boys and girls.", "Camp Davern was established in the year 1946.", "Camp Davern was operated by the YMCA until the year 2015.", "Camp Davern is one of Ontario's oldest summer camps."], "premises-FOL": ["TraditionalSummerCamp(campdavern) ∧ ForBoysAndGirls(campdavern)", "EstablishedIn(campdavern, year1946)", "OperatedByYMCAUntil(campdavern, year2015)", "OneOf(campdavern, ontariosoldestsummercamps)"], "label": "True", "source": "wiki"}
 {"story_id": 74, "example_id": 227, "conclusion": "A traditional summer camp for boys and girls was operated by the YMCA until the year 2015.", "premises": ["Camp Davern is a traditional summer camp for boys and girls.", "Camp Davern was established in the year 1946.", "Camp Davern was operated by the YMCA until the year 2015.", "Camp Davern is one of Ontario's oldest summer camps."], "premises-FOL": ["TraditionalSummerCamp(campdavern) ∧ ForBoysAndGirls(campdavern)", "EstablishedIn(campdavern, year1946)", "OperatedByYMCAUntil(campdavern, year2015)", "OneOf(campdavern, ontariosoldestsummercamps)"], "label": "True", "source": "wiki"}
 {"story_id": 74, "example_id": 228, "conclusion": "Camp Davern was established in 1989.", "premises": ["Camp Davern is a traditional summer camp for boys and girls.", "Camp Davern was established in the year 1946.", "Camp Davern was operated by the YMCA until the year 2015.", "Camp Davern is one of Ontario's oldest summer camps."], "premises-FOL": ["TraditionalSummerCamp(campdavern) ∧ ForBoysAndGirls(campdavern)", "EstablishedIn(campdavern, year1946)", "OperatedByYMCAUntil(campdavern, year2015)", "OneOf(campdavern, ontariosoldestsummercamps)"], "label": "Unknown", "source": "wiki"}
 {"story_id": 372, "example_id": 995, "conclusion": "Emily often holds tenured and high-ranking positions at her workplace.", "premises": ["If people publish journals, then they do not work in the entertainment industry.", "All people who are award-winning novelists publish journals.", "People either work in the entertainment industry or are highly acclaimed in their profession.", "If people are highly acclaimed in their profession, then they often hold tenured and high-ranking positions at their workplace.", "If people are highly acclaimed in their profession, then they often receive glowing feedback and recommendations from their colleagues.", "If Emily is either both highly acclaimed in her profession and often holds tenured and high-ranking positions at her workplace, or she is neither highly acclaimed in her profession nor often holds tenured and high-ranking positions at her workplace, then Emily is not highly acclaimed in her profession. "], "premises-FOL": ["∀x (PublishJournals(x) → ¬Entertainment(x))", "∀x (Novelist(x) → PublishJournals(x))", "∀x (Entertainment(x) ∨ Acclaimed(x))", "∀x (Acclaimed(x) → Tenured(x))", "∀x (Acclaimed(x) → Glowing(x))", "(Acclaimed(emily) ∧ Tenured(emily)) ∨ (¬Acclaimed(emily) ∧ ¬Tenured(emily)) → ¬Acclaimed(emily)"], "label": "Unknown", "source": "hyb"}
 {"story_id": 372, "example_id": 996, "conclusion": "Emily often receives glowing feedback and recommendations from their colleagues and is an award-winning novelist.", "premises": ["If people publish journals, then they do not work in the entertainment industry.", "All people who are award-winning novelists publish journals.", "People either work in the entertainment industry or are highly acclaimed in their profession.", "If people are highly acclaimed in their profession, then they often hold tenured and high-ranking positions at their workplace.", "If people are highly acclaimed in their profession, then they often receive glowing feedback and recommendations from their colleagues.", "If Emily is either both highly acclaimed in her profession and often holds tenured and high-ranking positions at her workplace, or she is neither highly acclaimed in her profession nor often holds tenured and high-ranking positions at her workplace, then Emily is not highly acclaimed in her profession. "], "premises-FOL": ["∀x (PublishJournals(x) → ¬Entertainment(x))", "∀x (Novelist(x) → PublishJournals(x))", "∀x (Entertainment(x) ∨ Acclaimed(x))", "∀x (Acclaimed(x) → Tenured(x))", "∀x (Acclaimed(x) → Glowing(x))", "(Acclaimed(emily) ∧ Tenured(emily)) ∨ (¬Acclaimed(emily) ∧ ¬Tenured(emily)) → ¬Acclaimed(emily)"], "label": "False", "source": "hyb"}
 {"story_id": 372, "example_id": 997, "conclusion": "If Emily either often receives glowing feedback and recommendations from her colleagues or is an award-winning novelist, then Emily does not both publish journals and is an award-winning novelist.", "premises": ["If people publish journals, then they do not work in the entertainment industry.", "All people who are award-winning novelists publish journals.", "People either work in the entertainment industry or are highly acclaimed in their profession.", "If people are highly acclaimed in their profession, then they often hold tenured and high-ranking positions at their workplace.", "If people are highly acclaimed in their profession, then they often receive glowing feedback and recommendations from their colleagues.", "If Emily is either both highly acclaimed in her profession and often holds tenured and high-ranking positions at her workplace, or she is neither highly acclaimed in her profession nor often holds tenured and high-ranking positions at her workplace, then Emily is not highly acclaimed in her profession. "], "premises-FOL": ["∀x (PublishJournals(x) → ¬Entertainment(x))", "∀x (Novelist(x) → PublishJournals(x))", "∀x (Entertainment(x) ∨ Acclaimed(x))", "∀x (Acclaimed(x) → Tenured(x))", "∀x (Acclaimed(x) → Glowing(x))", "(Acclaimed(emily) ∧ Tenured(emily)) ∨ (¬Acclaimed(emily) ∧ ¬Tenured(emily)) → ¬Acclaimed(emily)"], "label": "True", "source": "hyb"}
-{"story_id": 10, "example_id": 25, "conclusion": "Megan Whalen Turner worked with Greenwillow Books.", "premises": ["Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.", "Thick as Thieves was published by Greenwillow Books.", "If a book was published by a company, than the author of that book worked with the company that published the book.", "The fictional Mede Empire is where Thick as Thieves is set.", "The Mede Empire plots to swallow up some nearby countries.", "Attolia and Sounis are countries near the Mede Empire.", "Thick as Thieves was sold both as a hardcover and an e-book."], "premises-FOL": ["YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)", "PublishedBy(thickastheives, greenwillowbooks)", "∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))", "Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)", "∃x (Country(x) Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))", "Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)", "SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)"], "label": "True", "source": "wiki"}
-{"story_id": 10, "example_id": 26, "conclusion": "The Mede Empire plans to swallow up Attolia.", "premises": ["Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.", "Thick as Thieves was published by Greenwillow Books.", "If a book was published by a company, than the author of that book worked with the company that published the book.", "The fictional Mede Empire is where Thick as Thieves is set.", "The Mede Empire plots to swallow up some nearby countries.", "Attolia and Sounis are countries near the Mede Empire.", "Thick as Thieves was sold both as a hardcover and an e-book."], "premises-FOL": ["YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)", "PublishedBy(thickastheives, greenwillowbooks)", "∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))", "Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)", "∃x (Country(x) Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))", "Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)", "SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)"], "label": "Unknown", "source": "wiki"}
-{"story_id": 10, "example_id": 27, "conclusion": "Thick as Thieves is not set in the mede empire.", "premises": ["Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.", "Thick as Thieves was published by Greenwillow Books.", "If a book was published by a company, than the author of that book worked with the company that published the book.", "The fictional Mede Empire is where Thick as Thieves is set.", "The Mede Empire plots to swallow up some nearby countries.", "Attolia and Sounis are countries near the Mede Empire.", "Thick as Thieves was sold both as a hardcover and an e-book."], "premises-FOL": ["YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)", "PublishedBy(thickastheives, greenwillowbooks)", "∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))", "Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)", "∃x (Country(x) Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))", "Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)", "SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)"], "label": "False", "source": "wiki"}
-{"story_id": 10, "example_id": 28, "conclusion": "Megan Whalen Turner did not work with Greenwillow Books.", "premises": ["Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.", "Thick as Thieves was published by Greenwillow Books.", "If a book was published by a company, than the author of that book worked with the company that published the book.", "The fictional Mede Empire is where Thick as Thieves is set.", "The Mede Empire plots to swallow up some nearby countries.", "Attolia and Sounis are countries near the Mede Empire.", "Thick as Thieves was sold both as a hardcover and an e-book."], "premises-FOL": ["YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)", "PublishedBy(thickastheives, greenwillowbooks)", "∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))", "Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)", "∃x (Country(x) Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))", "Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)", "SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)"], "label": "False", "source": "wiki"}
+{"story_id": 10, "example_id": 25, "conclusion": "Megan Whalen Turner worked with Greenwillow Books.", "premises": ["Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.", "Thick as Thieves was published by Greenwillow Books.", "If a book was published by a company, than the author of that book worked with the company that published the book.", "The fictional Mede Empire is where Thick as Thieves is set.", "The Mede Empire plots to swallow up some nearby countries.", "Attolia and Sounis are countries near the Mede Empire.", "Thick as Thieves was sold both as a hardcover and an e-book."], "premises-FOL": ["YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)", "PublishedBy(thickastheives, greenwillowbooks)", "∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))", "Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)", "∃x (Country(x) ∧ Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))", "Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)", "SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)"], "label": "True", "source": "wiki"}
+{"story_id": 10, "example_id": 26, "conclusion": "The Mede Empire plans to swallow up Attolia.", "premises": ["Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.", "Thick as Thieves was published by Greenwillow Books.", "If a book was published by a company, than the author of that book worked with the company that published the book.", "The fictional Mede Empire is where Thick as Thieves is set.", "The Mede Empire plots to swallow up some nearby countries.", "Attolia and Sounis are countries near the Mede Empire.", "Thick as Thieves was sold both as a hardcover and an e-book."], "premises-FOL": ["YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)", "PublishedBy(thickastheives, greenwillowbooks)", "∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))", "Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)", "∃x (Country(x) ∧ Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))", "Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)", "SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)"], "label": "Unknown", "source": "wiki"}
+{"story_id": 10, "example_id": 27, "conclusion": "Thick as Thieves is not set in the mede empire.", "premises": ["Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.", "Thick as Thieves was published by Greenwillow Books.", "If a book was published by a company, than the author of that book worked with the company that published the book.", "The fictional Mede Empire is where Thick as Thieves is set.", "The Mede Empire plots to swallow up some nearby countries.", "Attolia and Sounis are countries near the Mede Empire.", "Thick as Thieves was sold both as a hardcover and an e-book."], "premises-FOL": ["YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)", "PublishedBy(thickastheives, greenwillowbooks)", "∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))", "Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)", "∃x (Country(x) ∧ Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))", "Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)", "SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)"], "label": "False", "source": "wiki"}
+{"story_id": 10, "example_id": 28, "conclusion": "Megan Whalen Turner did not work with Greenwillow Books.", "premises": ["Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.", "Thick as Thieves was published by Greenwillow Books.", "If a book was published by a company, than the author of that book worked with the company that published the book.", "The fictional Mede Empire is where Thick as Thieves is set.", "The Mede Empire plots to swallow up some nearby countries.", "Attolia and Sounis are countries near the Mede Empire.", "Thick as Thieves was sold both as a hardcover and an e-book."], "premises-FOL": ["YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)", "PublishedBy(thickastheives, greenwillowbooks)", "∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))", "Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)", "∃x (Country(x) ∧ Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))", "Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)", "SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)"], "label": "False", "source": "wiki"}
 {"story_id": 116, "example_id": 351, "conclusion": "There is a tablet computer that was announced by a German.", "premises": ["WeTab is a MeeGo-based tablet computer.", "There is a WeTab product.", "WeTab was announced by Neofonie.", "Neofonie is a German producer.", "Germans speak English or German."], "premises-FOL": ["∀x (WeTab(x) → MeeGoBased(x) ∧ TabletComputer(x))", "∃x (WeTab(x))", "∀x (WeTab(x) → Announce(neofonie, x))", "German(neofonie) ∧ Producer(neofonie)", "∀x (German(x) → Speak(x, english) ∨ Speak(x, german))"], "label": "True", "source": "wiki"}
 {"story_id": 116, "example_id": 352, "conclusion": "Neofonie doesn't speak English or German.", "premises": ["WeTab is a MeeGo-based tablet computer.", "There is a WeTab product.", "WeTab was announced by Neofonie.", "Neofonie is a German producer.", "Germans speak English or German."], "premises-FOL": ["∀x (WeTab(x) → MeeGoBased(x) ∧ TabletComputer(x))", "∃x (WeTab(x))", "∀x (WeTab(x) → Announce(neofonie, x))", "German(neofonie) ∧ Producer(neofonie)", "∀x (German(x) → Speak(x, english) ∨ Speak(x, german))"], "label": "False", "source": "wiki"}
 {"story_id": 419, "example_id": 1186, "conclusion": "James is good at math.", "premises": ["Some employees working in business analysis are good at math. ", "All employees working in business analysis are working in this company. ", "No employees working in this company are from China. ", "All employees working in software engineering are from China. ", "James is working in software engineering. "], "premises-FOL": ["∃x ( BusinessAnalysis(x) ∧ GoodAtMath(x))", "∀x (BusinessAnalysis(x) → WorkInCompany(x))", "∀x (WorkInCompany(x) → ¬FromChina(x))", "∀x (SoftwareEngineering(x) → FromChina(x))", "SoftwareEngineering(james)"], "label": "Unknown", "source": "hyb"}
@@ -813,10 +813,10 @@
 {"story_id": 31, "example_id": 90, "conclusion": "Thomas Gilovich proposed naive cynicism.", "premises": ["Naive cynicism was proposed by Justin Kruger and a colleague.", "Thomas Gilovich is a colleague of Justin Kruger. ", "Naive cynicism is a philosophy of mind."], "premises-FOL": ["Proposed(justinKruger, naiveCynicism) ∧ Proposed(colleagueOfJustinKruger, naiveCynicism) ", "Colleague(thomasGilovich, justinKruger)", "PhilosophyOfMind(naiveCynicism)"], "label": "Unknown", "source": "wiki"}
 {"story_id": 31, "example_id": 91, "conclusion": "Justin Kruger propose a philosophy of mind.", "premises": ["Naive cynicism was proposed by Justin Kruger and a colleague.", "Thomas Gilovich is a colleague of Justin Kruger. ", "Naive cynicism is a philosophy of mind."], "premises-FOL": ["Proposed(justinKruger, naiveCynicism) ∧ Proposed(colleagueOfJustinKruger, naiveCynicism) ", "Colleague(thomasGilovich, justinKruger)", "PhilosophyOfMind(naiveCynicism)"], "label": "True", "source": "wiki"}
 {"story_id": 31, "example_id": 92, "conclusion": "Thomas Gilovich worked on philiophies of mind.", "premises": ["Naive cynicism was proposed by Justin Kruger and a colleague.", "Thomas Gilovich is a colleague of Justin Kruger. ", "Naive cynicism is a philosophy of mind."], "premises-FOL": ["Proposed(justinKruger, naiveCynicism) ∧ Proposed(colleagueOfJustinKruger, naiveCynicism) ", "Colleague(thomasGilovich, justinKruger)", "PhilosophyOfMind(naiveCynicism)"], "label": "Unknown", "source": "wiki"}
-{"story_id": 129, "example_id": 383, "conclusion": "At least two people who have won the Turing Award worked in the field of artificial intelligence.", "premises": ["", "The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ", "Donald Knuth made major contributions to the analysis of algorithms.", "Marvin Minsky is recognized by his contributions to the field of artificial intelligence.", "Richard Hamming did research on numerical methods.", "John McCarthy had a central role in creating and shaping the field of artificial inteligence. "], "premises-FOL": ["", "TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)", "ContributedTo(donaldKnuth, algorithms)", "ContributedTo(marvinMinsky, ai)", "ContributedTo(richardHamming, numericalMethods)", "ContributedTo(johnMccarthy, ai)"], "label": "True", "source": "wiki"}
-{"story_id": 129, "example_id": 384, "conclusion": "At least two people who worked in the field of artificial intelligence have won the Turing Award.", "premises": ["", "The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ", "Donald Knuth made major contributions to the analysis of algorithms.", "Marvin Minsky is recognized by his contributions to the field of artificial intelligence.", "Richard Hamming did research on numerical methods.", "John McCarthy had a central role in creating and shaping the field of artificial inteligence. "], "premises-FOL": ["", "TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)", "ContributedTo(donaldKnuth, algorithms)", "ContributedTo(marvinMinsky, ai)", "ContributedTo(richardHamming, numericalMethods)", "ContributedTo(johnMccarthy, ai)"], "label": "True", "source": "wiki"}
-{"story_id": 129, "example_id": 385, "conclusion": "Only one people who have won the Turing Award made significant contributions to the analysis of algorithms.", "premises": ["", "The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ", "Donald Knuth made major contributions to the analysis of algorithms.", "Marvin Minsky is recognized by his contributions to the field of artificial intelligence.", "Richard Hamming did research on numerical methods.", "John McCarthy had a central role in creating and shaping the field of artificial inteligence. "], "premises-FOL": ["", "TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)", "ContributedTo(donaldKnuth, algorithms)", "ContributedTo(marvinMinsky, ai)", "ContributedTo(richardHamming, numericalMethods)", "ContributedTo(johnMccarthy, ai)"], "label": "Unknown", "source": "wiki"}
-{"story_id": 129, "example_id": 386, "conclusion": "No Turing Award winners worked in the field of numerical methods.", "premises": ["", "The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ", "Donald Knuth made major contributions to the analysis of algorithms.", "Marvin Minsky is recognized by his contributions to the field of artificial intelligence.", "Richard Hamming did research on numerical methods.", "John McCarthy had a central role in creating and shaping the field of artificial inteligence. "], "premises-FOL": ["", "TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)", "ContributedTo(donaldKnuth, algorithms)", "ContributedTo(marvinMinsky, ai)", "ContributedTo(richardHamming, numericalMethods)", "ContributedTo(johnMccarthy, ai)"], "label": "False", "source": "wiki"}
