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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 6 new columns ({'human_effect', 'cond_a', 'cond_b', 'outcome', 'true_effect', 'gpt4_effect'}) and 6 missing columns ({'omin', 'condition.name', 'outcome.name', 'model', 'omax', 'pred'}).

This happened while the csv dataset builder was generating data using

hf://datasets/su3su2u1/repro-human-ai-complementarity-inputs/CONTRAST_level_true_gpt4_human.csv (at revision cfdb71e7f888ba11a5b267406fb0b01dd1bdb417), ['hf://datasets/su3su2u1/repro-human-ai-complementarity-inputs@cfdb71e7f888ba11a5b267406fb0b01dd1bdb417/ALL_MODEL_condition_means.csv', 'hf://datasets/su3su2u1/repro-human-ai-complementarity-inputs@cfdb71e7f888ba11a5b267406fb0b01dd1bdb417/CONTRAST_level_true_gpt4_human.csv', 'hf://datasets/su3su2u1/repro-human-ai-complementarity-inputs@cfdb71e7f888ba11a5b267406fb0b01dd1bdb417/MERGED_condition_level.csv', 'hf://datasets/su3su2u1/repro-human-ai-complementarity-inputs@cfdb71e7f888ba11a5b267406fb0b01dd1bdb417/RA_study_features.csv', 'hf://datasets/su3su2u1/repro-human-ai-complementarity-inputs@cfdb71e7f888ba11a5b267406fb0b01dd1bdb417/tess_items.csv', 'hf://datasets/su3su2u1/repro-human-ai-complementarity-inputs@cfdb71e7f888ba11a5b267406fb0b01dd1bdb417/tess_pairs.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/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              study: string
              outcome: string
              cond_a: string
              cond_b: string
              true_effect: double
              gpt4_effect: double
              human_effect: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1099
              to
              {'model': Value('string'), 'study': Value('string'), 'outcome.name': Value('string'), 'condition.name': Value('string'), 'pred': Value('float64'), 'omin': Value('int64'), 'omax': Value('int64')}
              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 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 1683, 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 1839, 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 6 new columns ({'human_effect', 'cond_a', 'cond_b', 'outcome', 'true_effect', 'gpt4_effect'}) and 6 missing columns ({'omin', 'condition.name', 'outcome.name', 'model', 'omax', 'pred'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/su3su2u1/repro-human-ai-complementarity-inputs/CONTRAST_level_true_gpt4_human.csv (at revision cfdb71e7f888ba11a5b267406fb0b01dd1bdb417), ['hf://datasets/su3su2u1/repro-human-ai-complementarity-inputs@cfdb71e7f888ba11a5b267406fb0b01dd1bdb417/ALL_MODEL_condition_means.csv', 'hf://datasets/su3su2u1/repro-human-ai-complementarity-inputs@cfdb71e7f888ba11a5b267406fb0b01dd1bdb417/CONTRAST_level_true_gpt4_human.csv', 'hf://datasets/su3su2u1/repro-human-ai-complementarity-inputs@cfdb71e7f888ba11a5b267406fb0b01dd1bdb417/MERGED_condition_level.csv', 'hf://datasets/su3su2u1/repro-human-ai-complementarity-inputs@cfdb71e7f888ba11a5b267406fb0b01dd1bdb417/RA_study_features.csv', 'hf://datasets/su3su2u1/repro-human-ai-complementarity-inputs@cfdb71e7f888ba11a5b267406fb0b01dd1bdb417/tess_items.csv', 'hf://datasets/su3su2u1/repro-human-ai-complementarity-inputs@cfdb71e7f888ba11a5b267406fb0b01dd1bdb417/tess_pairs.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.

