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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
domain: string
seed: int64
outer_fold: int64
train_acc_i1: double
train_acc_i2: double
train_acc_i3: double
train_prior: string
prior_tie: bool
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1221
to
{'method': Value('string'), 'question_id': Value('string'), 'split_group_id': Value('string'), 'candidate_group_id': Value('string'), 'benchmark': Value('string'), 'domain': Value('string'), 'seed': Value('int64'), 'outer_fold': Value('int64'), 'correct_i1': Value('int64'), 'correct_i2': Value('int64'), 'correct_i3': Value('int64'), 'raw_score_i1': Value('float64'), 'raw_score_i2': Value('float64'), 'raw_score_i3': Value('float64'), 'z_score_i1': Value('float64'), 'z_score_i2': Value('float64'), 'z_score_i3': Value('float64'), 'top1_iter': Value('float64'), 'top1_score': Value('float64'), 'top2_score': Value('float64'), 'top1_top2_gap': Value('float64'), 'unique_top1': Value('bool'), 'margin': Value('float64'), 'train_prior': Value('string'), 'fallback_triggered': Value('bool'), 'selected_iter': Value('string'), 'selected_correct': Value('int64'), 'representation_selected_iter': Value('string'), 'representation_selected_correct': Value('int64'), 'agreement_pattern': 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 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 764, in write_table
self.write_rows_on_file() # in case there are buffered rows to write first
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._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
domain: string
seed: int64
outer_fold: int64
train_acc_i1: double
train_acc_i2: double
train_acc_i3: double
train_prior: string
prior_tie: bool
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1221
to
{'method': Value('string'), 'question_id': Value('string'), 'split_group_id': Value('string'), 'candidate_group_id': Value('string'), 'benchmark': Value('string'), 'domain': Value('string'), 'seed': Value('int64'), 'outer_fold': Value('int64'), 'correct_i1': Value('int64'), 'correct_i2': Value('int64'), 'correct_i3': Value('int64'), 'raw_score_i1': Value('float64'), 'raw_score_i2': Value('float64'), 'raw_score_i3': Value('float64'), 'z_score_i1': Value('float64'), 'z_score_i2': Value('float64'), 'z_score_i3': Value('float64'), 'top1_iter': Value('float64'), 'top1_score': Value('float64'), 'top2_score': Value('float64'), 'top1_top2_gap': Value('float64'), 'unique_top1': Value('bool'), 'margin': Value('float64'), 'train_prior': Value('string'), 'fallback_triggered': Value('bool'), 'selected_iter': Value('string'), 'selected_correct': Value('int64'), 'representation_selected_iter': Value('string'), 'representation_selected_correct': Value('int64'), 'agreement_pattern': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 4 new columns ({'train_acc_i2', 'prior_tie', 'train_acc_i1', 'train_acc_i3'}) and 26 missing columns ({'raw_score_i1', 'correct_i2', 'top2_score', 'top1_score', 'raw_score_i2', 'z_score_i3', 'representation_selected_iter', 'top1_top2_gap', 'z_score_i1', 'unique_top1', 'split_group_id', 'top1_iter', 'raw_score_i3', 'correct_i1', 'selected_iter', 'fallback_triggered', 'question_id', 'representation_selected_correct', 'benchmark', 'correct_i3', 'margin', 'method', 'agreement_pattern', 'candidate_group_id', 'z_score_i2', 'selected_correct'}).