+{"story_id": 129, "example_id": 383, "conclusion": "At least two people who have won the Turing Award worked in the field of artificial intelligence.", "premises": ["The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ", "Donald Knuth made major contributions to the analysis of algorithms.", "Marvin Minsky is recognized by his contributions to the field of artificial intelligence.", "Richard Hamming did research on numerical methods.", "John McCarthy had a central role in creating and shaping the field of artificial inteligence. "], "premises-FOL": ["TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)", "ContributedTo(donaldKnuth, algorithms)", "ContributedTo(marvinMinsky, ai)", "ContributedTo(richardHamming, numericalMethods)", "ContributedTo(johnMccarthy, ai)"], "label": "True", "source": "wiki"}
+{"story_id": 129, "example_id": 384, "conclusion": "At least two people who worked in the field of artificial intelligence have won the Turing Award.", "premises": ["The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ", "Donald Knuth made major contributions to the analysis of algorithms.", "Marvin Minsky is recognized by his contributions to the field of artificial intelligence.", "Richard Hamming did research on numerical methods.", "John McCarthy had a central role in creating and shaping the field of artificial inteligence. "], "premises-FOL": ["TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)", "ContributedTo(donaldKnuth, algorithms)", "ContributedTo(marvinMinsky, ai)", "ContributedTo(richardHamming, numericalMethods)", "ContributedTo(johnMccarthy, ai)"], "label": "True", "source": "wiki"}
+{"story_id": 129, "example_id": 385, "conclusion": "Only one people who have won the Turing Award made significant contributions to the analysis of algorithms.", "premises": ["The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ", "Donald Knuth made major contributions to the analysis of algorithms.", "Marvin Minsky is recognized by his contributions to the field of artificial intelligence.", "Richard Hamming did research on numerical methods.", "John McCarthy had a central role in creating and shaping the field of artificial inteligence. "], "premises-FOL": ["TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)", "ContributedTo(donaldKnuth, algorithms)", "ContributedTo(marvinMinsky, ai)", "ContributedTo(richardHamming, numericalMethods)", "ContributedTo(johnMccarthy, ai)"], "label": "Unknown", "source": "wiki"}
+{"story_id": 129, "example_id": 386, "conclusion": "No Turing Award winners worked in the field of numerical methods.", "premises": ["The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ", "Donald Knuth made major contributions to the analysis of algorithms.", "Marvin Minsky is recognized by his contributions to the field of artificial intelligence.", "Richard Hamming did research on numerical methods.", "John McCarthy had a central role in creating and shaping the field of artificial inteligence. "], "premises-FOL": ["TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)", "ContributedTo(donaldKnuth, algorithms)", "ContributedTo(marvinMinsky, ai)", "ContributedTo(richardHamming, numericalMethods)", "ContributedTo(johnMccarthy, ai)"], "label": "False", "source": "wiki"}
 {"story_id": 429, "example_id": 1224, "conclusion": "2Sum is an easy Leetcode problem.", "premises": ["No easy Leetcode problems have an AC rate lower than 20 percent. ", "All Leetcode problems recommended to novices are easy.                                                                                                       ", "Leetcode problems either have an AC rate lower than 20 percent or are starred by more than 1 thousand users. ", "All hard Leetcode problems are starred by more than 1 thousand users. ", "No Leetcode problems published after 2022 are starred by more than 1 thousand users. ", "2Sum is not recommended to novices and hard. ", "4Sum is either starred by more than 1 thousand users and published after 2022, or neither starred by more than 1 thousand users nor published after 2022. "], "premises-FOL": ["∀x (Easy(x) → ¬LowerAC(x))", "∀x (Recommended(x) → Easy(x))", "∀x (LowerAC(x) ⊕ Starred(x))", "∀x (Hard(x) → Starred(x))", "∀x (PublishedAfter2022(x) → ¬Starred(x))", "¬(Recommended(twosum) ∧ Hard(twosum))", "¬(Starred(foursum) ⊕ PublishedAfter2022(foursum))"], "label": "Unknown", "source": "hyb"}
 {"story_id": 429, "example_id": 1225, "conclusion": "2Sum is not an easy Leetcode problem.", "premises": ["No easy Leetcode problems have an AC rate lower than 20 percent. ", "All Leetcode problems recommended to novices are easy.                                                                                                       ", "Leetcode problems either have an AC rate lower than 20 percent or are starred by more than 1 thousand users. ", "All hard Leetcode problems are starred by more than 1 thousand users. ", "No Leetcode problems published after 2022 are starred by more than 1 thousand users. ", "2Sum is not recommended to novices and hard. ", "4Sum is either starred by more than 1 thousand users and published after 2022, or neither starred by more than 1 thousand users nor published after 2022. "], "premises-FOL": ["∀x (Easy(x) → ¬LowerAC(x))", "∀x (Recommended(x) → Easy(x))", "∀x (LowerAC(x) ⊕ Starred(x))", "∀x (Hard(x) → Starred(x))", "∀x (PublishedAfter2022(x) → ¬Starred(x))", "¬(Recommended(twosum) ∧ Hard(twosum))", "¬(Starred(foursum) ⊕ PublishedAfter2022(foursum))"], "label": "Unknown", "source": "hyb"}
 {"story_id": 429, "example_id": 1226, "conclusion": "4Sum is a Leetcode problem recommended to the novice or is hard.", "premises": ["No easy Leetcode problems have an AC rate lower than 20 percent. ", "All Leetcode problems recommended to novices are easy.                                                                                                       ", "Leetcode problems either have an AC rate lower than 20 percent or are starred by more than 1 thousand users. ", "All hard Leetcode problems are starred by more than 1 thousand users. ", "No Leetcode problems published after 2022 are starred by more than 1 thousand users. ", "2Sum is not recommended to novices and hard. ", "4Sum is either starred by more than 1 thousand users and published after 2022, or neither starred by more than 1 thousand users nor published after 2022. "], "premises-FOL": ["∀x (Easy(x) → ¬LowerAC(x))", "∀x (Recommended(x) → Easy(x))", "∀x (LowerAC(x) ⊕ Starred(x))", "∀x (Hard(x) → Starred(x))", "∀x (PublishedAfter2022(x) → ¬Starred(x))", "¬(Recommended(twosum) ∧ Hard(twosum))", "¬(Starred(foursum) ⊕ PublishedAfter2022(foursum))"], "label": "False", "source": "hyb"}
@@ -887,7 +887,7 @@
 {"story_id": 16, "example_id": 45, "conclusion": "Dagfinn is Dagfinn Aarskog's given name.", "premises": ["Dagfinn is a given name.", "Notable people with the given name include Dagfinn Aarskog, Dagfinn Bakke and Dagfinn Dahl. ", "Dagfinn Aarskog is a Norwegian physician.", "Dagfinn Dahl is a Norwegian barrister."], "premises-FOL": ["∀x (Dagfinn(x) → GivenName(x))", "Dagfinn(dagfinnAarskog) ∧ NotablePeople(dagfinnAarskog) ∧ Dagfinn(dagfinnBakke) ∧ NotablePeople(dagfinnBakke) ∧ Dagfinn(dagfinnDahl) ∧ NotablePeople(dagfinnDahl)", "Norwegian(dagfinnAarskog) ∧ Physician(dagfinnAarskog)", "Norwegian(dagfinnDahl) ∧ Barrister(dagfinnDahl)"], "label": "True", "source": "wiki"}
 {"story_id": 16, "example_id": 46, "conclusion": "Dagfinn Dahl is a Norwegian physician.", "premises": ["Dagfinn is a given name.", "Notable people with the given name include Dagfinn Aarskog, Dagfinn Bakke and Dagfinn Dahl. ", "Dagfinn Aarskog is a Norwegian physician.", "Dagfinn Dahl is a Norwegian barrister."], "premises-FOL": ["∀x (Dagfinn(x) → GivenName(x))", "Dagfinn(dagfinnAarskog) ∧ NotablePeople(dagfinnAarskog) ∧ Dagfinn(dagfinnBakke) ∧ NotablePeople(dagfinnBakke) ∧ Dagfinn(dagfinnDahl) ∧ NotablePeople(dagfinnDahl)", "Norwegian(dagfinnAarskog) ∧ Physician(dagfinnAarskog)", "Norwegian(dagfinnDahl) ∧ Barrister(dagfinnDahl)"], "label": "Unknown", "source": "wiki"}
 {"story_id": 300, "example_id": 749, "conclusion": "If entertainment is interesting, it will be well-known.", "premises": ["If entertainment is interesting, it will be popular.", "All popular things are well-known."], "premises-FOL": ["∀x ((Entertainment(x) ∧ Interesting(x)) → Popular(x))", "∀x (Popular(x) → WellKnown(x))"], "label": "True", "source": "wiki"}
-{"story_id": 240, "example_id": 687, "conclusion": "GPT-3 is popular.", "premises": ["It is not true that some giant language models do not have good performance. ", "All language models with good performance are used by some researchers.", "If a language model is used by some researchers, it is popular. ", "If BERT is a giant language model, then GPT-3 is also a giant language model. ", "BERT is a giant language model. "], "premises-FOL": ["¬(∃x (LanguageModel(x) ∧ Giant(x) ∧ ¬GoodPerformance(x)))", "∀x ((LanguageModel(x) ∧ GoodPerformance(x)) → UsedBySomeResearchers(x))", "∀x (UsedBySomeResearchers(x) → Popular(x))", "(LanguageModel(bert) ∧ Giant(bert)) → (LanguageModel(gpt-3) ∧ Giant(gpt-3)).", "LanguageModel(bert) ∧ Giant(bert) "], "label": "True", "source": "wiki"}
+{"story_id": 240, "example_id": 687, "conclusion": "GPT-3 is popular.", "premises": ["It is not true that some giant language models do not have good performance. ", "All language models with good performance are used by some researchers.", "If a language model is used by some researchers, it is popular. ", "If BERT is a giant language model, then GPT-3 is also a giant language model. ", "BERT is a giant language model. "], "premises-FOL": ["¬(∃x (LanguageModel(x) ∧ Giant(x) ∧ ¬GoodPerformance(x)))", "∀x ((LanguageModel(x) ∧ GoodPerformance(x)) → UsedBySomeResearchers(x))", "∀x (UsedBySomeResearchers(x) → Popular(x))", "(LanguageModel(bert) ∧ Giant(bert)) → (LanguageModel(gpt-3) ∧ Giant(gpt-3))", "LanguageModel(bert) ∧ Giant(bert) "], "label": "True", "source": "wiki"}
 {"story_id": 110, "example_id": 334, "conclusion": "At least one Scottish team has joined the Scottish Premiership.", "premises": ["St Johnstone is a Scottish team.", "St Johnstone is part of the Scottish Premiership.", "If a team is part of the league, it has joined the league.", "St Johnstone and Minsk are different teams.", "For two different teams, either one team wins or the other team wins.", "Minsk won against St Johnstone."], "premises-FOL": ["Scottish(johnstone)", "PartOf(johnstone, scottishpremiership)", "∀x ∀y (PartOf(x, y) → Joined(x, y))", "Different(misnk, johnstone) ∧ Different(johnstone, minsk)", "∀x ∀y (Different(x, y) → WonGame(x, y) ⊕ WonGame(y, x))", "WonGame(minsk, johnstone)"], "label": "True", "source": "wiki"}
 {"story_id": 110, "example_id": 335, "conclusion": "St Johnstone won against Minsk.", "premises": ["St Johnstone is a Scottish team.", "St Johnstone is part of the Scottish Premiership.", "If a team is part of the league, it has joined the league.", "St Johnstone and Minsk are different teams.", "For two different teams, either one team wins or the other team wins.", "Minsk won against St Johnstone."], "premises-FOL": ["Scottish(johnstone)", "PartOf(johnstone, scottishpremiership)", "∀x ∀y (PartOf(x, y) → Joined(x, y))", "Different(misnk, johnstone) ∧ Different(johnstone, minsk)", "∀x ∀y (Different(x, y) → WonGame(x, y) ⊕ WonGame(y, x))", "WonGame(minsk, johnstone)"], "label": "False", "source": "wiki"}
 {"story_id": 110, "example_id": 336, "conclusion": "Minsk joined the Scottish Premiership.", "premises": ["St Johnstone is a Scottish team.", "St Johnstone is part of the Scottish Premiership.", "If a team is part of the league, it has joined the league.", "St Johnstone and Minsk are different teams.", "For two different teams, either one team wins or the other team wins.", "Minsk won against St Johnstone."], "premises-FOL": ["Scottish(johnstone)", "PartOf(johnstone, scottishpremiership)", "∀x ∀y (PartOf(x, y) → Joined(x, y))", "Different(misnk, johnstone) ∧ Different(johnstone, minsk)", "∀x ∀y (Different(x, y) → WonGame(x, y) ⊕ WonGame(y, x))", "WonGame(minsk, johnstone)"], "label": "Unknown", "source": "wiki"}
diff --git a/data/v0.0/folio-train.txt b/data/v0.0/folio-train.txt
index 1cab9a7..fce49c8 100644
--- a/data/v0.0/folio-train.txt
+++ b/data/v0.0/folio-train.txt
@@ -82,9 +82,9 @@ story_id	example_id	conclusion	premises	premises-FOL	label	source
 24	70	4Sum is a Leetcode problem recommended to the novice.	['If a Leetcode problem is at the easy level, then its AC rate is lower than 20 percent. ', 'All Leetcode problems that are recommended to novices are easy. ', 'A Leetode problem is either easy or hard.', 'Leetcode problems that are starred by more than 1 thousand users are hard.', '2Sum is recommended to novices. ', '4Sum is starred by more than 1 thousand users.']	['∀x (Easy(x) → LowerAC(x))', '∀x (Recommended(x) → Easy(x))', '∀x (Easy(x) ⊕ Hard(x))', '∀x (Starred(x) → Hard(x))', 'Recommended(twosum) ', 'Starred(foursum)']	False	wiki
 24	71	2Sum has an AC rate higher than 20 percent.	['If a Leetcode problem is at the easy level, then its AC rate is lower than 20 percent. ', 'All Leetcode problems that are recommended to novices are easy. ', 'A Leetode problem is either easy or hard.', 'Leetcode problems that are starred by more than 1 thousand users are hard.', '2Sum is recommended to novices. ', '4Sum is starred by more than 1 thousand users.']	['∀x (Easy(x) → LowerAC(x))', '∀x (Recommended(x) → Easy(x))', '∀x (Easy(x) ⊕ Hard(x))', '∀x (Starred(x) → Hard(x))', 'Recommended(twosum) ', 'Starred(foursum)']	False	wiki
 244	692	Sarah will spend money this weekend.	['All rental cars cost the renter money.', 'Whenever Sarah goes to Vermont, Sarah drives there.', 'For someone who does not own a car to drive somewhere, they must either borrow a car or rent a car.', 'Sarah doesn’t own a car.', 'Sarah never borrows a car to go camping.', 'Sarah is going to go camping in Vermont this weekend.', 'To go camping somewhere, you must go to that place.']	['∀x (Rent(x, car) → Spend(x, money))', 'GoesTo(sarah, vermont) → DriveTo(sarah, vermont)', '∀x ∀y (¬Own(x, car) ∧ DriveTo(x, y) → Borrow(x, car) ⊕ Rent(x, car))', '¬Own(sarah, car)', '∀x (Camping(sarah, x) → ¬(Borrow(sarah, car)))', 'Camping(sarah, vermont)', '∀x ∀y (Camping(x, y) → GoesTo(x, y))']	True	wiki
-378	1013	Carol is outgoing and very spirited.	['All people who attend weddings are getting married or have friends who are getting married.', 'No preteens and other young children are getting married or have friends who are getting married.', 'If people enjoy celebrating life milestone events with other people, then they attend weddings.', 'If people are fond of large organized group functions, then they enjoy celebrating life milestone events with other people.', 'All people who are outgoing and very spirited are fond of large organized group functions.', 'If Carol is not both a pre-teen or other young child and attends weddings, then Carol is not getting married or has friends who are getting married.  ']	['∀x Weddings(x) → GettingMarried(x)', '∀x PreTeen(x) → ¬GettingMarried(x)', '∀x Celebrating(x) → Weddings(x)', '∀x LargeGathering(x) → Celebrating(x)', '∀x Outgoing(x) → LargeGathering(x)', '¬(PreTeen(Carol) ∧ Weddings(Carol)) → ¬GettingMarried(Carol)']	False	hyb
-378	1014	Carol is either a preteen or other young child.	['All people who attend weddings are getting married or have friends who are getting married.', 'No preteens and other young children are getting married or have friends who are getting married.', 'If people enjoy celebrating life milestone events with other people, then they attend weddings.', 'If people are fond of large organized group functions, then they enjoy celebrating life milestone events with other people.', 'All people who are outgoing and very spirited are fond of large organized group functions.', 'If Carol is not both a pre-teen or other young child and attends weddings, then Carol is not getting married or has friends who are getting married.  ']	['∀x Weddings(x) → GettingMarried(x)', '∀x PreTeen(x) → ¬GettingMarried(x)', '∀x Celebrating(x) → Weddings(x)', '∀x LargeGathering(x) → Celebrating(x)', '∀x Outgoing(x) → LargeGathering(x)', '¬(PreTeen(Carol) ∧ Weddings(Carol)) → ¬GettingMarried(Carol)']	Unknown	hyb
-378	1015	Carol neither enjoys celebrating life milestone events with other people nor is outgoing and very spirited.	['All people who attend weddings are getting married or have friends who are getting married.', 'No preteens and other young children are getting married or have friends who are getting married.', 'If people enjoy celebrating life milestone events with other people, then they attend weddings.', 'If people are fond of large organized group functions, then they enjoy celebrating life milestone events with other people.', 'All people who are outgoing and very spirited are fond of large organized group functions.', 'If Carol is not both a pre-teen or other young child and attends weddings, then Carol is not getting married or has friends who are getting married.  ']	['∀x Weddings(x) → GettingMarried(x)', '∀x PreTeen(x) → ¬GettingMarried(x)', '∀x Celebrating(x) → Weddings(x)', '∀x LargeGathering(x) → Celebrating(x)', '∀x Outgoing(x) → LargeGathering(x)', '¬(PreTeen(Carol) ∧ Weddings(Carol)) → ¬GettingMarried(Carol)']	True	hyb
+378	1013	Carol is outgoing and very spirited.	['All people who attend weddings are getting married or have friends who are getting married.', 'No preteens and other young children are getting married or have friends who are getting married.', 'If people enjoy celebrating life milestone events with other people, then they attend weddings.', 'If people are fond of large organized group functions, then they enjoy celebrating life milestone events with other people.', 'All people who are outgoing and very spirited are fond of large organized group functions.', 'If Carol is not both a pre-teen or other young child and attends weddings, then Carol is not getting married or has friends who are getting married.  ']	['∀x Weddings(x) → GettingMarried(x)', '∀x PreTeen(x) → ¬GettingMarried(x)', '∀x Celebrating(x) → Weddings(x)', '∀x LargeGathering(x) → Celebrating(x)', '∀x Outgoing(x) → LargeGathering(x)', '¬(PreTeen(carol) ∧ Weddings(carol)) → ¬GettingMarried(carol)']	False	hyb
+378	1014	Carol is either a preteen or other young child.	['All people who attend weddings are getting married or have friends who are getting married.', 'No preteens and other young children are getting married or have friends who are getting married.', 'If people enjoy celebrating life milestone events with other people, then they attend weddings.', 'If people are fond of large organized group functions, then they enjoy celebrating life milestone events with other people.', 'All people who are outgoing and very spirited are fond of large organized group functions.', 'If Carol is not both a pre-teen or other young child and attends weddings, then Carol is not getting married or has friends who are getting married.  ']	['∀x Weddings(x) → GettingMarried(x)', '∀x PreTeen(x) → ¬GettingMarried(x)', '∀x Celebrating(x) → Weddings(x)', '∀x LargeGathering(x) → Celebrating(x)', '∀x Outgoing(x) → LargeGathering(x)', '¬(PreTeen(carol) ∧ Weddings(carol)) → ¬GettingMarried(carol)']	Unknown	hyb
+378	1015	Carol neither enjoys celebrating life milestone events with other people nor is outgoing and very spirited.	['All people who attend weddings are getting married or have friends who are getting married.', 'No preteens and other young children are getting married or have friends who are getting married.', 'If people enjoy celebrating life milestone events with other people, then they attend weddings.', 'If people are fond of large organized group functions, then they enjoy celebrating life milestone events with other people.', 'All people who are outgoing and very spirited are fond of large organized group functions.', 'If Carol is not both a pre-teen or other young child and attends weddings, then Carol is not getting married or has friends who are getting married.  ']	['∀x Weddings(x) → GettingMarried(x)', '∀x PreTeen(x) → ¬GettingMarried(x)', '∀x Celebrating(x) → Weddings(x)', '∀x LargeGathering(x) → Celebrating(x)', '∀x Outgoing(x) → LargeGathering(x)', '¬(PreTeen(carol) ∧ Weddings(carol)) → ¬GettingMarried(carol)']	True	hyb
 395	1073	A U.S government official is a Democrat.	['All Republicans are anti-abortion.', 'Either Republicans or Democrats. ', 'No Democrats are conservative.', 'Either conservative or liberal. ', 'A U.S government official is either conservative or a Republican.']	['∀x (Republicans(x) → Anti-abortion(x))', ' ∀x (Republicans(x) ∨ Democrats(x))', ' ∀x (Democrats(x) → ¬Conservative(x))', ' ∀x (Conservative(x) ∨ Liberal(x))', ' Conservative(anU.SGovernmentOfficial) ⊕ Republicans(anU.SGovernmentOfficial)']	Unknown	hyb
 395	1074	A U.S government official is anti-abortion and a liberal.	['All Republicans are anti-abortion.', 'Either Republicans or Democrats. ', 'No Democrats are conservative.', 'Either conservative or liberal. ', 'A U.S government official is either conservative or a Republican.']	['∀x (Republicans(x) → Anti-abortion(x))', ' ∀x (Republicans(x) ∨ Democrats(x))', ' ∀x (Democrats(x) → ¬Conservative(x))', ' ∀x (Conservative(x) ∨ Liberal(x))', ' Conservative(anU.SGovernmentOfficial) ⊕ Republicans(anU.SGovernmentOfficial)']	True	hyb
