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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 |
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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