This happened while the csv dataset builder was generating data using
hf://datasets/hpachdpii/capdyn_match_rzero_global_nested5/capdyn_match_contrast/results/smoke_test/selected_hyperparameters.csv (at revision e261e1075f0f0d76964194448afa9776468f1584), ['hf://datasets/hpachdpii/capdyn_match_rzero_global_nested5@e261e1075f0f0d76964194448afa9776468f1584/capdyn_match_contrast/results/smoke_test/oof_predictions.csv', 'hf://datasets/hpachdpii/capdyn_match_rzero_global_nested5@e261e1075f0f0d76964194448afa9776468f1584/capdyn_match_contrast/results/smoke_test/preds_seed0_outer0.csv', 'hf://datasets/hpachdpii/capdyn_match_rzero_global_nested5@e261e1075f0f0d76964194448afa9776468f1584/capdyn_match_contrast/results/smoke_test/prior_by_fold.csv', 'hf://datasets/hpachdpii/capdyn_match_rzero_global_nested5@e261e1075f0f0d76964194448afa9776468f1584/capdyn_match_contrast/results/smoke_test/selected_hyperparameters.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)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
self.write_rows_on_file()
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._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
domain: string
seed: int64
outer_fold: int64
train_acc_i1: double
train_acc_i2: double
train_acc_i3: double
train_prior: string
prior_tie: bool
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1221
to
{'method': Value('string'), 'question_id': Value('string'), 'split_group_id': Value('string'), 'candidate_group_id': Value('string'), 'benchmark': Value('string'), 'domain': Value('string'), 'seed': Value('int64'), 'outer_fold': Value('int64'), 'correct_i1': Value('int64'), 'correct_i2': Value('int64'), 'correct_i3': Value('int64'), 'raw_score_i1': Value('float64'), 'raw_score_i2': Value('float64'), 'raw_score_i3': Value('float64'), 'z_score_i1': Value('float64'), 'z_score_i2': Value('float64'), 'z_score_i3': Value('float64'), 'top1_iter': Value('float64'), 'top1_score': Value('float64'), 'top2_score': Value('float64'), 'top1_top2_gap': Value('float64'), 'unique_top1': Value('bool'), 'margin': Value('float64'), 'train_prior': Value('string'), 'fallback_triggered': Value('bool'), 'selected_iter': Value('string'), 'selected_correct': Value('int64'), 'representation_selected_iter': Value('string'), 'representation_selected_correct': Value('int64'), 'agreement_pattern': 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.
method string | question_id string | split_group_id string | candidate_group_id string | benchmark string | domain string | seed int64 | outer_fold int64 | correct_i1 int64 | correct_i2 int64 | correct_i3 int64 | raw_score_i1 null | raw_score_i2 null | raw_score_i3 null | z_score_i1 null | z_score_i2 null | z_score_i3 null | top1_iter null | top1_score null | top2_score null | top1_top2_gap null | unique_top1 null | margin float64 | train_prior string | fallback_triggered null | selected_iter string | selected_correct int64 | representation_selected_iter string | representation_selected_correct int64 | agreement_pattern string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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always_i1 | math:e0d93ddd7000fc2faadf197f894e6d1dac6ec329 | math::math:e0d93ddd7000fc2faadf197f894e6d1dac6ec329 | math::math:e0d93ddd7000fc2faadf197f894e6d1dac6ec329 | math | math | 0 | 0 | 1 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i1 | 1 | i2_i3 |
always_i1 | math:49735803ab9b40944f9c36d9f3c5893c513f00d0 | math::math:49735803ab9b40944f9c36d9f3c5893c513f00d0 | math::math:49735803ab9b40944f9c36d9f3c5893c513f00d0 | math | math | 0 | 0 | 0 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 0 | i3 | 0 | all_agree |
