chore: remove usernames + use entrypoints in docs, comments & sample commands (#2988)

This commit is contained in:
Steven Palma
2026-02-18 22:46:12 +01:00
committed by GitHub
parent bc38261321
commit 5f15232271
17 changed files with 97 additions and 97 deletions
@@ -529,7 +529,7 @@ if __name__ == "__main__":
type=str,
required=True,
help="Repository identifier on Hugging Face: a community or a user name `/` the name of the dataset "
"(e.g. `lerobot/pusht`, `cadene/aloha_sim_insertion_human`).",
"(e.g. `lerobot/pusht`, `<USER>/aloha_sim_insertion_human`).",
)
parser.add_argument(
"--branch",
@@ -27,18 +27,18 @@ Usage:
# Full RA-BC computation with visualizations
python src/lerobot/policies/sarm/compute_rabc_weights.py \\
--dataset-repo-id lerobot/aloha_sim_insertion_human \\
--reward-model-path pepijn223/sarm_single_uni4
--reward-model-path <USER>/sarm_single_uni4
# Faster computation with stride (compute every 5 frames, interpolate the rest)
python src/lerobot/policies/sarm/compute_rabc_weights.py \\
--dataset-repo-id lerobot/aloha_sim_insertion_human \\
--reward-model-path pepijn223/sarm_single_uni4 \\
--reward-model-path <USER>/sarm_single_uni4 \\
--stride 5
# Visualize predictions only (no RA-BC computation)
python src/lerobot/policies/sarm/compute_rabc_weights.py \\
--dataset-repo-id lerobot/aloha_sim_insertion_human \\
--reward-model-path pepijn223/sarm_single_uni4 \\
--reward-model-path <USER>/sarm_single_uni4 \\
--visualize-only \\
--num-visualizations 5
@@ -714,12 +714,12 @@ Examples:
# Full RA-BC computation with visualizations
python src/lerobot/policies/sarm/compute_rabc_weights.py \\
--dataset-repo-id lerobot/aloha_sim_insertion_human \\
--reward-model-path pepijn223/sarm_single_uni4
--reward-model-path <USER>/sarm_single_uni4
# Visualize predictions only (no RA-BC computation)
python src/lerobot/policies/sarm/compute_rabc_weights.py \\
--dataset-repo-id lerobot/aloha_sim_insertion_human \\
--reward-model-path pepijn223/sarm_single_uni4 \\
--reward-model-path <USER>/sarm_single_uni4 \\
--visualize-only \\
--num-visualizations 10
""",
@@ -30,7 +30,7 @@ Example of finetuning the smolvla pretrained model (`smolvla_base`):
```bash
lerobot-train \
--policy.path=lerobot/smolvla_base \
--dataset.repo_id=danaaubakirova/svla_so100_task1_v3 \
--dataset.repo_id=<USER>/svla_so100_task1_v3 \
--batch_size=64 \
--steps=200000
```
@@ -40,7 +40,7 @@ and an action expert.
```bash
lerobot-train \
--policy.type=smolvla \
--dataset.repo_id=danaaubakirova/svla_so100_task1_v3 \
--dataset.repo_id=<USER>/svla_so100_task1_v3 \
--batch_size=64 \
--steps=200000
```
+16 -16
View File
@@ -24,100 +24,100 @@ When new_repo_id is specified, creates a new dataset.
Usage Examples:
Delete episodes 0, 2, and 5 from a dataset:
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--repo_id lerobot/pusht \
--operation.type delete_episodes \
--operation.episode_indices "[0, 2, 5]"
Delete episodes and save to a new dataset:
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--repo_id lerobot/pusht \
--new_repo_id lerobot/pusht_filtered \
--operation.type delete_episodes \
--operation.episode_indices "[0, 2, 5]"
Split dataset by fractions:
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--repo_id lerobot/pusht \
--operation.type split \
--operation.splits '{"train": 0.8, "val": 0.2}'
Split dataset by episode indices:
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--repo_id lerobot/pusht \
--operation.type split \
--operation.splits '{"train": [0, 1, 2, 3], "val": [4, 5]}'
Split into more than two splits:
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--repo_id lerobot/pusht \
--operation.type split \
--operation.splits '{"train": 0.6, "val": 0.2, "test": 0.2}'
Merge multiple datasets:
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--repo_id lerobot/pusht_merged \
--operation.type merge \
--operation.repo_ids "['lerobot/pusht_train', 'lerobot/pusht_val']"
Remove camera feature:
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--repo_id lerobot/pusht \
--operation.type remove_feature \
--operation.feature_names "['observation.images.top']"
Modify tasks - set a single task for all episodes (WARNING: modifies in-place):
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--repo_id lerobot/pusht \
--operation.type modify_tasks \
--operation.new_task "Pick up the cube and place it"
Modify tasks - set different tasks for specific episodes (WARNING: modifies in-place):
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--repo_id lerobot/pusht \
--operation.type modify_tasks \
--operation.episode_tasks '{"0": "Task A", "1": "Task B", "2": "Task A"}'
Modify tasks - set default task with overrides for specific episodes (WARNING: modifies in-place):
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--repo_id lerobot/pusht \
--operation.type modify_tasks \
--operation.new_task "Default task" \
--operation.episode_tasks '{"5": "Special task for episode 5"}'
Convert image dataset to video format and save locally:
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--repo_id lerobot/pusht_image \
--operation.type convert_image_to_video \
--operation.output_dir /path/to/output/pusht_video
Convert image dataset to video format and save with new repo_id:
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--repo_id lerobot/pusht_image \
--new_repo_id lerobot/pusht_video \
--operation.type convert_image_to_video
Convert image dataset to video format and push to hub:
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--repo_id lerobot/pusht_image \
--new_repo_id lerobot/pusht_video \
--operation.type convert_image_to_video \
--push_to_hub true
Show dataset information:
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--repo_id lerobot/pusht_image \
--operation.type info \
--operation.show_features true
Show dataset information without feature details:
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--repo_id lerobot/pusht_image \
--operation.type info \
--operation.show_features false
Using JSON config file:
python -m lerobot.scripts.lerobot_edit_dataset \
lerobot-edit-dataset \
--config_path path/to/edit_config.json
"""
+1 -1
View File
@@ -22,7 +22,7 @@ lerobot-replay \
--robot.type=so100_follower \
--robot.port=/dev/tty.usbmodem58760431541 \
--robot.id=black \
--dataset.repo_id=aliberts/record-test \
--dataset.repo_id=<USER>/record-test \
--dataset.episode=0
```