 395	1075	A U.S government official is either anti-abortion or a liberal.	['All Republicans are anti-abortion.', 'Either Republicans or Democrats. ', 'No Democrats are conservative.', 'Either conservative or liberal. ', 'A U.S government official is either conservative or a Republican.']	['∀x (Republicans(x) → Anti-abortion(x))', ' ∀x (Republicans(x) ∨ Democrats(x))', ' ∀x (Democrats(x) → ¬Conservative(x))', ' ∀x (Conservative(x) ∨ Liberal(x))', ' Conservative(anU.SGovernmentOfficial) ⊕ Republicans(anU.SGovernmentOfficial)']	False	hyb
@@ -300,8 +300,8 @@ story_id	example_id	conclusion	premises	premises-FOL	label	source
 362	968	If Matt is either a person who has a lot of disposable income to spend or reads the Wall Street Journal and other newspapers regularly, then Matt neither has a lot of disposable income to spend nor visits the Las Vegas Strip Regularly.	['People either invest in the public stock market regularly or enjoy gambling regularly.', 'If people invest in the public stock market regularly, then they read the Wall Street Journal and other newspapers regularly to keep updated on financial metrics.', 'All people who enjoy gambling regularly spend a lot of money at casinos and other betting games.', 'People who spend a lot of money at casinos and other betting games visit the Las Vegas Strip regularly.', 'People who spend a lot of money at casinos and other betting games have a lot of disposable income to spend.', 'If Matt invests in the public stock market regularly, then Matt neither has a lot of disposable income to spend nor invests in the public stock market regularly. ']	['∀x (Invests(x) ∨ Gambling(x))', '∀x (Invests(x) → Newspapers(x))', '∀x (Gambling(x) → Casinos(x))', '∀x (Casinos(x) → LasVegas(x))', '∀x (Casinos(x) → DisposableIncome(x))', 'Invests(matt) → ¬DisposableIncome(matt) ∧ ¬Invests(matt)']	False	hyb
 241	688	John can get the rhythms right.	['All students learning piano can strike the right notes. ', 'All students who can strike the right note can get the rhythms right. ', 'If a student can get the rhythms right, he will start working on coordination between the left and the right hands. ', 'Some students who start working on coordination between the left and the right hands become good at it. The other students find it challenging. ', 'If John can strike the right notes, get the rhythms right and is good at coordination between right and left hands, then he puts emotions into his playing. ', 'John is a student learning piano. ', 'John does not find coordination between the left and the right hands challenging. ']	['∀x (Student(x) ∧ LearningPiano(x) → StrikeRightNotes(x))', '∀x (Student(x) ∧ StrikeRightNotes(x) → GetRhythmRight(x))', '∀x (Student(x) ∧ GetRhythmRight(x) → StartCoordination(x))', '∀x (Student(x) ∧ StartCoordination(x) → GoodAtCoordination(x) ⊕ FindCoordinationChallenging(x))', 'StrikeRightNotes(john) ∧ GetRhythmRight(john) ∧ GoodAtCoordination(john) → PutEmotion(john)', 'Student(john) ∧ LearningPiano(john)', '¬FindCoordinationChallenging(john)']	True	wiki
 241	689	John does not put emotions into his playing.	['All students learning piano can strike the right notes. ', 'All students who can strike the right note can get the rhythms right. ', 'If a student can get the rhythms right, he will start working on coordination between the left and the right hands. ', 'Some students who start working on coordination between the left and the right hands become good at it. The other students find it challenging. ', 'If John can strike the right notes, get the rhythms right and is good at coordination between right and left hands, then he puts emotions into his playing. ', 'John is a student learning piano. ', 'John does not find coordination between the left and the right hands challenging. ']	['∀x (Student(x) ∧ LearningPiano(x) → StrikeRightNotes(x))', '∀x (Student(x) ∧ StrikeRightNotes(x) → GetRhythmRight(x))', '∀x (Student(x) ∧ GetRhythmRight(x) → StartCoordination(x))', '∀x (Student(x) ∧ StartCoordination(x) → GoodAtCoordination(x) ⊕ FindCoordinationChallenging(x))', 'StrikeRightNotes(john) ∧ GetRhythmRight(john) ∧ GoodAtCoordination(john) → PutEmotion(john)', 'Student(john) ∧ LearningPiano(john)', '¬FindCoordinationChallenging(john)']	False	wiki
-229	654	Barbara Ann Marshall did not receive medals.	['Barbara Ann Marshall is a former swimmer and former world record-holder.', 'Barbara Ann Marshall participated in the 1972 Summer Olympics.', "Barbara Ann Marshall's home country is the United States.", 'All people who compete in the 1972 Summer Olympics represent their home country.', 'Barbara Ann Marshall participated in the preliminary heat in the freestyle relay.', 'Barbara Ann Marshall did not participate in the event final of the 1972 Summer Olympics freestyle relay.', 'Only relay swimmers who participated in the event final received medals.']	['FormerSwimmer(barbaraannmarshall) ∧ FormerWorldRecordHolder(barbaraannmarshall)', 'ParticipatedIn(barbaraannmarshall, summer1972olympics)', 'HomeCountry(barbaraannmarshall, unitedstates)', '∀x ∃y (ParticipatedIn(x, summer1972olympics) ∧ HomeCountry(x, y) → Represented(x, y))', 'ParticipatedIn(barbaraannmarshall, preliminaryheatfreestylerelay)', '¬ParticipatedIn(barbaraannmarshall, finalheatfreestylerelay)', '∀x ((RelaySwimmer(x) ∧ ¬ParticipatedIn(x, finalheatfreerelay)) ↔ ¬Recieved(x, medal)))']	Unknown	wiki
-229	655	Barbara Ann Marshall represented the United States in the 1972 Summer Olympics.	['Barbara Ann Marshall is a former swimmer and former world record-holder.', 'Barbara Ann Marshall participated in the 1972 Summer Olympics.', "Barbara Ann Marshall's home country is the United States.", 'All people who compete in the 1972 Summer Olympics represent their home country.', 'Barbara Ann Marshall participated in the preliminary heat in the freestyle relay.', 'Barbara Ann Marshall did not participate in the event final of the 1972 Summer Olympics freestyle relay.', 'Only relay swimmers who participated in the event final received medals.']	['FormerSwimmer(barbaraannmarshall) ∧ FormerWorldRecordHolder(barbaraannmarshall)', 'ParticipatedIn(barbaraannmarshall, summer1972olympics)', 'HomeCountry(barbaraannmarshall, unitedstates)', '∀x ∃y (ParticipatedIn(x, summer1972olympics) ∧ HomeCountry(x, y) → Represented(x, y))', 'ParticipatedIn(barbaraannmarshall, preliminaryheatfreestylerelay)', '¬ParticipatedIn(barbaraannmarshall, finalheatfreestylerelay)', '∀x ((RelaySwimmer(x) ∧ ¬ParticipatedIn(x, finalheatfreerelay)) ↔ ¬Recieved(x, medal)))']	True	wiki
+229	654	Barbara Ann Marshall did not receive medals.	['Barbara Ann Marshall is a former swimmer and former world record-holder.', 'Barbara Ann Marshall participated in the 1972 Summer Olympics.', "Barbara Ann Marshall's home country is the United States.", 'All people who compete in the 1972 Summer Olympics represent their home country.', 'Barbara Ann Marshall participated in the preliminary heat in the freestyle relay.', 'Barbara Ann Marshall did not participate in the event final of the 1972 Summer Olympics freestyle relay.', 'Only relay swimmers who participated in the event final received medals.']	['FormerSwimmer(barbaraannmarshall) ∧ FormerWorldRecordHolder(barbaraannmarshall)', 'ParticipatedIn(barbaraannmarshall, summer1972olympics)', 'HomeCountry(barbaraannmarshall, unitedstates)', '∀x ∃y (ParticipatedIn(x, summer1972olympics) ∧ HomeCountry(x, y) → Represented(x, y))', 'ParticipatedIn(barbaraannmarshall, preliminaryheatfreestylerelay)', '¬ParticipatedIn(barbaraannmarshall, finalheatfreestylerelay)', '∀x ((RelaySwimmer(x) ∧ ¬ParticipatedIn(x, finalheatfreerelay)) ↔ ¬Recieved(x, medal))']	Unknown	wiki
+229	655	Barbara Ann Marshall represented the United States in the 1972 Summer Olympics.	['Barbara Ann Marshall is a former swimmer and former world record-holder.', 'Barbara Ann Marshall participated in the 1972 Summer Olympics.', "Barbara Ann Marshall's home country is the United States.", 'All people who compete in the 1972 Summer Olympics represent their home country.', 'Barbara Ann Marshall participated in the preliminary heat in the freestyle relay.', 'Barbara Ann Marshall did not participate in the event final of the 1972 Summer Olympics freestyle relay.', 'Only relay swimmers who participated in the event final received medals.']	['FormerSwimmer(barbaraannmarshall) ∧ FormerWorldRecordHolder(barbaraannmarshall)', 'ParticipatedIn(barbaraannmarshall, summer1972olympics)', 'HomeCountry(barbaraannmarshall, unitedstates)', '∀x ∃y (ParticipatedIn(x, summer1972olympics) ∧ HomeCountry(x, y) → Represented(x, y))', 'ParticipatedIn(barbaraannmarshall, preliminaryheatfreestylerelay)', '¬ParticipatedIn(barbaraannmarshall, finalheatfreestylerelay)', '∀x ((RelaySwimmer(x) ∧ ¬ParticipatedIn(x, finalheatfreerelay)) ↔ ¬Recieved(x, medal))']	True	wiki
 201	576	It is possible to move to the green stage without ever reaching the yellow stage.	['A game is played with three stages: red stage, yellow stage, and green stage.', 'Each player begins at the red stage.', 'All players must reach the yellow stage before they can reach the green stage.', 'The yellow stage comes after the red stage.', 'All players must proceed one stage at a time.']	['∃x (Player(x))', '∀x (Player(x) → StartRed(x))', '∀x (Player(x) → YellowToGreen(x))', '∀x (Player(x) → RedToYellow(x))', '∀x (Player(x) → ¬RedToGreen(x))']	False	wiki
 201	577	It is possible to reach the yellow stage without ever reaching the green stage.	['A game is played with three stages: red stage, yellow stage, and green stage.', 'Each player begins at the red stage.', 'All players must reach the yellow stage before they can reach the green stage.', 'The yellow stage comes after the red stage.', 'All players must proceed one stage at a time.']	['∃x (Player(x))', '∀x (Player(x) → StartRed(x))', '∀x (Player(x) → YellowToGreen(x))', '∀x (Player(x) → RedToYellow(x))', '∀x (Player(x) → ¬RedToGreen(x))']	True	wiki
 201	578	It is possible to complete the game without ever reaching the green stage.	['A game is played with three stages: red stage, yellow stage, and green stage.', 'Each player begins at the red stage.', 'All players must reach the yellow stage before they can reach the green stage.', 'The yellow stage comes after the red stage.', 'All players must proceed one stage at a time.']	['∃x (Player(x))', '∀x (Player(x) → StartRed(x))', '∀x (Player(x) → YellowToGreen(x))', '∀x (Player(x) → RedToYellow(x))', '∀x (Player(x) → ¬RedToGreen(x))']	Unknown	wiki
@@ -396,9 +396,9 @@ story_id	example_id	conclusion	premises	premises-FOL	label	source
 439	1266	Bubbles is an Osprey.	['No fish are birds.', 'Everything that is an osprey is a bird.', 'If something is a carp, then it is a fish.', 'All goldfish are carp.', 'If Bubbles is either an osprey or a goldfish, then Bubbles is not a fish.']	['∀x (Fish(x) → ¬Bird(x))', '∀x (Osprey(x) → Bird(x))', '∀x (Carp(x) → Fish(x))', '∀x (Goldfish(x) → Carp(x))', 'Osprey(bubbles) ⊕ Carp(bubbles) → ¬Fish(bubbles)']	Unknown	hyb
 439	1267	Bubbles is a carp.	['No fish are birds.', 'Everything that is an osprey is a bird.', 'If something is a carp, then it is a fish.', 'All goldfish are carp.', 'If Bubbles is either an osprey or a goldfish, then Bubbles is not a fish.']	['∀x (Fish(x) → ¬Bird(x))', '∀x (Osprey(x) → Bird(x))', '∀x (Carp(x) → Fish(x))', '∀x (Goldfish(x) → Carp(x))', 'Osprey(bubbles) ⊕ Carp(bubbles) → ¬Fish(bubbles)']	False	hyb
 439	1268	Bubbles is not a carp.	['No fish are birds.', 'Everything that is an osprey is a bird.', 'If something is a carp, then it is a fish.', 'All goldfish are carp.', 'If Bubbles is either an osprey or a goldfish, then Bubbles is not a fish.']	['∀x (Fish(x) → ¬Bird(x))', '∀x (Osprey(x) → Bird(x))', '∀x (Carp(x) → Fish(x))', '∀x (Goldfish(x) → Carp(x))', 'Osprey(bubbles) ⊕ Carp(bubbles) → ¬Fish(bubbles)']	True	hyb
-158	455	Mr. Smith has been to San Francisco.	['Mr. and Mrs. Smith make a travel plan, they want to go to a city in California or Florida, and where neither of them has ever been.', 'Cities in California that they are interested in are San Francisco, Los Angeles, and San Diego.', 'Cities in Florida that they are interested in are Orlando and Miami.', 'Mr. Smith has been to two cities in California.', 'Mrs. Smith has been to one city in Florida.']	['∀x (WantToGo(x) → (California(x) ∨ Florida(x)) ∧ (NeverGo(x)))', '∀x (((SanFrancisco(x) ∨ LosAngeles(x) ∨ SanDiego(x)) ∧ California(x)) → WantToGo(x))', '∀x ((Orlando(x) ∨ Miami(x)) ∧ Florida(x)) → WantToGo(x))', 'CaliforniaCityVisited(mr.smith, two)', 'FloridaCityVisited(mrs.smith, one)']	Unknown	wiki
-158	456	They have at leat one candidate city in Florida to visit.	['Mr. and Mrs. Smith make a travel plan, they want to go to a city in California or Florida, and where neither of them has ever been.', 'Cities in California that they are interested in are San Francisco, Los Angeles, and San Diego.', 'Cities in Florida that they are interested in are Orlando and Miami.', 'Mr. Smith has been to two cities in California.', 'Mrs. Smith has been to one city in Florida.']	['∀x (WantToGo(x) → (California(x) ∨ Florida(x)) ∧ (NeverGo(x)))', '∀x (((SanFrancisco(x) ∨ LosAngeles(x) ∨ SanDiego(x)) ∧ California(x)) → WantToGo(x))', '∀x ((Orlando(x) ∨ Miami(x)) ∧ Florida(x)) → WantToGo(x))', 'CaliforniaCityVisited(mr.smith, two)', 'FloridaCityVisited(mrs.smith, one)']	Unknown	wiki
-158	457	They have at least two candidate cities in California to visit.	['Mr. and Mrs. Smith make a travel plan, they want to go to a city in California or Florida, and where neither of them has ever been.', 'Cities in California that they are interested in are San Francisco, Los Angeles, and San Diego.', 'Cities in Florida that they are interested in are Orlando and Miami.', 'Mr. Smith has been to two cities in California.', 'Mrs. Smith has been to one city in Florida.']	['∀x (WantToGo(x) → (California(x) ∨ Florida(x)) ∧ (NeverGo(x)))', '∀x (((SanFrancisco(x) ∨ LosAngeles(x) ∨ SanDiego(x)) ∧ California(x)) → WantToGo(x))', '∀x ((Orlando(x) ∨ Miami(x)) ∧ Florida(x)) → WantToGo(x))', 'CaliforniaCityVisited(mr.smith, two)', 'FloridaCityVisited(mrs.smith, one)']	Unknown	wiki
+158	455	Mr. Smith has been to San Francisco.	['Mr. and Mrs. Smith make a travel plan, they want to go to a city in California or Florida, and where neither of them has ever been.', 'Cities in California that they are interested in are San Francisco, Los Angeles, and San Diego.', 'Cities in Florida that they are interested in are Orlando and Miami.', 'Mr. Smith has been to two cities in California.', 'Mrs. Smith has been to one city in Florida.']	['∀x (WantToGo(x) → (California(x) ∨ Florida(x)) ∧ (NeverGo(x)))', '∀x (((SanFrancisco(x) ∨ LosAngeles(x) ∨ SanDiego(x)) ∧ California(x)) → WantToGo(x))', '∀x (((Orlando(x) ∨ Miami(x)) ∧ Florida(x)) → WantToGo(x))', 'CaliforniaCityVisited(mr.smith, two)', 'FloridaCityVisited(mrs.smith, one)']	Unknown	wiki
+158	456	They have at leat one candidate city in Florida to visit.	['Mr. and Mrs. Smith make a travel plan, they want to go to a city in California or Florida, and where neither of them has ever been.', 'Cities in California that they are interested in are San Francisco, Los Angeles, and San Diego.', 'Cities in Florida that they are interested in are Orlando and Miami.', 'Mr. Smith has been to two cities in California.', 'Mrs. Smith has been to one city in Florida.']	['∀x (WantToGo(x) → (California(x) ∨ Florida(x)) ∧ (NeverGo(x)))', '∀x (((SanFrancisco(x) ∨ LosAngeles(x) ∨ SanDiego(x)) ∧ California(x)) → WantToGo(x))', '∀x (((Orlando(x) ∨ Miami(x)) ∧ Florida(x)) → WantToGo(x))', 'CaliforniaCityVisited(mr.smith, two)', 'FloridaCityVisited(mrs.smith, one)']	Unknown	wiki
+158	457	They have at least two candidate cities in California to visit.	['Mr. and Mrs. Smith make a travel plan, they want to go to a city in California or Florida, and where neither of them has ever been.', 'Cities in California that they are interested in are San Francisco, Los Angeles, and San Diego.', 'Cities in Florida that they are interested in are Orlando and Miami.', 'Mr. Smith has been to two cities in California.', 'Mrs. Smith has been to one city in Florida.']	['∀x (WantToGo(x) → (California(x) ∨ Florida(x)) ∧ (NeverGo(x)))', '∀x (((SanFrancisco(x) ∨ LosAngeles(x) ∨ SanDiego(x)) ∧ California(x)) → WantToGo(x))', '∀x (((Orlando(x) ∨ Miami(x)) ∧ Florida(x)) → WantToGo(x))', 'CaliforniaCityVisited(mr.smith, two)', 'FloridaCityVisited(mrs.smith, one)']	Unknown	wiki
 486	1429	A bird is still.	['Everything is either big or small.', 'All big things are heavy. ', 'All small things are light. ', 'All heavy things are still.', 'All light things are unstable.', 'All unstable things are changing.', 'All unstable things are kinetic. ', 'A bird is not both heavy and still.']	['∀x (Big(x) ⊕ Small(x))', '∀x (Big(x) → Heavy(x))', '∀x (Small(x) → Light(x))', '∀x (Heavy(x) → Still(x))', '∀x (Light(x) → Unstable(x))', '∀x (Unstable(x) → Changing(x))', '∀x (Unstable(x) → Kinetic(x))', '¬(Heavy(bird) ∧ Still(bird))']	Unknown	hyb
 486	1430	A bird is not still.	['Everything is either big or small.', 'All big things are heavy. ', 'All small things are light. ', 'All heavy things are still.', 'All light things are unstable.', 'All unstable things are changing.', 'All unstable things are kinetic. ', 'A bird is not both heavy and still.']	['∀x (Big(x) ⊕ Small(x))', '∀x (Big(x) → Heavy(x))', '∀x (Small(x) → Light(x))', '∀x (Heavy(x) → Still(x))', '∀x (Light(x) → Unstable(x))', '∀x (Unstable(x) → Changing(x))', '∀x (Unstable(x) → Kinetic(x))', '¬(Heavy(bird) ∧ Still(bird))']	Unknown	hyb
 486	1431	A bird is kinetic and changing.	['Everything is either big or small.', 'All big things are heavy. ', 'All small things are light. ', 'All heavy things are still.', 'All light things are unstable.', 'All unstable things are changing.', 'All unstable things are kinetic. ', 'A bird is not both heavy and still.']	['∀x (Big(x) ⊕ Small(x))', '∀x (Big(x) → Heavy(x))', '∀x (Small(x) → Light(x))', '∀x (Heavy(x) → Still(x))', '∀x (Light(x) → Unstable(x))', '∀x (Unstable(x) → Changing(x))', '∀x (Unstable(x) → Kinetic(x))', '¬(Heavy(bird) ∧ Still(bird))']	True	hyb
@@ -423,9 +423,9 @@ story_id	example_id	conclusion	premises	premises-FOL	label	source
 327	842	Roger Federer is a centerback.	['No professional basketball players are soccer players.', 'All NBA players are professional basketball players.', 'All defenders are soccer players.', 'All centerbacks are defenders.', 'Roger Federer is not an NBA player or a defender.']	['¬(∃x (SoccerPlayer(x) ∧ ProfessionalBasketballPlayer(x)))', '∀x (NBAPlayer(x) → ProfessionalBasketballPlayer(x))', '∀x (Defender(x) → SoccerPlayer(x))', '∀x (Centerback(x) → Defender(x))', '¬(NBAPlayer(rogerfederer) ⊕ Defender(rogerfederer))']	False	hyb
 327	843	Roger Federer is not a centerback.	['No professional basketball players are soccer players.', 'All NBA players are professional basketball players.', 'All defenders are soccer players.', 'All centerbacks are defenders.', 'Roger Federer is not an NBA player or a defender.']	['¬(∃x (SoccerPlayer(x) ∧ ProfessionalBasketballPlayer(x)))', '∀x (NBAPlayer(x) → ProfessionalBasketballPlayer(x))', '∀x (Defender(x) → SoccerPlayer(x))', '∀x (Centerback(x) → Defender(x))', '¬(NBAPlayer(rogerfederer) ⊕ Defender(rogerfederer))']	True	hyb
 327	844	Roger Federer is a soccer player.	['No professional basketball players are soccer players.', 'All NBA players are professional basketball players.', 'All defenders are soccer players.', 'All centerbacks are defenders.', 'Roger Federer is not an NBA player or a defender.']	['¬(∃x (SoccerPlayer(x) ∧ ProfessionalBasketballPlayer(x)))', '∀x (NBAPlayer(x) → ProfessionalBasketballPlayer(x))', '∀x (Defender(x) → SoccerPlayer(x))', '∀x (Centerback(x) → Defender(x))', '¬(NBAPlayer(rogerfederer) ⊕ Defender(rogerfederer))']	Unknown	hyb
-443	1279	Mary is nice.	['Some teachers working at a pool are not nice.', 'All teachers working at pools are pool managers.', 'All pool managers are lifeguards.', 'If someone is a lifeguard, then they work at a pool.', 'Mary does not work at a pool.']	['∃x (TeacherWorkingAtPool(x) ∧ ¬Nice(x))', '∀x (TeacherWorkingAtPool(x) → PoolManager(x))', '∀x (PoolManager(x) → Lifeguard(x))', '∀x (Lifeguard(x) → WorkAtPool(x))', '¬WorkAtPool(mary))']	Unknown	hyb
-443	1280	Mary is not nice and is a teacher working at a pool.	['Some teachers working at a pool are not nice.', 'All teachers working at pools are pool managers.', 'All pool managers are lifeguards.', 'If someone is a lifeguard, then they work at a pool.', 'Mary does not work at a pool.']	['∃x (TeacherWorkingAtPool(x) ∧ ¬Nice(x))', '∀x (TeacherWorkingAtPool(x) → PoolManager(x))', '∀x (PoolManager(x) → Lifeguard(x))', '∀x (Lifeguard(x) → WorkAtPool(x))', '¬WorkAtPool(mary))']	True	hyb
-443	1281	Mary is nice and is a teacher working at a pool.	['Some teachers working at a pool are not nice.', 'All teachers working at pools are pool managers.', 'All pool managers are lifeguards.', 'If someone is a lifeguard, then they work at a pool.', 'Mary does not work at a pool.']	['∃x (TeacherWorkingAtPool(x) ∧ ¬Nice(x))', '∀x (TeacherWorkingAtPool(x) → PoolManager(x))', '∀x (PoolManager(x) → Lifeguard(x))', '∀x (Lifeguard(x) → WorkAtPool(x))', '¬WorkAtPool(mary))']	False	hyb
