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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 39 new columns ({'ac', 'younger', 'female', 'ur', 'fip', 'trend', 'perc1519', 'male', 'totpop', 'aids', 'lnr', 'wht', 'totcase', 'poverty', 'tsq', 'sex', 'black', 'pi', 'year', 'wf15', 'age', 'id', 'bf15', 'wm15', 'blk', 'aidscapita', 'rate', 't', 'ir', 'repeal', 'perc', 'income', 'race', 'totrate', 'crack', 'fa', 'alcohol', 'acc', 'bm15'}) and 10 missing columns ({'net', 'firstname', 'region', 'margin.pre', 'gross', 'yod', 'surname', 'party', 'margin', 'yob'}).
This happened while the csv dataset builder was generating data using
hf://datasets/causal-nlp/causcibench_data/all_data/abortion_bf15.csv (at revision 9bb71bbd33e6cdd516c4185f5101872c11561f66)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, 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
fip: double
age: double
race: double
year: double
sex: int64
totcase: double
totpop: int64
rate: double
totrate: double
id: double
ir: double
crack: double
alcohol: double
income: double
ur: double
poverty: double
black: double
perc1519: double
perc: double
repeal: double
aids: double
aidscapita: double
ac: double
acc: double
trend: double
tsq: double
blk: double
wht: double
male: double
female: double
lnr: double
t: double
younger: double
fa: double
pi: double
wm15: double
wf15: double
bm15: double
bf15: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4530
to
{'surname': Value('string'), 'firstname': Value('string'), 'party': Value('string'), 'gross': Value('float64'), 'net': Value('float64'), 'yob': Value('float64'), 'yod': Value('int64'), 'margin.pre': Value('float64'), 'region': Value('string'), 'margin': 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 1339, 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 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 39 new columns ({'ac', 'younger', 'female', 'ur', 'fip', 'trend', 'perc1519', 'male', 'totpop', 'aids', 'lnr', 'wht', 'totcase', 'poverty', 'tsq', 'sex', 'black', 'pi', 'year', 'wf15', 'age', 'id', 'bf15', 'wm15', 'blk', 'aidscapita', 'rate', 't', 'ir', 'repeal', 'perc', 'income', 'race', 'totrate', 'crack', 'fa', 'alcohol', 'acc', 'bm15'}) and 10 missing columns ({'net', 'firstname', 'region', 'margin.pre', 'gross', 'yod', 'surname', 'party', 'margin', 'yob'}).
This happened while the csv dataset builder was generating data using
hf://datasets/causal-nlp/causcibench_data/all_data/abortion_bf15.csv (at revision 9bb71bbd33e6cdd516c4185f5101872c11561f66)
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.
surname
string | firstname
string | party
string | gross
float64 | net
float64 | yob
float64 | yod
int64 | margin.pre
float64 | region
string | margin
float64 |
