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train

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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
gstep: int64
pid: string
reward: double
capped: bool
n_tokens: int64
text: string
step: int64
opener: string
register: bool
to
{'gstep': Value('int64'), 'step': Value('int64'), 'pid': Value('string'), 'reward': Value('float64'), 'capped': Value('bool'), 'n_tokens': Value('int64'), 'opener': Value('string'), 'register': Value('bool')}
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
              gstep: int64
              pid: string
              reward: double
              capped: bool
              n_tokens: int64
              text: string
              step: int64
              opener: string
              register: bool
              to
              {'gstep': Value('int64'), 'step': Value('int64'), 'pid': Value('string'), 'reward': Value('float64'), 'capped': Value('bool'), 'n_tokens': Value('int64'), 'opener': Value('string'), 'register': Value('bool')}
              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 dataset

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gstep int64	step int64	pid string	reward float64	capped bool	n_tokens int64	opener string	register bool
0	1	8796ba656c15	1	false	933	let's	false
0	1	8796ba656c15	1	false	371	let's	false
0	1	8796ba656c15	1	false	852	so	false
0	1	8796ba656c15	1	false	1,259	let's	false
0	1	8796ba656c15	1	false	672	First,	false
0	1	8796ba656c15	1	false	549	First,	false
0	1	8796ba656c15	1	false	826	let's	false
0	1	8796ba656c15	1	false	485	First,	false
0	1	8796ba656c15	1	false	519	let's	false
0	1	8796ba656c15	1	false	694	let's	false
0	1	8796ba656c15	0	false	697	so	false
0	1	8796ba656c15	0	false	747	let's	false
0	1	8796ba656c15	1	false	668	let's	false
0	1	8796ba656c15	1	false	1,077	so	false
0	1	8796ba656c15	1	false	483	First,	false
0	1	8796ba656c15	1	false	569	so	false
0	1	a1232717d009	1	false	965	let's	false
0	1	a1232717d009	1	false	355	let's	false
0	1	a1232717d009	1	false	404	let's	false
0	1	a1232717d009	1	false	628	let's	false
0	1	a1232717d009	1	false	633	let's	false
0	1	a1232717d009	1	false	282	let's	false
0	1	a1232717d009	1	false	290	let's	false
0	1	a1232717d009	1	false	283	so	false
0	1	a1232717d009	1	false	409	let's	false
0	1	a1232717d009	1	false	637	let's	false
0	1	a1232717d009	1	false	279	let's	false
0	1	a1232717d009	1	false	275	so	false
0	1	a1232717d009	1	false	268	let's	false
0	1	a1232717d009	1	false	430	let's	false
0	1	a1232717d009	1	false	482	let's	false
0	1	a1232717d009	1	false	239	let's	false
1	2	b528aecc3c4f	1	false	460	let's	false
1	2	b528aecc3c4f	0	false	359	let's	false
1	2	b528aecc3c4f	1	false	423	First,	false
1	2	b528aecc3c4f	1	false	276	let's	false
1	2	b528aecc3c4f	0	false	391	The	false
1	2	b528aecc3c4f	1	false	456	let's	false
1	2	b528aecc3c4f	1	false	421	let's	false
1	2	b528aecc3c4f	1	false	591	First,	false
1	2	b528aecc3c4f	0	false	344	let's	false
1	2	b528aecc3c4f	1	false	352	let's	false
1	2	b528aecc3c4f	1	false	342	let's	false
1	2	b528aecc3c4f	0	false	358	So,	false
