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The dataset generation failed because of a cast error
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 6 new columns ({'peak', 'station_ok', 'status', 'target', 'source', 'final'}) and 10 missing columns ({'crossings', 'peak_g', 'material', 'target_g', 'final_g', 'ended', 'start_g', 'err_g', 'notes', 'time_s'}).

This happened while the csv dataset builder was generating data using

hf://datasets/rtrtwrw/granular-material-pour-rollouts/camera_ready_2026-11/all_runs.csv (at revision 00b8523b3866e10ee7e00add14d7d700cc600a46), ['hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/ablation-A.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/ablation-B.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/act-cam_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/act-num_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/pi05-cam_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/pi05-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/pi05-num_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/rollout_log.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/v3.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/all_runs.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/logs/act-000.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/logs/act-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/logs/act-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/logs/pi05-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/logs/pi05-exc-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/logs/pi05-exc-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/logs/pi05-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/act-000.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/act-cam-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/act-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/act-num-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/act-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/pi05-cam-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/pi05-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/pi05-exc-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/pi05-exc-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/pi05-num-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/pi05-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/rollout_results_golden.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/takeback/takeback_labels.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/ablation-A.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/ablation-B.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/act-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/act-cam_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/act-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/act-num_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/pi05-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/pi05-cam_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/pi05-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/pi05-num_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/rollout_log.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/v3.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/ablation-A.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/ablation-B.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/act-cam-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/act-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/act-num-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/act-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/master_golden_4models.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/pi05-cam-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/pi05-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/pi05-num-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/pi05-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/v3.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 1856, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, 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 822, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              model: string
              source: string
              target: double
              final: double
              peak: double
              outcome: string
              setup: string
              started: string
              row: int64
              station_ok: bool
              status: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1502
              to
              {'row': Value('int64'), 'model': Value('string'), 'material': Value('string'), 'target_g': Value('float64'), 'final_g': Value('float64'), 'err_g': Value('float64'), 'time_s': Value('float64'), 'outcome': Value('string'), 'peak_g': Value('float64'), 'start_g': Value('float64'), 'crossings': Value('int64'), 'started': Value('string'), 'ended': Value('string'), 'setup': Value('string'), 'notes': Value('string')}
              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 1379, 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 956, 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 1702, 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 1858, 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 6 new columns ({'peak', 'station_ok', 'status', 'target', 'source', 'final'}) and 10 missing columns ({'crossings', 'peak_g', 'material', 'target_g', 'final_g', 'ended', 'start_g', 'err_g', 'notes', 'time_s'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/rtrtwrw/granular-material-pour-rollouts/camera_ready_2026-11/all_runs.csv (at revision 00b8523b3866e10ee7e00add14d7d700cc600a46), ['hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/ablation-A.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/ablation-B.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/act-cam_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/act-num_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/pi05-cam_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/pi05-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/pi05-num_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/rollout_log.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/audit_2026-10-03/v3.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/all_runs.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/logs/act-000.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/logs/act-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/logs/act-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/logs/pi05-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/logs/pi05-exc-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/logs/pi05-exc-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/logs/pi05-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/act-000.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/act-cam-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/act-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/act-num-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/act-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/pi05-cam-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/pi05-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/pi05-exc-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/pi05-exc-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/pi05-num-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/plans/pi05-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/rollout_results_golden.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/camera_ready_2026-11/takeback/takeback_labels.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/ablation-A.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/ablation-B.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/act-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/act-cam_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/act-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/act-num_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/pi05-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/pi05-cam_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/pi05-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/pi05-num_session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/rollout_log.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/full/v3.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/ablation-A.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/ablation-B.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/act-cam-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/act-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/act-num-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/act-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/master_golden_4models.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/pi05-cam-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/pi05-cam.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/pi05-num-session1.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/pi05-num.csv', 'hf://datasets/rtrtwrw/granular-material-pour-rollouts@00b8523b3866e10ee7e00add14d7d700cc600a46/plans/v3.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)