|---|---|---|---|---|---|---|---|---|---|
Llewellyn
|
David
|
tory
| 12.135906
| 12.135906
| 1,916
| 1,992
| null |
Wales
| 0.056904
|
Morris
|
Claud
|
labour
| 12.448091
| 12.448091
| 1,920
| 2,000
| null |
South West England
| -0.049738
|
Walker
|
George
|
tory
| 12.42845
| 10.349009
| 1,914
| 1,999
| -0.057168
|
North East England
| -0.041589
|
Walker
|
Harold
|
labour
| 11.918452
| 12.395034
| 1,927
| 2,003
| -0.072509
|
Yorkshire and Humberside
| 0.023295
|
Waring
|
John
|
tory
| 13.520219
| 13.520219
| 1,923
| 1,989
| -0.26969
|
Greater London
| -0.230006
|
Brown
|
Ronald
|
labour
| 12.460515
| 9.631837
| 1,921
| 2,002
| 0.340959
|
Greater London
| 0.36797
|
Pine
|
Leslie
|
tory
| 11.985836
| 11.985836
| 1,907
| 1,987
| -0.210567
|
South West England
| -0.072641
|
Pink
|
Bonner
|
tory
| 11.634031
| 11.634031
| 1,912
| 1,984
| 0.273772
|
South East England
| 0.212945
|
Webster
|
Reginald
|
tory
| 12.516254
| 12.510036
| 1,905
| 1,998
| -0.169647
|
North West England
| -0.014466
|
Ridley
|
Jasper
|
labour
| 14.660862
| 14.652822
| 1,920
| 2,004
| -0.078551
|
South West England
| -0.130097
|
Underhill
|
Michael
|
tory
| 12.555969
| 12.555969
| 1,918
| 1,987
| -0.143719
|
Greater London
| -0.054886
|
Roberts
|
Thomas
|
labour
| 11.088129
| 11.03748
| 1,915
| 2,003
| -0.001931
|
Yorkshire and Humberside
| -0.035209
|
Roberts
|
Gwilym
|
labour
| 11.862987
| 11.862987
| 1,928
| 1,987
| -0.005034
|
East of England
| 0.058464
|
Roberts
|
Shelagh
|
tory
| 13.694241
| 13.694241
| 1,924
| 1,992
| -0.231121
|
Wales
| -0.301682
|
Roberts
|
Gordon
|
labour
| 12.432009
| 8.64782
| 1,921
| 2,003
| -0.056826
|
East Midlands
| -0.139705
|
Coles
|
Gerald
|
tory
| 11.468802
| 11.443688
| 1,933
| 2,002
| -0.088661
|
North East England
| -0.073401
|
Grant
|
William
|
tory
| 12.135906
| 12.135906
| 1,909
| 1,992
| 0.067399
|
Scotland
| 0.121591
|
Grant
|
John
|
labour
| 12.718026
| 12.689694
| 1,932
| 2,000
| 0.290152
|
Greater London
| 0.234982
|
Rees
|
Robert
|
labour
| 12.007443
| 12.007443
| 1,911
| 1,997
| -0.027663
|
Greater London
| -0.058777
|
Cryer
|
Robert
|
labour
| 12.477423
| 12.477423
| 1,934
| 1,994
| -0.178921
|
North West England
| -0.098552
|
Horne
|
Hampden
|
labour
| 11.948827
| 11.948827
| 1,903
| 1,993
| -0.134376
|
East of England
| -0.168306
|
Bidgood
|
John
|
tory
| 12.788762
| 12.773044
| 1,914
| 2,001
| 0.0326
|
North West England
| 0.071531
|
Fidler
|
Michael
|
tory
| 13.15903
| 13.15903
| 1,916
| 1,989
| -0.083164
|
North West England
| 0.056821
|
Faulds
|
Andrew
|
labour
| 12.448091
| 12.3993
| 1,923
| 2,000
| -0.050628
|
South West England
| 0.102956
|
Greene
|
Royden
|
tory
| 12.42845
| 11.830612
| 1,917
| 1,999
| -0.257032
|
East Midlands
| -0.088294
|
McWhirter
|
Norris
|
tory
| 15.032617
| 15.031173
