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Category: A1; Team name: Amiiiza; Dataset: ATLAS Top Tagging #246
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #246 +/- ##
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+ Coverage 94.01% 94.24% +0.23%
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Files 184 186 +2
Lines 6664 6936 +272
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+ Hits 6265 6537 +272
Misses 399 399 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Hi @amiiiza! Two quick comments:
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Description
This PR adds the ATLAS Top Tagging dataset from CERN Open Data to TopoBench’s pointcloud domain.
It introduces a full dataset implementation, loader, and configuration needed to use this dataset for binary top-quark jet tagging.
Main changes:
ATLASTopTaggingDatasetwith:split(train/val/test),subsetfraction for fast experimentation,max_constituents,ATLASTopTaggingDatasetLoaderin the pointcloud data domain..h5.gzand uncompressed.h5input, with a fallback when.gzfiles are missing..ptfile.stats()helper to summarize:Issue
There is no issue associated with this PR.
Additional context
Data
Source: CERN Open Data Portal - Record 80030
Task: Binary classification (top quark jet tagging)
Size: ~93M events (~280GB compressed)
Features:
pt(transverse momentum)eta(pseudorapidity)phi(azimuthal angle)energyTesting
.h5fallback when no.h5.gzfiles exist,num_jets),process(),stats()output (basic summary + label distribution).