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.

row
int64
model
string
material
string
target_g
float64
final_g
float64
err_g
float64
time_s
float64
outcome
string
peak_g
float64
start_g
float64
crossings
int64
started
string
ended
string
setup
string
notes
null
1
pi05-granular-ablation-A_deep
Flour
220
210.4
-9.6
236.2
OSC
526.4
0.2
139
16:33:46
16:37:42
clean; tared | A-trained
null
2
pi05-granular-ablation-A_deep
Flour
250
248.6
-1.4
170.6
OK
460.6
0
204
16:38:56
16:41:46
clean; tared | A-trained
null
3
pi05-granular-ablation-A_deep
Flour
280
300.9
20.9
89.5
OSC
484.3
-0.2
22
16:43:12
16:44:41
clean; tared | A-trained
null
4
pi05-granular-ablation-A_deep
Flour
310
332.5
22.5
231.1
OSC
538.2
-0.1
38
16:45:59
16:49:51
clean; tared | A-trained
null
5
pi05-granular-ablation-A_deep
Flour
340
349.6
9.6
139.5
OSC
493.4
-0.1
42
16:51:08
16:53:28
clean; tared | A-trained
null
6
pi05-granular-ablation-A_deep
Flour
370
374.6
4.6
154.5
OK
557.6
0.1
384
16:54:54
16:57:28
clean; tared | A-trained
null
7
pi05-granular-ablation-A_deep
Flour
400
380.9
-19.1
123.5
OSC
569.4
0
149
16:58:48
17:00:51
clean; tared | A-trained
null
8
pi05-granular-ablation-A_deep
Flour
430
277.4
-152.6
94
LOW
444.7
0.1
3
17:02:06
17:03:40
clean; tared | A-trained
null
9
pi05-granular-ablation-A_deep
Flour
460
339.1
-120.9
265.3
OSC
624.9
-0.1
15
17:05:13
17:09:38
clean; tared | A-trained
null
10
pi05-granular-ablation-A_deep
Flour
490
347.8
-142.2
311.4
LOW
503.5
-0.1
2
17:11:29
17:16:41
clean; tared | A-trained
null
11
pi05-granular-ablation-A_deep
Flour
225
261.4
36.4
231.6
OSC
551.1
-0.1
26
17:18:36
17:22:28
clean; tared | A-unseen
null
12
pi05-granular-ablation-A_deep
Flour
255
263.9
8.9
190.5
OSC
531
-0.1
156
17:23:51
17:27:02
clean; tared | A-unseen
null
13
pi05-granular-ablation-A_deep
Flour
285
249.8
-35.2
199.7
OSC
502.6
-0.6
21
17:28:22
17:31:42
clean; tared | A-unseen
null
14
pi05-granular-ablation-A_deep
Flour
315
343.8
28.8
333
OSC
834.2
-0.1
279
17:33:00
17:38:33
clean; tared | A-unseen
null
15
pi05-granular-ablation-A_deep
Flour
345
235.2
-109.8
105.9
LOW
369.9
-0
2
17:39:53
17:41:39
clean; tared | A-unseen
null
16
pi05-granular-ablation-A_deep
Flour
375
297.9
-77.1
96.5
LOW
441.2
-0.1
2
17:43:01
17:44:37
clean; tared | A-unseen
null
17
pi05-granular-ablation-A_deep
Flour
405
324.3
-80.7
111
LOW
441.2
-0.3
2
17:46:04
17:47:55
clean; tared | A-unseen
null
18
pi05-granular-ablation-A_deep
Flour
435
402.5
-32.5
140
OSC
561
0.2
5
17:49:19
17:51:39
clean; tared | A-unseen
null
19
pi05-granular-ablation-A_deep
Flour
465
335.9
-129.1
150
OSC
514.4
-0.1