always_i1 | math:8e3f99ceba8c2230776ff4d305d3c3b177150079 | math::math:8e3f99ceba8c2230776ff4d305d3c3b177150079 | math::math:8e3f99ceba8c2230776ff4d305d3c3b177150079 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:54d85265370ffd807057388e6cce9a9dfb256c79 | math::math:54d85265370ffd807057388e6cce9a9dfb256c79 | math::math:54d85265370ffd807057388e6cce9a9dfb256c79 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i1 | 1 | all_agree |
always_i1 | math:74cb9f869b847bb0ed4ef28a940e3d0a561390f1 | math::math:74cb9f869b847bb0ed4ef28a940e3d0a561390f1 | math::math:74cb9f869b847bb0ed4ef28a940e3d0a561390f1 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:46fe8e37e63a2178e99af81000bc877c2133dff5 | math::math:46fe8e37e63a2178e99af81000bc877c2133dff5 | math::math:46fe8e37e63a2178e99af81000bc877c2133dff5 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:2442c6a9d3481b9b724c1edbc3e42754ad65b04b | math::math:2442c6a9d3481b9b724c1edbc3e42754ad65b04b | math::math:2442c6a9d3481b9b724c1edbc3e42754ad65b04b | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i3 | 1 | all_agree |
always_i1 | math:7f20bd3fcd7769d6f918467a392c6125c601135c | math::math:7f20bd3fcd7769d6f918467a392c6125c601135c | math::math:7f20bd3fcd7769d6f918467a392c6125c601135c | math | math | 0 | 0 | 0 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 0 | i3 | 0 | i1_i3 |
always_i1 | math:5e5684f19b4b1ba710385582626e6b07859fb0d1 | math::math:5e5684f19b4b1ba710385582626e6b07859fb0d1 | math::math:5e5684f19b4b1ba710385582626e6b07859fb0d1 | math | math | 0 | 0 | 0 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 0 | i2 | 0 | all_agree |
always_i1 | math:5f419c07046568bd46a0c0a9fa21000694977d0e | math::math:5f419c07046568bd46a0c0a9fa21000694977d0e | math::math:5f419c07046568bd46a0c0a9fa21000694977d0e | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:0e42bb91443929726e63f894daa48200d4524abc | math::math:0e42bb91443929726e63f894daa48200d4524abc | math::math:0e42bb91443929726e63f894daa48200d4524abc | math | math | 0 | 0 | 0 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 0 | i1 | 0 | i1_i2 |
always_i1 | math:b958f7b4ddb1099f2ca485d2f95da09e5ffb752f | math::math:b958f7b4ddb1099f2ca485d2f95da09e5ffb752f | math::math:b958f7b4ddb1099f2ca485d2f95da09e5ffb752f | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:9a998c0126bf084c4c3e33e44c7c7d4d34539cd7 | math::math:9a998c0126bf084c4c3e33e44c7c7d4d34539cd7 | math::math:9a998c0126bf084c4c3e33e44c7c7d4d34539cd7 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i1 | 1 | all_agree |
always_i1 | math:8da32ad48cd718c52151addd722327f2f4dda6a6 | math::math:8da32ad48cd718c52151addd722327f2f4dda6a6 | math::math:8da32ad48cd718c52151addd722327f2f4dda6a6 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:5c2a2551bf35a2aa4efb41b9ad79e64466251d02 | math::math:5c2a2551bf35a2aa4efb41b9ad79e64466251d02 | math::math:5c2a2551bf35a2aa4efb41b9ad79e64466251d02 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i1 | 1 | all_agree |
always_i1 | math:a669973d348dac32108f27b8a93ded7e00d4a7cc | math::math:a669973d348dac32108f27b8a93ded7e00d4a7cc | math::math:a669973d348dac32108f27b8a93ded7e00d4a7cc | math | math | 0 | 0 | 0 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 0 | i1 | 0 | i1_i2 |
always_i1 | math:a418a5dc9fc98aa62fa00a603416e2de9309ccb0 | math::math:a418a5dc9fc98aa62fa00a603416e2de9309ccb0 | math::math:a418a5dc9fc98aa62fa00a603416e2de9309ccb0 | math | math | 0 | 0 | 1 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i3 | 0 | all_disagree |
