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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 1 new columns ({'num_datasets_used'}) and 5 missing columns ({'has_record', 'has_passk', 'run_dir', 'run_alias', 'dataset'}).

This happened while the csv dataset builder was generating data using

hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308/grpo_n16_step_passk.csv (at revision a3dbc44874df4f6d7734a2f1c075fb2a122bc83a), [/tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/all_runs_step_dataset_passk_detail.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/all_runs_step_dataset_passk_detail.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n16_step_dataset_passk_detail.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n16_step_dataset_passk_detail.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n16_step_passk.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n16_step_passk.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n32_step_dataset_passk_detail.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n32_step_dataset_passk_detail.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n32_step_passk.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n32_step_passk.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n8_step_dataset_passk_detail.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n8_step_dataset_passk_detail.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n8_step_passk.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n8_step_passk.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_normstdtrue_step_dataset_passk_detail.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_normstdtrue_step_dataset_passk_detail.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_normstdtrue_step_passk.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_normstdtrue_step_passk.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_step_dataset_passk_detail.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_step_dataset_passk_detail.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_step_passk.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_step_passk.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/summary.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/summary.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 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, 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
              step: int64
              pass@1: double
              pass@2: double
              pass@3: double
              pass@4: double
              pass@5: double
              pass@6: double
              pass@7: double
              pass@8: double
              pass@9: double
              pass@10: double
              pass@11: double
              pass@12: double
              pass@13: double
              pass@14: double
              pass@15: double
              pass@16: double
              pass@17: double
              pass@18: double
              pass@19: double
              pass@20: double
              pass@21: double
              pass@22: double
              pass@23: double
              pass@24: double
              pass@25: double
              pass@26: double
              pass@27: double
              pass@28: double
              pass@29: double
              pass@30: double
              pass@31: double
              pass@32: double
              pass@33: double
              pass@34: double
              pass@35: double
              pass@36: double
              pass@37: double
              pass@38: double
              pass@39: double
              pass@40: double
              pass@41: double
              pass@42: double
              pass@43: double
              pass@44: double
              pass@45: double
              pass@46: double
              pass@47: double
              pass@48: double
              pass@49: double
              pass@50: double
              pass@51: double
              pass@52: double
              pass@53: double
              pass@54: double
              pass@55: double
              pass@56: double
              pass@57: double
              pass@58: double
              pass@59: double
              pass@60: double
              pass@61: double
              pass@62: double
              pass@63: double
              pass@64: double
              num_datasets_used: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 7838
              to
              {'run_alias': Value('string'), 'run_dir': Value('string'), 'step': Value('int64'), 'dataset': Value('string'), 'has_record': Value('bool'), 'has_passk': Value('bool'), 'pass@1': Value('float64'), 'pass@2': Value('float64'), 'pass@3': Value('float64'), 'pass@4': Value('float64'), 'pass@5': Value('float64'), 'pass@6': Value('float64'), 'pass@7': Value('float64'), 'pass@8': Value('float64'), 'pass@9': Value('float64'), 'pass@10': Value('float64'), 'pass@11': Value('float64'), 'pass@12': Value('float64'), 'pass@13': Value('float64'), 'pass@14': Value('float64'), 'pass@15': Value('float64'), 'pass@16': Value('float64'), 'pass@17': Value('float64'), 'pass@18': Value('float64'), 'pass@19': Value('float64'), 'pass@20': Value('float64'), 'pass@21': Value('float64'), 'pass@22': Value('float64'), 'pass@23': Value('float64'), 'pass@24': Value('float64'), 'pass@25': Value('float64'), 'pass@26': Value('float64'), 'pass@27': Value('float64'), 'pass@28': Value('float64'), 'pass@29': Value('float64'), 'pass@30': Value('float64'), 'pass@31': Value('float64'), 'pass@32': Value('float64'), 'pass@33': Value('float64'), 'pass@34': Value('float64'), 'pass@35': Value('float64'), 'pass@36': Value('float64'), 'pass@37': Value('float64'), 'pass@38': Value('float64'), 'pass@39': Value('float64'), 'pass@40': Value('float64'), 'pass@41': Value('float64'), 'pass@42': Value('float64'), 'pass@43': Value('float64'), 'pass@44': Value('float64'), 'pass@45': Value('float64'), 'pass@46': Value('float64'), 'pass@47': Value('float64'), 'pass@48': Value('float64'), 'pass@49': Value('float64'), 'pass@50': Value('float64'), 'pass@51': Value('float64'), 'pass@52': Value('float64'), 'pass@53': Value('float64'), 'pass@54': Value('float64'), 'pass@55': Value('float64'), 'pass@56': Value('float64'), 'pass@57': Value('float64'), 'pass@58': Value('float64'), 'pass@59': Value('float64'), 'pass@60': Value('float64'), 'pass@61': Value('float64'), 'pass@62': Value('float64'), 'pass@63': 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 1736, 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 1889, 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 1 new columns ({'num_datasets_used'}) and 5 missing columns ({'has_record', 'has_passk', 'run_dir', 'run_alias', 'dataset'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308/grpo_n16_step_passk.csv (at revision a3dbc44874df4f6d7734a2f1c075fb2a122bc83a), [/tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/all_runs_step_dataset_passk_detail.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/all_runs_step_dataset_passk_detail.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n16_step_dataset_passk_detail.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n16_step_dataset_passk_detail.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n16_step_passk.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n16_step_passk.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n32_step_dataset_passk_detail.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n32_step_dataset_passk_detail.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n32_step_passk.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n32_step_passk.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n8_step_dataset_passk_detail.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n8_step_dataset_passk_detail.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n8_step_passk.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/grpo_n8_step_passk.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_normstdtrue_step_dataset_passk_detail.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_normstdtrue_step_dataset_passk_detail.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_normstdtrue_step_passk.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_normstdtrue_step_passk.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_step_dataset_passk_detail.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_step_dataset_passk_detail.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_step_passk.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/reinforce_ada_n8_step_passk.csv), /tmp/hf-datasets-cache/medium/datasets/28494769921556-config-parquet-and-info-hendrydong-reinforce-ada--1f6fa3f3/hub/datasets--hendrydong--reinforce-ada-passk-step-tables-20260308/snapshots/a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/summary.csv (origin=hf://datasets/hendrydong/reinforce-ada-passk-step-tables-20260308@a3dbc44874df4f6d7734a2f1c075fb2a122bc83a/summary.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.