model
string
study
string
outcome.name
string
condition.name
string
pred
float64
omin
int64
omax
int64
babbage-002
AnsonBRIEF60
blue_collar_positivity
Control group 1
3.184219
1
5
babbage-002
AnsonBRIEF60
blue_collar_positivity
Treatment group 1
3.204457
1
5
babbage-002
AnsonBRIEF60
economy_positivity
Control group 1
2.915065
1
5
babbage-002
AnsonBRIEF60
economy_positivity
Treatment group 1
2.977304
1
5
babbage-002
berganS20
support
1 [Republican with instruction]
2.345316
1
7
babbage-002
berganS20
support
2 [Democrat with instruction]
2.338613
1
7
babbage-002
Blair1131
Approve_Handling
Male, Democrat, Eric Engage
2.857004
1
7
babbage-002
Blair1131
Approve_Handling
Male, Democrat, Eric, Not engage
2.90934
1
7
babbage-002
Blair1131
Approve_Handling
Male, Democrat, Eric, Stay out
2.837509
1
7
babbage-002
Blair1131
Approve_Handling
Male, Democrat, Erica, Engage
2.827501
1
7
babbage-002
Blair1131
Approve_Handling
Male, Democrat, Erica, Not engage
2.836642
1
7
babbage-002
Blair1131
Approve_Handling
Male, Democrat, Erica, Stay out
2.796086
1
7
babbage-002
Blair1131
Approve_Handling
Male, Republican, Eric, Engage
2.763406
1
7
babbage-002
Blair1131
Approve_Handling
Male, Republican, Eric, Not engage
2.888936
1
7
babbage-002
Blair1131
Approve_Handling
Male, Republican, Eric, Stay out
2.753509
1
7
babbage-002
Blair1131
Approve_Handling
Male, Republican, Erica, Engage
2.75593
1
7
babbage-002
Blair1131
Approve_Handling
Male, Republican, Erica, Not engage
3.046012
1
7
babbage-002
Blair1131
Approve_Handling
Male, Republican, Erica, Stay out
2.914379
1
7
babbage-002
bolsenM6
Providing Personal Pronouns
Baseline
2.244978
1
7
babbage-002
bolsenM6
Providing Personal Pronouns
Descriptive Information
2.282354
1
7
babbage-002
bolsenM6
Providing Personal Pronouns
Descriptive Information + Injunctive Norm
2.143082
1
7
babbage-002
bolsenM6
Providing Personal Pronouns
Injunctive Norm
2.204933
1
7
babbage-002
bolsenM6
They/Them Pronouns in Forms
Baseline
2.681925
1
7
babbage-002
bolsenM6
They/Them Pronouns in Forms
Descriptive Information
2.621906
1
7
babbage-002
bolsenM6
They/Them Pronouns in Forms
Descriptive Information + Injunctive Norm
2.57261
1
7
babbage-002
bolsenM6
They/Them Pronouns in Forms
Injunctive Norm
2.590989
1
7
babbage-002
bolsenM6
Using They/Them Pronouns
Baseline
3.13964
1
7
babbage-002
bolsenM6
Using They/Them Pronouns
Descriptive Information
3.153761
1
7
babbage-002
bolsenM6
Using They/Them Pronouns
Descriptive Information + Injunctive Norm
3.067376
1
7
babbage-002
bolsenM6
Using They/Them Pronouns
Injunctive Norm
2.930034
1
7
babbage-002
Bougher893
warmth Candidate A
CONTROL (NO PARTY CUE) x ALIGNED
26.56714
0
100
babbage-002
Bougher893
warmth Candidate A
CONTROL (NO PARTY CUE) x CROSS-PRESSURED, NON-SALIENT
27.458487
0
100
babbage-002
Bougher893
warmth Candidate A
CONTROL (NO PARTY CUE) x CROSS-PRESSURED, SALIENT
25.568531
0
100
babbage-002
Bougher893
warmth Candidate B
CONTROL (NO PARTY CUE) x ALIGNED
33.711839
0
100
babbage-002
Bougher893
warmth Candidate B
CONTROL (NO PARTY CUE) x CROSS-PRESSURED, NON-SALIENT
31.422607
0
100
babbage-002
Bougher893
warmth Candidate B
CONTROL (NO PARTY CUE) x CROSS-PRESSURED, SALIENT
31.610584
0
100
babbage-002
Bougher893
warmth gop
CONTROL (NO PARTY CUE) x ALIGNED
30.882302
0
100
babbage-002
Bougher893
warmth gop
CONTROL (NO PARTY CUE) x CROSS-PRESSURED, NON-SALIENT
30.859484
0
100
babbage-002
Bougher893
warmth gop
CONTROL (NO PARTY CUE) x CROSS-PRESSURED, SALIENT
34.194083
0
100
babbage-002
Braman751
legitimacy
Gun Control, Clear Authority, 15% support
4.404336
1
7
babbage-002
Braman751
legitimacy
Gun Control, Clear Authority, 85% support
4.320984
1
7
babbage-002
Braman751
legitimacy
Gun Control, Clearly No Authority, 15% support
4.280993
1
7
babbage-002
Braman751
legitimacy
Gun Control, Clearly No Authority, 85% support
4.275752
1
7
babbage-002
Braman751
legitimacy
Gun Control, Divided, 85% support
4.382445
1
7
babbage-002
Braman751
legitimacy
Gun Control, Divided. 15% support
4.561571
1
7
babbage-002
Braman751
legitimacy
Immigration, Clear Authority, 15% support
3.991702
1
7
babbage-002
Braman751
legitimacy
Immigration, Clear Authority, 85% support
3.902408
1
7
babbage-002
Braman751
legitimacy
Immigration, Clearly No Authority, 15% support
4.037415
1
7
babbage-002
Braman751
legitimacy
Immigration, Clearly No Authority, 85% support