| 1,925
| 2,004
| -0.065626
|
South East England
| -0.033458
|
Bourne-Arton
|
Anthony
|
tory
| 12.8456
| 12.8456
| 1,913
| 1,996
| 0.052728
|
North East England
| 0.088195
|
Baker
|
Wilfred
|
tory
| 12.448091
| 11.706153
| 1,920
| 2,000
| 0.411135
|
Scotland
| 0.211299
|
Baker
|
Douglas
|
labour
| 11.377708
| 11.377708
| 1,931
| 1,985
| -0.006848
|
East of England
| -0.097068
|
Stone
|
Frank
|
labour
| 11.839684
| 11.839684
| 1,905
| 1,988
| -0.145861
|
East of England
| -0.155973
|
Berkeley
|
Humphry
|
tory
| 12.70204
| 12.70204
| 1,926
| 1,994
| 0.129244
|
North West England
| 0.153394
|
Lee
|
Edwin
|
tory
| 12.250401
| 12.250401
| 1,911
| 1,989
| -0.316821
|
Greater London
| -0.293753
|
Dilks
|
John
|
labour
| 12.842884
| 12.837009
| 1,933
| 2,005
| -0.225507
|
East Midlands
| -0.188054
|
Read
|
George
|
labour
| 12.489674
| 12.307351
| 1,937
| 2,004
| -0.121692
|
North West England
| -0.079581
|
Cowling
|
Maurice
|
tory
| 12.597955
| 11.743358
| 1,926
| 2,005
| -0.162126
|
East Midlands
| -0.160564
|
Jenkin-Jones
|
Peter
|
tory
| 14.222569
| 14.222569
| 1,928
| 1,995
| -0.048689
|
East Midlands
| -0.038213
|
Irving
|
Sydney
|
labour
| 12.312188
| 12.312188
| 1,918
| 1,989
| null |
South East England
| 0.088086
|
Torney
|
Thomas
|
labour
| 12.443738
| 10.8343
| 1,915
| 1,998
| 0.171721
|
Yorkshire and Humberside
| 0.04325
|
Hindle
|
John
|
labour
| 12.089245
| 12.089245
| 1,920
| 1,991
| -0.197237
|
North West England
| -0.247255
|
Tinn
|
James
|
labour
| 12.42845
| 10.819012
| 1,922
| 1,999
| -0.02794
|
Yorkshire and Humberside
| 0.069758
|
Davis
|
James
|
tory
| 12.549277
| 11.919503
| 1,928
| 2,004
| -0.023095
|
South East England
| -0.082748
|
Grundy
|
Colin
|
labour
| 12.096256
| 12.096256
| 1,926
| 1,994
| 0.173076
|
East Midlands
| -0.003314
|
Goodwin
|
Harry
|
tory
| 13.835084
| 13.835084
| 1,909
| 1,998
| -0.018823
|
West Midlands
| -0.065892
|
Reeves
|
Kenneth
|
tory
| 12.402661
| 12.402661
| 1,932
| 2,004
| -0.142972
|
Greater London
| -0.116893
|
Ennals
|
John
|
labour
| 12.736417
| 12.736417
| 1,918
| 1,988
| null |
West Midlands
| -0.053053
|
Monks
|
Constance
|
tory
| 11.838598
| 11.838598
| 1,911
| 1,989
| -0.095082
|
North West England
| 0.029819
|
Normanton
|
Tom
|
tory
| 12.18284
| 12.18284
| 1,917
| 1,997
| -0.008649
|
North West England
| 0.020451
|
Clippingdale
|
Harold
|
tory
| 12.120109
| 12.120109
| 1,908
| 1,993
| -0.22267
|
West Midlands
| -0.191515
|
Pearson-Clarke
|
Anthony
|
labour
| 12.14628
| 12.14628
| 1,923
| 1,990
| -0.219733
|
East of England
| -0.139504
|
Hurst
|
Eric
|
labour
| 15.88569
| 15.877126
| 1,914
| 1,998
| null |
Greater London
| -0.021468
|
Havers
|
Michael
|
tory
| 12.135906
| 12.135906
| 1,923
| 1,992
| 0.187987
|
Greater London
| 0.235448
|
Williamson
