vvm
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6 items • Updated
Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: ValueError
Message: Invalid string class label data
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2572, in __iter__
example = _apply_feature_types_on_example(
example, self.features, token_per_repo_id=self.token_per_repo_id
)
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2489, in _apply_feature_types_on_example
encoded_example = features.encode_example(example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2244, in encode_example
return encode_nested_example(self, example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1518, in encode_nested_example
{k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1541, in encode_nested_example
return schema.encode_example(obj) if obj is not None else None
~~~~~~~~~~~~~~~~~~~~~^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1210, in encode_example
example_data = self.str2int(example_data)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1147, in str2int
output = [self._strval2int(value) for value in values]
~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1168, in _strval2int
raise ValueError(f"Invalid string class label {value}")
ValueError: Invalid string class label dataNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
FineART videos
The camera videos of FineART (Scale AI and
Hugging Face LeRobot), repackaged as one mp4 file per episode and camera for video-model training.
The source is lerobot/FineART at revision
135d9b0377a629058541c37ad1503fd4c2597848. Only the videos are kept; the per-frame robot state,
action and subtask-annotation parquet files are not included.
- 40,543 episodes x 4 camera views = 162,172 videos (about 1.83 TB)
- 640x360, 30 fps, H.264 (yuv420p), no audio
- Each source video file holds exactly one episode, so the mp4 files here are byte-for-byte copies of the source files; nothing was re-encoded or cut.
- 5,122 videos (3.2%) decode to a few more frames than the episode
lengthin the source metadata (always more, never fewer). The files are unchanged; the manifests use the decoded frame counts.
Layout
data/data.json [{id, video_path, split, category}], one entry per video
data/<view>-NNN.zip ~10 GB per archive (stored, not compressed)
members: <view>/episode_NNNNNN.mp4
manifests/<view>/<setting>/ clip manifests (manifest.json + meta.yaml)
<view> is one of cam_high, cam_low, cam_left_wrist, cam_right_wrist. In data.json,
split is the view and category is the episode's task text. The same episode index refers to
the same episode in all four views.
Download and extract (one view, for example cam_high):
hf download stzhao/fineart_video --repo-type dataset --local-dir fineart_video \
--include "data/data.json" "data/cam_high-*.zip" "manifests/cam_high/*"
cd fineart_video/data && for z in cam_high-*.zip; do unzip -q "$z"; done
After extraction, each data/<view>/ directory is a video root, and the manifests' paths are
relative to it.
Clip manifests
Each manifest lists (video, start frame) records: every video is cut from frame 0 into
non-overlapping windows of source_frame_span = 1 + (rgb_seq_len - 1) * frame_interval frames,
and the incomplete tail is discarded. All 40,543 episodes are long enough for every setting.
| Setting | Frames / interval | Span | cam_high |
cam_low |
cam_left_wrist |
cam_right_wrist |
|---|---|---|---|---|---|---|
cond1gen15_interval1 |
16 / 1 | 16 | 11,578,824 | 11,578,626 | 11,578,601 | 11,578,944 |
cond1gen15_interval3 |
16 / 3 | 46 | 4,014,157 | 4,014,077 | 4,014,075 | 4,014,190 |
cond1gen16_interval3 |
17 / 3 | 49 | 3,767,221 | 3,767,136 | 3,767,133 | 3,767,234 |
(clips per view)
License and citation
FineART is released under CC BY 4.0 by Scale AI and Hugging Face LeRobot. If you use these videos, please cite the original dataset:
@article{choghari2026fineart,
title = {{FineART}: Fine-Grained Annotated Robotic Trajectory Dataset and Vision-Language-Action Model for Bimanual Manipulation},
author = {Choghari, Jade and Kooijmans, Pepijn and Agarwal, Mansi and Ciftci, Yusuf Umut and Doriwala, Aseem and Weaver, Catherine and Sivapurapu, Mouli and Yang, Kai and Wolf, Thomas and Lee, Jackson and Mannam, Pragna},
journal = {arXiv preprint arXiv:2609.36416},
year = {2026},
url = {https://arxiv.org/abs/2609.36416}
}
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