Dataset Viewer
Duplicate
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:      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 value

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

πŸ§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.

πŸ“¦ 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>/
β”œβ”€β”€ README.md
β”œβ”€β”€ leaderboard_<policy_id>.json
└── per_task_eval/
    └── <task_id>_<task_name>/
        └── <channel>/
            β”œβ”€β”€ per_episode.jsonl
            └── 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.jsonl and summary.json generated 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 0–100 and Eff. as a ratio. Keep native log values unchanged; compute the published scores using the metric definitions.
  • In the results JSON, use source.runId to identify the selected run and paths relative to <policy_id>/ for source.perEpisodeFile and source.summaryFile. Set evaluation.logs.repository to Bench2Dex/Leaderboard and policyPath to your policy ID. These submission references do not need to be added to the native logs.

🀝 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.

πŸ”’ 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.

πŸ“ 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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