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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 ({'k', 'pass_at_k'}) and 2 missing columns ({'pass@64', 'pass@1'}).

This happened while the csv dataset builder was generating data using

hf://datasets/hendrydong/reinforce-ada-eval-csvs/reinforce_ada_non_minerva_passk_20260311.csv (at revision 5ec610ee49ec053d244e72dd67e7f3fadc6fb95d), [/tmp/hf-datasets-cache/medium/datasets/15956822439178-config-parquet-and-info-hendrydong-reinforce-ada--dbc223e5/hub/datasets--hendrydong--reinforce-ada-eval-csvs/snapshots/5ec610ee49ec053d244e72dd67e7f3fadc6fb95d/reinforce_ada_non_minerva_pass1_pass64_20260311.csv (origin=hf://datasets/hendrydong/reinforce-ada-eval-csvs@5ec610ee49ec053d244e72dd67e7f3fadc6fb95d/reinforce_ada_non_minerva_pass1_pass64_20260311.csv), /tmp/hf-datasets-cache/medium/datasets/15956822439178-config-parquet-and-info-hendrydong-reinforce-ada--dbc223e5/hub/datasets--hendrydong--reinforce-ada-eval-csvs/snapshots/5ec610ee49ec053d244e72dd67e7f3fadc6fb95d/reinforce_ada_non_minerva_passk_20260311.csv (origin=hf://datasets/hendrydong/reinforce-ada-eval-csvs@5ec610ee49ec053d244e72dd67e7f3fadc6fb95d/reinforce_ada_non_minerva_passk_20260311.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/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              experiment: string
              checkpoint_dir: string
              step: int64
              dataset: string
              num_samples: int64
              k: int64
              pass_at_k: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1067
              to
              {'experiment': Value('string'), 'checkpoint_dir': Value('string'), 'step': Value('int64'), 'dataset': Value('string'), 'num_samples': Value('float64'), 'pass@1': Value('float64'), 'pass@64': Value('float64')}
              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 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1892, 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 ({'k', 'pass_at_k'}) and 2 missing columns ({'pass@64', 'pass@1'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/hendrydong/reinforce-ada-eval-csvs/reinforce_ada_non_minerva_passk_20260311.csv (at revision 5ec610ee49ec053d244e72dd67e7f3fadc6fb95d), [/tmp/hf-datasets-cache/medium/datasets/15956822439178-config-parquet-and-info-hendrydong-reinforce-ada--dbc223e5/hub/datasets--hendrydong--reinforce-ada-eval-csvs/snapshots/5ec610ee49ec053d244e72dd67e7f3fadc6fb95d/reinforce_ada_non_minerva_pass1_pass64_20260311.csv (origin=hf://datasets/hendrydong/reinforce-ada-eval-csvs@5ec610ee49ec053d244e72dd67e7f3fadc6fb95d/reinforce_ada_non_minerva_pass1_pass64_20260311.csv), /tmp/hf-datasets-cache/medium/datasets/15956822439178-config-parquet-and-info-hendrydong-reinforce-ada--dbc223e5/hub/datasets--hendrydong--reinforce-ada-eval-csvs/snapshots/5ec610ee49ec053d244e72dd67e7f3fadc6fb95d/reinforce_ada_non_minerva_passk_20260311.csv (origin=hf://datasets/hendrydong/reinforce-ada-eval-csvs@5ec610ee49ec053d244e72dd67e7f3fadc6fb95d/reinforce_ada_non_minerva_passk_20260311.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.

