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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 2 new columns ({' "ts_iso": "2026-04-29T07:04:00.975823+00:00"', '{"ts": 1777446240.975823'}) and 2 missing columns ({' "ts_iso": "2026-04-29T06:45:08.898091+00:00"', '{"ts": 1777445108.8980887'}).
This happened while the csv dataset builder was generating data using
hf://datasets/jasminexli/verifier-challenge-traces/runs/20260429T070359Z-bqrf8dk6ndppqx/workload_labels.jsonl (at revision 0f53155093cd802dc92543351b2a6cfc3eb1280a), [/tmp/hf-datasets-cache/medium/datasets/66654874541666-config-parquet-and-info-jasminexli-verifier-chall-353b7917/hub/datasets--jasminexli--verifier-challenge-traces/snapshots/0f53155093cd802dc92543351b2a6cfc3eb1280a/runs/20260429T064507Z-j4vei3duw66yfd/workload_labels.jsonl (origin=hf://datasets/jasminexli/verifier-challenge-traces@0f53155093cd802dc92543351b2a6cfc3eb1280a/runs/20260429T064507Z-j4vei3duw66yfd/workload_labels.jsonl), /tmp/hf-datasets-cache/medium/datasets/66654874541666-config-parquet-and-info-jasminexli-verifier-chall-353b7917/hub/datasets--jasminexli--verifier-challenge-traces/snapshots/0f53155093cd802dc92543351b2a6cfc3eb1280a/runs/20260429T070359Z-bqrf8dk6ndppqx/workload_labels.jsonl (origin=hf://datasets/jasminexli/verifier-challenge-traces@0f53155093cd802dc92543351b2a6cfc3eb1280a/runs/20260429T070359Z-bqrf8dk6ndppqx/workload_labels.jsonl)]
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/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
{"ts": 1777446240.975823: string
"ts_iso": "2026-04-29T07:04:00.975823+00:00": string
"phase_id": "honest_pretrain_tiny": string
"event": "start": string
"claimed": {"op_type": "training": string
"model": "gpt-tiny": string
"phase": "pretrain"}: string
"truth": {"op_type": "training": string
"model": "gpt-tiny".1: string
"phase": "pretrain"}.1: string
"seed": 1417016481: string
"duration_s_target": 1800}: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2190
to
{'{"ts": 1777445108.8980887': Value('string'), ' "ts_iso": "2026-04-29T06:45:08.898091+00:00"': Value('string'), ' "phase_id": "honest_pretrain_tiny"': Value('string'), ' "event": "start"': Value('string'), ' "claimed": {"op_type": "training"': Value('string'), ' "model": "gpt-tiny"': Value('string'), ' "phase": "pretrain"}': Value('string'), ' "truth": {"op_type": "training"': Value('string'), ' "model": "gpt-tiny".1': Value('string'), ' "phase": "pretrain"}.1': Value('string'), ' "seed": 1417016481': Value('string'), ' "duration_s_target": 1800}': 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 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 ({' "ts_iso": "2026-04-29T07:04:00.975823+00:00"', '{"ts": 1777446240.975823'}) and 2 missing columns ({' "ts_iso": "2026-04-29T06:45:08.898091+00:00"', '{"ts": 1777445108.8980887'}).
This happened while the csv dataset builder was generating data using
hf://datasets/jasminexli/verifier-challenge-traces/runs/20260429T070359Z-bqrf8dk6ndppqx/workload_labels.jsonl (at revision 0f53155093cd802dc92543351b2a6cfc3eb1280a), [/tmp/hf-datasets-cache/medium/datasets/66654874541666-config-parquet-and-info-jasminexli-verifier-chall-353b7917/hub/datasets--jasminexli--verifier-challenge-traces/snapshots/0f53155093cd802dc92543351b2a6cfc3eb1280a/runs/20260429T064507Z-j4vei3duw66yfd/workload_labels.jsonl (origin=hf://datasets/jasminexli/verifier-challenge-traces@0f53155093cd802dc92543351b2a6cfc3eb1280a/runs/20260429T064507Z-j4vei3duw66yfd/workload_labels.jsonl), /tmp/hf-datasets-cache/medium/datasets/66654874541666-config-parquet-and-info-jasminexli-verifier-chall-353b7917/hub/datasets--jasminexli--verifier-challenge-traces/snapshots/0f53155093cd802dc92543351b2a6cfc3eb1280a/runs/20260429T070359Z-bqrf8dk6ndppqx/workload_labels.jsonl (origin=hf://datasets/jasminexli/verifier-challenge-traces@0f53155093cd802dc92543351b2a6cfc3eb1280a/runs/20260429T070359Z-bqrf8dk6ndppqx/workload_labels.jsonl)]
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.