4.200328
1
7
babbage-002
Braman751
legitimacy
Immigration, Divided, 15% support
3.828066
1
7
babbage-002
Braman751
legitimacy
Immigration, Divided, 85% support
3.993257
1
7
babbage-002
Braman751
pass_legislation
Gun Control, Clear Authority, 15% support
2.197964
1
6
babbage-002
Braman751
pass_legislation
Gun Control, Clear Authority, 85% support
2.246117
1
6
babbage-002
Braman751
pass_legislation
Gun Control, Clearly No Authority, 15% support
2.177735
1
6
babbage-002
Braman751
pass_legislation
Gun Control, Clearly No Authority, 85% support
2.17044
1
6
babbage-002
Braman751
pass_legislation
Gun Control, Divided, 85% support
2.117121
1
6
babbage-002
Braman751
pass_legislation
Gun Control, Divided. 15% support
2.279211
1
6
babbage-002
Braman751
pass_legislation
Immigration, Clear Authority, 15% support
2.260341
1
6
babbage-002
Braman751
pass_legislation
Immigration, Clear Authority, 85% support
2.314986
1
6
babbage-002
Braman751
pass_legislation
Immigration, Clearly No Authority, 15% support
2.337013
1
6
babbage-002
Braman751
pass_legislation
Immigration, Clearly No Authority, 85% support
2.306073
1
6
babbage-002
Braman751
pass_legislation
Immigration, Divided, 15% support
2.35387
1
6
babbage-002
Braman751
pass_legislation
Immigration, Divided, 85% support
2.359958
1
6
babbage-002
Braman751
scholar_credibility
Gun Control, Clear Authority, 15% support
1.704071
1
2
babbage-002
Braman751
scholar_credibility
Gun Control, Clear Authority, 85% support
1.733811
1
2
babbage-002
Braman751
scholar_credibility
Gun Control, Clearly No Authority, 15% support
1.705777
1
2
babbage-002
Braman751
scholar_credibility
Gun Control, Clearly No Authority, 85% support
1.686856
1
2
babbage-002
Braman751
scholar_credibility
Gun Control, Divided, 85% support
1.721103
1
2
babbage-002
Braman751
scholar_credibility
Gun Control, Divided. 15% support
1.751381
1
2
babbage-002
Braman751
scholar_credibility
Immigration, Clear Authority, 15% support
1.711811
1
2
babbage-002
Braman751
scholar_credibility
Immigration, Clear Authority, 85% support
1.750332
1
2
babbage-002
Braman751
scholar_credibility
Immigration, Clearly No Authority, 15% support
1.727561
1
2
babbage-002
Braman751
scholar_credibility
Immigration, Clearly No Authority, 85% support
1.742637
1
2
babbage-002
Braman751
scholar_credibility
Immigration, Divided, 15% support
1.742356
1
2
babbage-002
Braman751
scholar_credibility
Immigration, Divided, 85% support
1.742013
1
2
babbage-002
brandtS1
coppock_dv_name
1 [1]
2.726131
1
7
babbage-002
brandtS1
coppock_dv_name
2 [2]
2.799488
1
7
babbage-002
bucci1408
Caught
A: Drunk Driving, High Risk
22.716176
0
100
babbage-002
bucci1408
Caught
A: Drunk Driving, Low Risk
24.845914
0
100
babbage-002
bucci1408
Respect
A: Drunk Driving, High Risk
1.505436
1
5
babbage-002
bucci1408
Respect
A: Drunk Driving, Low Risk
1.506333
1
5
babbage-002
bucci1408
Rewarding
A: Drunk Driving, High Risk
46.931714
0
100
babbage-002
bucci1408
Rewarding
A: Drunk Driving, Low Risk
46.603006
0
100
babbage-002
CalarcoS38
Approval
HIGH STATUS, HEAVY DRINKIG, WARNING
3.614329
1
5
babbage-002
CalarcoS38
Approval
HIGH STATUS, HEAVY DRINKING, NO WARNING
3.650359
1
5
babbage-002
CalarcoS38
Approval
HIGH STATUS, LIGHT DRINKING, NO WARNING
3.711901
1
5
babbage-002
CalarcoS38
Approval
HIGH STATUS, LIGHT DRINKING, WARNING
3.62876
1
5
babbage-002
CalarcoS38
Approval
HIGH STATUS, NO DRINKING, NO WARNING
3.782238
1
5
babbage-002
CalarcoS38
Approval
HIGH STATUS, NO DRINKING, WARNING
3.835446
1
5
babbage-002
CalarcoS38
Approval
LOW STATUS, HEAVY DRINKING, NO WARNING
3.626718
1
5
babbage-002
CalarcoS38
Approval
LOW STATUS, HEAVY DRINKING, WARNING
3.64211
1
5
babbage-002
CalarcoS38
Approval
LOW STATUS, LIGHT DRINKING, NO WARNING
3.655354
1
5
babbage-002
CalarcoS38
Approval
LOW STATUS, LIGHT DRINKING, WARNING
3.767334
1
5
babbage-002
CalarcoS38
Approval
LOW STATUS, NO DRINKING, NO WARNING
3.78334
1
5
babbage-002
CalarcoS38
Approval
LOW STATUS, NO DRINKING, WARNING
3.846601
1
5
babbage-002
Campbell1308
Gender Roles
Control
4.762708
0
10
babbage-002
Campbell1308
Gender Roles
Democratic story
5.437131
0
10
babbage-002
Campbell1308
Gender Roles
Non-Partisan story
5.456388
0
10
babbage-002
Campbell1308
Gender Roles
Republican story
5.563963
0
10
babbage-002
Campbell1308
Political Engagement
Control
2.967063
0
10
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