LeRobotDataset v2.1 (#711)
Co-authored-by: Remi <remi.cadene@huggingface.co> Co-authored-by: Remi Cadene <re.cadene@gmail.com>
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lerobot/common/datasets/v21/convert_dataset_v20_to_v21.py
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lerobot/common/datasets/v21/convert_dataset_v20_to_v21.py
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"""
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This script will help you convert any LeRobot dataset already pushed to the hub from codebase version 2.0 to
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2.1. It will:
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- Generate per-episodes stats and writes them in `episodes_stats.jsonl`
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- Check consistency between these new stats and the old ones.
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- Remove the deprecated `stats.json`.
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- Update codebase_version in `info.json`.
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- Push this new version to the hub on the 'main' branch and tags it with "v2.1".
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Usage:
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```bash
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python lerobot/common/datasets/v21/convert_dataset_v20_to_v21.py \
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--repo-id=aliberts/koch_tutorial
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```
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"""
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import argparse
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import logging
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from huggingface_hub import HfApi
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from lerobot.common.datasets.lerobot_dataset import CODEBASE_VERSION, LeRobotDataset
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from lerobot.common.datasets.utils import EPISODES_STATS_PATH, STATS_PATH, load_stats, write_info
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from lerobot.common.datasets.v21.convert_stats import check_aggregate_stats, convert_stats
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V20 = "v2.0"
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V21 = "v2.1"
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class SuppressWarnings:
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def __enter__(self):
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self.previous_level = logging.getLogger().getEffectiveLevel()
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logging.getLogger().setLevel(logging.ERROR)
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def __exit__(self, exc_type, exc_val, exc_tb):
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logging.getLogger().setLevel(self.previous_level)
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def convert_dataset(
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repo_id: str,
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branch: str | None = None,
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num_workers: int = 4,
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):
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with SuppressWarnings():
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dataset = LeRobotDataset(repo_id, revision=V20, force_cache_sync=True)
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if (dataset.root / EPISODES_STATS_PATH).is_file():
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(dataset.root / EPISODES_STATS_PATH).unlink()
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convert_stats(dataset, num_workers=num_workers)
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ref_stats = load_stats(dataset.root)
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check_aggregate_stats(dataset, ref_stats)
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dataset.meta.info["codebase_version"] = CODEBASE_VERSION
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write_info(dataset.meta.info, dataset.root)
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dataset.push_to_hub(branch=branch, allow_patterns="meta/")
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# delete old stats.json file
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if (dataset.root / STATS_PATH).is_file:
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(dataset.root / STATS_PATH).unlink()
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hub_api = HfApi()
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if hub_api.file_exists(
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repo_id=dataset.repo_id, filename=STATS_PATH, revision=branch, repo_type="dataset"
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):
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hub_api.delete_file(
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path_in_repo=STATS_PATH, repo_id=dataset.repo_id, revision=branch, repo_type="dataset"
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)
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hub_api.create_tag(repo_id, tag=CODEBASE_VERSION, revision=branch, repo_type="dataset")
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--repo-id",
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type=str,
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required=True,
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help="Repository identifier on Hugging Face: a community or a user name `/` the name of the dataset "
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"(e.g. `lerobot/pusht`, `cadene/aloha_sim_insertion_human`).",
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)
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parser.add_argument(
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"--branch",
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type=str,
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default=None,
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help="Repo branch to push your dataset. Defaults to the main branch.",
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)
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parser.add_argument(
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"--num-workers",
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type=int,
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default=4,
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help="Number of workers for parallelizing stats compute. Defaults to 4.",
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)
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args = parser.parse_args()
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convert_dataset(**vars(args))
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