+443	1279	Mary is nice.	['Some teachers working at a pool are not nice.', 'All teachers working at pools are pool managers.', 'All pool managers are lifeguards.', 'If someone is a lifeguard, then they work at a pool.', 'Mary does not work at a pool.']	['∃x (TeacherWorkingAtPool(x) ∧ ¬Nice(x))', '∀x (TeacherWorkingAtPool(x) → PoolManager(x))', '∀x (PoolManager(x) → Lifeguard(x))', '∀x (Lifeguard(x) → WorkAtPool(x))', '¬WorkAtPool(mary)']	Unknown	hyb
+443	1280	Mary is not nice and is a teacher working at a pool.	['Some teachers working at a pool are not nice.', 'All teachers working at pools are pool managers.', 'All pool managers are lifeguards.', 'If someone is a lifeguard, then they work at a pool.', 'Mary does not work at a pool.']	['∃x (TeacherWorkingAtPool(x) ∧ ¬Nice(x))', '∀x (TeacherWorkingAtPool(x) → PoolManager(x))', '∀x (PoolManager(x) → Lifeguard(x))', '∀x (Lifeguard(x) → WorkAtPool(x))', '¬WorkAtPool(mary)']	True	hyb
+443	1281	Mary is nice and is a teacher working at a pool.	['Some teachers working at a pool are not nice.', 'All teachers working at pools are pool managers.', 'All pool managers are lifeguards.', 'If someone is a lifeguard, then they work at a pool.', 'Mary does not work at a pool.']	['∃x (TeacherWorkingAtPool(x) ∧ ¬Nice(x))', '∀x (TeacherWorkingAtPool(x) → PoolManager(x))', '∀x (PoolManager(x) → Lifeguard(x))', '∀x (Lifeguard(x) → WorkAtPool(x))', '¬WorkAtPool(mary)']	False	hyb
 302	751	There exist art pieces that do not require practice.	['Not all art pieces require talent.', 'Everything that requires talent requires practice.']	['∃x (ArtPiece(x) ∧ ¬RequiresTalent(x))', '∀x (RequiresTalent(x) → RequiresPractice(x))']	True	wiki
 88	268	Bernarda Bryson Shahn was born in Greece.	['Bernarda Bryson Shahn was a painter and lithographer.', 'Bernarda Bryson Shahn was born in Athens, Ohio. ', 'Bernarda Bryson Shahn was married to Ben Shahn.', 'People born in Athens, Ohio are Americans.']	['Painter(bernardaBrysonShahn) ∧ Lithographer(bernardaBrysonShahn) ', 'BornIn(bernardaBrysonShahn, athensOhio)', 'MarriedTo(bernardaBrysonShahn, benShahn)', '∀x (BornIn(x, athensOhio) → American(x))']	Unknown	wiki
 88	269	Bernarda Bryson Shahn was American.	['Bernarda Bryson Shahn was a painter and lithographer.', 'Bernarda Bryson Shahn was born in Athens, Ohio. ', 'Bernarda Bryson Shahn was married to Ben Shahn.', 'People born in Athens, Ohio are Americans.']	['Painter(bernardaBrysonShahn) ∧ Lithographer(bernardaBrysonShahn) ', 'BornIn(bernardaBrysonShahn, athensOhio)', 'MarriedTo(bernardaBrysonShahn, benShahn)', '∀x (BornIn(x, athensOhio) → American(x))']	True	wiki
@@ -447,9 +447,9 @@ story_id	example_id	conclusion	premises	premises-FOL	label	source
 381	1023	Clyde is a history professor who is passionate about his job and subject.	['All people who attend Renaissance fairs regularly enjoy dressing up in old-fashioned and historical period clothing.', 'If people are fascinated by the history of the Renaissance and other past eras, then they attend Renaissance fairs regularly.', 'People are either fascinated by the history of the Renaissance and other past eras, or are not nostalgic academics who enjoy learning.', 'If people are focused on the future and industry professions, then they are not nostalgic academics who enjoy learning.', 'If people are historical professors who are passionate about their job and subject, then they are nostalgic academics who enjoy learning.', 'If Clyde is not focused on the future and industry professions, then he is neither focused on the future and industry professions nor enjoys dressing up in old-fashioned and historical period clothing.']	['∀x (RenaissanceFair(x) → DressingUp(x))', '∀x (HistoryRenaissance(x) → RenaissanceFair(x))', '∀x (HistoryRenaissance(x) ∨ NotAcademics(x))', '∀x (Industry(x) → NotAcademics(x))', '∀x (HistoryProf(x) → ¬NotAcademics(x))', '¬Industry(clyde) → ¬(Industry(clyde) ∨ DressingUp(clyde))']	False	hyb
 381	1024	Clyde is a history professor who is passionate about his job and subject, or is not a nostalgic academic who enjoys learning.	['All people who attend Renaissance fairs regularly enjoy dressing up in old-fashioned and historical period clothing.', 'If people are fascinated by the history of the Renaissance and other past eras, then they attend Renaissance fairs regularly.', 'People are either fascinated by the history of the Renaissance and other past eras, or are not nostalgic academics who enjoy learning.', 'If people are focused on the future and industry professions, then they are not nostalgic academics who enjoy learning.', 'If people are historical professors who are passionate about their job and subject, then they are nostalgic academics who enjoy learning.', 'If Clyde is not focused on the future and industry professions, then he is neither focused on the future and industry professions nor enjoys dressing up in old-fashioned and historical period clothing.']	['∀x (RenaissanceFair(x) → DressingUp(x))', '∀x (HistoryRenaissance(x) → RenaissanceFair(x))', '∀x (HistoryRenaissance(x) ∨ NotAcademics(x))', '∀x (Industry(x) → NotAcademics(x))', '∀x (HistoryProf(x) → ¬NotAcademics(x))', '¬Industry(clyde) → ¬(Industry(clyde) ∨ DressingUp(clyde))']	True	hyb
 270	719	No sports cars are automobiles designed for family use.	['No sports cars are vehicles intended to be driven at moderate speeds.', 'All automobiles designed for family use are vehicles intended to be driven at moderate speeds.']	['∀x (SportsCar(x) → ¬IntendedToBeDrivenAtModerateSpeeds(x))', '∀x (ForFamilyUse(x) → IntendedToBeDrivenAtModerateSpeeds(x))']	True	wiki
-356	949	Kat is a person who comes to work every day with a positive attitude.	['If people work well in teams in their workplace, then they get along with all their colleagues at their work.', 'If people come to work every day with a positive attitude, then they work well in teams in their workplace.', 'People either come into work every day with a positive attitude or are always tired every morning.', 'If people get many promotions from their boss at work, then they receive negative feedback from teams at work.', 'Kat is either both a person who works well in teams in their workplace and is always tired every morning, or she neither works well in teams in their workplace nor is always tired every morning.']	['∀x (WorkTeams(x) → Colleagues(x))', '∀x (PositiveAttitude(x) → WorkTeams(x))', '∀x (PositiveAttitude(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → BossPromotions(x)))', '∀x (BossPromotions(x) → ¬NegativeFeedback(x))', '(WorkTeams(kat) ∧ Tired(kat)) ∨ ¬WorkTeams(kat) ∧ ¬Tired(kat))']	Unknown	hyb
-356	950	Kat gets along with her colleagues at her work and receives negative feedback from teams at her work.	['If people work well in teams in their workplace, then they get along with all their colleagues at their work.', 'If people come to work every day with a positive attitude, then they work well in teams in their workplace.', 'People either come into work every day with a positive attitude or are always tired every morning.', 'If people get many promotions from their boss at work, then they receive negative feedback from teams at work.', 'Kat is either both a person who works well in teams in their workplace and is always tired every morning, or she neither works well in teams in their workplace nor is always tired every morning.']	['∀x (WorkTeams(x) → Colleagues(x))', '∀x (PositiveAttitude(x) → WorkTeams(x))', '∀x (PositiveAttitude(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → BossPromotions(x)))', '∀x (BossPromotions(x) → ¬NegativeFeedback(x))', '(WorkTeams(kat) ∧ Tired(kat)) ∨ ¬WorkTeams(kat) ∧ ¬Tired(kat))']	False	hyb
-356	951	Kat either gets along with her colleagues at her work or receives negative feedback from teams at her work.	['If people work well in teams in their workplace, then they get along with all their colleagues at their work.', 'If people come to work every day with a positive attitude, then they work well in teams in their workplace.', 'People either come into work every day with a positive attitude or are always tired every morning.', 'If people get many promotions from their boss at work, then they receive negative feedback from teams at work.', 'Kat is either both a person who works well in teams in their workplace and is always tired every morning, or she neither works well in teams in their workplace nor is always tired every morning.']	['∀x (WorkTeams(x) → Colleagues(x))', '∀x (PositiveAttitude(x) → WorkTeams(x))', '∀x (PositiveAttitude(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → BossPromotions(x)))', '∀x (BossPromotions(x) → ¬NegativeFeedback(x))', '(WorkTeams(kat) ∧ Tired(kat)) ∨ ¬WorkTeams(kat) ∧ ¬Tired(kat))']	True	hyb
+356	949	Kat is a person who comes to work every day with a positive attitude.	['If people work well in teams in their workplace, then they get along with all their colleagues at their work.', 'If people come to work every day with a positive attitude, then they work well in teams in their workplace.', 'People either come into work every day with a positive attitude or are always tired every morning.', 'If people get many promotions from their boss at work, then they receive negative feedback from teams at work.', 'Kat is either both a person who works well in teams in their workplace and is always tired every morning, or she neither works well in teams in their workplace nor is always tired every morning.']	['∀x (WorkTeams(x) → Colleagues(x))', '∀x (PositiveAttitude(x) → WorkTeams(x))', '∀x (PositiveAttitude(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → BossPromotions(x)))', '∀x (BossPromotions(x) → ¬NegativeFeedback(x))', '(WorkTeams(kat) ∧ Tired(kat)) ∨ (¬WorkTeams(kat) ∧ ¬Tired(kat))']	Unknown	hyb
+356	950	Kat gets along with her colleagues at her work and receives negative feedback from teams at her work.	['If people work well in teams in their workplace, then they get along with all their colleagues at their work.', 'If people come to work every day with a positive attitude, then they work well in teams in their workplace.', 'People either come into work every day with a positive attitude or are always tired every morning.', 'If people get many promotions from their boss at work, then they receive negative feedback from teams at work.', 'Kat is either both a person who works well in teams in their workplace and is always tired every morning, or she neither works well in teams in their workplace nor is always tired every morning.']	['∀x (WorkTeams(x) → Colleagues(x))', '∀x (PositiveAttitude(x) → WorkTeams(x))', '∀x (PositiveAttitude(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → BossPromotions(x)))', '∀x (BossPromotions(x) → ¬NegativeFeedback(x))', '(WorkTeams(kat) ∧ Tired(kat)) ∨ (¬WorkTeams(kat) ∧ ¬Tired(kat))']	False	hyb
+356	951	Kat either gets along with her colleagues at her work or receives negative feedback from teams at her work.	['If people work well in teams in their workplace, then they get along with all their colleagues at their work.', 'If people come to work every day with a positive attitude, then they work well in teams in their workplace.', 'People either come into work every day with a positive attitude or are always tired every morning.', 'If people get many promotions from their boss at work, then they receive negative feedback from teams at work.', 'Kat is either both a person who works well in teams in their workplace and is always tired every morning, or she neither works well in teams in their workplace nor is always tired every morning.']	['∀x (WorkTeams(x) → Colleagues(x))', '∀x (PositiveAttitude(x) → WorkTeams(x))', '∀x (PositiveAttitude(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → BossPromotions(x)))', '∀x (BossPromotions(x) → ¬NegativeFeedback(x))', '(WorkTeams(kat) ∧ Tired(kat)) ∨ (¬WorkTeams(kat) ∧ ¬Tired(kat))']	True	hyb
 276	725	Drishti is free to modify.	['Drishti is open-source.', 'Open-source software is free to modify.']	['OpenSource(drishti)', '∀x (OpenSource(x) → ModifyFree(x))']	True	wiki
 161	464	Zhang's English score is lower than 95.	['There are five grades including A+, A, B+, B, and C in English.', 'If a student gets A+ in English, then his score is greater than 95.', 'If a student gets A in English, then his score is in the range of 90-95.', 'Zhang got an A in English.', "Wang's English score is better than Zhang's.", "Wu's English score is lower than 90."]	['Grade(a+) ∨ Grade(a) ∨ Grade(b+) ∨ Grade(b) ∨ Grade(c)', '∀x (GetGrade(x, a+) → GreaterThan95(x))', '∀x (GetGrade(x, a) → Range90to95(x))', 'GetGrade(zhang, a)', 'Better(wang, zhang)', 'LowerThan90(wu)']	True	wiki
 161	465	Wang got an A+ in English.	['There are five grades including A+, A, B+, B, and C in English.', 'If a student gets A+ in English, then his score is greater than 95.', 'If a student gets A in English, then his score is in the range of 90-95.', 'Zhang got an A in English.', "Wang's English score is better than Zhang's.", "Wu's English score is lower than 90."]	['Grade(a+) ∨ Grade(a) ∨ Grade(b+) ∨ Grade(b) ∨ Grade(c)', '∀x (GetGrade(x, a+) → GreaterThan95(x))', '∀x (GetGrade(x, a) → Range90to95(x))', 'GetGrade(zhang, a)', 'Better(wang, zhang)', 'LowerThan90(wu)']	Unknown	wiki
@@ -468,8 +468,8 @@ story_id	example_id	conclusion	premises	premises-FOL	label	source
 18	51	Miroslav Fiedler is honored by the second smallest eigenvalue of the graph Laplacian.	['Miroslav Fiedler was a Czech mathematician.', 'Miroslav Fiedler is known for his contributions to linear algebra and graph theory.', 'Miroslav Fiedler is honored by the Fiedler eigenvalue.', 'Fiedler eigenvalue is the second smallest eigenvalue of the graph Laplacian.']	['Czech(miroslavfiedler) ∧ Mathematician(miroslavfiedler)', 'KnownFor(miroslavfiedler, contributionsToLinearAlgebraAndGraphTheory)', 'HonoredBy(miroslavfiedler, fiedlerEigenvalue)', 'TheSecondSmallestEigenvalueOf(fiedlerEigenvalue, theGraphLaplacian)']	True	wiki
 18	52	Miroslav Fiedler was a French mathematician.	['Miroslav Fiedler was a Czech mathematician.', 'Miroslav Fiedler is known for his contributions to linear algebra and graph theory.', 'Miroslav Fiedler is honored by the Fiedler eigenvalue.', 'Fiedler eigenvalue is the second smallest eigenvalue of the graph Laplacian.']	['Czech(miroslavfiedler) ∧ Mathematician(miroslavfiedler)', 'KnownFor(miroslavfiedler, contributionsToLinearAlgebraAndGraphTheory)', 'HonoredBy(miroslavfiedler, fiedlerEigenvalue)', 'TheSecondSmallestEigenvalueOf(fiedlerEigenvalue, theGraphLaplacian)']	Unknown	wiki
 18	53	A Czech mathematician is known for his contributions to linear algebra and graph theory.	['Miroslav Fiedler was a Czech mathematician.', 'Miroslav Fiedler is known for his contributions to linear algebra and graph theory.', 'Miroslav Fiedler is honored by the Fiedler eigenvalue.', 'Fiedler eigenvalue is the second smallest eigenvalue of the graph Laplacian.']	['Czech(miroslavfiedler) ∧ Mathematician(miroslavfiedler)', 'KnownFor(miroslavfiedler, contributionsToLinearAlgebraAndGraphTheory)', 'HonoredBy(miroslavfiedler, fiedlerEigenvalue)', 'TheSecondSmallestEigenvalueOf(fiedlerEigenvalue, theGraphLaplacian)']	True	wiki
-153	446	You can play games on a laptop.	['A laptop is a computer.', 'You can play games on a computer.', 'A phone is not a computer.']	['∀x (Laptop(x) → Computer(x))', '∀x (Computer(x) → CanPlayGames(x))', '∀x (Phone(x) → ¬Computer(x))', '']	True	wiki
-153	447	You can not play games on a phone.	['A laptop is a computer.', 'You can play games on a computer.', 'A phone is not a computer.']	['∀x (Laptop(x) → Computer(x))', '∀x (Computer(x) → CanPlayGames(x))', '∀x (Phone(x) → ¬Computer(x))', '']	Unknown	wiki
+153	446	You can play games on a laptop.	['A laptop is a computer.', 'You can play games on a computer.', 'A phone is not a computer.']	['∀x (Laptop(x) → Computer(x))', '∀x (Computer(x) → CanPlayGames(x))', '∀x (Phone(x) → ¬Computer(x))']	True	wiki
+153	447	You can not play games on a phone.	['A laptop is a computer.', 'You can play games on a computer.', 'A phone is not a computer.']	['∀x (Laptop(x) → Computer(x))', '∀x (Computer(x) → CanPlayGames(x))', '∀x (Phone(x) → ¬Computer(x))']	Unknown	wiki
 11	29	Walter Folger Brown graduated with a Bachelors of Arts.	['Walter Folger Brown was an American politician and lawyer, and served as the postmaster general.', 'Walter Folger Brown graduated from Harvard University with a Bachelors of Arts.', "While they were both in Toledo, Walter Folger Brown's father practiced law with Walter Folger Brown.", 'Katherin Hafer married Walter Folger Brown.']	['AmericanPolitician(walterbrown) ∧ Lawyer(walterbrown) ∧ ServedAs(walterbrown, postamastergeneral)', 'Graduated(walterbrown, harvard) ∧ GraduatedWith(walterbrown, bachelorsofart)', 'In(walterbrown, toledo) ∧ In(walterbrownfather, toledo) ∧ PracticedLawTogether(walterbrownfather, walterbrown)', 'Married(ketherinhafer, walterbrown)']	True	wiki
 11	30	Walter Folger Brown's father was in Toledo.	['Walter Folger Brown was an American politician and lawyer, and served as the postmaster general.', 'Walter Folger Brown graduated from Harvard University with a Bachelors of Arts.', "While they were both in Toledo, Walter Folger Brown's father practiced law with Walter Folger Brown.", 'Katherin Hafer married Walter Folger Brown.']	['AmericanPolitician(walterbrown) ∧ Lawyer(walterbrown) ∧ ServedAs(walterbrown, postamastergeneral)', 'Graduated(walterbrown, harvard) ∧ GraduatedWith(walterbrown, bachelorsofart)', 'In(walterbrown, toledo) ∧ In(walterbrownfather, toledo) ∧ PracticedLawTogether(walterbrownfather, walterbrown)', 'Married(ketherinhafer, walterbrown)']	True	wiki
 11	31	Walter Folger Brown was not in Toledo.	['Walter Folger Brown was an American politician and lawyer, and served as the postmaster general.', 'Walter Folger Brown graduated from Harvard University with a Bachelors of Arts.', "While they were both in Toledo, Walter Folger Brown's father practiced law with Walter Folger Brown.", 'Katherin Hafer married Walter Folger Brown.']	['AmericanPolitician(walterbrown) ∧ Lawyer(walterbrown) ∧ ServedAs(walterbrown, postamastergeneral)', 'Graduated(walterbrown, harvard) ∧ GraduatedWith(walterbrown, bachelorsofart)', 'In(walterbrown, toledo) ∧ In(walterbrownfather, toledo) ∧ PracticedLawTogether(walterbrownfather, walterbrown)', 'Married(ketherinhafer, walterbrown)']	False	wiki
@@ -494,9 +494,9 @@ story_id	example_id	conclusion	premises	premises-FOL	label	source
 66	198	Skateboarding will appear at The 2028 Summer Olympics.	['If a city hold a Summer Olympics, and the city is a US city, then the Summer Olympics will be in the US.', 'If a city is in a state which is in US, the city is a US city.', 'If a city in a state, and a Summer Olympics is in this city, then the Summer Olympics is in this state.', 'The 2028 Summer Olympics is scheduled to take place in Los Angeles(LA).', 'LA is a city in California(CA).', 'Atlanta is a US city.', 'Atlanta is in Georgia(CA).', 'CA is a state in the United States.', 'Boxing, modern pentathlon, and weightlifting will be removed from The 2028 Summer Olympics.', 'Atlanta in the United States hold the 1996 Summer Olympics.']	['∀x ∀y (SummerOlympicsCity(x, y) ∧ CityInCountry(y, us) → SummerOlympicsCountry(x, us))', '∀x ∀y (CityInState(x, y) ∧ StateInCountry(y, us) → CityInCountry(x, us))', '∀x ∀y ∀z (CityInState(x, y) ∧ SummerOlympicsCity(z, x) → SummerOlympicsState(z, y))', 'SummerOlympicsCity(y2028, la)', 'CityInState(la, ca)', 'CityInCountry(atlanta, us)', 'StateInCountry(ca, us)', 'CityInState(atlanta, ga)', '¬InSummerOlympics(y2028, boxing) ∧ ¬InSummerOlympics(y2028, modern_pentathlon) ∧ ¬InSummerOlympics(y2028, weightlifting)', 'SummerOlympicsCity(y1996, atlanta)']	Unknown	wiki
 9	23	Cats like playing with taiga vole.	['The taiga vole is a large vole found in northwestern North America. ', 'Cats like playing with all voles.', 'The taiga vole lives in the boreal taiga zone.', 'The boreal taiga zone in North America is a cold place to live in.', 'Taiga vole is typically much larger than most other North American voles, especially those from the genus Microtus.']	['Vole(taigaVole) ∧ Find(taigaVole, northAmerica)', '∀x (Vole(x) → CatLikePlayingWith(x))', 'Live(taigaVole, borealTaigaZone)', '∀x (Find(x, northAmerica) ∧ Live(x, borealTaigaZone) → LiveInColdPlace(x))', 'Larger(taigaVole, microtusVole)']	True	wiki
 9	24	Taiga vole's living place is not cold.	['The taiga vole is a large vole found in northwestern North America. ', 'Cats like playing with all voles.', 'The taiga vole lives in the boreal taiga zone.', 'The boreal taiga zone in North America is a cold place to live in.', 'Taiga vole is typically much larger than most other North American voles, especially those from the genus Microtus.']	['Vole(taigaVole) ∧ Find(taigaVole, northAmerica)', '∀x (Vole(x) → CatLikePlayingWith(x))', 'Live(taigaVole, borealTaigaZone)', '∀x (Find(x, northAmerica) ∧ Live(x, borealTaigaZone) → LiveInColdPlace(x))', 'Larger(taigaVole, microtusVole)']	False	wiki