8
17:53:08
17:55:38
clean; tared | A-unseen
null
20
pi05-granular-ablation-A_deep
Flour
495
496.2
1.2
519.7
OK
852.5
0.1
310
17:57:08
18:05:48
clean; tared | A-unseen
null
1
pi05-granular-ablation-B_wide
Flour
220
278
58
225.1
OSC
700.1
-0.9
24
18:08:05
18:11:50
clean; tared | A-trained
null
2
pi05-granular-ablation-B_wide
Flour
250
267.4
17.4
345.1
OSC
641.1
0.1
395
18:17:28
18:23:14
clean; tared | A-trained
null
3
pi05-granular-ablation-B_wide
Flour
280
202.1
-77.9
191.5
OSC
569.9
-0.1
12
18:24:37
18:27:48
clean; tared | A-trained
null
4
pi05-granular-ablation-B_wide
Flour
310
279.5
-30.5
213.6
OSC
523.2
0.1
11
18:30:36
18:34:09
clean; tared | A-trained
null
5
pi05-granular-ablation-B_wide
Flour
340
195.6
-144.4
159.1
LOW
361.4
-0.1
0
18:35:38
18:38:17
clean; tared | A-trained
null
6
pi05-granular-ablation-B_wide
Flour
370
324.2
-45.8
139.6
OSC
648.6
-0.1
6
18:40:18
18:42:38
clean; tared | A-trained
null
7
pi05-granular-ablation-B_wide
Flour
400
322.4
-77.6
146.3
OSC
498.6
-0.1
4
18:43:59
18:46:26
clean; tared | A-trained
null
8
pi05-granular-ablation-B_wide
Flour
430
339.8
-90.2
247.2
OSC
588.4
-0.1
12
18:47:51
18:51:58
clean; tared | A-trained
null
9
pi05-granular-ablation-B_wide
Flour
460
301.3
-158.7
132.1
LOW
448.4
0
0
18:53:29
18:55:41
clean; tared | A-trained
null
10
pi05-granular-ablation-B_wide
Flour
490
319.7
-170.3
649.7
LOW
435.4
0.1
0
18:57:44
19:08:34
clean; tared | A-trained
null
11
pi05-granular-ablation-B_wide
Flour
225
156
-69
191.8
LOW
186.8
-0
0
19:09:52
19:13:04
clean; tared | A-unseen
null
12
pi05-granular-ablation-B_wide
Flour
255
150
-105
108.5
LOW
184.2
-0.3
0
19:14:27
19:16:16
clean; tared | A-unseen
null
13
pi05-granular-ablation-B_wide
Flour
285
335.1
50.1
188
OSC
719.5
0.3
64
09:19:31
09:22:39
clean; tared | A-unseen
null
14
pi05-granular-ablation-B_wide
Flour
315
263.2
-51.8
148.9
OSC
615.2
-0.2
18
09:24:14
09:26:43
clean; tared | A-unseen
null
15
pi05-granular-ablation-B_wide
Flour
345
236.3
-108.7
128.9
OSC
453.6
-0.2
4
09:28:05
09:30:14
clean; tared | A-unseen
null
16
pi05-granular-ablation-B_wide
Flour
375
285.6
-89.4
185.1
OSC
510.5
0.1
5
09:31:46
09:34:52
clean; tared | A-unseen
null
17
pi05-granular-ablation-B_wide
Flour
405
295
-110
109.9
OSC
1,195.5
-0.1
5
09:36:14
09:38:04
clean; tared | A-unseen
null
18
pi05-granular-ablation-B_wide
Flour
435
444.3
9.3
225.8
OSC
670.2
-0.2
410
09:39:36
09:43:22
clean; tared | A-unseen
null
19
pi05-granular-ablation-B_wide
Flour
465
269.8
-195.2
228
OSC
507
0.1
5
09:45:28
09:49:16
clean; tared | A-unseen
null
20
pi05-granular-ablation-B_wide
Flour
495
200.1
