The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Expected object or value
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 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 281, in _generate_tables
examples = [ujson_loads(line) for line in batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or valueNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
π§ͺ Bench2Dex Leaderboard Logs
Community evaluation logs for the Bench2Dex leaderboard. Submit your policy's README, results JSON, and organization logo separately to the GitHub leaderboard repository.
π¦ Submit your policy logs
Copy policy_template/, rename the policy directory and results JSON, and place your policy directly at the repository root:
<policy_id>/
βββ README.md
βββ leaderboard_<policy_id>.json
βββ per_task_eval/
βββ <task_id>_<task_name>/
βββ <channel>/
βββ per_episode.jsonl
βββ summary.json
The example logs mirror native Bench2Dex output, with null placeholders. Replace them with your complete sanitized evaluation files and remove unused example directories; do not fill the examples by hand.
Copy the README/results JSON from your GitHub submission. Use the same policy ID in the directory, filename, and model.id.
- Submit the original
per_episode.jsonlandsummary.jsongenerated by Bench2Dex, after sanitization. Preserve the full native JSON structure, fields, and units. Do not convert logs to another schema or add template fields. - Include all successful, failed, and error episodes from one selected run per task/channel. Report actual episode counts, budgets, and protocol changes.
- Submit at least Full results and logs; all four channels and SR, LSCR, Eff. are encouraged. List all 26 tasks in the results JSON, using
null(NR) for missing scores. - Results JSON channel keys are None, Equi., Inv., Full; directory names are None, Equi, Inv, Full. Retain the original channel metadata inside the native files.
- Only the leaderboard results JSON uses SR/LSCR percentages on 0β100 and Eff. as a ratio. Keep native log values unchanged; compute the published scores using the metric definitions.
- In the results JSON, use
source.runIdto identify the selected run and paths relative to<policy_id>/forsource.perEpisodeFileandsource.summaryFile. Setevaluation.logs.repositorytoBench2Dex/LeaderboardandpolicyPathto your policy ID. These submission references do not need to be added to the native logs.
π€ Review
Open PRs against main here and in the GitHub leaderboard repository, then cross-link them. Policy IDs, scores, coverage, and protocol must agree. Authors may leave evaluation.logs.revision as null; after log review, maintainers record the accepted HF commit in the GitHub results JSON before publishing the entry.
π Privacy and permissions
Replace private absolute paths with relative paths or consistent anonymized identifiers, including nested asset paths and error messages. Redact credentials, personal/confidential information, internal URLs, and restricted content in files, media, links, and PR descriptions. Preserve native fields, metrics, episode counts, seeds, task/channel identity, and randomization/protocol metadata. Confirm publication rights under applicable licenses and data-use terms.
π Citation
@article{yang2026bench2dex,
title={Bench2Dex: Benchmarking Visuo-Tactile Bimanual Dexterous Manipulation Across Dexterous Hands},
author={Yang, Zhenjie and Zhang, Yideng and Zhang, Dongjie and Jiang, Chenyu and Liu, Xianshuai and Li, Yufeng and Ge, Zuhao and Jiao, Xingyu and Zhang, Zheng and He, Kaiyu and others},
journal={arXiv preprint arXiv:2609.15726},
year={2026}
}
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