Datasets:

MarxistLeninist
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repro-capbencher-oCNT5PcMSQ-bundle

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Split (1)
train
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:    CastError
Message:      Couldn't cast
protocol.md: string
README.md: string
requirements.txt: string
run_experiments.py: string
STATUS.md: string
figures/claim1_affine_ceiling.png: string
figures/claim2_monotone.png: string
figures/claim3_typeI.png: string
figures/claim4_table1.png: string
jobrun/hf_job.py: string
logs/git_log.txt: string
logs/protocol.md: string
outputs/claim1_grid.csv: string
outputs/claim2_ranking.csv: string
outputs/claim3_typeI.csv: string
outputs/claim4_nsweep.csv: string
outputs/claim4_table1.csv: string
outputs/environment.json: string
outputs/hf_job.json: string
outputs/manifest_sha256.json: string
outputs/summary.json: string
poster/poster.html: string
poster/poster_embed.html: string
poster/style_check.json: string
src/capbencher.py: string
src/__pycache__/capbencher.cpython-312.pyc: string
tests/test_capbencher.py: string
tests/__pycache__/test_capbencher.cpython-312-pytest-9.1.1.pyc: string
completed_at: string
claims_toy: int64
maximum_possible_points: int64
hf_job_running_seconds: int64
maximum_points_note: string
agent: string
claims_inconclusive: int64
bundle_download_url: string
results_dataset_url: string
artifact_url: string
hf_job_url: string
started_at: timestamp[s]
claims_detail: struct<C1_capping_mechanism: string, C2_monotone_tracking: string, C3_exact_binomial: string, C4_mod (... 22 chars omitted)
  child 0, C1_capping_mechanism: string
  child 1, C2_monotone_tracking: string
  child 2, C3_exact_binomial: string
  child 3, C4_model_merge_flag: string
public_logbook_url: string
claims_full: int64
openreview_id: string
public_logbook_rendered: string
title: string
arxiv_id: string
status: string
estimated_cost_usd: double
claims_falsified: int64
hf_job_flavor: string
to
{'agent': Value('string'), 'title': Value('string'), 'openreview_id': Value('string'), 'arxiv_id': Value('string'), 'maximum_possible_points': Value('int64'), 'maximum_points_note': Value('string'), 'claims_full': Value('int64'), 'claims_toy': Value('int64'), 'claims_falsified': Value('int64'), 'claims_inconclusive': Value('int64'), 'claims_detail': {'C1_capping_mechanism': Value('string'), 'C2_monotone_tracking': Value('string'), 'C3_exact_binomial': Value('string'), 'C4_model_merge_flag': Value('string')}, 'status': Value('string'), 'public_logbook_url': Value('string'), 'public_logbook_rendered': Value('string'), 'artifact_url': Value('string'), 'results_dataset_url': Value('string'), 'bundle_download_url': Value('string'), 'hf_job_url': Value('string'), 'hf_job_flavor': Value('string'), 'hf_job_running_seconds': Value('int64'), 'estimated_cost_usd': Value('float64'), 'started_at': Value('timestamp[s]'), 'completed_at': Value('string')}
because column names don't match
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 489, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              protocol.md: string
              README.md: string
              requirements.txt: string
              run_experiments.py: string
              STATUS.md: string
              figures/claim1_affine_ceiling.png: string
              figures/claim2_monotone.png: string
              figures/claim3_typeI.png: string
              figures/claim4_table1.png: string
              jobrun/hf_job.py: string
              logs/git_log.txt: string
              logs/protocol.md: string
              outputs/claim1_grid.csv: string
              outputs/claim2_ranking.csv: string
              outputs/claim3_typeI.csv: string
              outputs/claim4_nsweep.csv: string
              outputs/claim4_table1.csv: string
              outputs/environment.json: string
              outputs/hf_job.json: string
              outputs/manifest_sha256.json: string
              outputs/summary.json: string
              poster/poster.html: string
              poster/poster_embed.html: string
              poster/style_check.json: string
              src/capbencher.py: string
              src/__pycache__/capbencher.cpython-312.pyc: string
              tests/test_capbencher.py: string
              tests/__pycache__/test_capbencher.cpython-312-pytest-9.1.1.pyc: string
              completed_at: string
              claims_toy: int64
              maximum_possible_points: int64
              hf_job_running_seconds: int64
              maximum_points_note: string
              agent: string
              claims_inconclusive: int64
              bundle_download_url: string
              results_dataset_url: string
              artifact_url: string
              hf_job_url: string
              started_at: timestamp[s]
              claims_detail: struct<C1_capping_mechanism: string, C2_monotone_tracking: string, C3_exact_binomial: string, C4_mod (... 22 chars omitted)
                child 0, C1_capping_mechanism: string
                child 1, C2_monotone_tracking: string
                child 2, C3_exact_binomial: string
                child 3, C4_model_merge_flag: string
              public_logbook_url: string
              claims_full: int64
              openreview_id: string
              public_logbook_rendered: string
              title: string
              arxiv_id: string
              status: string
              estimated_cost_usd: double
              claims_falsified: int64
              hf_job_flavor: string
              to
              {'agent': Value('string'), 'title': Value('string'), 'openreview_id': Value('string'), 'arxiv_id': Value('string'), 'maximum_possible_points': Value('int64'), 'maximum_points_note': Value('string'), 'claims_full': Value('int64'), 'claims_toy': Value('int64'), 'claims_falsified': Value('int64'), 'claims_inconclusive': Value('int64'), 'claims_detail': {'C1_capping_mechanism': Value('string'), 'C2_monotone_tracking': Value('string'), 'C3_exact_binomial': Value('string'), 'C4_model_merge_flag': Value('string')}, 'status': Value('string'), 'public_logbook_url': Value('string'), 'public_logbook_rendered': Value('string'), 'artifact_url': Value('string'), 'results_dataset_url': Value('string'), 'bundle_download_url': Value('string'), 'hf_job_url': Value('string'), 'hf_job_flavor': Value('string'), 'hf_job_running_seconds': Value('int64'), 'estimated_cost_usd': Value('float64'), 'started_at': Value('timestamp[s]'), 'completed_at': Value('string')}
              because column names don't match
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Reproduction bundle — CapBencher (oCNT5PcMSQ / arXiv 2505.18102)

Complete, self-contained reproduction workspace. Download repro-bundle.zip.
Rerun: pip install -r requirements.txt && python run_experiments.py --scale full --seed 0 && pytest -q
Result: C1,C2,C3 full - C4 partial (statistical decision full; LLM merge accuracy taken as reported).
Downloads last month: 10
Total file size:
533 kB