{"ts": 1777445108.8980887 string | "ts_iso": "2026-04-29T06:45:08.898091+00:00" string | "phase_id": "honest_pretrain_tiny" string | "event": "start" string | "claimed": {"op_type": "training" string | "model": "gpt-tiny" string | "phase": "pretrain"} string | "truth": {"op_type": "training" string | "model": "gpt-tiny".1 string | "phase": "pretrain"}.1 string | "seed": 1417016481 string | "duration_s_target": 1800} string |
|---|---|---|---|---|---|---|---|---|---|---|---|
{"ts": 1777446920.1388147 | "ts_iso": "2026-04-29T07:15:20.138823+00:00" | "phase_id": "honest_pretrain_tiny" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 1811.2257108688354} | null | null | null | null | null |
{"ts": 1777446920.1483169 | "ts_iso": "2026-04-29T07:15:20.148317+00:00" | "phase_id": "honest_pretrain_small" | "event": "start" | "claimed": {"op_type": "training" | "model": "gpt-small" | "phase": "pretrain"} | "truth": {"op_type": "training" | "model": "gpt-small" | "phase": "pretrain"} | "seed": 832974205 | "duration_s_target": 1800} |
{"ts": 1777448733.0231392 | "ts_iso": "2026-04-29T07:45:33.023145+00:00" | "phase_id": "honest_pretrain_small" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 1812.870394706726} | null | null | null | null | null |
{"ts": 1777448733.032234 | "ts_iso": "2026-04-29T07:45:33.032234+00:00" | "phase_id": "honest_inference_small" | "event": "start" | "claimed": {"op_type": "inference" | "model": "gpt-small" | "phase": "inference"} | "truth": {"op_type": "inference" | "model": "gpt-small" | "phase": "inference"} | "seed": 1740926214 | "duration_s_target": 900} |
{"ts": 1777449644.4492695 | "ts_iso": "2026-04-29T08:00:44.449274+00:00" | "phase_id": "honest_inference_small" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 911.4124100208282} | null | null | null | null | null |
{"ts": 1777449644.459026 | "ts_iso": "2026-04-29T08:00:44.459026+00:00" | "phase_id": "honest_finetune_tiny" | "event": "start" | "claimed": {"op_type": "training" | "model": "gpt-tiny" | "phase": "finetune"} | "truth": {"op_type": "training" | "model": "gpt-tiny" | "phase": "finetune"} | "seed": 2681460915 | "duration_s_target": 1200} |
{"ts": 1777450855.2738366 | "ts_iso": "2026-04-29T08:20:55.273844+00:00" | "phase_id": "honest_finetune_tiny" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 1210.8098521232605} | null | null | null | null | null |
{"ts": 1777450855.2817175 | "ts_iso": "2026-04-29T08:20:55.281718+00:00" | "phase_id": "idle" | "event": "start" | "claimed": {"op_type": "idle"} | "truth": {"op_type": "idle"} | "seed": 1337336648 | "duration_s_target": 300} | null | null | null | null |
{"ts": 1777451155.2866466 | "ts_iso": "2026-04-29T08:25:55.286650+00:00" | "phase_id": "idle" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 300.000079870224} | null | null | null | null | null |
{"ts": 1777451155.2955976 | "ts_iso": "2026-04-29T08:25:55.295598+00:00" | "phase_id": "adv_train_as_infer" | "event": "start" | "claimed": {"op_type": "inference" | "model": "gpt-small" | "phase": "inference"} | "truth": {"op_type": "training" | "model": "gpt-small" | "phase": "pretrain"} | "seed": 3642455368 | "duration_s_target": 900} |
{"ts": 1777452084.596532 | "ts_iso": "2026-04-29T08:41:24.596540+00:00" | "phase_id": "adv_train_as_infer" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 929.2971000671387} | null | null | null | null | null |
{"ts": 1777452084.6273098 | "ts_iso": "2026-04-29T08:41:24.627311+00:00" | "phase_id": "adv_big_as_small" | "event": "start" | "claimed": {"op_type": "training" | "model": "gpt-tiny" | "phase": "pretrain"} | "truth": {"op_type": "training" | "model": "gpt-small" | "phase": "pretrain"} | "seed": 3826403184 | "duration_s_target": 900} |
{"ts": 1777453000.9685287 | "ts_iso": "2026-04-29T08:56:40.968537+00:00" | "phase_id": "adv_big_as_small" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 916.3361587524414} | null | null | null | null | null |
