community_dataset_v1_v3

HuggingFaceVLA/community_dataset_v1 with every sub-dataset migrated to the LeRobot v3.0 dataset format, so it loads directly with lerobot ≥ 0.4 (LeRobotDataset(repo_id, root=...)) without per-dataset conversion.

Conversion is fully reproducible with lerobot-dataset-tools; the exact per-dataset log is in conversion_manifest.jsonl.

Usage

This is an umbrella repo: every <user>/<dataset> subtree is an independent LeRobotDataset (hence no dataset viewer). Download a subtree and point lerobot at it:

from huggingface_hub import snapshot_download
from lerobot.datasets.lerobot_dataset import LeRobotDataset

name = "00ri/so100_battery"  # any sub-dataset in this repo
root = snapshot_download(
    "mcobzarenco/community_dataset_v1_v3",
    repo_type="dataset",
    allow_patterns=[f"{name}/**"],
    local_dir="./data",
)
dataset = LeRobotDataset(name, root=f"./data/{name}")

or with the CLI:

hf download mcobzarenco/community_dataset_v1_v3 --repo-type=dataset --include "00ri/so100_battery/**" --local-dir ./data

Statistics

	source	converted
sub-datasets	128 (4× v2.0, 124× v2.1)	128 (all v3.0)
episodes	11,132	11,132
frames	5,105,808	5,105,810
size	258.8 GB	128.6 GB

The size reduction is not compression: the source repos ship most videos twice (a stray flat tree next to the real one); only the canonical copies are converted. Videos are stream-copied, never re-encoded.

What the conversion does

Per sub-dataset (see the tools repo for code):

1. Copy the dataset, skipping stray duplicate video trees and *.bak files.
2. Drop parquet columns not declared in info.json features (legacy leftovers such as next.done break v3.0 schema casting).
3. Repair the collection-wide stats-key bug (stats keyed observation.<cam> while features are observation.images.<cam>).
4. For v2.0 sources: synthesize meta/episodes_stats.jsonl (numeric stats exact from parquet; per-episode image stats from ~100 sampled frames per camera, matching lerobot's own conventions) and bump to v2.1.
5. Run the official lerobot.scripts.convert_dataset_v21_to_v30 converter (with an ffmpeg concat fallback for episodes whose packets carry duplicate/non-monotonic DTS, which PyAV refuses to mux).
6. Validate: reload with LeRobotDataset, check episode/frame counts, and verify per-episode length == index-range == video-span × fps per camera.

Reproduce

git clone https://github.com/mcobzarenco/lerobot-dataset-tools && cd lerobot-dataset-tools
uv run hf download HuggingFaceVLA/community_dataset_v1 --repo-type=dataset --local-dir ./source
uv run python -m ldtools.convert_collection \
    --source ./source --output ./converted --workers 12
uv run python -m ldtools.dataset_card \
    --source ./source --output ./converted \
    --source-repo HuggingFaceVLA/community_dataset_v1 --target-repo mcobzarenco/community_dataset_v1_v3 --write

Provenance & license

All data originates from HuggingFaceVLA/community_dataset_v1 (community-contributed robot demonstrations, Apache-2.0). This repo changes the storage format only: actions, states, task strings and video content are unmodified (videos are stream-copied; v2.0 per-episode image stats are sampled approximations).

Generated 2026-07-23 by lerobot-dataset-tools.