always_i1 | math:b242d89f7377a12309587b2075910068acb8911b | math::math:b242d89f7377a12309587b2075910068acb8911b | math::math:b242d89f7377a12309587b2075910068acb8911b | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i3 | 1 | i1_i2 |
always_i1 | math:8b4fa113ccc538180a7985684395bd8b5a55b509 | math::math:8b4fa113ccc538180a7985684395bd8b5a55b509 | math::math:8b4fa113ccc538180a7985684395bd8b5a55b509 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i3 | 1 | all_agree |
always_i1 | math:4c032ecdae094a881498346e982e38f6147ca1ed | math::math:4c032ecdae094a881498346e982e38f6147ca1ed | math::math:4c032ecdae094a881498346e982e38f6147ca1ed | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:ca4b47d7609f0c2f0a5813dc8d30339c159de20b | math::math:ca4b47d7609f0c2f0a5813dc8d30339c159de20b | math::math:ca4b47d7609f0c2f0a5813dc8d30339c159de20b | math | math | 0 | 0 | 0 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 0 | i1 | 0 | all_disagree |
always_i1 | math:0fceef4c7d62da74920c6bb71e9ff3471a301372 | math::math:0fceef4c7d62da74920c6bb71e9ff3471a301372 | math::math:0fceef4c7d62da74920c6bb71e9ff3471a301372 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | i2_i3 |
always_i1 | math:0c0c92d517805e1c50d5fafd46fa85415526e449 | math::math:0c0c92d517805e1c50d5fafd46fa85415526e449 | math::math:0c0c92d517805e1c50d5fafd46fa85415526e449 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:5e1a05b37f1a2f33e35ff17d736a2786710a113f | math::math:5e1a05b37f1a2f33e35ff17d736a2786710a113f | math::math:5e1a05b37f1a2f33e35ff17d736a2786710a113f | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:262cfffb8b92296bd81fc762135362435bfd1d3c | math::math:262cfffb8b92296bd81fc762135362435bfd1d3c | math::math:262cfffb8b92296bd81fc762135362435bfd1d3c | math | math | 0 | 0 | 0 | 0 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 0 | i2 | 0 | all_disagree |
always_i1 | math:9a05aa6420cf6160309546e175116ed108b5536b | math::math:9a05aa6420cf6160309546e175116ed108b5536b | math::math:9a05aa6420cf6160309546e175116ed108b5536b | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i1 | 1 | all_agree |
always_i1 | math:1ead75f7b5956b19deff887a570796f1a953ac9d | math::math:1ead75f7b5956b19deff887a570796f1a953ac9d | math::math:1ead75f7b5956b19deff887a570796f1a953ac9d | math | math | 0 | 0 | 0 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 0 | i2 | 0 | all_agree |
always_i1 | math:956594fcb69fac6007f858a61755a9ef1cfa4f54 | math::math:956594fcb69fac6007f858a61755a9ef1cfa4f54 | math::math:956594fcb69fac6007f858a61755a9ef1cfa4f54 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i1 | 1 | all_agree |
always_i1 | math:bd5acdc780149f9e43903f6ee409e50bcf3c5a36 | math::math:bd5acdc780149f9e43903f6ee409e50bcf3c5a36 | math::math:bd5acdc780149f9e43903f6ee409e50bcf3c5a36 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i3 | 1 | all_agree |
always_i1 | math:25134e6316ca8007bea3f26773afb1ecefd05c61 | math::math:25134e6316ca8007bea3f26773afb1ecefd05c61 | math::math:25134e6316ca8007bea3f26773afb1ecefd05c61 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i3 | 1 | all_agree |
always_i1 | math:d015418cfafda2b1e51511854d250ea8f2279898 | math::math:d015418cfafda2b1e51511854d250ea8f2279898 | math::math:d015418cfafda2b1e51511854d250ea8f2279898 | math | math | 0 | 0 | 0 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 0 | i3 | 0 | i2_i3 |
always_i1 | math:480b95b3c02b8cb17e689f1cefd209589973c5c3 | math::math:480b95b3c02b8cb17e689f1cefd209589973c5c3 | math::math:480b95b3c02b8cb17e689f1cefd209589973c5c3 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i3 | 1 | all_agree |