-294.9
157.8
LOW
492
-0.2
1
09:50:37
09:53:15
clean; tared | A-unseen
null
1
act_bw_A_4cam_no_scale:100000
Buckwheat
350
409.8
59.8
77.4
HIGH
410.6
0
1
11:55:40
11:56:58
clean; tared; pan empty
null
2
act_bw_A_4cam_no_scale:100000
Buckwheat
380
-0.6
-380.6
117.5
LOW
448
-0.5
2
11:57:23
11:59:21
clean; tared; pan empty
null
3
act_bw_A_4cam_no_scale:100000
Buckwheat
400
443.3
43.3
100.8
HIGH
446.1
-0.1
1
11:59:40
12:01:21
clean; tared; pan empty
null
4
act_bw_A_4cam_no_scale:100000
Buckwheat
420
423.7
3.7
87
OK
425.5
0.1
3
12:01:56
12:03:23
clean; tared; pan empty
null
5
act_bw_A_4cam_no_scale:100000
Buckwheat
440
484.3
44.3
153.6
HIGH
485.7
-0.1
1
12:03:47
12:06:21
clean; tared; pan empty
null
6
act_bw_A_4cam_no_scale:100000
Buckwheat
460
430.7
-29.3
146.6
LOW
433.5
0.1
0
12:06:47
12:09:14
clean; tared; pan empty
null
1
act_bw_B_3cam_with_scale:100000
Buckwheat
350
358
8
109
HIGH
360.1
0.1
2
12:11:14
12:13:03
clean; tared; pan empty
null
2
act_bw_B_3cam_with_scale:100000
Buckwheat
380
360.5
-19.5
53.9
LOW
362.8
-0.3
0
12:13:28
12:14:22
clean; tared; pan empty
null
3
act_bw_B_3cam_with_scale:100000
Buckwheat
400
389.4
-10.6
69.1
LOW
393.9
0.1
0
12:14:47
12:15:56
clean; tared; pan empty
null
4
act_bw_B_3cam_with_scale:100000
Buckwheat
420
403.6
-16.4
46.3
LOW
404.3
-0
0
12:16:29
12:17:15
clean; tared; pan empty
null
5
act_bw_B_3cam_with_scale:100000
Buckwheat
440
429.5
-10.5
45.9
LOW
479.1
0.1
1
12:17:44
12:18:29
clean; tared; pan empty
null
6
act_bw_B_3cam_with_scale:100000
Buckwheat
460
446.3
-13.7
68.9
LOW
447.9
-0.1
0
12:18:44
12:19:53
clean; tared; pan empty
null
1
pi05-golden-bw-4cam_no_scale
Buckwheat
350
462.6
112.6
60.4
HIGH
470.3
-0.2
1
12:36:03
12:37:04
clean; tared; pan empty
null
2
pi05-golden-bw-4cam_no_scale
Buckwheat
380
205.3
-174.7
109.9
SUSPECT
236.9
-0.1
null
12:38:30
12:40:20
clean; tared; pan empty
null
3
pi05-golden-bw-4cam_no_scale
Buckwheat
400
448.8
48.8
75.1
HIGH
449.7
-0.2
1
12:41:46
12:43:01
clean; tared; pan empty
null
4
pi05-golden-bw-4cam_no_scale
Buckwheat
420
-0.3
-420.3
26.4
LOW
-0.2
-0.3
0
12:44:28
12:44:54
clean; tared; pan empty
null
5
pi05-golden-bw-4cam_no_scale
Buckwheat
440
0
-440
26.6
LOW
0.1
0
0
12:46:12
12:46:38
clean; tared; pan empty
null
1
pi05-golden-bw-4cam_no_scale
Buckwheat
350
445.9
95.9
142.4
HIGH
449
0.2
1
13:17:31
13:19:53
clean; tared; pan empty
null
2
pi05-golden-bw-4cam_no_scale
Buckwheat
380
437.7
57.7
110.4
HIGH
440.3
-0
1
13:21:38
13:23:29
clean; tared; pan empty
null
3
pi05-golden-bw-4cam_no_scale
Buckwheat
400
425
25
99.7
HIGH
426.6
0.1
1
13:24:51
13:26:31
clean; tared; pan empty