-389	1046	Adenocarcinoma is a breast cancer.	['Either in women or in men. ', 'No men have breast cancer.', 'Either breast cancer or non-breast cancer. ', 'No type of cancer is without a tumor.', 'All non-breast cancers are a type of cancer.', 'If adenocarcinoma is a type of cancer or without a tumor, then adenocarcinoma is in women or without a tumor.']	['∀x (Women(x) ∨ Men(x)) ', ' ∀x (Men(x) → ¬BreastCancer(x))', ' ∀x (BreastCancer (x) ∨ Non-BreastCancer(x)) ', ' ∀x (ATypeOfCancer(x) → ¬WithoutTumor (x)) ', ' ∀x (Non-BreastCancer(x) → ATypeOfCancer(x)) ', ' ATypeOfCancer(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma) → women(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma)']	Unknown	hyb
-389	1047	Adenocarcinoma is in women.	['Either in women or in men. ', 'No men have breast cancer.', 'Either breast cancer or non-breast cancer. ', 'No type of cancer is without a tumor.', 'All non-breast cancers are a type of cancer.', 'If adenocarcinoma is a type of cancer or without a tumor, then adenocarcinoma is in women or without a tumor.']	['∀x (Women(x) ∨ Men(x)) ', ' ∀x (Men(x) → ¬BreastCancer(x))', ' ∀x (BreastCancer (x) ∨ Non-BreastCancer(x)) ', ' ∀x (ATypeOfCancer(x) → ¬WithoutTumor (x)) ', ' ∀x (Non-BreastCancer(x) → ATypeOfCancer(x)) ', ' ATypeOfCancer(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma) → women(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma)']	True	hyb
-389	1048	If adenocarcinoma is in women or without a tumor, then adenocarcinoma is without a tumor and a non-breast cancer.	['Either in women or in men. ', 'No men have breast cancer.', 'Either breast cancer or non-breast cancer. ', 'No type of cancer is without a tumor.', 'All non-breast cancers are a type of cancer.', 'If adenocarcinoma is a type of cancer or without a tumor, then adenocarcinoma is in women or without a tumor.']	['∀x (Women(x) ∨ Men(x)) ', ' ∀x (Men(x) → ¬BreastCancer(x))', ' ∀x (BreastCancer (x) ∨ Non-BreastCancer(x)) ', ' ∀x (ATypeOfCancer(x) → ¬WithoutTumor (x)) ', ' ∀x (Non-BreastCancer(x) → ATypeOfCancer(x)) ', ' ATypeOfCancer(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma) → women(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma)']	False	hyb
+389	1046	Adenocarcinoma is a breast cancer.	['Either in women or in men. ', 'No men have breast cancer.', 'Either breast cancer or non-breast cancer. ', 'No type of cancer is without a tumor.', 'All non-breast cancers are a type of cancer.', 'If adenocarcinoma is a type of cancer or without a tumor, then adenocarcinoma is in women or without a tumor.']	['∀x (Women(x) ∨ Men(x)) ', ' ∀x (Men(x) → ¬BreastCancer(x))', ' ∀x (BreastCancer (x) ∨ Non-BreastCancer(x)) ', ' ∀x (ATypeOfCancer(x) → ¬WithoutTumor (x)) ', ' ∀x (Non-BreastCancer(x) → ATypeOfCancer(x)) ', ' ATypeOfCancer(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma) → Women(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma)']	Unknown	hyb
+389	1047	Adenocarcinoma is in women.	['Either in women or in men. ', 'No men have breast cancer.', 'Either breast cancer or non-breast cancer. ', 'No type of cancer is without a tumor.', 'All non-breast cancers are a type of cancer.', 'If adenocarcinoma is a type of cancer or without a tumor, then adenocarcinoma is in women or without a tumor.']	['∀x (Women(x) ∨ Men(x)) ', ' ∀x (Men(x) → ¬BreastCancer(x))', ' ∀x (BreastCancer (x) ∨ Non-BreastCancer(x)) ', ' ∀x (ATypeOfCancer(x) → ¬WithoutTumor (x)) ', ' ∀x (Non-BreastCancer(x) → ATypeOfCancer(x)) ', ' ATypeOfCancer(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma) → Women(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma)']	True	hyb
+389	1048	If adenocarcinoma is in women or without a tumor, then adenocarcinoma is without a tumor and a non-breast cancer.	['Either in women or in men. ', 'No men have breast cancer.', 'Either breast cancer or non-breast cancer. ', 'No type of cancer is without a tumor.', 'All non-breast cancers are a type of cancer.', 'If adenocarcinoma is a type of cancer or without a tumor, then adenocarcinoma is in women or without a tumor.']	['∀x (Women(x) ∨ Men(x)) ', ' ∀x (Men(x) → ¬BreastCancer(x))', ' ∀x (BreastCancer (x) ∨ Non-BreastCancer(x)) ', ' ∀x (ATypeOfCancer(x) → ¬WithoutTumor (x)) ', ' ∀x (Non-BreastCancer(x) → ATypeOfCancer(x)) ', ' ATypeOfCancer(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma) → Women(adenocarcinoma) ∨ WithoutTumor(adenocarcinoma)']	False	hyb
 59	175	LG34 machine is produced by AOC.	['Some monitors equipped in the lab are produced by the company named AOC. ', 'All monitors equipped in the lab are cheaper than their original prices. ', 'If the monitor is cheaper than its original prices, then its resolution is 1080p. ', 'If a monitor is with a resolution of 1080p, then it does not support the type-c port. ', 'LG34 is equipped in the lab.  ']	['∃x (Lab(x) ∧ AOC(x))', '∀x (Lab(x) → Cheaper(x))', '∀x (Cheaper(x) → A1080p(x))', '∀x (A1080p(x) → ¬TypeC(x))', 'Lab(lg-34)']	Unknown	wiki
 59	176	LG34 machine does not support the type-c port.	['Some monitors equipped in the lab are produced by the company named AOC. ', 'All monitors equipped in the lab are cheaper than their original prices. ', 'If the monitor is cheaper than its original prices, then its resolution is 1080p. ', 'If a monitor is with a resolution of 1080p, then it does not support the type-c port. ', 'LG34 is equipped in the lab.  ']	['∃x (Lab(x) ∧ AOC(x))', '∀x (Lab(x) → Cheaper(x))', '∀x (Cheaper(x) → A1080p(x))', '∀x (A1080p(x) → ¬TypeC(x))', 'Lab(lg-34)']	True	wiki
 59	177	LG34 is not with a resolution of 1080p.	['Some monitors equipped in the lab are produced by the company named AOC. ', 'All monitors equipped in the lab are cheaper than their original prices. ', 'If the monitor is cheaper than its original prices, then its resolution is 1080p. ', 'If a monitor is with a resolution of 1080p, then it does not support the type-c port. ', 'LG34 is equipped in the lab.  ']	['∃x (Lab(x) ∧ AOC(x))', '∀x (Lab(x) → Cheaper(x))', '∀x (Cheaper(x) → A1080p(x))', '∀x (A1080p(x) → ¬TypeC(x))', 'Lab(lg-34)']	False	wiki
@@ -577,9 +577,9 @@ story_id	example_id	conclusion	premises	premises-FOL	label	source
 479	1399	Grapes are not a food.	['No grass is food. ', 'All meadows are grass.', 'All edible things are food. ', 'All fruits are edible.', 'All lemons are fruit.', 'Grapes are not edible and lemons.', 'Bananas are grass or fruit.']	['∀x (Grass(x) → ¬Food(x))', '∀x (Meadow(x) → Grass(x))', '∀x (Edible(x) → Food(x))', '∀x (Fruit(x) → Edible(x))', '∀x (Lemon(x) → Fruit(x))', '¬(Edible(grape) ∧ Lemon(grape))', 'Grass(banana) ∨ Fruit(banana)']	Unknown	hyb
 479	1400	Bananas are a lemon and meadow.	['No grass is food. ', 'All meadows are grass.', 'All edible things are food. ', 'All fruits are edible.', 'All lemons are fruit.', 'Grapes are not edible and lemons.', 'Bananas are grass or fruit.']	['∀x (Grass(x) → ¬Food(x))', '∀x (Meadow(x) → Grass(x))', '∀x (Edible(x) → Food(x))', '∀x (Fruit(x) → Edible(x))', '∀x (Lemon(x) → Fruit(x))', '¬(Edible(grape) ∧ Lemon(grape))', 'Grass(banana) ∨ Fruit(banana)']	False	hyb
 479	1401	Bananas are not both a lemon and a meadow.	['No grass is food. ', 'All meadows are grass.', 'All edible things are food. ', 'All fruits are edible.', 'All lemons are fruit.', 'Grapes are not edible and lemons.', 'Bananas are grass or fruit.']	['∀x (Grass(x) → ¬Food(x))', '∀x (Meadow(x) → Grass(x))', '∀x (Edible(x) → Food(x))', '∀x (Fruit(x) → Edible(x))', '∀x (Lemon(x) → Fruit(x))', '¬(Edible(grape) ∧ Lemon(grape))', 'Grass(banana) ∨ Fruit(banana)']	True	hyb
-21	60	The Boston Celtics is from San Francisco.	['The Golden State Warriors are a team from San Francisco.', 'The Golden State Warriors won the NBA finals.', 'All teams attending the NBA finals have more than thirty years of history.', 'Boston Celtics are a team that lost the NBA finals.', 'If a team wins the NBA finals, then they will have more income.', 'If a team wins or loses at the NBA finals, then they are attending the finals.']	['Team(goldenstatewarriors) ∧ From(goldenstatewarriors, sanfrancisco)', 'Won(goldenstatewarriors, nbafinals)', '∀x (team(x) ∧ Attending(x, nbafinals) → HasMoreThan(x, thirtyyearsofhistory))', 'Team(bostonceltics) ∧ Lost(bostonceltics, nbafinals)', '∀x (Team(x) ∧ Won(x, nbafinals) → MoreIncome(x))', '∀x (Won(x, nbafinals) ∨ Lost(x, nbafinals) → Attending(x, nbafinals))']	Unknown	wiki
-21	61	The Boston Celtics has more than 30 years of experience.	['The Golden State Warriors are a team from San Francisco.', 'The Golden State Warriors won the NBA finals.', 'All teams attending the NBA finals have more than thirty years of history.', 'Boston Celtics are a team that lost the NBA finals.', 'If a team wins the NBA finals, then they will have more income.', 'If a team wins or loses at the NBA finals, then they are attending the finals.']	['Team(goldenstatewarriors) ∧ From(goldenstatewarriors, sanfrancisco)', 'Won(goldenstatewarriors, nbafinals)', '∀x (team(x) ∧ Attending(x, nbafinals) → HasMoreThan(x, thirtyyearsofhistory))', 'Team(bostonceltics) ∧ Lost(bostonceltics, nbafinals)', '∀x (Team(x) ∧ Won(x, nbafinals) → MoreIncome(x))', '∀x (Won(x, nbafinals) ∨ Lost(x, nbafinals) → Attending(x, nbafinals))']	True	wiki
-21	62	The Golden State Warriors will have more income for gate receipts.	['The Golden State Warriors are a team from San Francisco.', 'The Golden State Warriors won the NBA finals.', 'All teams attending the NBA finals have more than thirty years of history.', 'Boston Celtics are a team that lost the NBA finals.', 'If a team wins the NBA finals, then they will have more income.', 'If a team wins or loses at the NBA finals, then they are attending the finals.']	['Team(goldenstatewarriors) ∧ From(goldenstatewarriors, sanfrancisco)', 'Won(goldenstatewarriors, nbafinals)', '∀x (team(x) ∧ Attending(x, nbafinals) → HasMoreThan(x, thirtyyearsofhistory))', 'Team(bostonceltics) ∧ Lost(bostonceltics, nbafinals)', '∀x (Team(x) ∧ Won(x, nbafinals) → MoreIncome(x))', '∀x (Won(x, nbafinals) ∨ Lost(x, nbafinals) → Attending(x, nbafinals))']	True	wiki
+21	60	The Boston Celtics is from San Francisco.	['The Golden State Warriors are a team from San Francisco.', 'The Golden State Warriors won the NBA finals.', 'All teams attending the NBA finals have more than thirty years of history.', 'Boston Celtics are a team that lost the NBA finals.', 'If a team wins the NBA finals, then they will have more income.', 'If a team wins or loses at the NBA finals, then they are attending the finals.']	['Team(goldenstatewarriors) ∧ From(goldenstatewarriors, sanfrancisco)', 'Won(goldenstatewarriors, nbafinals)', '∀x (Team(x) ∧ Attending(x, nbafinals) → HasMoreThan(x, thirtyyearsofhistory))', 'Team(bostonceltics) ∧ Lost(bostonceltics, nbafinals)', '∀x (Team(x) ∧ Won(x, nbafinals) → MoreIncome(x))', '∀x (Won(x, nbafinals) ∨ Lost(x, nbafinals) → Attending(x, nbafinals))']	Unknown	wiki
+21	61	The Boston Celtics has more than 30 years of experience.	['The Golden State Warriors are a team from San Francisco.', 'The Golden State Warriors won the NBA finals.', 'All teams attending the NBA finals have more than thirty years of history.', 'Boston Celtics are a team that lost the NBA finals.', 'If a team wins the NBA finals, then they will have more income.', 'If a team wins or loses at the NBA finals, then they are attending the finals.']	['Team(goldenstatewarriors) ∧ From(goldenstatewarriors, sanfrancisco)', 'Won(goldenstatewarriors, nbafinals)', '∀x (Team(x) ∧ Attending(x, nbafinals) → HasMoreThan(x, thirtyyearsofhistory))', 'Team(bostonceltics) ∧ Lost(bostonceltics, nbafinals)', '∀x (Team(x) ∧ Won(x, nbafinals) → MoreIncome(x))', '∀x (Won(x, nbafinals) ∨ Lost(x, nbafinals) → Attending(x, nbafinals))']	True	wiki
+21	62	The Golden State Warriors will have more income for gate receipts.	['The Golden State Warriors are a team from San Francisco.', 'The Golden State Warriors won the NBA finals.', 'All teams attending the NBA finals have more than thirty years of history.', 'Boston Celtics are a team that lost the NBA finals.', 'If a team wins the NBA finals, then they will have more income.', 'If a team wins or loses at the NBA finals, then they are attending the finals.']	['Team(goldenstatewarriors) ∧ From(goldenstatewarriors, sanfrancisco)', 'Won(goldenstatewarriors, nbafinals)', '∀x (Team(x) ∧ Attending(x, nbafinals) → HasMoreThan(x, thirtyyearsofhistory))', 'Team(bostonceltics) ∧ Lost(bostonceltics, nbafinals)', '∀x (Team(x) ∧ Won(x, nbafinals) → MoreIncome(x))', '∀x (Won(x, nbafinals) ∨ Lost(x, nbafinals) → Attending(x, nbafinals))']	True	wiki
 218	624	Maya will not play violin.	['Maya will play violin if and only if she never injures her fingers.', 'Volleyball players can injure their ankle, fingers, or shoulder.', 'Maya is a volleyball player.']	['CanInjureFingures(maya) → ¬WillPlayViolin(maya)', '∀x (VolleyballPlayer(x) → CanInjureFingures(x))', 'VolleyballPlayer(maya)']	True	wiki
 428	1220	IPod1 is controlled by managers.	['All devices belonging to the company are connected to Google Home. ', 'All devices with the company logo belong to the company. ', 'A device is either with the company logo or belongs to employees. ', "All devices belonging to employees are available to connect to the company's wifi. ", 'All devices connected to Google Home are controlled by managers. ', "All devices that connect to the company's wifi are easy to operate. ", 'All devices that are easy to operate are produced after 2020. ', 'IPod1 is produced before 2020. ']	['∀x (InCompany(x) → GoogleHome(x))', '∀x (CompanyLogo(x) → InCompany(x))', '∀x (CompanyLogo(x) ∨ Employee(x))', '∀x (Employee(x) → Wifi(x))', '∀x (GoogleHome(x) → ControlledByManager(x))', '∀x (Wifi(x) → EasyToOperate(x))', '∀x (EasyToOperate(x) → ProducedAfter2020(x))', '¬ProducedAfter2020(iPod1)']	True	hyb
 428	1221	IPod1 is either produced after 2020 or controlled by managers.	['All devices belonging to the company are connected to Google Home. ', 'All devices with the company logo belong to the company. ', 'A device is either with the company logo or belongs to employees. ', "All devices belonging to employees are available to connect to the company's wifi. ", 'All devices connected to Google Home are controlled by managers. ', "All devices that connect to the company's wifi are easy to operate. ", 'All devices that are easy to operate are produced after 2020. ', 'IPod1 is produced before 2020. ']	['∀x (InCompany(x) → GoogleHome(x))', '∀x (CompanyLogo(x) → InCompany(x))', '∀x (CompanyLogo(x) ∨ Employee(x))', '∀x (Employee(x) → Wifi(x))', '∀x (GoogleHome(x) → ControlledByManager(x))', '∀x (Wifi(x) → EasyToOperate(x))', '∀x (EasyToOperate(x) → ProducedAfter2020(x))', '¬ProducedAfter2020(iPod1)']	True	hyb
@@ -600,9 +600,9 @@ story_id	example_id	conclusion	premises	premises-FOL	label	source
 39	114	"Your Woman" was extremely popular.	['"Your Woman" is a song by British one-man band White Town.', '"Your Woman" song peaked at No. 1 on the UK Singles Chart.', 'If a song peaked at No.1 at a cetain place, then it was extremely popular.', '"Your Woman" also peaked No. 1 in Iceland, Israel and Spain.']	['Produce(whiteTown, yourWoman)', 'Peak(yourWoman, uKSinglesChart)', '∀x ∀y (Peak(x, y) → Popular(x))', 'Peak(yourWoman, iceland) ∧ Peak(yourWoman, isarel) ∧ Peak(yourWoman, spain)']	True	wiki
 39	115	White Town did not produce any popular song.	['"Your Woman" is a song by British one-man band White Town.', '"Your Woman" song peaked at No. 1 on the UK Singles Chart.', 'If a song peaked at No.1 at a cetain place, then it was extremely popular.', '"Your Woman" also peaked No. 1 in Iceland, Israel and Spain.']	['Produce(whiteTown, yourWoman)', 'Peak(yourWoman, uKSinglesChart)', '∀x ∀y (Peak(x, y) → Popular(x))', 'Peak(yourWoman, iceland) ∧ Peak(yourWoman, isarel) ∧ Peak(yourWoman, spain)']	False	wiki
 39	116	White Town was a successful band.	['"Your Woman" is a song by British one-man band White Town.', '"Your Woman" song peaked at No. 1 on the UK Singles Chart.', 'If a song peaked at No.1 at a cetain place, then it was extremely popular.', '"Your Woman" also peaked No. 1 in Iceland, Israel and Spain.']	['Produce(whiteTown, yourWoman)', 'Peak(yourWoman, uKSinglesChart)', '∀x ∀y (Peak(x, y) → Popular(x))', 'Peak(yourWoman, iceland) ∧ Peak(yourWoman, isarel) ∧ Peak(yourWoman, spain)']	Unknown	wiki
-374	1001	Mark limps often and regularly.	['All people who limp often and regularly have long-term medical issues with underlying causes.', 'If people have long-term medical issues with underlying causes, then they are not often spry and energetic.', 'People either stay indoors and rest a lot at home or people are often tired and disinterested in their activities.', 'If people stay indoors and rest a lot at home, then they do not visit the gym at least once a day.', 'If Mark either limps often and regularly or is often spry and energetic, then Mark limps often and regularly or is often tired and disinterested in his activities.']	['∀x (Limp(x) → Medical(x))', '∀x (Medical(x) → ¬Spry(x))', '∀x (Spry(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → Indoors(x)))', '∀x (Indoors(x) → ¬Gym(x))', '(Limp(Mark) ⊕ Spry(Mark)) → Limp(Mark) ∨ Tired(Mark)']	Unknown	hyb
-374	1002	Mark visits the gym at least once a day.	['All people who limp often and regularly have long-term medical issues with underlying causes.', 'If people have long-term medical issues with underlying causes, then they are not often spry and energetic.', 'People either stay indoors and rest a lot at home or people are often tired and disinterested in their activities.', 'If people stay indoors and rest a lot at home, then they do not visit the gym at least once a day.', 'If Mark either limps often and regularly or is often spry and energetic, then Mark limps often and regularly or is often tired and disinterested in his activities.']	['∀x (Limp(x) → Medical(x))', '∀x (Medical(x) → ¬Spry(x))', '∀x (Spry(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → Indoors(x)))', '∀x (Indoors(x) → ¬Gym(x))', '(Limp(Mark) ⊕ Spry(Mark)) → Limp(Mark) ∨ Tired(Mark)']	False	hyb
-374	1003	Mark stays indoors and rests regularly at his home or visits the gym at least once a day.	['All people who limp often and regularly have long-term medical issues with underlying causes.', 'If people have long-term medical issues with underlying causes, then they are not often spry and energetic.', 'People either stay indoors and rest a lot at home or people are often tired and disinterested in their activities.', 'If people stay indoors and rest a lot at home, then they do not visit the gym at least once a day.', 'If Mark either limps often and regularly or is often spry and energetic, then Mark limps often and regularly or is often tired and disinterested in his activities.']	['∀x (Limp(x) → Medical(x))', '∀x (Medical(x) → ¬Spry(x))', '∀x (Spry(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → Indoors(x)))', '∀x (Indoors(x) → ¬Gym(x))', '(Limp(Mark) ⊕ Spry(Mark)) → Limp(Mark) ∨ Tired(Mark)']	True	hyb
+374	1001	Mark limps often and regularly.	['All people who limp often and regularly have long-term medical issues with underlying causes.', 'If people have long-term medical issues with underlying causes, then they are not often spry and energetic.', 'People either stay indoors and rest a lot at home or people are often tired and disinterested in their activities.', 'If people stay indoors and rest a lot at home, then they do not visit the gym at least once a day.', 'If Mark either limps often and regularly or is often spry and energetic, then Mark limps often and regularly or is often tired and disinterested in his activities.']	['∀x (Limp(x) → Medical(x))', '∀x (Medical(x) → ¬Spry(x))', '∀x (Spry(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → Indoors(x)))', '∀x (Indoors(x) → ¬Gym(x))', '(Limp(mark) ⊕ Spry(mark)) → Limp(mark) ∨ Tired(mark)']	Unknown	hyb
+374	1002	Mark visits the gym at least once a day.	['All people who limp often and regularly have long-term medical issues with underlying causes.', 'If people have long-term medical issues with underlying causes, then they are not often spry and energetic.', 'People either stay indoors and rest a lot at home or people are often tired and disinterested in their activities.', 'If people stay indoors and rest a lot at home, then they do not visit the gym at least once a day.', 'If Mark either limps often and regularly or is often spry and energetic, then Mark limps often and regularly or is often tired and disinterested in his activities.']	['∀x (Limp(x) → Medical(x))', '∀x (Medical(x) → ¬Spry(x))', '∀x (Spry(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → Indoors(x)))', '∀x (Indoors(x) → ¬Gym(x))', '(Limp(mark) ⊕ Spry(mark)) → Limp(mark) ∨ Tired(mark)']	False	hyb