run_alias
string
run_dir
string
step
int64
dataset
string
has_record
bool
has_passk
bool
pass@1
float64
pass@2
float64
pass@3
float64
pass@4
float64
pass@5
float64
pass@6
float64
pass@7
float64
pass@8
float64
pass@9
float64
pass@10
float64
pass@11
float64
pass@12
float64
pass@13
float64
pass@14
float64
pass@15
float64
pass@16
float64
pass@17
float64
pass@18
float64
pass@19
float64
pass@20
float64
pass@21
float64
pass@22
float64
pass@23
float64
pass@24
float64
pass@25
float64
pass@26
float64
pass@27
float64
pass@28
float64
pass@29
float64
pass@30
float64
pass@31
float64
pass@32
float64
pass@33
float64
pass@34
float64
pass@35
float64
pass@36
float64
pass@37
float64
pass@38
float64
pass@39
float64
pass@40
float64
pass@41
float64
pass@42
float64
pass@43
float64
pass@44
float64
pass@45
float64
pass@46
float64
pass@47
float64
pass@48
float64
pass@49
float64
pass@50
float64
pass@51
float64
pass@52
float64
pass@53
float64
pass@54
float64
pass@55
float64
pass@56
float64
pass@57
float64
pass@58
float64
pass@59
float64
pass@60
float64
pass@61
float64
pass@62
float64
pass@63
float64
pass@64
float64
grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
50
math500
true
true
0.503156
0.649701
0.716137
0.755531
0.782406
0.802239
0.81762
0.82997
0.840144
0.848696
0.856
0.862322
0.867854
0.872743
0.877098
0.881007
0.884538
0.887747
0.890679
0.89337
0.895852
0.898151
0.900287
0.90228
0.904146
0.905898
0.907547
0.909104
0.910578
0.911976
0.913305
0.914571
0.91578
0.916935
0.918042
0.919103
0.920123
0.921103
0.922047
0.922957
0.923835
0.924683
0.925503
0.926295
0.927063
0.927806
0.928526
0.929224
0.929901
0.930558
0.931196
0.931815
0.932416
0.933
0.933568
0.934119
0.934654
0.935175
0.93568
0.936171
0.936648
0.937112
0.937563
0.938
grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
50
minerva_math
true
true
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
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grpo_n16
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grpo_n16
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grpo_n16
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grpo_n16
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
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grpo_n16
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grpo_n16
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grpo_n16
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grpo_n16
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
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grpo_n16
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grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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minerva_math
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
800
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
850
math500
true
true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
850
minerva_math
true
true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
850
olympiadbench
true
true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
850
aime_hmmt_brumo_cmimc_amc23
true
true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
900
math500
true
true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
900
minerva_math
true
true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
900
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true
true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
900
aime_hmmt_brumo_cmimc_amc23
true
true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
950
math500
true
true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
950
minerva_math
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true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
950
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true
true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
950
aime_hmmt_brumo_cmimc_amc23
true
true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
1,000
math500
true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
1,000
minerva_math
true
true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
1,000
olympiadbench
true
true
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grpo_n16
grpo-b64-mini64-n16-s1000-rlhflow-s15b
1,000
aime_hmmt_brumo_cmimc_amc23
true
true
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
50
math500
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
50
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
50
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
50
aime_hmmt_brumo_cmimc_amc23
true
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
100
math500
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
100
minerva_math
true
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
100
olympiadbench
true
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
100
aime_hmmt_brumo_cmimc_amc23
true
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
150
math500
true
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
150
minerva_math
true
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
150
olympiadbench
true
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
150
aime_hmmt_brumo_cmimc_amc23
true
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
200
math500
true
false
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
200
minerva_math
true
false
null
null
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
200
olympiadbench
true
false
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null
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
200
aime_hmmt_brumo_cmimc_amc23
true
false
null
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
250
math500
true
false
null
null
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
250
minerva_math
true
false
null
null
null
null
null
null
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grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
250
olympiadbench
true
false
null
null
null
null
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null
grpo_n32
grpo-b64-mini64-n32-s1000-rlhflow-s15b
250
aime_hmmt_brumo_cmimc_amc23
true
false
null
null
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null
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null
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