1	2	b528aecc3c4f	1	false	397	let's	false
1	2	b528aecc3c4f	1	false	377	Hmm,	true
1	2	b528aecc3c4f	1	false	393	Hmm,	true
1	2	b528aecc3c4f	1	false	423	First,	false
1	2	c10a2e6ee734	0	true	4,096	so	false
1	2	c10a2e6ee734	0	true	4,096	so	false
1	2	c10a2e6ee734	0	true	4,096	so	false
1	2	c10a2e6ee734	0	true	4,096	First,	false
1	2	c10a2e6ee734	1	false	2,639	so	false
1	2	c10a2e6ee734	1	false	3,961	so	false
1	2	c10a2e6ee734	1	false	3,201	First,	false
1	2	c10a2e6ee734	1	false	3,726	so	false
1	2	c10a2e6ee734	0	true	4,096	so	false
1	2	c10a2e6ee734	0	true	4,096	First,	false
1	2	c10a2e6ee734	1	false	3,634	so	false
1	2	c10a2e6ee734	0	true	4,096	First,	false
1	2	c10a2e6ee734	1	false	2,978	First,	false
1	2	c10a2e6ee734	1	false	3,531	First,	false
1	2	c10a2e6ee734	0	true	4,096	so	false
1	2	c10a2e6ee734	0	true	4,096	so	false
2	3	9ce8797c85bc	1	false	1,169	let's	false
2	3	9ce8797c85bc	0	false	1,443	let's	false
2	3	9ce8797c85bc	1	false	1,191	let's	false
2	3	9ce8797c85bc	1	false	1,413	so	false
2	3	9ce8797c85bc	1	false	1,387	let's	false
2	3	9ce8797c85bc	1	false	1,436	let's	false
2	3	9ce8797c85bc	0	false	1,286	let's	false
2	3	9ce8797c85bc	1	false	1,144	so	false
2	3	9ce8797c85bc	1	false	1,814	let's	false
2	3	9ce8797c85bc	1	false	1,719	let's	false
2	3	9ce8797c85bc	1	false	1,442	let's	false
2	3	9ce8797c85bc	0	false	3,293	let's	false
2	3	9ce8797c85bc	1	false	1,568	so	false
2	3	9ce8797c85bc	1	false	1,494	let's	false
2	3	9ce8797c85bc	1	false	1,263	let's	false
2	3	9ce8797c85bc	1	false	1,246	let's	false
2	3	2c9530185e86	1	false	291	let's	false
2	3	2c9530185e86	1	false	511	so	false
2	3	2c9530185e86	1	false	528	so	false
2	3	2c9530185e86	1	false	353	let's	false
2	3	2c9530185e86	1	false	357	so	false
2	3	2c9530185e86	1	false	440	let's	false
2	3	2c9530185e86	1	false	459	so	false
2	3	2c9530185e86	1	false	411	so	false
2	3	2c9530185e86	1	false	297	let's	false
2	3	2c9530185e86	1	false	233	let's	false
2	3	2c9530185e86	1	false	528	so	false
2	3	2c9530185e86	1	false	332	let's	false
2	3	2c9530185e86	1	false	428	let's	false
2	3	2c9530185e86	1	false	266	so	false
2	3	2c9530185e86	1	false	324	let's	false
2	3	2c9530185e86	1	false	321	so	false
3	4	fa3c71d4696d	1	false	817	let's	false
3	4	fa3c71d4696d	1	false	1,155	so	false
3	4	fa3c71d4696d	1	false	698	let's	false
3	4	fa3c71d4696d	1	false	1,055	let's	false

End of preview.

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Check out the documentation for more information.

olmo32b-cue — GRPO training rollouts

Training rollout logs from the cue-forced GRPO run on Olmo-3-1125-32B (adapters: ReasoningRegisters/olmo32b-cue; 300 steps, every rollout prefilled with the ".\n\nOkay," opener).

rollout_log/rollouts_rank{0..15}.jsonl — one line per rollout: gstep, reward, capped, n_tokens, opener, register flag.
rollout_log/text_rank{0..15}.jsonl.gz — same rollouts with full generated text (gzip).

Step-0 evaluation rollouts for the cue arm live under cue/step0 in ReasoningRegisters/olmo32b-math500-eval-rollouts.

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Total file size:

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