null
4
pi05-golden-bw-4cam_no_scale
Buckwheat
420
-0
-420
90.9
SUSPECT
-0
-0
null
13:27:52
13:29:23
clean; tared; pan empty
null
23
pi05-golden-bw-3cam_with_scale
Buckwheat
350
355.4
5.4
86.7
HIGH
356.9
-0.1
3
11:18:02
11:19:28
clean; tared; pan empty
null
23
pi05-golden-bw-3cam_with_scale
Buckwheat
350
348.8
-1.2
93.4
OK
349.8
-0.1
1
11:21:39
11:23:13
clean; tared; pan empty
null
24
pi05-golden-bw-3cam_with_scale
Buckwheat
360
353.8
-6.2
93.5
LOW
357.5
-0.1
2
11:24:54
11:26:27
clean; tared; pan empty
null
25
pi05-golden-bw-3cam_with_scale
Buckwheat
370
375.2
5.2
82.8
HIGH
378.4
-0
1
11:28:35
11:29:58
clean; tared; pan empty
null
26
pi05-golden-bw-3cam_with_scale
Buckwheat
380
392.7
12.7
84.9
HIGH
394.9
0.1
1
11:31:47
11:33:12
clean; tared; pan empty
null
27
pi05-golden-bw-3cam_with_scale
Buckwheat
390
389.6
-0.4
69.6
OK
390.1
-0.3
1
11:35:00
11:36:10
clean; tared; pan empty
null
28
pi05-golden-bw-3cam_with_scale
Buckwheat
400
421.5
21.5
87.1
HIGH
422
-0.1
1
11:37:54
11:39:22
clean; tared; pan empty
null
29
pi05-golden-bw-3cam_with_scale
Buckwheat
410
414.9
4.9
67.6
OK
417.7
-0.2
35
11:41:09
11:42:17
clean; tared; pan empty
null
30
pi05-golden-bw-3cam_with_scale
Buckwheat
420
454.9
34.9
70.7
HIGH
455.3
0.1
1
11:44:09
11:45:20
clean; tared; pan empty
null
31
pi05-golden-bw-3cam_with_scale
Buckwheat
430
452.8
22.8
67.8
OSC
457.5
-0.1
4
11:46:57
11:48:05
clean; tared; pan empty
null
32
pi05-golden-bw-3cam_with_scale
Buckwheat
440
458.2
18.2
61
HIGH
458.9
-1
1
11:50:01
11:51:02
clean; tared; pan empty
null
33
pi05-golden-bw-3cam_with_scale
Buckwheat
450
458.2
8.2
56.9
HIGH
458.5
-0.2
2
11:52:45
11:53:42
clean; tared; pan empty
null
53
pi05-golden-bw-3cam_with_scale
Buckwheat
400
408.7
8.7
64.2
HIGH
409.2
-0.5
1
11:55:30
11:56:34
clean; tared; pre-load 370 g
null
54
pi05-golden-bw-3cam_with_scale
Buckwheat
400
404.1
4.1
66.3
OK
405.3
-0.1
2
11:58:11
11:59:17
clean; tared; pre-load 400 g
null
55
pi05-golden-bw-3cam_with_scale
Buckwheat
400
411.2
11.2
86
HIGH
412
-0.8
2
12:01:00
12:02:26
clean; tared; pre-load 430 g
null
56
pi05-golden-bw-3cam_with_scale
Buckwheat
400
398.6
-1.4
101.5
OK
399.9
-0
2
12:06:51
12:08:32
clean; tared; pan empty; remove 20 g when the scale passes ~240 g
null
72
pi05-golden-bw-3cam_with_scale
Buckwheat
350
350.2
0.2
72.4
OK
350.9
-0.1
1
12:10:05
12:11:17
clean; tared; pan empty
null
73
pi05-golden-bw-3cam_with_scale
Buckwheat
360
382.4
22.4
81.8
HIGH
393.5
-0.2
2
12:12:57
12:14:19
clean; tared; pan empty
null
74
pi05-golden-bw-3cam_with_scale
Buckwheat
370
369.5
-0.5
63.7
OK
370.4
0
1
12:15:54
12:16:58
