Datasets:

---

snowfire

/

icml2026-agent-reproductions

like 0

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'eps', 'min_samples'}) and 3 missing columns ({'cum_viol_unsafe', 't', 'cum_viol_safe'}).

This happened while the csv dataset builder was generating data using

hf://datasets/snowfire/icml2026-agent-reproductions/repro/batch1/p14827-constrained-meta-rl/results/lower_bound.csv (at revision 51849db66a78956370ad6dafba21ef512045e336), ['hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p14827-constrained-meta-rl/results/c1a_violation.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p14827-constrained-meta-rl/results/lower_bound.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p14827-constrained-meta-rl/results/sample_complexity.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p17031-wildcat/results/c1a_error_vs_m.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p17031-wildcat/results/c1c_runtime.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p17031-wildcat/results/c2_kv_cache.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p26322-dimensionality/results/claim1_concentration.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p26322-dimensionality/results/claim2_recovery.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch2/p16192-infinite-dim-diffusion/results/c1_decomposition.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch2/p16192-infinite-dim-diffusion/results/c2_sgt.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch2/p19651-pac-labels/results/c1_coverage.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch2/p19651-pac-labels/results/c2_nonasymptotic.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch2/p20834-group-elicitation/results/elicitation.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch3/p10197-mechanistic-forecasting/results/per_config.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch3/p10197-mechanistic-forecasting/results/runs.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch3/p30009-histbench/results/audit_summary.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch3/p30009-histbench/results/language_histogram.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch3/p3127-esg-geometry/results/c1_forecast.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch3/p3127-esg-geometry/results/c2_diagnostics.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch1/p2029-reponavigator/results/final_dice.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch1/p2029-reponavigator/results/scaling_law.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch1/p3506-soar-curriculum/results/learning_curves.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch1/p3506-soar-curriculum/results/teacher_offset.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch1/p4684-stable-gflownet/results/fluency.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch1/p4684-stable-gflownet/results/tb_vs_ctb.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch2/p3277-sustainable-ai/results/summary.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch2/p4149-eeg-fm-bench/results/summary.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch2/p5243-memory-reconstructed/results/summary.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch2/p5907-3viewsense/results/summary.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._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
              eps: double
              min_samples: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 503
              to
              {'t': Value('int64'), 'cum_viol_safe': Value('float64'), 'cum_viol_unsafe': Value('float64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({'eps', 'min_samples'}) and 3 missing columns ({'cum_viol_unsafe', 't', 'cum_viol_safe'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/snowfire/icml2026-agent-reproductions/repro/batch1/p14827-constrained-meta-rl/results/lower_bound.csv (at revision 51849db66a78956370ad6dafba21ef512045e336), ['hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p14827-constrained-meta-rl/results/c1a_violation.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p14827-constrained-meta-rl/results/lower_bound.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p14827-constrained-meta-rl/results/sample_complexity.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p17031-wildcat/results/c1a_error_vs_m.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p17031-wildcat/results/c1c_runtime.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p17031-wildcat/results/c2_kv_cache.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p26322-dimensionality/results/claim1_concentration.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch1/p26322-dimensionality/results/claim2_recovery.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch2/p16192-infinite-dim-diffusion/results/c1_decomposition.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch2/p16192-infinite-dim-diffusion/results/c2_sgt.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch2/p19651-pac-labels/results/c1_coverage.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch2/p19651-pac-labels/results/c2_nonasymptotic.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch2/p20834-group-elicitation/results/elicitation.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch3/p10197-mechanistic-forecasting/results/per_config.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch3/p10197-mechanistic-forecasting/results/runs.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch3/p30009-histbench/results/audit_summary.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch3/p30009-histbench/results/language_histogram.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch3/p3127-esg-geometry/results/c1_forecast.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/batch3/p3127-esg-geometry/results/c2_diagnostics.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch1/p2029-reponavigator/results/final_dice.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch1/p2029-reponavigator/results/scaling_law.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch1/p3506-soar-curriculum/results/learning_curves.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch1/p3506-soar-curriculum/results/teacher_offset.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch1/p4684-stable-gflownet/results/fluency.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch1/p4684-stable-gflownet/results/tb_vs_ctb.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch2/p3277-sustainable-ai/results/summary.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch2/p4149-eeg-fm-bench/results/summary.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch2/p5243-memory-reconstructed/results/summary.csv', 'hf://datasets/snowfire/icml2026-agent-reproductions@51849db66a78956370ad6dafba21ef512045e336/repro/set2/batch2/p5907-3viewsense/results/summary.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)