|
Muriel
|
tory
| 12.587288
| 12.587288
| 1,904
| 1,985
| -0.103026
|
West Midlands
| -0.031723
|
Bell
|
Brian
|
tory
| 15.68696
| 15.68696
| 1,921
| 1,989
| -0.048082
|
North West England
| -0.04041
|
Bell
|
David
|
tory
| 12.172626
| 12.172626
| 1,926
| 1,991
| -0.189737
|
West Midlands
| -0.018392
|
Foord
|
John
|
labour
| 11.998508
| 11.998508
| 1,909
| 1,986
| -0.059197
|
Yorkshire and Humberside
| -0.011575
|
Bradley
|
Thomas
|
labour
| 13.257664
| 13.254361
| 1,926
| 2,002
| 0.038251
|
East Midlands
| 0.09877
|
Lawn
|
William
|
labour
| 11.30337
| 11.30337
| 1,907
| 1,987
| null |
North West England
| -0.08476
|
Carter-Jones
|
Lewis
|
labour
| 12.581188
| 10.100077
| 1,920
| 2,004
| 0.04041
|
North West England
| 0.146884
|
Larrow
|
Dennis
|
tory
| 11.344245
| 11.344245
| 1,920
| 1,986
| -0.113639
|
North East England
| -0.094972
|
Leach
|
Robin
|
tory
| 14.892715
| 14.892715
| 1,938
| 1,992
| -0.185351
|
Greater London
| -0.220049
|
Brum
|
Robert
|
tory
| 11.158432
| 11.158432
| 1,924
| 1,985
| -0.105292
|
Greater London
| -0.039678
|
Shearer
|
William
|
tory
| 12.372087
| 12.372087
| 1,910
| 1,997
| -0.502401
|
Scotland
| -0.485875
|
Keigwin
|
Timothy
|
tory
| 12.455547
| 12.455547
| 1,921
| 1,987
| -0.030243
|
South West England
| -0.008609
|
Johnston
|
Robert
|
tory
| 13.031676
| 13.027946
| 1,918
| 2,003
| -0.030456
|
Scotland
| -0.058093
|
Beaumont
|
Christopher
|
labour
| 12.553338
| 10.809825
| 1,926
| 2,005
| -0.060688
|
South West England
| -0.165521
|
Griffith
|
Huw
|
tory
| 12.372087
| 12.372087
| 1,930
| 1,997
| -0.009385
|
West Midlands
| -0.062367
|
Bassett
|
Philip
|
labour
| 12.597955
| 10.970168
| 1,931
| 2,005
| -0.187404
|
South East England
| -0.112113
|
Gurden
|
Harold
|
tory
| 13.37553
| 13.37553
| 1,903
| 1,989
| null |
West Midlands
| 0.149906
|
Moeran
|
Edward
|
labour
| 12.372087
| 12.372087
| 1,903
| 1,997
| null |
East of England
| 0.03437
|
Manley
|
Roy
|
labour
| 12.558403
| 12.547156
| 1,930
| 1,999
| -0.076651
|
East of England
| -0.167965
|
Insley
|
Noel
|
labour
| 12.597955
| 12.549528
| 1,922
| 2,005
| -0.003643
|
East of England
| -0.022152
|
Tucker
|
Geoffrey
|
tory
| 12.932396
| 12.924257
| 1,925
| 2,003
| -0.272127
|
West Midlands
| -0.185586
|
Unsworth
|
Cyril
|
tory
| 12.262951
| 12.262951
| 1,925
| 1,987
| -0.299292
|
North West England
| -0.108873
|
Wegg-Prosser
|
Charles
|
labour
| 11.652732
| 11.652732
| 1,910
| 1,996
| null |
Greater London
| -0.191153
|
Attlee
|
Christopher
|
labour
| 12.080836
| 12.080836
| 1,915
| 1,987
| -0.063538
|
North West England
| -0.129244
|
Russell
|
Dorothy
|
tory
| 11.782961
| 11.782961
| 1,895
| 1,992
| -0.16775
|
East Midlands
| -0.116643
|
Russell
|
Conrad
|
labour
| 13.001915
| 12.991219
| 1,937
| 2,004
| -0.165361