clean; tared; pan empty
null
75
pi05-golden-bw-3cam_with_scale
Buckwheat
380
377.3
-2.7
73.5
OK
378.1
-0
1
12:18:37
12:19:51
clean; tared; pan empty
null
76
pi05-golden-bw-3cam_with_scale
Buckwheat
390
-0.1
-390.1
19.9
LOW
0.2
-0.1
0
12:21:27
12:21:46
clean; tared; pan empty
null
77
pi05-golden-bw-3cam_with_scale
Buckwheat
400
412.7
12.7
81.7
HIGH
415.2
-0.1
1
12:23:25
12:24:47
clean; tared; pan empty
null
78
pi05-golden-bw-3cam_with_scale
Buckwheat
410
408.1
-1.9
83.9
OK
409.1
-0.1
1
12:26:21
12:27:45
clean; tared; pan empty
null
79
pi05-golden-bw-3cam_with_scale
Buckwheat
420
421.9
1.9
60.3
OK
424.2
-0.2
1
12:29:22
12:30:22
clean; tared; pan empty
null
80
pi05-golden-bw-3cam_with_scale
Buckwheat
430
429.6
-0.4
47
OK
430.3
-0.3
1
12:47:26
12:48:13
clean; tared; pan empty
null
81
pi05-golden-bw-3cam_with_scale
Buckwheat
440
441.6
1.6
62.4
OK
443.3
-0
1
12:50:04
12:51:06
clean; tared; pan empty
null
82
pi05-golden-bw-3cam_with_scale
Buckwheat
450
455.2
5.2
84.1
OSC
455.9
-0.1
25
12:52:43
12:54:07
clean; tared; pan empty
null
117
pi05-golden-bw-3cam_with_scale
Buckwheat
355
-0.1
-355.1
46.1
LOW
0.3
-0.1
0
12:56:22
12:57:08
clean; tared; pan empty
null
118
pi05-golden-bw-3cam_with_scale
Buckwheat
375
376.1
1.1
58.7
OK
376.7
-0.1
1
12:59:17
13:00:15
clean; tared; pan empty
null
119
pi05-golden-bw-3cam_with_scale
Buckwheat
395
398.6
3.6
52.8
OK
401.8
0
3
13:01:51
13:02:44
clean; tared; pan empty
null
120
pi05-golden-bw-3cam_with_scale
Buckwheat
415
416.6
1.6
55.1
OK
418.1
0.2
1
13:04:19
13:05:14
clean; tared; pan empty
null
121
pi05-golden-bw-3cam_with_scale
Buckwheat
435
447.4
12.4
57.5
HIGH
449.4
0
1
13:06:45
13:07:43
clean; tared; pan empty
null
122
pi05-golden-bw-3cam_with_scale
Buckwheat
445
444.6
-0.4
63.6
OK
446.6
-0
1
13:26:48
13:27:51
clean; tared; pan empty
null
135
pi05-golden-bw-3cam_with_scale
Buckwheat
340
362.5
22.5
45.8
HIGH
363.9
-0.2
1
13:29:27
13:30:13
clean; tared; pan empty
null
136
pi05-golden-bw-3cam_with_scale
Buckwheat
460
480.9
20.9
63.3
HIGH
484.9
-0.3
1
13:31:52
13:32:56
clean; tared; pan empty
null
137
pi05-golden-bw-3cam_with_scale
Buckwheat
330
332.7
2.7
79.9
OK
333.8
-0
1
13:34:33
13:35:53
clean; tared; pan empty
null
138
pi05-golden-bw-3cam_with_scale
Buckwheat
470
474.6
4.6
70
OK
477.1
-0.1
12
13:37:32
13:38:42
clean; tared; pan empty
null
139
pi05-golden-bw-3cam_with_scale
Buckwheat
300
316.5
16.5
52.7
HIGH
317.5
0.1
1
13:46:08
13:47:01
clean; tared; pan empty
null
140
pi05-golden-bw-3cam_with_scale
Buckwheat
500
496.8
-3.2
80.1
OK
498.2
-2.2
1
13:48:42
13:50:02
clean; tared; pan empty
null
End of preview.

