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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
problem_key: string
rollout_index: int64
arm: string
steer: string
label: string
committed: bool
correct: bool
hit_token_cap: bool
finish_reason: string
output_tokens: int64
max_tokens_used: int64
completion: string
exec_correct: bool
exec_error: string
exec_extract: string
to
{'problem_key': Value('string'), 'rollout_index': Value('int64'), 'arm': Value('string'), 'steer': Value('string'), 'label': Value('string'), 'committed': Value('bool'), 'correct': Value('bool'), 'hit_token_cap': Value('bool'), 'finish_reason': Value('string'), 'output_tokens': Value('int64'), 'max_tokens_used': Value('int64'), 'completion': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
problem_key: string
rollout_index: int64
arm: string
steer: string
label: string
committed: bool
correct: bool
hit_token_cap: bool
finish_reason: string
output_tokens: int64
max_tokens_used: int64
completion: string
exec_correct: bool
exec_error: string
exec_extract: string
to
{'problem_key': Value('string'), 'rollout_index': Value('int64'), 'arm': Value('string'), 'steer': Value('string'), 'label': Value('string'), 'committed': Value('bool'), 'correct': Value('bool'), 'hit_token_cap': Value('bool'), 'finish_reason': Value('string'), 'output_tokens': Value('int64'), 'max_tokens_used': Value('int64'), 'completion': Value('string')}
because column names don't match
The above exception was the direct cause of the following exception:
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 1694, 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 1880, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
problem_key string | rollout_index int64 | arm string | steer string | label string | committed bool | correct bool | hit_token_cap bool | finish_reason string | output_tokens int64 | max_tokens_used int64 | completion string |
|---|---|---|---|---|---|---|---|---|---|---|---|
olymp_0 | 16 | nn_okay | base | olympiadbench | false | false | true | length | 31,744 | 31,744 |
Okay, so I need to figure out how many moves Sergey needs to determine the number Xenia thought of. Let me start by understanding the problem step by step.
First, Xenia picks a positive integer N, which is at most 5000. Then she selects 20 distinct positive integers a₁, a₂, ..., a₂₀. For each k from 1 to 20, N and a... |
olymp_0 | 17 | nn_okay | base | olympiadbench | false | false | true | length | 31,744 | 31,744 | "\n\nOkay, so I need to figure out how many moves Sergey needs to determine the number N that Xenia (...TRUNCATED) |
olymp_0 | 18 | nn_okay | base | olympiadbench | false | false | true | length | 31,744 | 31,744 | "\n\nOkay, let's try to figure out how many moves Sergey needs to determine the number N that Xenia (...TRUNCATED) |
olymp_0 | 19 | nn_okay | base | olympiadbench | false | false | true | length | 31,744 | 31,744 | "\n\nOkay, so I need to figure out how many moves Sergey needs to determine the number N that Xenia (...TRUNCATED) |
olymp_0 | 20 | nn_okay | base | olympiadbench | false | false | true | length | 31,744 | 31,744 | "\n\nOkay, let's try to figure out how many moves Sergey needs to determine Xenia's number N. The pr(...TRUNCATED) |
olymp_0 | 21 | nn_okay | base | olympiadbench | false | false | true | length | 31,744 | 31,744 | "\n\nOkay, so here's this problem where Xenia picks a number N between 1 and 5000, and then she fixe(...TRUNCATED) |
olymp_0 | 22 | nn_okay | base | olympiadbench | false | false | true | length | 31,744 | 31,744 | "\n\nOkay, so I need to figure out how many moves Sergey needs to determine the number Xenia thought(...TRUNCATED) |
olymp_0 | 23 | nn_okay | base | olympiadbench | false | false | true | length | 31,744 | 31,744 | "\n\nOkay, so I need to figure out how many moves Sergey needs to determine the number N that Xenia (...TRUNCATED) |
olymp_0 | 24 | nn_okay | base | olympiadbench | false | false | false | stop | 16,821 | 31,744 | "\n\nOkay, let's try to figure out this problem step by step. So, Xenia picks a number N between 1 a(...TRUNCATED) |
olymp_0 | 25 | nn_okay | base | olympiadbench | false | false | true | length | 31,744 | 31,744 | "\n\nOkay, so I need to figure out how many moves Sergey needs to determine the number N that Xenia (...TRUNCATED) |
End of preview.
rollouts-olmo7b-grid-csail
Model: allenai/Olmo-3-1025-7B (snapshot a81bae42) (olmo7b/) and allenai/Olmo-3-7B-RL-Zero-Math (olmo7b_rlzero/). Tokenizer: allenai/Olmo-3-1025-7B (snapshot a81bae42). Protocol: PROTOCOL.md grid cells run on CSAIL: 16 rollouts per batch, two seeded batches (20260819, then 20260820 as _b2), budget 31,744, T 0.6, top-p 0.95; the paper's grid.json picks the best-covered copy of each cell across clusters (results/tables/grid.json names the source).
Rollouts generated on the CSAIL cluster for the reasoning-registers paper (Sophie Wang, MIT), uploaded 2026-09-13; sister repositories of the same organisation hold the cells run by Rulin Shao (see HF_MANIFEST.md there). Layout: each top-level folder is one local store with its date prefix dropped, keeping the store's own layout (rollouts_base_<arm>_p<start>.jsonl, one line per rollout with problem_key, rollout_index, arm, completion, correct, output_tokens, hit_token_cap; *_b2 = the second seeded batch; *_execgraded/ = the execution-graded copy for code). summaries/ holds the cell summaries the paper's tables read (scripts/eval/summarize_cell.py), tables/ the derived tables. Folders: grid/olmo7b, grid/olmo7b_rlzero, summaries/olmo7b, summaries/olmo7b_rlzero, tables. Files are plain JSON Lines, not compressed.
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