always_i1 | math:926dc492858d236c372725cb4a4ba1cb28df000d | math::math:926dc492858d236c372725cb4a4ba1cb28df000d | math::math:926dc492858d236c372725cb4a4ba1cb28df000d | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i3 | 1 | all_agree |
always_i1 | math:ef9372b9d713ff1ac9b74dfa0cfcf4cde465e8cf | math::math:ef9372b9d713ff1ac9b74dfa0cfcf4cde465e8cf | math::math:ef9372b9d713ff1ac9b74dfa0cfcf4cde465e8cf | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:3ea91635cbf4ea2e41fbc33b601e7a1950a8e56d | math::math:3ea91635cbf4ea2e41fbc33b601e7a1950a8e56d | math::math:3ea91635cbf4ea2e41fbc33b601e7a1950a8e56d | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:cfa37bbfe99721b8f6450ddc8622c6b973a675fd | math::math:cfa37bbfe99721b8f6450ddc8622c6b973a675fd | math::math:cfa37bbfe99721b8f6450ddc8622c6b973a675fd | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i1 | 1 | all_agree |
always_i1 | math:c17aa1825599327b90262da39d1df9d2315a9ced | math::math:c17aa1825599327b90262da39d1df9d2315a9ced | math::math:c17aa1825599327b90262da39d1df9d2315a9ced | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i1 | 1 | all_agree |
always_i1 | math:26004e178f183df50f3b63dd25a2cd7ae99ea78d | math::math:26004e178f183df50f3b63dd25a2cd7ae99ea78d | math::math:26004e178f183df50f3b63dd25a2cd7ae99ea78d | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:58289a326af5468c3571595f81bc036f5dd3b1d0 | math::math:58289a326af5468c3571595f81bc036f5dd3b1d0 | math::math:58289a326af5468c3571595f81bc036f5dd3b1d0 | math | math | 0 | 0 | 0 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 0 | i2 | 0 | all_agree |
always_i1 | math:87172cafa6aeade719263e7f8b64aecb34a56820 | math::math:87172cafa6aeade719263e7f8b64aecb34a56820 | math::math:87172cafa6aeade719263e7f8b64aecb34a56820 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i1 | 1 | all_agree |
always_i1 | math:542bd1492a549faf03edb48ca1c074773de1830a | math::math:542bd1492a549faf03edb48ca1c074773de1830a | math::math:542bd1492a549faf03edb48ca1c074773de1830a | math | math | 0 | 0 | 1 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i3 | 0 | i1_i2 |
always_i1 | math:f27c94eb330a9b96cb00eaaeeb82b2be06a58253 | math::math:f27c94eb330a9b96cb00eaaeeb82b2be06a58253 | math::math:f27c94eb330a9b96cb00eaaeeb82b2be06a58253 | math | math | 0 | 0 | 0 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 0 | i3 | 0 | i2_i3 |
always_i1 | math:ba783dfd93dd1db425ac6b0b9f5895ddfb81c3c5 | math::math:ba783dfd93dd1db425ac6b0b9f5895ddfb81c3c5 | math::math:ba783dfd93dd1db425ac6b0b9f5895ddfb81c3c5 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i3 | 1 | all_agree |
always_i1 | math:c01d65d9968308b1c85c647a3f6c2363c065dcf0 | math::math:c01d65d9968308b1c85c647a3f6c2363c065dcf0 | math::math:c01d65d9968308b1c85c647a3f6c2363c065dcf0 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:641e40315dde991a18cbe8dd58d27fe41921c8d0 | math::math:641e40315dde991a18cbe8dd58d27fe41921c8d0 | math::math:641e40315dde991a18cbe8dd58d27fe41921c8d0 | math | math | 0 | 0 | 0 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 0 | i3 | 0 | i2_i3 |
always_i1 | math:1600d7984a994a7a34e40785e0f4489df81933e8 | math::math:1600d7984a994a7a34e40785e0f4489df81933e8 | math::math:1600d7984a994a7a34e40785e0f4489df81933e8 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:267bff9d99d8bef9baf3112a646a223cd3c08aa9 | math::math:267bff9d99d8bef9baf3112a646a223cd3c08aa9 | math::math:267bff9d99d8bef9baf3112a646a223cd3c08aa9 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:343c4e798e893ac16a2ffce15f87a9f5a7c1a179 | math::math:343c4e798e893ac16a2ffce15f87a9f5a7c1a179 | math::math:343c4e798e893ac16a2ffce15f87a9f5a7c1a179 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i2 | 1 | all_agree |