{"ts": 1777453000.9750822 | "ts_iso": "2026-04-29T08:56:40.975083+00:00" | "phase_id": "adv_finetune_as_pretrain" | "event": "start" | "claimed": {"op_type": "training" | "model": "gpt-tiny" | "phase": "pretrain"} | "truth": {"op_type": "training" | "model": "gpt-tiny" | "phase": "finetune"} | "seed": 1722559667 | "duration_s_target": 900} |
{"ts": 1777453914.6466258 | "ts_iso": "2026-04-29T09:11:54.646632+00:00" | "phase_id": "adv_finetune_as_pretrain" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 913.667795419693} | null | null | null | null | null |
null | null | "phase_id": "honest_pretrain_tiny" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 1811.4562163352966} | null | null | null | null | null |
null | null | "phase_id": "honest_pretrain_small" | "event": "start" | "claimed": {"op_type": "training" | "model": "gpt-small" | "phase": "pretrain"} | "truth": {"op_type": "training" | "model": "gpt-small" | "phase": "pretrain"} | "seed": 832974205 | "duration_s_target": 1800} |
null | null | "phase_id": "honest_pretrain_small" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 1812.781503200531} | null | null | null | null | null |
null | null | "phase_id": "honest_inference_small" | "event": "start" | "claimed": {"op_type": "inference" | "model": "gpt-small" | "phase": "inference"} | "truth": {"op_type": "inference" | "model": "gpt-small" | "phase": "inference"} | "seed": 1740926214 | "duration_s_target": 900} |
null | null | "phase_id": "honest_inference_small" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 916.7351529598236} | null | null | null | null | null |
null | null | "phase_id": "honest_finetune_tiny" | "event": "start" | "claimed": {"op_type": "training" | "model": "gpt-tiny" | "phase": "finetune"} | "truth": {"op_type": "training" | "model": "gpt-tiny" | "phase": "finetune"} | "seed": 2681460915 | "duration_s_target": 1200} |
null | null | "phase_id": "honest_finetune_tiny" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 1267.075142621994} | null | null | null | null | null |
null | null | "phase_id": "idle" | "event": "start" | "claimed": {"op_type": "idle"} | "truth": {"op_type": "idle"} | "seed": 1337336648 | "duration_s_target": 300} | null | null | null | null |
null | null | "phase_id": "idle" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 300.00008893013} | null | null | null | null | null |
null | null | "phase_id": "adv_train_as_infer" | "event": "start" | "claimed": {"op_type": "inference" | "model": "gpt-small" | "phase": "inference"} | "truth": {"op_type": "training" | "model": "gpt-small" | "phase": "pretrain"} | "seed": 3642455368 | "duration_s_target": 900} |
null | null | "phase_id": "adv_train_as_infer" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 921.5026063919067} | null | null | null | null | null |
null | null | "phase_id": "adv_big_as_small" | "event": "start" | "claimed": {"op_type": "training" | "model": "gpt-tiny" | "phase": "pretrain"} | "truth": {"op_type": "training" | "model": "gpt-small" | "phase": "pretrain"} | "seed": 3826403184 | "duration_s_target": 900} |
null | null | "phase_id": "adv_big_as_small" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 929.802140712738} | null | null | null | null | null |
null | null | "phase_id": "adv_finetune_as_pretrain" | "event": "start" | "claimed": {"op_type": "training" | "model": "gpt-tiny" | "phase": "pretrain"} | "truth": {"op_type": "training" | "model": "gpt-tiny" | "phase": "finetune"} | "seed": 1722559667 | "duration_s_target": 900} |
null | null | "phase_id": "adv_finetune_as_pretrain" | "event": "end" | "status": "ok" | "rc": 0 | "duration_actual_s": 923.0067896842957} | null | null | null | null | null |
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