+374	1003	Mark stays indoors and rests regularly at his home or visits the gym at least once a day.	['All people who limp often and regularly have long-term medical issues with underlying causes.', 'If people have long-term medical issues with underlying causes, then they are not often spry and energetic.', 'People either stay indoors and rest a lot at home or people are often tired and disinterested in their activities.', 'If people stay indoors and rest a lot at home, then they do not visit the gym at least once a day.', 'If Mark either limps often and regularly or is often spry and energetic, then Mark limps often and regularly or is often tired and disinterested in his activities.']	['∀x (Limp(x) → Medical(x))', '∀x (Medical(x) → ¬Spry(x))', '∀x (Spry(x) ⊕ Tired(x)) ∧ (∀x (Tired(x) → Indoors(x)))', '∀x (Indoors(x) → ¬Gym(x))', '(Limp(mark) ⊕ Spry(mark)) → Limp(mark) ∨ Tired(mark)']	True	hyb
 188	543	Real Madrid and Atlético Madrid needed to play a penalty shoot-out in 2016 UCL final.	['If two soccer teams score the same number of goals in one UCL final during the regular time, they need to play for the extra time.', 'If two soccer teams score the same number of goals in one UCL final during both the regular time and extra time, they need to play the penalty shoot-out.', 'Real Madrid and Atlético Madrid both scored one goal in 2016 UCL final during the regular time.', 'Real Madrid and Atlético Madrid both scored zero goals in 2016 UCL final during the extra time.']	['∀x ∀y (SoccerTeam(x) ∧ SoccerTeam(y) ∧ SameScore(x, y) ∧ During(regularTime) → PlayExtra(x, y))', '∀x ∀y (SoccerTeam(x) ∧ SoccerTeam(y) ∧ SameScore(x, y) ∧ During(regularTime) ∧ During(extraTime) → PlayPenalty(x, y))', 'SoccerTeam(realMadrid) ∧ SoccerTeam(atleticoMadrid) ∧ SameScore(realMadrid, atleticoMadrid) ∧ During(regularTime)', 'SoccerTeam(realMadrid) ∧ SoccerTeam(atleticoMadrid) ∧ SameScore(realMadrid, atleticoMadrid) ∧ During(extraTime)']	True	wiki
 188	544	Real Madrid and Atlético Madrid did not need to play a penalty shoot-out in 2016 UCL final.	['If two soccer teams score the same number of goals in one UCL final during the regular time, they need to play for the extra time.', 'If two soccer teams score the same number of goals in one UCL final during both the regular time and extra time, they need to play the penalty shoot-out.', 'Real Madrid and Atlético Madrid both scored one goal in 2016 UCL final during the regular time.', 'Real Madrid and Atlético Madrid both scored zero goals in 2016 UCL final during the extra time.']	['∀x ∀y (SoccerTeam(x) ∧ SoccerTeam(y) ∧ SameScore(x, y) ∧ During(regularTime) → PlayExtra(x, y))', '∀x ∀y (SoccerTeam(x) ∧ SoccerTeam(y) ∧ SameScore(x, y) ∧ During(regularTime) ∧ During(extraTime) → PlayPenalty(x, y))', 'SoccerTeam(realMadrid) ∧ SoccerTeam(atleticoMadrid) ∧ SameScore(realMadrid, atleticoMadrid) ∧ During(regularTime)', 'SoccerTeam(realMadrid) ∧ SoccerTeam(atleticoMadrid) ∧ SameScore(realMadrid, atleticoMadrid) ∧ During(extraTime)']	False	wiki
 13	35	System 7 was formed by former members of Gong.	['System 7 is a UK-based electronic dance music band.', 'Steve Hillage and Miquette Giraudy formed System 7.', 'Steve Hillage and Miquette Giraudy are former members of the band Gong.', 'Electric dance music bands are bands.', 'System 7 has released several club singles.', 'Club singles are not singles.']	['BasedOn(system7, uk) ∧ ElectronicDanceMusicBand(system7)', 'Formed(stevehillage, system7) ∧ Formed(miquettegiraudy, system7)', 'FormerMemberOf(stevehillage, gong) ∧ FormerMemberOf(miquettegiraudy, gong)', '∀x (ElectronicDanceMusicBand(x) → Band(x))', '∃x (ClubSingle(x) ∧ Released(system7, x))', '∀x (ClubSingle(x) → ¬Single(x))']	True	wiki
@@ -610,12 +610,12 @@ story_id	example_id	conclusion	premises	premises-FOL	label	source
 13	37	System 7 is not a band.	['System 7 is a UK-based electronic dance music band.', 'Steve Hillage and Miquette Giraudy formed System 7.', 'Steve Hillage and Miquette Giraudy are former members of the band Gong.', 'Electric dance music bands are bands.', 'System 7 has released several club singles.', 'Club singles are not singles.']	['BasedOn(system7, uk) ∧ ElectronicDanceMusicBand(system7)', 'Formed(stevehillage, system7) ∧ Formed(miquettegiraudy, system7)', 'FormerMemberOf(stevehillage, gong) ∧ FormerMemberOf(miquettegiraudy, gong)', '∀x (ElectronicDanceMusicBand(x) → Band(x))', '∃x (ClubSingle(x) ∧ Released(system7, x))', '∀x (ClubSingle(x) → ¬Single(x))']	False	wiki
 189	545	Extractive models are always faithful.	['A summarization model is always faithful if it uses content from the input documents.', 'Extractive models are a kind of summarization models.', 'Extractive model can only use content from the input documents.']	['∀x (Model(x) ∧ Summarization(x) ∧ OnlyUseInputDocument(x) → Faithful(x))', '∀x (Model(x) ∧ Extractive(x) → Summarization(x))', '∀x (Model(x) ∧ Extractive(x) → OnlyUseInputDocument(x))']	True	wiki
 189	546	Extractive models are not always faithful.	['A summarization model is always faithful if it uses content from the input documents.', 'Extractive models are a kind of summarization models.', 'Extractive model can only use content from the input documents.']	['∀x (Model(x) ∧ Summarization(x) ∧ OnlyUseInputDocument(x) → Faithful(x))', '∀x (Model(x) ∧ Extractive(x) → Summarization(x))', '∀x (Model(x) ∧ Extractive(x) → OnlyUseInputDocument(x))']	False	wiki
-370	989	Robin is a person who studies hard.	['If people practice coding questions, then they are not studying to go to medical school to become a doctor.', 'If people want to work in the software engineering industry, then they practice coding questions.', 'If people enjoy healthcare fields and want to help people with medical issues, then they are studying to go to medical school to become a doctor.', 'If people grew up with parents who worked as doctors, then they enjoy healthcare fields and want to help people with medical issues.', 'If people study hard, then they grew up with parents who worked as doctors.', 'If Robin neither enjoys healthcare fields and wants to help people with medical issues nor grew up with parents who worked as doctors, then Robin is either a person who studies hard or grew up with parents who worked as doctors.']	['∀x Coding(x) → ¬StudyingToBeDoctor(x)', '∀x Industry(x) → Coding(x)', '∀x Healthcare(x) → StudyingToBeDoctor(x)', '∀x ParentDoctors(x) → Healthcare(x)', '∀x Study(x) → ParentDoctors(x)', '¬(Healthcare(Robin) ∨ ParentDoctors(Robin)) → (Study(Robin) ∨ ParentDoctors(Robin)) ']	Unknown	hyb
-370	990	Robin practices coding questions and wants to work in the software engineering industry.	['If people practice coding questions, then they are not studying to go to medical school to become a doctor.', 'If people want to work in the software engineering industry, then they practice coding questions.', 'If people enjoy healthcare fields and want to help people with medical issues, then they are studying to go to medical school to become a doctor.', 'If people grew up with parents who worked as doctors, then they enjoy healthcare fields and want to help people with medical issues.', 'If people study hard, then they grew up with parents who worked as doctors.', 'If Robin neither enjoys healthcare fields and wants to help people with medical issues nor grew up with parents who worked as doctors, then Robin is either a person who studies hard or grew up with parents who worked as doctors.']	['∀x Coding(x) → ¬StudyingToBeDoctor(x)', '∀x Industry(x) → Coding(x)', '∀x Healthcare(x) → StudyingToBeDoctor(x)', '∀x ParentDoctors(x) → Healthcare(x)', '∀x Study(x) → ParentDoctors(x)', '¬(Healthcare(Robin) ∨ ParentDoctors(Robin)) → (Study(Robin) ∨ ParentDoctors(Robin)) ']	False	hyb
-370	991	Robin neither practices coding questions nor works to work in the software engineering industry.	['If people practice coding questions, then they are not studying to go to medical school to become a doctor.', 'If people want to work in the software engineering industry, then they practice coding questions.', 'If people enjoy healthcare fields and want to help people with medical issues, then they are studying to go to medical school to become a doctor.', 'If people grew up with parents who worked as doctors, then they enjoy healthcare fields and want to help people with medical issues.', 'If people study hard, then they grew up with parents who worked as doctors.', 'If Robin neither enjoys healthcare fields and wants to help people with medical issues nor grew up with parents who worked as doctors, then Robin is either a person who studies hard or grew up with parents who worked as doctors.']	['∀x Coding(x) → ¬StudyingToBeDoctor(x)', '∀x Industry(x) → Coding(x)', '∀x Healthcare(x) → StudyingToBeDoctor(x)', '∀x ParentDoctors(x) → Healthcare(x)', '∀x Study(x) → ParentDoctors(x)', '¬(Healthcare(Robin) ∨ ParentDoctors(Robin)) → (Study(Robin) ∨ ParentDoctors(Robin)) ']	True	hyb
-383	1028	Jess frivolously spends a lot of money every time they go out.	['If people go to the spa at least once a week, then they are not people who are miserly and need to save a large portion of their income.', 'People are either miserly and need to save a large portion of their income, or people that frivolously spend a lot of money every time they go out.', 'If people frivolously spend a lot of money every time they go out, then they value quality manufacturing and luxury items.', 'If people value quality manufacturing and luxury items, then they enjoy shopping for materialistic items in their free time.', 'If Jess is not miserly and needs to save a large portion of their income, then Jess does not value quality manufacturing and luxury items.', 'If Jess either values quality manufacturing and luxury items or, if he does not, then he is miserly and needs to save a large portion of his income, then Jess frivolously spends a lot of money every time he goes out.']	['∀x Spa(x) → ¬Miserly(x)', '∀x Miserly(x) ∨ Frivolous(x)', '∀x Frivolous(x) → Luxury(x)', '∀x Luxury(x) → Shopping(x)', '¬Miserly(Jess) → ¬Luxury(Jess)', 'Luxury(Jess) ⊕ Miserly(Jess)) →  Luxury(Jess)']	Unknown	hyb
-383	1029	Jess either enjoys shopping for materialistic items in his free time or, if he does not, then he goes to the spa at least once a week.	['If people go to the spa at least once a week, then they are not people who are miserly and need to save a large portion of their income.', 'People are either miserly and need to save a large portion of their income, or people that frivolously spend a lot of money every time they go out.', 'If people frivolously spend a lot of money every time they go out, then they value quality manufacturing and luxury items.', 'If people value quality manufacturing and luxury items, then they enjoy shopping for materialistic items in their free time.', 'If Jess is not miserly and needs to save a large portion of their income, then Jess does not value quality manufacturing and luxury items.', 'If Jess either values quality manufacturing and luxury items or, if he does not, then he is miserly and needs to save a large portion of his income, then Jess frivolously spends a lot of money every time he goes out.']	['∀x Spa(x) → ¬Miserly(x)', '∀x Miserly(x) ∨ Frivolous(x)', '∀x Frivolous(x) → Luxury(x)', '∀x Luxury(x) → Shopping(x)', '¬Miserly(Jess) → ¬Luxury(Jess)', 'Luxury(Jess) ⊕ Miserly(Jess)) →  Luxury(Jess)']	True	hyb
-383	1030	If Jess either enjoys shopping for materialistic items in his free time or, if he does not, then he goes to the spa at least once a week, then Jess neither values quality manufacturing and luxury items nor goes to the spa at least once a week.	['If people go to the spa at least once a week, then they are not people who are miserly and need to save a large portion of their income.', 'People are either miserly and need to save a large portion of their income, or people that frivolously spend a lot of money every time they go out.', 'If people frivolously spend a lot of money every time they go out, then they value quality manufacturing and luxury items.', 'If people value quality manufacturing and luxury items, then they enjoy shopping for materialistic items in their free time.', 'If Jess is not miserly and needs to save a large portion of their income, then Jess does not value quality manufacturing and luxury items.', 'If Jess either values quality manufacturing and luxury items or, if he does not, then he is miserly and needs to save a large portion of his income, then Jess frivolously spends a lot of money every time he goes out.']	['∀x Spa(x) → ¬Miserly(x)', '∀x Miserly(x) ∨ Frivolous(x)', '∀x Frivolous(x) → Luxury(x)', '∀x Luxury(x) → Shopping(x)', '¬Miserly(Jess) → ¬Luxury(Jess)', 'Luxury(Jess) ⊕ Miserly(Jess)) →  Luxury(Jess)']	False	hyb
+370	989	Robin is a person who studies hard.	['If people practice coding questions, then they are not studying to go to medical school to become a doctor.', 'If people want to work in the software engineering industry, then they practice coding questions.', 'If people enjoy healthcare fields and want to help people with medical issues, then they are studying to go to medical school to become a doctor.', 'If people grew up with parents who worked as doctors, then they enjoy healthcare fields and want to help people with medical issues.', 'If people study hard, then they grew up with parents who worked as doctors.', 'If Robin neither enjoys healthcare fields and wants to help people with medical issues nor grew up with parents who worked as doctors, then Robin is either a person who studies hard or grew up with parents who worked as doctors.']	['∀x Coding(x) → ¬StudyingToBeDoctor(x)', '∀x Industry(x) → Coding(x)', '∀x Healthcare(x) → StudyingToBeDoctor(x)', '∀x ParentDoctors(x) → Healthcare(x)', '∀x Study(x) → ParentDoctors(x)', '¬(Healthcare(robin) ∨ ParentDoctors(robin)) → (Study(robin) ∨ ParentDoctors(robin)) ']	Unknown	hyb
+370	990	Robin practices coding questions and wants to work in the software engineering industry.	['If people practice coding questions, then they are not studying to go to medical school to become a doctor.', 'If people want to work in the software engineering industry, then they practice coding questions.', 'If people enjoy healthcare fields and want to help people with medical issues, then they are studying to go to medical school to become a doctor.', 'If people grew up with parents who worked as doctors, then they enjoy healthcare fields and want to help people with medical issues.', 'If people study hard, then they grew up with parents who worked as doctors.', 'If Robin neither enjoys healthcare fields and wants to help people with medical issues nor grew up with parents who worked as doctors, then Robin is either a person who studies hard or grew up with parents who worked as doctors.']	['∀x Coding(x) → ¬StudyingToBeDoctor(x)', '∀x Industry(x) → Coding(x)', '∀x Healthcare(x) → StudyingToBeDoctor(x)', '∀x ParentDoctors(x) → Healthcare(x)', '∀x Study(x) → ParentDoctors(x)', '¬(Healthcare(robin) ∨ ParentDoctors(robin)) → (Study(robin) ∨ ParentDoctors(robin)) ']	False	hyb
+370	991	Robin neither practices coding questions nor works to work in the software engineering industry.	['If people practice coding questions, then they are not studying to go to medical school to become a doctor.', 'If people want to work in the software engineering industry, then they practice coding questions.', 'If people enjoy healthcare fields and want to help people with medical issues, then they are studying to go to medical school to become a doctor.', 'If people grew up with parents who worked as doctors, then they enjoy healthcare fields and want to help people with medical issues.', 'If people study hard, then they grew up with parents who worked as doctors.', 'If Robin neither enjoys healthcare fields and wants to help people with medical issues nor grew up with parents who worked as doctors, then Robin is either a person who studies hard or grew up with parents who worked as doctors.']	['∀x Coding(x) → ¬StudyingToBeDoctor(x)', '∀x Industry(x) → Coding(x)', '∀x Healthcare(x) → StudyingToBeDoctor(x)', '∀x ParentDoctors(x) → Healthcare(x)', '∀x Study(x) → ParentDoctors(x)', '¬(Healthcare(robin) ∨ ParentDoctors(robin)) → (Study(robin) ∨ ParentDoctors(robin)) ']	True	hyb
+383	1028	Jess frivolously spends a lot of money every time they go out.	['If people go to the spa at least once a week, then they are not people who are miserly and need to save a large portion of their income.', 'People are either miserly and need to save a large portion of their income, or people that frivolously spend a lot of money every time they go out.', 'If people frivolously spend a lot of money every time they go out, then they value quality manufacturing and luxury items.', 'If people value quality manufacturing and luxury items, then they enjoy shopping for materialistic items in their free time.', 'If Jess is not miserly and needs to save a large portion of their income, then Jess does not value quality manufacturing and luxury items.', 'If Jess either values quality manufacturing and luxury items or, if he does not, then he is miserly and needs to save a large portion of his income, then Jess frivolously spends a lot of money every time he goes out.']	['∀x Spa(x) → ¬Miserly(x)', '∀x Miserly(x) ∨ Frivolous(x)', '∀x Frivolous(x) → Luxury(x)', '∀x Luxury(x) → Shopping(x)', '¬Miserly(jess) → ¬Luxury(jess)', '(Luxury(jess) ⊕ Miserly(jess)) →  Luxury(jess)']	Unknown	hyb
+383	1029	Jess either enjoys shopping for materialistic items in his free time or, if he does not, then he goes to the spa at least once a week.	['If people go to the spa at least once a week, then they are not people who are miserly and need to save a large portion of their income.', 'People are either miserly and need to save a large portion of their income, or people that frivolously spend a lot of money every time they go out.', 'If people frivolously spend a lot of money every time they go out, then they value quality manufacturing and luxury items.', 'If people value quality manufacturing and luxury items, then they enjoy shopping for materialistic items in their free time.', 'If Jess is not miserly and needs to save a large portion of their income, then Jess does not value quality manufacturing and luxury items.', 'If Jess either values quality manufacturing and luxury items or, if he does not, then he is miserly and needs to save a large portion of his income, then Jess frivolously spends a lot of money every time he goes out.']	['∀x Spa(x) → ¬Miserly(x)', '∀x Miserly(x) ∨ Frivolous(x)', '∀x Frivolous(x) → Luxury(x)', '∀x Luxury(x) → Shopping(x)', '¬Miserly(jess) → ¬Luxury(jess)', '(Luxury(jess) ⊕ Miserly(jess)) →  Luxury(jess)']	True	hyb
+383	1030	If Jess either enjoys shopping for materialistic items in his free time or, if he does not, then he goes to the spa at least once a week, then Jess neither values quality manufacturing and luxury items nor goes to the spa at least once a week.	['If people go to the spa at least once a week, then they are not people who are miserly and need to save a large portion of their income.', 'People are either miserly and need to save a large portion of their income, or people that frivolously spend a lot of money every time they go out.', 'If people frivolously spend a lot of money every time they go out, then they value quality manufacturing and luxury items.', 'If people value quality manufacturing and luxury items, then they enjoy shopping for materialistic items in their free time.', 'If Jess is not miserly and needs to save a large portion of their income, then Jess does not value quality manufacturing and luxury items.', 'If Jess either values quality manufacturing and luxury items or, if he does not, then he is miserly and needs to save a large portion of his income, then Jess frivolously spends a lot of money every time he goes out.']	['∀x Spa(x) → ¬Miserly(x)', '∀x Miserly(x) ∨ Frivolous(x)', '∀x Frivolous(x) → Luxury(x)', '∀x Luxury(x) → Shopping(x)', '¬Miserly(jess) → ¬Luxury(jess)', '(Luxury(jess) ⊕ Miserly(jess)) →  Luxury(jess)']	False	hyb
 220	628	The album "Wolfgang Amadeus Phoenix" is a certified gold album.	['The indie pop band Phoenix has released 6 albums. ', 'Phoenix\'s album "Wolfgang Amadeus Phoenix" sold over 500,000 copies. ', 'A certified gold album or single is one which sold over half a million copies. ', '"1901" is a single from Phoenix\'s album "Wolfgang Amadeus Phoenix."', 'Over 400,000 copies of "1901" have been sold. ']	['AlbumsReleased(phoenix, l6)', 'Album(wolfgangamadeusphoenix) ∧ IsAlbumOf(wolfgangamadeusphoenix, phoenix) ∧ SoldOver(wolfgangamadeusphoenix, l500000)', '∀x ((Album(x) ∨ Single(x)) ∧ SoldOver(x, l500000) → CertifiedGold(x))', 'Single(l1901) ∧ From(l1901, wolfgangamadeusphoenix) ∧ By(l1901, phoenix)', 'SoldOver(l1901, l400000)']	True	wiki
 220	629	The single "1901" is a certified gold single.	['The indie pop band Phoenix has released 6 albums. ', 'Phoenix\'s album "Wolfgang Amadeus Phoenix" sold over 500,000 copies. ', 'A certified gold album or single is one which sold over half a million copies. ', '"1901" is a single from Phoenix\'s album "Wolfgang Amadeus Phoenix."', 'Over 400,000 copies of "1901" have been sold. ']	['AlbumsReleased(phoenix, l6)', 'Album(wolfgangamadeusphoenix) ∧ IsAlbumOf(wolfgangamadeusphoenix, phoenix) ∧ SoldOver(wolfgangamadeusphoenix, l500000)', '∀x ((Album(x) ∨ Single(x)) ∧ SoldOver(x, l500000) → CertifiedGold(x))', 'Single(l1901) ∧ From(l1901, wolfgangamadeusphoenix) ∧ By(l1901, phoenix)', 'SoldOver(l1901, l400000)']	Unknown	wiki