experiment
string
checkpoint_dir
string
step
int64
dataset
string
num_samples
float64
pass@1
float64
pass@64
float64
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
50
math500
500
0.522344
0.936
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
50
olympiadbench
675
0.238796
0.68
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
50
aime_hmmt_brumo_cmimc_amc23
230
0.092255
0.43913
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
100
math500
500
0.582656
0.94
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
100
olympiadbench
675
0.263079
0.693333
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
100
aime_hmmt_brumo_cmimc_amc23
230
0.104552
0.417391
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
150
math500
500
0.622094
0.95
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
150
olympiadbench
675
0.276458
0.703704
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
150
aime_hmmt_brumo_cmimc_amc23
230
0.117188
0.43913
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
200
math500
500
0.647781
0.94
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
200
olympiadbench
675
0.293171
0.717037
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
200
aime_hmmt_brumo_cmimc_amc23
230
0.126087
0.452174
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
250
math500
500
0.663125
0.954
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
250
olympiadbench
675
0.306806
0.718519
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
250
aime_hmmt_brumo_cmimc_amc23
230
0.125747
0.447826
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
300
math500
500
0.68475
0.952
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
300
olympiadbench
675
0.319444
0.733333
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
300
aime_hmmt_brumo_cmimc_amc23
230
0.135258
0.447826
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
350
math500
500
0.693906
0.956
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
350
olympiadbench
675
0.326921
0.724444
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
350
aime_hmmt_brumo_cmimc_amc23
230
0.135666
0.43913
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
400
math500
500
0.701
0.958
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
400
olympiadbench
675
0.335278
0.731852
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
400
aime_hmmt_brumo_cmimc_amc23
230
0.141033
0.469565
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
450
math500
500
0.707625
0.96
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
450
olympiadbench
675
0.340833
0.724444
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
450
aime_hmmt_brumo_cmimc_amc23
230
0.142935
0.46087
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
500
math500
500
0.715406
0.95
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
500
olympiadbench
675
0.349306
0.731852
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
500
aime_hmmt_brumo_cmimc_amc23
230
0.145245
0.447826
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
550
math500
500
0.724719
0.952
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
550
olympiadbench
675
0.35338
0.731852
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
550
aime_hmmt_brumo_cmimc_amc23
230
0.152106
0.469565
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
600
math500
500
0.731313
0.952
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
600
olympiadbench
675
0.361019
0.731852
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
600
aime_hmmt_brumo_cmimc_amc23
230
0.153804
0.456522
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
650
math500
500
0.733594
0.96
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
650
olympiadbench
675
0.364398
0.742222
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
650
aime_hmmt_brumo_cmimc_amc23
230
0.159035
0.473913
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
700
math500
500
0.738344
0.956
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
700
olympiadbench
675
0.369861
0.733333
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
700
aime_hmmt_brumo_cmimc_amc23
230
0.162772
0.486957
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
750
math500
500
0.743844
0.954
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
750
olympiadbench
675
0.374421
0.731852
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
750
aime_hmmt_brumo_cmimc_amc23
230
0.160802
0.452174
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
800
math500
500
0.749469
0.958
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
800
olympiadbench
675
0.37706
0.73037
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
800
aime_hmmt_brumo_cmimc_amc23
230
0.16481
0.447826
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
850
math500
500
0.753375
0.944
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
850
olympiadbench
675
0.38088
0.73037
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
850
aime_hmmt_brumo_cmimc_amc23
230
0.163451
0.46087
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
900
math500
500
0.747688
0.954
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
900
olympiadbench
675
0.383426
0.70963
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
900
aime_hmmt_brumo_cmimc_amc23
230
0.162432
0.447826
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
950
math500
500
0.734656
0.948
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
950
olympiadbench
675
0.37081
0.70963
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
950
aime_hmmt_brumo_cmimc_amc23
230
0.153193
0.452174
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
1,000
math500
500
0.666688
0.94
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
1,000
olympiadbench
675
0.298472
0.671111
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
1,000
aime_hmmt_brumo_cmimc_amc23
230
0.111617
0.382609
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
50
math500
500
0.504125
0.934
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
50
olympiadbench
675
0.232801
0.668148
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
50
aime_hmmt_brumo_cmimc_amc23
230
0.083628
0.413043
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
100
math500
500
0.5615
0.942
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
100
olympiadbench
675
0.253148
0.685926
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
100
aime_hmmt_brumo_cmimc_amc23
230
0.098166
0.421739
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
150
math500
500
0.6005
0.946
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
150
olympiadbench
675
0.268819
0.681481
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
150
aime_hmmt_brumo_cmimc_amc23
230
0.109783
0.443478
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
200
math500
500
0.629719
0.952
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
200
olympiadbench
675
0.283287
0.70963
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
200
aime_hmmt_brumo_cmimc_amc23
230
0.114946
0.447826
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
250
math500
500
0.641719
0.952
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
250
olympiadbench
675
0.289537
0.705185
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
250
aime_hmmt_brumo_cmimc_amc23
230
0.124524
0.486957
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
300
math500
500
0.6605
0.954
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
300
olympiadbench
675
0.299051
0.72
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
300
aime_hmmt_brumo_cmimc_amc23
230
0.127717
0.43913
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
350
math500
500
0.667031
0.952
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
350
olympiadbench
675
0.305486
0.721481
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
350
aime_hmmt_brumo_cmimc_amc23
230
0.129755
0.426087
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
400
math500
500
0.676594
0.946
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
400
olympiadbench
675
0.314491
0.722963
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
400
aime_hmmt_brumo_cmimc_amc23
230
0.136073
0.447826
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
450
math500
500
0.683188
0.956
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
450
olympiadbench
675
0.320301
0.718519
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
450
aime_hmmt_brumo_cmimc_amc23
230
0.132609
0.482609
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
500
math500
500
0.691906
0.956
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
500
olympiadbench
675
0.324028
0.724444
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
500
aime_hmmt_brumo_cmimc_amc23
230
0.139946
0.469565
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
550
math500
500
0.698313
0.944
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
550
olympiadbench
675
0.330926
0.722963
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
550
aime_hmmt_brumo_cmimc_amc23
230
0.141644
0.482609
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
600
math500
500
0.694313
0.952
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
600
olympiadbench
675
0.331296
0.742222
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
600
aime_hmmt_brumo_cmimc_amc23
230
0.144158
0.456522
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
650
math500
500
0.703438
0.95
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
650
olympiadbench
675
0.337454
0.745185
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
650
aime_hmmt_brumo_cmimc_amc23
230
0.141236
0.46087
reinforce_ada_n8
reinforce-ada-b64-mini64-n8-s1000-rlhflow-s15b
700
math500
500
0.711344
0.954
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