granular-material-pour -- policy rollouts

Every rollout recorded on this station, as the scorer wrote it. These are the evaluations audited in the accompanying paper; the demonstrations they were trained on are published as one repository per session alongside this one.

Camera-ready evaluation (camera_ready_2026-11/)

The camera-ready version of the paper (November 2026) re-scores every rollout under one written rule and adds the three models trained only on the recovery demonstrations. Every number in its results table and appendix comes from this folder.

file
logs/ the per-model logs as the station wrote them, one row per attempt
rollout_results_golden.csv the first evaluation session (2 October), before the per-model logs
plans/ the target plan each model was run against
all_runs.csv every attempt from both sources, with the status the rule gave it
results.json the per-model results: counts, 95% intervals, slope, contact runs
analysis.py the rule and the statistics; python3 analysis.py recomputes everything

The rule. A pour is scored when the station ran the policy and read a settled weight (the median of the last second). A pour is not scored when the pan was moved or emptied before the reading, when the policy never started pouring, or when the station ran with a wrong camera map. Pre-load and remove-20-g runs are closed-loop probes, reported apart, and targets outside a model's trained target range are reported apart. One camera-only ACT run (380 g, 2 October) is scored from its plateau, 437.3 g, as described below.

Take-back labels. takeback/ holds the detector that the paper uses to count recovery pours, and its output for all 1,839 pours (takeback_labels.csv).

The slope is the Theil-Sen estimate of delivered against requested weight: 1 means the policy follows the request, 0 means it pours the same amount whatever is asked.

Two directories, on purpose

audit_2026-10-03/ holds exactly the 197 rollouts the submitted version of the paper analyses, frozen at a cutoff of 14:04 on 3 October 2026. Every count in the paper's evaluation section can be reproduced from these files and nothing else.

full/ holds 264 rollouts: the same runs plus everything recorded after the cutoff, because the bench kept running while the paper was written. Use this one to see more of the models' behaviour; use the audit snapshot to check the submitted version; the camera-ready version uses camera_ready_2026-11/.

plans/ holds the plan each set was run against, so a row number resolves to the target, the bench setup and what was expected.

Columns

column
row the plan row this run executed
model the checkpoint
target_g what was asked for
final_g the delivered weight, the median of the settled plateau
err_g final_g - target_g
peak_g the highest instantaneous reading, which is not always material
start_g the scale before the run
crossings times the weight crossed the target
outcome OK, LOW, HIGH, OSC, or SUSPECT where the trace could not be scored
notes written by hand where a run was recovered or rejected

Read this before computing anything

peak_g does not measure material. When the arm touches the pan the load cell reads the arm. Peaks above 1000 g appear in seven of these runs and are contact, not grain.

Not every outcome is the policy's. 29 of the 197 audited runs were set by measurement or protocol: a pan moved before the reading, a run scored on paper with no trace kept, a control loop that never sent an observation, a board that reset mid-run. The paper counts and locates each one. A run's notes field is the first place to look.

One row is knowingly wrong and left in place. The camera-only ACT run at 380 g is logged as -0.6 g. Its weight trace holds flat at 437.3 g for thirty-five seconds and falls to zero only in the final second: the pan was cleared after the run and the scorer read the last sample instead of the plateau. The correct value is +57.3 g. It is left as recorded, and reported in the paper, rather than quietly fixed.

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