 5	11	If the Hulk does not wake up, then Thor is not happy.	['Peter Parker is a either a superhero or a civilian.', 'The Hulk is a destroyer.', 'The Hulk wakes up when he is angry.', 'If the Hulk wakes up, then he will break a bridge.', 'Thor is a god.', 'Thor will break a bridge when he is happy.', 'A god is not a destroyer and a destroyer is not a god.', 'Peter Parker wears a uniform when he is a superhero.', 'Peter Parker is not a civilian if and only if a destroyer is breaking a bridge.', 'If Thor is happy, the Hulk is angry.']	['Superhero(peter) ⊕ Civilian(peter)', 'Destroyer(hulk)', 'Angry(hulk) → Wake(hulk)', 'Wake(hulk) → BreakBridge(hulk)', 'God(thor)', 'Happy(thor) → BreakBridge(thor)', '∀x (God(x) ↔ ¬Destroyer(x))', 'Superhero(peter) → WearUniform(peter)', '∀x (¬Civilian(peter) ↔ (Destroyer(x) ∧ BreakBridge(x)))', 'Happy(thor) → Angry(hulk)']	True	wiki
@@ -747,23 +747,23 @@ story_id	example_id	conclusion	premises	premises-FOL	label	source
 177	514	The National Lobster Hatchery releases animals into the wild.	['The National Lobster Hatchery is a hatchery located in Padstow England.', 'The National Lobster Hatchery is open to visitors.', 'A hatchery is either for profit, or for conservation.', 'If a hatchery is for conservation, it might release animals into the wild.', 'The National Lobster Hatchery is not for profit.']	['Hatchery(nationallobsterhatchery) ∧ LocatedIn(nationallobsterhatchery, padstowengland)', 'OpenToVisitors(nationallobsterhatchery)', '∀x (Hatchery(x) → ForConservation(x) ∨ ForProfit(x))', '∃x (Hatchery(x) ∧ ForConservation(x) ∧ ReleasesAnimalsToWild(x))', '¬ForProfit(nationallobsterhatchery)']	Unknown	wiki
 224	636	Rhos Aelwyd F.C. won the 2005-06 Premier Division.	['Rhos Aelwyd F.C. is a Welsh football club.', 'Rhos Aelwyd F.C. is the only club based in Ponciau. ', 'The Premier Division was won in 2005–06 by a team from Ponciau. ', 'The winner of the Premier Division in 2009–10 was promoted back to the Cymru Alliance.', 'The Premier Division in 2009–10 was won by the same team that won in 2005-06. ']	['∀x (Rhosaelwydfc(x) → FootballClub(x) ∧ BasedInPonciau(x) ∧ Welsh(x))', '∀x (BasedInPonciau(x) ↔ Rhosaelwydfc(x))', '∃x (BasedInPonciau(x) ∧ WonPremierDivisionDuring(x, y2005))', '∀x (WonPremierDivisionDuring(x, y2009) → Promoted(x))', '∀x (WonPremierDivisionDuring(x, y2009) ↔ WonPremierDivisionDuring(x, y2005))']	True	wiki
 224	637	Rhos Aelwyd F.C. was promoted to the Cymru Alliance.	['Rhos Aelwyd F.C. is a Welsh football club.', 'Rhos Aelwyd F.C. is the only club based in Ponciau. ', 'The Premier Division was won in 2005–06 by a team from Ponciau. ', 'The winner of the Premier Division in 2009–10 was promoted back to the Cymru Alliance.', 'The Premier Division in 2009–10 was won by the same team that won in 2005-06. ']	['∀x (Rhosaelwydfc(x) → FootballClub(x) ∧ BasedInPonciau(x) ∧ Welsh(x))', '∀x (BasedInPonciau(x) ↔ Rhosaelwydfc(x))', '∃x (BasedInPonciau(x) ∧ WonPremierDivisionDuring(x, y2005))', '∀x (WonPremierDivisionDuring(x, y2009) → Promoted(x))', '∀x (WonPremierDivisionDuring(x, y2009) ↔ WonPremierDivisionDuring(x, y2005))']	True	wiki
-470	1362	Burger is popular.	['All OS are software.', 'All Mac are OS.', 'An OS is either Mac or Windows.', 'All Windows are convenient.', 'All software has code.', 'If something is convenient, then it is popular.', 'Burger is a piece of code and a Mac.', 'PyTorch is either Windows and software, or neither Windows nor software.']	['∀x (OS(x) → Software(x))', '∀x (Mac(x) → OS(x))', '∀x (Mac(x) ∨ Windows(x))', '∀x (Windows(x) → Convenient(x))', '∀x (Software(x) → Code(x))', '∀x (Convenient(x) → Popular(x))', 'Code(burger) ∧ Mac(burger))', '(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))']	Unknown	hyb
-470	1363	Burger is not popular.	['All OS are software.', 'All Mac are OS.', 'An OS is either Mac or Windows.', 'All Windows are convenient.', 'All software has code.', 'If something is convenient, then it is popular.', 'Burger is a piece of code and a Mac.', 'PyTorch is either Windows and software, or neither Windows nor software.']	['∀x (OS(x) → Software(x))', '∀x (Mac(x) → OS(x))', '∀x (Mac(x) ∨ Windows(x))', '∀x (Windows(x) → Convenient(x))', '∀x (Software(x) → Code(x))', '∀x (Convenient(x) → Popular(x))', 'Code(burger) ∧ Mac(burger))', '(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))']	Unknown	hyb
-470	1364	PyTorch is popular and has code.	['All OS are software.', 'All Mac are OS.', 'An OS is either Mac or Windows.', 'All Windows are convenient.', 'All software has code.', 'If something is convenient, then it is popular.', 'Burger is a piece of code and a Mac.', 'PyTorch is either Windows and software, or neither Windows nor software.']	['∀x (OS(x) → Software(x))', '∀x (Mac(x) → OS(x))', '∀x (Mac(x) ∨ Windows(x))', '∀x (Windows(x) → Convenient(x))', '∀x (Software(x) → Code(x))', '∀x (Convenient(x) → Popular(x))', 'Code(burger) ∧ Mac(burger))', '(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))']	True	hyb
-470	1365	PyTorch is not popular and has code.	['All OS are software.', 'All Mac are OS.', 'An OS is either Mac or Windows.', 'All Windows are convenient.', 'All software has code.', 'If something is convenient, then it is popular.', 'Burger is a piece of code and a Mac.', 'PyTorch is either Windows and software, or neither Windows nor software.']	['∀x (OS(x) → Software(x))', '∀x (Mac(x) → OS(x))', '∀x (Mac(x) ∨ Windows(x))', '∀x (Windows(x) → Convenient(x))', '∀x (Software(x) → Code(x))', '∀x (Convenient(x) → Popular(x))', 'Code(burger) ∧ Mac(burger))', '(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))']	False	hyb
-117	353	Road one will last longer than Road two	['Roads are made of either concrete or asphalt.', 'Roads made of concrete last longer than roads made with asphalt.', 'Roads made of asphalt are smoother than roads made of concrete.', 'Everyone prefers the smoother of two roads. ', 'Road one is made of concrete and Road two is made of asphalt.']	['∀x (Road(x) → (MadeOfConcrete(x) ∨ MadeOfAsphalt(x))', '∀x ∀y (Road(x) ∧ MadeOfConcrete(x) ∧ Road(y) ∧ MadeOfAsphalt(y) → LastLonger(x, y))', '∀x ∀y (Road(x) ∧ MadeOfAsphalt(x) ∧ Road(y) ∧ MadeOfConcrete(y) → Smoother(x, y))', '∀x ∀y ∀z (Road(x) ∧ Road(y) ∧ Smoother(x, y) → Prefers(z, x))', 'Road(one) ∧ MadeOfConcrete(one) ∧ Road(two) ∧ MadeOfAsphalt(two)']	True	wiki
-117	354	Road two is not smoother than Road one.	['Roads are made of either concrete or asphalt.', 'Roads made of concrete last longer than roads made with asphalt.', 'Roads made of asphalt are smoother than roads made of concrete.', 'Everyone prefers the smoother of two roads. ', 'Road one is made of concrete and Road two is made of asphalt.']	['∀x (Road(x) → (MadeOfConcrete(x) ∨ MadeOfAsphalt(x))', '∀x ∀y (Road(x) ∧ MadeOfConcrete(x) ∧ Road(y) ∧ MadeOfAsphalt(y) → LastLonger(x, y))', '∀x ∀y (Road(x) ∧ MadeOfAsphalt(x) ∧ Road(y) ∧ MadeOfConcrete(y) → Smoother(x, y))', '∀x ∀y ∀z (Road(x) ∧ Road(y) ∧ Smoother(x, y) → Prefers(z, x))', 'Road(one) ∧ MadeOfConcrete(one) ∧ Road(two) ∧ MadeOfAsphalt(two)']	False	wiki
-117	355	John prefers Road two.	['Roads are made of either concrete or asphalt.', 'Roads made of concrete last longer than roads made with asphalt.', 'Roads made of asphalt are smoother than roads made of concrete.', 'Everyone prefers the smoother of two roads. ', 'Road one is made of concrete and Road two is made of asphalt.']	['∀x (Road(x) → (MadeOfConcrete(x) ∨ MadeOfAsphalt(x))', '∀x ∀y (Road(x) ∧ MadeOfConcrete(x) ∧ Road(y) ∧ MadeOfAsphalt(y) → LastLonger(x, y))', '∀x ∀y (Road(x) ∧ MadeOfAsphalt(x) ∧ Road(y) ∧ MadeOfConcrete(y) → Smoother(x, y))', '∀x ∀y ∀z (Road(x) ∧ Road(y) ∧ Smoother(x, y) → Prefers(z, x))', 'Road(one) ∧ MadeOfConcrete(one) ∧ Road(two) ∧ MadeOfAsphalt(two)']	True	wiki
+470	1362	Burger is popular.	['All OS are software.', 'All Mac are OS.', 'An OS is either Mac or Windows.', 'All Windows are convenient.', 'All software has code.', 'If something is convenient, then it is popular.', 'Burger is a piece of code and a Mac.', 'PyTorch is either Windows and software, or neither Windows nor software.']	['∀x (OS(x) → Software(x))', '∀x (Mac(x) → OS(x))', '∀x (Mac(x) ∨ Windows(x))', '∀x (Windows(x) → Convenient(x))', '∀x (Software(x) → Code(x))', '∀x (Convenient(x) → Popular(x))', 'Code(burger) ∧ Mac(burger)', '(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))']	Unknown	hyb
+470	1363	Burger is not popular.	['All OS are software.', 'All Mac are OS.', 'An OS is either Mac or Windows.', 'All Windows are convenient.', 'All software has code.', 'If something is convenient, then it is popular.', 'Burger is a piece of code and a Mac.', 'PyTorch is either Windows and software, or neither Windows nor software.']	['∀x (OS(x) → Software(x))', '∀x (Mac(x) → OS(x))', '∀x (Mac(x) ∨ Windows(x))', '∀x (Windows(x) → Convenient(x))', '∀x (Software(x) → Code(x))', '∀x (Convenient(x) → Popular(x))', 'Code(burger) ∧ Mac(burger)', '(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))']	Unknown	hyb
+470	1364	PyTorch is popular and has code.	['All OS are software.', 'All Mac are OS.', 'An OS is either Mac or Windows.', 'All Windows are convenient.', 'All software has code.', 'If something is convenient, then it is popular.', 'Burger is a piece of code and a Mac.', 'PyTorch is either Windows and software, or neither Windows nor software.']	['∀x (OS(x) → Software(x))', '∀x (Mac(x) → OS(x))', '∀x (Mac(x) ∨ Windows(x))', '∀x (Windows(x) → Convenient(x))', '∀x (Software(x) → Code(x))', '∀x (Convenient(x) → Popular(x))', 'Code(burger) ∧ Mac(burger)', '(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))']	True	hyb
+470	1365	PyTorch is not popular and has code.	['All OS are software.', 'All Mac are OS.', 'An OS is either Mac or Windows.', 'All Windows are convenient.', 'All software has code.', 'If something is convenient, then it is popular.', 'Burger is a piece of code and a Mac.', 'PyTorch is either Windows and software, or neither Windows nor software.']	['∀x (OS(x) → Software(x))', '∀x (Mac(x) → OS(x))', '∀x (Mac(x) ∨ Windows(x))', '∀x (Windows(x) → Convenient(x))', '∀x (Software(x) → Code(x))', '∀x (Convenient(x) → Popular(x))', 'Code(burger) ∧ Mac(burger)', '(Windows(pytorch) ∧ Software(pytorch)) ⊕ (¬Windows(pytorch) ∧ ¬Software(pytorch))']	False	hyb
+117	353	Road one will last longer than Road two	['Roads are made of either concrete or asphalt.', 'Roads made of concrete last longer than roads made with asphalt.', 'Roads made of asphalt are smoother than roads made of concrete.', 'Everyone prefers the smoother of two roads. ', 'Road one is made of concrete and Road two is made of asphalt.']	['∀x (Road(x) → (MadeOfConcrete(x) ∨ MadeOfAsphalt(x)))', '∀x ∀y (Road(x) ∧ MadeOfConcrete(x) ∧ Road(y) ∧ MadeOfAsphalt(y) → LastLonger(x, y))', '∀x ∀y (Road(x) ∧ MadeOfAsphalt(x) ∧ Road(y) ∧ MadeOfConcrete(y) → Smoother(x, y))', '∀x ∀y ∀z (Road(x) ∧ Road(y) ∧ Smoother(x, y) → Prefers(z, x))', 'Road(one) ∧ MadeOfConcrete(one) ∧ Road(two) ∧ MadeOfAsphalt(two)']	True	wiki
+117	354	Road two is not smoother than Road one.	['Roads are made of either concrete or asphalt.', 'Roads made of concrete last longer than roads made with asphalt.', 'Roads made of asphalt are smoother than roads made of concrete.', 'Everyone prefers the smoother of two roads. ', 'Road one is made of concrete and Road two is made of asphalt.']	['∀x (Road(x) → (MadeOfConcrete(x) ∨ MadeOfAsphalt(x)))', '∀x ∀y (Road(x) ∧ MadeOfConcrete(x) ∧ Road(y) ∧ MadeOfAsphalt(y) → LastLonger(x, y))', '∀x ∀y (Road(x) ∧ MadeOfAsphalt(x) ∧ Road(y) ∧ MadeOfConcrete(y) → Smoother(x, y))', '∀x ∀y ∀z (Road(x) ∧ Road(y) ∧ Smoother(x, y) → Prefers(z, x))', 'Road(one) ∧ MadeOfConcrete(one) ∧ Road(two) ∧ MadeOfAsphalt(two)']	False	wiki
+117	355	John prefers Road two.	['Roads are made of either concrete or asphalt.', 'Roads made of concrete last longer than roads made with asphalt.', 'Roads made of asphalt are smoother than roads made of concrete.', 'Everyone prefers the smoother of two roads. ', 'Road one is made of concrete and Road two is made of asphalt.']	['∀x (Road(x) → (MadeOfConcrete(x) ∨ MadeOfAsphalt(x)))', '∀x ∀y (Road(x) ∧ MadeOfConcrete(x) ∧ Road(y) ∧ MadeOfAsphalt(y) → LastLonger(x, y))', '∀x ∀y (Road(x) ∧ MadeOfAsphalt(x) ∧ Road(y) ∧ MadeOfConcrete(y) → Smoother(x, y))', '∀x ∀y ∀z (Road(x) ∧ Road(y) ∧ Smoother(x, y) → Prefers(z, x))', 'Road(one) ∧ MadeOfConcrete(one) ∧ Road(two) ∧ MadeOfAsphalt(two)']	True	wiki
 74	226	One of Ontario's oldest summer camps is a traditional summer camp for boys and girls.	['Camp Davern is a traditional summer camp for boys and girls.', 'Camp Davern was established in the year 1946.', 'Camp Davern was operated by the YMCA until the year 2015.', "Camp Davern is one of Ontario's oldest summer camps."]	['TraditionalSummerCamp(campdavern) ∧ ForBoysAndGirls(campdavern)', 'EstablishedIn(campdavern, year1946)', 'OperatedByYMCAUntil(campdavern, year2015)', 'OneOf(campdavern, ontariosoldestsummercamps)']	True	wiki
 74	227	A traditional summer camp for boys and girls was operated by the YMCA until the year 2015.	['Camp Davern is a traditional summer camp for boys and girls.', 'Camp Davern was established in the year 1946.', 'Camp Davern was operated by the YMCA until the year 2015.', "Camp Davern is one of Ontario's oldest summer camps."]	['TraditionalSummerCamp(campdavern) ∧ ForBoysAndGirls(campdavern)', 'EstablishedIn(campdavern, year1946)', 'OperatedByYMCAUntil(campdavern, year2015)', 'OneOf(campdavern, ontariosoldestsummercamps)']	True	wiki
 74	228	Camp Davern was established in 1989.	['Camp Davern is a traditional summer camp for boys and girls.', 'Camp Davern was established in the year 1946.', 'Camp Davern was operated by the YMCA until the year 2015.', "Camp Davern is one of Ontario's oldest summer camps."]	['TraditionalSummerCamp(campdavern) ∧ ForBoysAndGirls(campdavern)', 'EstablishedIn(campdavern, year1946)', 'OperatedByYMCAUntil(campdavern, year2015)', 'OneOf(campdavern, ontariosoldestsummercamps)']	Unknown	wiki
 372	995	Emily often holds tenured and high-ranking positions at her workplace.	['If people publish journals, then they do not work in the entertainment industry.', 'All people who are award-winning novelists publish journals.', 'People either work in the entertainment industry or are highly acclaimed in their profession.', 'If people are highly acclaimed in their profession, then they often hold tenured and high-ranking positions at their workplace.', 'If people are highly acclaimed in their profession, then they often receive glowing feedback and recommendations from their colleagues.', 'If Emily is either both highly acclaimed in her profession and often holds tenured and high-ranking positions at her workplace, or she is neither highly acclaimed in her profession nor often holds tenured and high-ranking positions at her workplace, then Emily is not highly acclaimed in her profession. ']	['∀x (PublishJournals(x) → ¬Entertainment(x))', '∀x (Novelist(x) → PublishJournals(x))', '∀x (Entertainment(x) ∨ Acclaimed(x))', '∀x (Acclaimed(x) → Tenured(x))', '∀x (Acclaimed(x) → Glowing(x))', '(Acclaimed(emily) ∧ Tenured(emily)) ∨ (¬Acclaimed(emily) ∧ ¬Tenured(emily)) → ¬Acclaimed(emily)']	Unknown	hyb
 372	996	Emily often receives glowing feedback and recommendations from their colleagues and is an award-winning novelist.	['If people publish journals, then they do not work in the entertainment industry.', 'All people who are award-winning novelists publish journals.', 'People either work in the entertainment industry or are highly acclaimed in their profession.', 'If people are highly acclaimed in their profession, then they often hold tenured and high-ranking positions at their workplace.', 'If people are highly acclaimed in their profession, then they often receive glowing feedback and recommendations from their colleagues.', 'If Emily is either both highly acclaimed in her profession and often holds tenured and high-ranking positions at her workplace, or she is neither highly acclaimed in her profession nor often holds tenured and high-ranking positions at her workplace, then Emily is not highly acclaimed in her profession. ']	['∀x (PublishJournals(x) → ¬Entertainment(x))', '∀x (Novelist(x) → PublishJournals(x))', '∀x (Entertainment(x) ∨ Acclaimed(x))', '∀x (Acclaimed(x) → Tenured(x))', '∀x (Acclaimed(x) → Glowing(x))', '(Acclaimed(emily) ∧ Tenured(emily)) ∨ (¬Acclaimed(emily) ∧ ¬Tenured(emily)) → ¬Acclaimed(emily)']	False	hyb
 372	997	If Emily either often receives glowing feedback and recommendations from her colleagues or is an award-winning novelist, then Emily does not both publish journals and is an award-winning novelist.	['If people publish journals, then they do not work in the entertainment industry.', 'All people who are award-winning novelists publish journals.', 'People either work in the entertainment industry or are highly acclaimed in their profession.', 'If people are highly acclaimed in their profession, then they often hold tenured and high-ranking positions at their workplace.', 'If people are highly acclaimed in their profession, then they often receive glowing feedback and recommendations from their colleagues.', 'If Emily is either both highly acclaimed in her profession and often holds tenured and high-ranking positions at her workplace, or she is neither highly acclaimed in her profession nor often holds tenured and high-ranking positions at her workplace, then Emily is not highly acclaimed in her profession. ']	['∀x (PublishJournals(x) → ¬Entertainment(x))', '∀x (Novelist(x) → PublishJournals(x))', '∀x (Entertainment(x) ∨ Acclaimed(x))', '∀x (Acclaimed(x) → Tenured(x))', '∀x (Acclaimed(x) → Glowing(x))', '(Acclaimed(emily) ∧ Tenured(emily)) ∨ (¬Acclaimed(emily) ∧ ¬Tenured(emily)) → ¬Acclaimed(emily)']	True	hyb
-10	25	Megan Whalen Turner worked with Greenwillow Books.	['Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.', 'Thick as Thieves was published by Greenwillow Books.', 'If a book was published by a company, than the author of that book worked with the company that published the book.', 'The fictional Mede Empire is where Thick as Thieves is set.', 'The Mede Empire plots to swallow up some nearby countries.', 'Attolia and Sounis are countries near the Mede Empire.', 'Thick as Thieves was sold both as a hardcover and an e-book.']	['YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)', 'PublishedBy(thickastheives, greenwillowbooks)', '∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))', 'Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)', '∃x (Country(x) Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))', 'Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)', 'SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)']	True	wiki
-10	26	The Mede Empire plans to swallow up Attolia.	['Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.', 'Thick as Thieves was published by Greenwillow Books.', 'If a book was published by a company, than the author of that book worked with the company that published the book.', 'The fictional Mede Empire is where Thick as Thieves is set.', 'The Mede Empire plots to swallow up some nearby countries.', 'Attolia and Sounis are countries near the Mede Empire.', 'Thick as Thieves was sold both as a hardcover and an e-book.']	['YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)', 'PublishedBy(thickastheives, greenwillowbooks)', '∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))', 'Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)', '∃x (Country(x) Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))', 'Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)', 'SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)']	Unknown	wiki
-10	27	Thick as Thieves is not set in the mede empire.	['Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.', 'Thick as Thieves was published by Greenwillow Books.', 'If a book was published by a company, than the author of that book worked with the company that published the book.', 'The fictional Mede Empire is where Thick as Thieves is set.', 'The Mede Empire plots to swallow up some nearby countries.', 'Attolia and Sounis are countries near the Mede Empire.', 'Thick as Thieves was sold both as a hardcover and an e-book.']	['YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)', 'PublishedBy(thickastheives, greenwillowbooks)', '∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))', 'Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)', '∃x (Country(x) Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))', 'Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)', 'SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)']	False	wiki
