Improves dataset file names and low success rate for trained model on g1 locomanipulation dataset (#3503)

# Description

Changes mimic data generation parameters for
`LocomanipulationG1MimicEnvCfg` to increase action noise to match that
of `PickPlaceGR1T2MimicEnvCfg`. Also, updates documentation for
teleop_imitation.rst for dataset download links to point to the renamed
files that matches the tutorial instructions.

Fixes # (issue)

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## Type of change

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- Bug fix (non-breaking change which fixes an issue)
- Documentation update

## Checklist

- [x] I have read and understood the [contribution
guidelines](https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html)
- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [x] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

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Author: michaellin6

docs/source/overview/imitation-learning/teleop_imitation.rst

@@ -451,7 +451,7 @@ Generate the dataset
 ^^^^^^^^^^^^^^^^^^^^
 
 If you skipped the prior collection and annotation step, download the pre-recorded annotated dataset ``dataset_annotated_gr1.hdf5`` from
-here: `[Annotated GR1 Dataset] <https://omniverse-content-production.s3-us-west-2.amazonaws.com/Assets/Isaac/5.0/Isaac/IsaacLab/Mimic/pick_place_datasets/dataset_annotated_gr1_v01.hdf5>`_.
+here: `[Annotated GR1 Dataset] <https://omniverse-content-production.s3-us-west-2.amazonaws.com/Assets/Isaac/5.0/Isaac/IsaacLab/Mimic/pick_place_datasets/dataset_annotated_gr1.hdf5>`_.
 Place the file under ``IsaacLab/datasets`` and run the following command to generate a new dataset with 1000 demonstrations.
 
 .. code:: bash
@@ -573,7 +573,7 @@ Follow the same data collection, annotation, and generation process as demonstra
 
 
 If you skipped the prior collection and annotation step, download the pre-recorded annotated dataset ``dataset_annotated_g1_locomanip.hdf5`` from
-here: `[Annotated G1 Dataset] <https://omniverse-content-production.s3-us-west-2.amazonaws.com/Assets/Isaac/5.0/Isaac/IsaacLab/Mimic/pick_place_datasets/dataset_annotated_g1_locomanip_v01.hdf5>`_.
+here: `[Annotated G1 Dataset] <https://omniverse-content-production.s3-us-west-2.amazonaws.com/Assets/Isaac/5.0/Isaac/IsaacLab/Mimic/pick_place_datasets/dataset_annotated_g1_locomanip.hdf5>`_.
 Place the file under ``IsaacLab/datasets`` and run the following command to generate a new dataset with 1000 demonstrations.
 
 .. code:: bash

source/isaaclab_mimic/isaaclab_mimic/envs/pinocchio_envs/locomanipulation_g1_mimic_env_cfg.py

@@ -52,7 +52,7 @@ def __post_init__(self):
                 # Optional parameters for the selection strategy function
                 selection_strategy_kwargs={"nn_k": 3},
                 # Amount of action noise to apply during this subtask
-                action_noise=0.002,
+                action_noise=0.003,
                 # Number of interpolation steps to bridge to this subtask segment
                 num_interpolation_steps=0,
                 # Additional fixed steps for the robot to reach the necessary pose
@@ -74,7 +74,7 @@ def __post_init__(self):
                 # Optional parameters for the selection strategy function
                 selection_strategy_kwargs={"nn_k": 3},
                 # Amount of action noise to apply during this subtask
-                action_noise=0.002,
+                action_noise=0.003,
                 # Number of interpolation steps to bridge to this subtask segment
                 num_interpolation_steps=3,
                 # Additional fixed steps for the robot to reach the necessary pose
@@ -100,7 +100,7 @@ def __post_init__(self):
                 # Optional parameters for the selection strategy function
                 selection_strategy_kwargs={"nn_k": 3},
                 # Amount of action noise to apply during this subtask
-                action_noise=0.002,
+                action_noise=0.003,
                 # Number of interpolation steps to bridge to this subtask segment
                 num_interpolation_steps=0,
                 # Additional fixed steps for the robot to reach the necessary pose