always_i1 | math:8856a0b370d346b4bf972846aa8fb07dc248ba3f | math::math:8856a0b370d346b4bf972846aa8fb07dc248ba3f | math::math:8856a0b370d346b4bf972846aa8fb07dc248ba3f | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i1 | 1 | all_agree |
always_i1 | math:758fe848deba1a3bfd9dab9430001f7e0e21da1e | math::math:758fe848deba1a3bfd9dab9430001f7e0e21da1e | math::math:758fe848deba1a3bfd9dab9430001f7e0e21da1e | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i3 | 1 | all_agree |
always_i1 | math:91ee6be9d38dc6477ce9fc279caff6a6eacd1b4f | math::math:91ee6be9d38dc6477ce9fc279caff6a6eacd1b4f | math::math:91ee6be9d38dc6477ce9fc279caff6a6eacd1b4f | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i1 | 1 | all_agree |
always_i1 | math:a1f29fe337df62f31917b7fe7e006f9c85e8ed0b | math::math:a1f29fe337df62f31917b7fe7e006f9c85e8ed0b | math::math:a1f29fe337df62f31917b7fe7e006f9c85e8ed0b | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i3 | 1 | all_agree |
always_i1 | math:0a6014416bda9c4ab84fa7cc5db8b1865c303046 | math::math:0a6014416bda9c4ab84fa7cc5db8b1865c303046 | math::math:0a6014416bda9c4ab84fa7cc5db8b1865c303046 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i1 | 1 | all_agree |
always_i1 | math:9c8d0b87041d48e259f2ef4a42d84a3493975951 | math::math:9c8d0b87041d48e259f2ef4a42d84a3493975951 | math::math:9c8d0b87041d48e259f2ef4a42d84a3493975951 | math | math | 0 | 0 | 1 | 0 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i3 | 1 | i1_i3 |
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always_i1 | math:87cfe78fc780a4ae9db022d972c96dbde3d2da84 | math::math:87cfe78fc780a4ae9db022d972c96dbde3d2da84 | math::math:87cfe78fc780a4ae9db022d972c96dbde3d2da84 | math | math | 0 | 0 | 1 | 1 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 1 | i1 | 1 | all_agree |
always_i1 | math:93a18bb009cba62f3b67418035185781e69eabe1 | math::math:93a18bb009cba62f3b67418035185781e69eabe1 | math::math:93a18bb009cba62f3b67418035185781e69eabe1 | math | math | 0 | 0 | 0 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | i2 | null | i1 | 0 | i1 | 0 | all_agree |
End of preview.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Global CapDyn-Match(R-Zero Iter1–Iter3,严格 nested 5-fold)
本目录是唯一允许写入的实验工作区。三个 iteration 的 evaluation JSON 与 checkpoint 只读。
方法
从已保存的 Iter1/Iter2/Iter3 回答中监督选择,不重新生成、不重新 self-evolution。
- QA 表示:冻结 Iter2 encoder,对
(question, a_k)取 layer 23、最后一个非 padding token f_QA:StandardScaler → TruncatedSVD(≤128) → balanced LogisticRegressionf_cap:Question TF-IDF/SVD ⊕ 精确 7 维 agreement- 融合:行内 z-score,搜索
alpha ∈ {0.25,0.50,0.75}、margin ∈ {0,0.05,0.10} - 切分单位:
split_group_id = benchmark + question_id(AMC/AIME 的 32 个 rollout 不跨 fold)
路径
| 角色 | 路径 |
|---|---|
| Iter1 eval | /root/rzero_storage/evaluation/_root_rzero_storage_models_qwen3-4b_solver_v1_global_step_15_actor_huggingface |
| Iter2 eval | /root/rzero_storage/evaluation/_root_rzero_storage_models_qwen3-4b_solver_v2_global_step_15_actor_huggingface |
| Iter3 eval | /root/rzero_storage/evaluation/_root_rzero_storage_models_qwen3-4b_solver_v3_global_step_15_actor_huggingface |
| Iter2 encoder | /root/rzero_storage/models/qwen3-4b_solver_v2/global_step_15/actor/huggingface |
运行(必须使用 conda env r-zero)
conda activate r-zero
pytest -q tests
bash scripts/run_smoke.sh
python scripts/extract_iter2_qa_hidden.py --config configs/extract_hidden.yaml
bash scripts/run_full_nested5.sh
正式实验通过 tmux session rzero_capdyn_nested5 启动。
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