-10	28	Megan Whalen Turner did not work with Greenwillow Books.	['Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.', 'Thick as Thieves was published by Greenwillow Books.', 'If a book was published by a company, than the author of that book worked with the company that published the book.', 'The fictional Mede Empire is where Thick as Thieves is set.', 'The Mede Empire plots to swallow up some nearby countries.', 'Attolia and Sounis are countries near the Mede Empire.', 'Thick as Thieves was sold both as a hardcover and an e-book.']	['YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)', 'PublishedBy(thickastheives, greenwillowbooks)', '∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))', 'Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)', '∃x (Country(x) Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))', 'Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)', 'SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)']	False	wiki
+10	25	Megan Whalen Turner worked with Greenwillow Books.	['Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.', 'Thick as Thieves was published by Greenwillow Books.', 'If a book was published by a company, than the author of that book worked with the company that published the book.', 'The fictional Mede Empire is where Thick as Thieves is set.', 'The Mede Empire plots to swallow up some nearby countries.', 'Attolia and Sounis are countries near the Mede Empire.', 'Thick as Thieves was sold both as a hardcover and an e-book.']	['YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)', 'PublishedBy(thickastheives, greenwillowbooks)', '∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))', 'Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)', '∃x (Country(x) ∧ Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))', 'Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)', 'SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)']	True	wiki
+10	26	The Mede Empire plans to swallow up Attolia.	['Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.', 'Thick as Thieves was published by Greenwillow Books.', 'If a book was published by a company, than the author of that book worked with the company that published the book.', 'The fictional Mede Empire is where Thick as Thieves is set.', 'The Mede Empire plots to swallow up some nearby countries.', 'Attolia and Sounis are countries near the Mede Empire.', 'Thick as Thieves was sold both as a hardcover and an e-book.']	['YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)', 'PublishedBy(thickastheives, greenwillowbooks)', '∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))', 'Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)', '∃x (Country(x) ∧ Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))', 'Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)', 'SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)']	Unknown	wiki
+10	27	Thick as Thieves is not set in the mede empire.	['Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.', 'Thick as Thieves was published by Greenwillow Books.', 'If a book was published by a company, than the author of that book worked with the company that published the book.', 'The fictional Mede Empire is where Thick as Thieves is set.', 'The Mede Empire plots to swallow up some nearby countries.', 'Attolia and Sounis are countries near the Mede Empire.', 'Thick as Thieves was sold both as a hardcover and an e-book.']	['YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)', 'PublishedBy(thickastheives, greenwillowbooks)', '∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))', 'Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)', '∃x (Country(x) ∧ Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))', 'Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)', 'SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)']	False	wiki
+10	28	Megan Whalen Turner did not work with Greenwillow Books.	['Thick as Thieves is a young adult fantasy novel, written by Megan Whalen Turner.', 'Thick as Thieves was published by Greenwillow Books.', 'If a book was published by a company, than the author of that book worked with the company that published the book.', 'The fictional Mede Empire is where Thick as Thieves is set.', 'The Mede Empire plots to swallow up some nearby countries.', 'Attolia and Sounis are countries near the Mede Empire.', 'Thick as Thieves was sold both as a hardcover and an e-book.']	['YoungAdultFantasyNovel(thickastheives) ∧ WrittenBy(thickastheives, megan)', 'PublishedBy(thickastheives, greenwillowbooks)', '∀x ∀y ∀z (WrittenBy(x, y) ∧ PublishedBy(x, z) → WorkedWith(y, z))', 'Fictional(medeempire) ∧ SetIn(thickastheives, medeempire)', '∃x (Country(x) ∧ Nearby(medeempire, x) ∧ PlotsToSwallowUp(medeempire, x))', 'Country(attolia) ∧ Nearby(medeempire, attolia) ∧ Country(sounis) ∧ Nearby(medeempire, sounis)', 'SoldAs(thickastheives, hardcover) ∧ SoldAs(thickastheives, softcover)']	False	wiki
 116	351	There is a tablet computer that was announced by a German.	['WeTab is a MeeGo-based tablet computer.', 'There is a WeTab product.', 'WeTab was announced by Neofonie.', 'Neofonie is a German producer.', 'Germans speak English or German.']	['∀x (WeTab(x) → MeeGoBased(x) ∧ TabletComputer(x))', '∃x (WeTab(x))', '∀x (WeTab(x) → Announce(neofonie, x))', 'German(neofonie) ∧ Producer(neofonie)', '∀x (German(x) → Speak(x, english) ∨ Speak(x, german))']	True	wiki
 116	352	Neofonie doesn't speak English or German.	['WeTab is a MeeGo-based tablet computer.', 'There is a WeTab product.', 'WeTab was announced by Neofonie.', 'Neofonie is a German producer.', 'Germans speak English or German.']	['∀x (WeTab(x) → MeeGoBased(x) ∧ TabletComputer(x))', '∃x (WeTab(x))', '∀x (WeTab(x) → Announce(neofonie, x))', 'German(neofonie) ∧ Producer(neofonie)', '∀x (German(x) → Speak(x, english) ∨ Speak(x, german))']	False	wiki
 419	1186	James is good at math.	['Some employees working in business analysis are good at math. ', 'All employees working in business analysis are working in this company. ', 'No employees working in this company are from China. ', 'All employees working in software engineering are from China. ', 'James is working in software engineering. ']	['∃x ( BusinessAnalysis(x) ∧ GoodAtMath(x))', '∀x (BusinessAnalysis(x) → WorkInCompany(x))', '∀x (WorkInCompany(x) → ¬FromChina(x))', '∀x (SoftwareEngineering(x) → FromChina(x))', 'SoftwareEngineering(james)']	Unknown	hyb
@@ -814,10 +814,10 @@ story_id	example_id	conclusion	premises	premises-FOL	label	source
 31	90	Thomas Gilovich proposed naive cynicism.	['Naive cynicism was proposed by Justin Kruger and a colleague.', 'Thomas Gilovich is a colleague of Justin Kruger. ', 'Naive cynicism is a philosophy of mind.']	['Proposed(justinKruger, naiveCynicism) ∧ Proposed(colleagueOfJustinKruger, naiveCynicism) ', 'Colleague(thomasGilovich, justinKruger)', 'PhilosophyOfMind(naiveCynicism)']	Unknown	wiki
 31	91	Justin Kruger propose a philosophy of mind.	['Naive cynicism was proposed by Justin Kruger and a colleague.', 'Thomas Gilovich is a colleague of Justin Kruger. ', 'Naive cynicism is a philosophy of mind.']	['Proposed(justinKruger, naiveCynicism) ∧ Proposed(colleagueOfJustinKruger, naiveCynicism) ', 'Colleague(thomasGilovich, justinKruger)', 'PhilosophyOfMind(naiveCynicism)']	True	wiki
 31	92	Thomas Gilovich worked on philiophies of mind.	['Naive cynicism was proposed by Justin Kruger and a colleague.', 'Thomas Gilovich is a colleague of Justin Kruger. ', 'Naive cynicism is a philosophy of mind.']	['Proposed(justinKruger, naiveCynicism) ∧ Proposed(colleagueOfJustinKruger, naiveCynicism) ', 'Colleague(thomasGilovich, justinKruger)', 'PhilosophyOfMind(naiveCynicism)']	Unknown	wiki
-129	383	At least two people who have won the Turing Award worked in the field of artificial intelligence.	['', 'The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ', 'Donald Knuth made major contributions to the analysis of algorithms.', 'Marvin Minsky is recognized by his contributions to the field of artificial intelligence.', 'Richard Hamming did research on numerical methods.', 'John McCarthy had a central role in creating and shaping the field of artificial inteligence. ']	['', 'TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)', 'ContributedTo(donaldKnuth, algorithms)', 'ContributedTo(marvinMinsky, ai)', 'ContributedTo(richardHamming, numericalMethods)', 'ContributedTo(johnMccarthy, ai)']	True	wiki
-129	384	At least two people who worked in the field of artificial intelligence have won the Turing Award.	['', 'The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ', 'Donald Knuth made major contributions to the analysis of algorithms.', 'Marvin Minsky is recognized by his contributions to the field of artificial intelligence.', 'Richard Hamming did research on numerical methods.', 'John McCarthy had a central role in creating and shaping the field of artificial inteligence. ']	['', 'TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)', 'ContributedTo(donaldKnuth, algorithms)', 'ContributedTo(marvinMinsky, ai)', 'ContributedTo(richardHamming, numericalMethods)', 'ContributedTo(johnMccarthy, ai)']	True	wiki
-129	385	Only one people who have won the Turing Award made significant contributions to the analysis of algorithms.	['', 'The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ', 'Donald Knuth made major contributions to the analysis of algorithms.', 'Marvin Minsky is recognized by his contributions to the field of artificial intelligence.', 'Richard Hamming did research on numerical methods.', 'John McCarthy had a central role in creating and shaping the field of artificial inteligence. ']	['', 'TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)', 'ContributedTo(donaldKnuth, algorithms)', 'ContributedTo(marvinMinsky, ai)', 'ContributedTo(richardHamming, numericalMethods)', 'ContributedTo(johnMccarthy, ai)']	Unknown	wiki
-129	386	No Turing Award winners worked in the field of numerical methods.	['', 'The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ', 'Donald Knuth made major contributions to the analysis of algorithms.', 'Marvin Minsky is recognized by his contributions to the field of artificial intelligence.', 'Richard Hamming did research on numerical methods.', 'John McCarthy had a central role in creating and shaping the field of artificial inteligence. ']	['', 'TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)', 'ContributedTo(donaldKnuth, algorithms)', 'ContributedTo(marvinMinsky, ai)', 'ContributedTo(richardHamming, numericalMethods)', 'ContributedTo(johnMccarthy, ai)']	False	wiki
+129	383	At least two people who have won the Turing Award worked in the field of artificial intelligence.	['The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ', 'Donald Knuth made major contributions to the analysis of algorithms.', 'Marvin Minsky is recognized by his contributions to the field of artificial intelligence.', 'Richard Hamming did research on numerical methods.', 'John McCarthy had a central role in creating and shaping the field of artificial inteligence. ']	['TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)', 'ContributedTo(donaldKnuth, algorithms)', 'ContributedTo(marvinMinsky, ai)', 'ContributedTo(richardHamming, numericalMethods)', 'ContributedTo(johnMccarthy, ai)']	True	wiki
+129	384	At least two people who worked in the field of artificial intelligence have won the Turing Award.	['The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ', 'Donald Knuth made major contributions to the analysis of algorithms.', 'Marvin Minsky is recognized by his contributions to the field of artificial intelligence.', 'Richard Hamming did research on numerical methods.', 'John McCarthy had a central role in creating and shaping the field of artificial inteligence. ']	['TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)', 'ContributedTo(donaldKnuth, algorithms)', 'ContributedTo(marvinMinsky, ai)', 'ContributedTo(richardHamming, numericalMethods)', 'ContributedTo(johnMccarthy, ai)']	True	wiki
+129	385	Only one people who have won the Turing Award made significant contributions to the analysis of algorithms.	['The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ', 'Donald Knuth made major contributions to the analysis of algorithms.', 'Marvin Minsky is recognized by his contributions to the field of artificial intelligence.', 'Richard Hamming did research on numerical methods.', 'John McCarthy had a central role in creating and shaping the field of artificial inteligence. ']	['TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)', 'ContributedTo(donaldKnuth, algorithms)', 'ContributedTo(marvinMinsky, ai)', 'ContributedTo(richardHamming, numericalMethods)', 'ContributedTo(johnMccarthy, ai)']	Unknown	wiki
+129	386	No Turing Award winners worked in the field of numerical methods.	['The Turing Award has been awarded to Donald Knuth, Marvin Minsky, Richard Hamming and John McCarthy. ', 'Donald Knuth made major contributions to the analysis of algorithms.', 'Marvin Minsky is recognized by his contributions to the field of artificial intelligence.', 'Richard Hamming did research on numerical methods.', 'John McCarthy had a central role in creating and shaping the field of artificial inteligence. ']	['TuringAwarded(donaldKnuth) ∧ TuringAwarded(marvinMinsky) ∧ TuringAwarded(richardHamming) ∧ TuringAwarded(johnMccarthy)', 'ContributedTo(donaldKnuth, algorithms)', 'ContributedTo(marvinMinsky, ai)', 'ContributedTo(richardHamming, numericalMethods)', 'ContributedTo(johnMccarthy, ai)']	False	wiki
 429	1224	2Sum is an easy Leetcode problem.	['No easy Leetcode problems have an AC rate lower than 20 percent. ', 'All Leetcode problems recommended to novices are easy.                                                                                                       ', 'Leetcode problems either have an AC rate lower than 20 percent or are starred by more than 1 thousand users. ', 'All hard Leetcode problems are starred by more than 1 thousand users. ', 'No Leetcode problems published after 2022 are starred by more than 1 thousand users. ', '2Sum is not recommended to novices and hard. ', '4Sum is either starred by more than 1 thousand users and published after 2022, or neither starred by more than 1 thousand users nor published after 2022. ']	['∀x (Easy(x) → ¬LowerAC(x))', '∀x (Recommended(x) → Easy(x))', '∀x (LowerAC(x) ⊕ Starred(x))', '∀x (Hard(x) → Starred(x))', '∀x (PublishedAfter2022(x) → ¬Starred(x))', '¬(Recommended(twosum) ∧ Hard(twosum))', '¬(Starred(foursum) ⊕ PublishedAfter2022(foursum))']	Unknown	hyb
 429	1225	2Sum is not an easy Leetcode problem.	['No easy Leetcode problems have an AC rate lower than 20 percent. ', 'All Leetcode problems recommended to novices are easy.                                                                                                       ', 'Leetcode problems either have an AC rate lower than 20 percent or are starred by more than 1 thousand users. ', 'All hard Leetcode problems are starred by more than 1 thousand users. ', 'No Leetcode problems published after 2022 are starred by more than 1 thousand users. ', '2Sum is not recommended to novices and hard. ', '4Sum is either starred by more than 1 thousand users and published after 2022, or neither starred by more than 1 thousand users nor published after 2022. ']	['∀x (Easy(x) → ¬LowerAC(x))', '∀x (Recommended(x) → Easy(x))', '∀x (LowerAC(x) ⊕ Starred(x))', '∀x (Hard(x) → Starred(x))', '∀x (PublishedAfter2022(x) → ¬Starred(x))', '¬(Recommended(twosum) ∧ Hard(twosum))', '¬(Starred(foursum) ⊕ PublishedAfter2022(foursum))']	Unknown	hyb
 429	1226	4Sum is a Leetcode problem recommended to the novice or is hard.	['No easy Leetcode problems have an AC rate lower than 20 percent. ', 'All Leetcode problems recommended to novices are easy.                                                                                                       ', 'Leetcode problems either have an AC rate lower than 20 percent or are starred by more than 1 thousand users. ', 'All hard Leetcode problems are starred by more than 1 thousand users. ', 'No Leetcode problems published after 2022 are starred by more than 1 thousand users. ', '2Sum is not recommended to novices and hard. ', '4Sum is either starred by more than 1 thousand users and published after 2022, or neither starred by more than 1 thousand users nor published after 2022. ']	['∀x (Easy(x) → ¬LowerAC(x))', '∀x (Recommended(x) → Easy(x))', '∀x (LowerAC(x) ⊕ Starred(x))', '∀x (Hard(x) → Starred(x))', '∀x (PublishedAfter2022(x) → ¬Starred(x))', '¬(Recommended(twosum) ∧ Hard(twosum))', '¬(Starred(foursum) ⊕ PublishedAfter2022(foursum))']	False	hyb
@@ -888,7 +888,7 @@ story_id	example_id	conclusion	premises	premises-FOL	label	source
 16	45	Dagfinn is Dagfinn Aarskog's given name.	['Dagfinn is a given name.', 'Notable people with the given name include Dagfinn Aarskog, Dagfinn Bakke and Dagfinn Dahl. ', 'Dagfinn Aarskog is a Norwegian physician.', 'Dagfinn Dahl is a Norwegian barrister.']	['∀x (Dagfinn(x) → GivenName(x))', 'Dagfinn(dagfinnAarskog) ∧ NotablePeople(dagfinnAarskog) ∧ Dagfinn(dagfinnBakke) ∧ NotablePeople(dagfinnBakke) ∧ Dagfinn(dagfinnDahl) ∧ NotablePeople(dagfinnDahl)', 'Norwegian(dagfinnAarskog) ∧ Physician(dagfinnAarskog)', 'Norwegian(dagfinnDahl) ∧ Barrister(dagfinnDahl)']	True	wiki
 16	46	Dagfinn Dahl is a Norwegian physician.	['Dagfinn is a given name.', 'Notable people with the given name include Dagfinn Aarskog, Dagfinn Bakke and Dagfinn Dahl. ', 'Dagfinn Aarskog is a Norwegian physician.', 'Dagfinn Dahl is a Norwegian barrister.']	['∀x (Dagfinn(x) → GivenName(x))', 'Dagfinn(dagfinnAarskog) ∧ NotablePeople(dagfinnAarskog) ∧ Dagfinn(dagfinnBakke) ∧ NotablePeople(dagfinnBakke) ∧ Dagfinn(dagfinnDahl) ∧ NotablePeople(dagfinnDahl)', 'Norwegian(dagfinnAarskog) ∧ Physician(dagfinnAarskog)', 'Norwegian(dagfinnDahl) ∧ Barrister(dagfinnDahl)']	Unknown	wiki
 300	749	If entertainment is interesting, it will be well-known.	['If entertainment is interesting, it will be popular.', 'All popular things are well-known.']	['∀x ((Entertainment(x) ∧ Interesting(x)) → Popular(x))', '∀x (Popular(x) → WellKnown(x))']	True	wiki
-240	687	GPT-3 is popular.	['It is not true that some giant language models do not have good performance. ', 'All language models with good performance are used by some researchers.', 'If a language model is used by some researchers, it is popular. ', 'If BERT is a giant language model, then GPT-3 is also a giant language model. ', 'BERT is a giant language model. ']	['¬(∃x (LanguageModel(x) ∧ Giant(x) ∧ ¬GoodPerformance(x)))', '∀x ((LanguageModel(x) ∧ GoodPerformance(x)) → UsedBySomeResearchers(x))', '∀x (UsedBySomeResearchers(x) → Popular(x))', '(LanguageModel(bert) ∧ Giant(bert)) → (LanguageModel(gpt-3) ∧ Giant(gpt-3)).', 'LanguageModel(bert) ∧ Giant(bert) ']	True	wiki
+240	687	GPT-3 is popular.	['It is not true that some giant language models do not have good performance. ', 'All language models with good performance are used by some researchers.', 'If a language model is used by some researchers, it is popular. ', 'If BERT is a giant language model, then GPT-3 is also a giant language model. ', 'BERT is a giant language model. ']	['¬(∃x (LanguageModel(x) ∧ Giant(x) ∧ ¬GoodPerformance(x)))', '∀x ((LanguageModel(x) ∧ GoodPerformance(x)) → UsedBySomeResearchers(x))', '∀x (UsedBySomeResearchers(x) → Popular(x))', '(LanguageModel(bert) ∧ Giant(bert)) → (LanguageModel(gpt-3) ∧ Giant(gpt-3))', 'LanguageModel(bert) ∧ Giant(bert) ']	True	wiki
 110	334	At least one Scottish team has joined the Scottish Premiership.	['St Johnstone is a Scottish team.', 'St Johnstone is part of the Scottish Premiership.', 'If a team is part of the league, it has joined the league.', 'St Johnstone and Minsk are different teams.', 'For two different teams, either one team wins or the other team wins.', 'Minsk won against St Johnstone.']	['Scottish(johnstone)', 'PartOf(johnstone, scottishpremiership)', '∀x ∀y (PartOf(x, y) → Joined(x, y))', 'Different(misnk, johnstone) ∧ Different(johnstone, minsk)', '∀x ∀y (Different(x, y) → WonGame(x, y) ⊕ WonGame(y, x))', 'WonGame(minsk, johnstone)']	True	wiki
 110	335	St Johnstone won against Minsk.	['St Johnstone is a Scottish team.', 'St Johnstone is part of the Scottish Premiership.', 'If a team is part of the league, it has joined the league.', 'St Johnstone and Minsk are different teams.', 'For two different teams, either one team wins or the other team wins.', 'Minsk won against St Johnstone.']	['Scottish(johnstone)', 'PartOf(johnstone, scottishpremiership)', '∀x ∀y (PartOf(x, y) → Joined(x, y))', 'Different(misnk, johnstone) ∧ Different(johnstone, minsk)', '∀x ∀y (Different(x, y) → WonGame(x, y) ⊕ WonGame(y, x))', 'WonGame(minsk, johnstone)']	False	wiki
 110	336	Minsk joined the Scottish Premiership.	['St Johnstone is a Scottish team.', 'St Johnstone is part of the Scottish Premiership.', 'If a team is part of the league, it has joined the league.', 'St Johnstone and Minsk are different teams.', 'For two different teams, either one team wins or the other team wins.', 'Minsk won against St Johnstone.']	['Scottish(johnstone)', 'PartOf(johnstone, scottishpremiership)', '∀x ∀y (PartOf(x, y) → Joined(x, y))', 'Different(misnk, johnstone) ∧ Different(johnstone, minsk)', '∀x ∀y (Different(x, y) → WonGame(x, y) ⊕ WonGame(y, x))', 'WonGame(minsk, johnstone)']	Unknown	wiki