|
Greater London
| -0.06768
|
Barber
|
Anthony
|
tory
| 11.946048
| 11.407024
| 1,920
| 2,005
| -0.018284
|
Yorkshire and Humberside
| 0.007738
|
Edmonds
|
Richard
|
labour
| 11.815145
| 11.815145
| 1,910
| 1,988
| -0.098729
|
Greater London
| -0.143551
|
Benenson
|
Peter
|
labour
| 13.02211
| 13.007871
| 1,921
| 2,005
| -0.052754
|
South West England
| -0.018638
|
King
|
Horace
|
labour
| 12.510087
| 12.510087
| 1,901
| 1,986
| null |
South East England
| 0.026502
|
Derbyshire
|
William
|
tory
| 12.448091
| 12.448091
| 1,913
| 2,000
| -0.233774
|
East Midlands
| -0.148558
|
Hooker
|
Michael
|
tory
| 13.298142
| 13.250703
| 1,923
| 2,004
| -0.245824
|
West Midlands
| -0.123763
|
Waite
|
Geoffrey
|
tory
| 9.76089
| 9.76089
| 1,925
| 1,987
| -0.097273
|
East Midlands
| -0.082265
|
Thompson
|
Richard
|
tory
| 14.037888
| 14.030214
| 1,912
| 1,999
| null |
Greater London
| 0.021802
|
Thompson
|
Kenneth
|
tory
| 11.842941
| 11.842941
| 1,909
| 1,984
| null |
North West England
| 0.080306
|
Thompson
|
Frank
|
labour
| 12.448091
| 12.448091
| 1,938
| 2,000
| -0.076305
|
East of England
| -0.058526
|
Crehan
|
Thomas
|
labour
| 10.611629
| 10.611629
| 1,919
| 1,986
| null |
West Midlands
| -0.079055
|
Janis
|
Morris
|
labour
| 13.098686
| 13.077907
| 1,913
| 2,001
| -0.053814
|
East of England
| -0.091724
|
Rippon
|
Geoffrey
|
tory
| 14.004919
| 14.004919
| 1,924
| 1,997
| 0.050887
|
East of England
| 0.049438
|
Cleaver
|
Leonard
|
tory
| 13.080461
| 13.080461
| 1,909
| 1,993
| -0.070487
|
West Midlands
| 0.030387
|
Matterson
|
Alan
|
labour
| 12.70424
| 12.603789
| 1,929
| 2,005
| -0.114482
|
South East England
| -0.055126
|
Moody
|
Aubrey
|
tory
| 11.251353
| 11.251353
| 1,911
| 2,004
| -0.039844
|
East of England
| -0.015711
|
Warren
|
Brian
|
tory
| 12.402979
| 12.402979
| 1,914
| 1,996
| -0.139269
|
Greater London
| -0.061896
|
Johnson
|
Walter
|
labour
| 12.51902
| 11.972855
| 1,917
| 2,003
| 0.257032
|
East Midlands
| 0.088294
|
Johnson
|
Carol
|
labour
| 12.868566
| 12.868566
| 1,903
| 2,000
| 0.148551
|
Greater London
| 0.072639
|
Leitch
|
Alexander
|
tory
| 12.432009
| 10.845044
| 1,926
| 2,003
| -0.242477
|
Yorkshire and Humberside
| -0.164693
|
Richardson
|
Josephine
|
labour
| 12.096256
| 12.096256
| 1,923
| 1,994
| -0.144481
|
Greater London
| -0.058897
|
Richardson
|
Francis
|
tory
| 12.39495
| 12.39495
| 1,914
| 1,987
| null |
East Midlands
| -0.082849
|
Richardson
|
Kenneth
|
labour
| 10.858437
| 10.858437
| 1,912
| 1,986
| -0.132751
|
West Midlands
| -0.197824
|
End of preview.
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CAIS Dataset
This repository contains 56 datasets from real-world studies and research, organized into two main categories:
- Real-World Studies : Classic datasets from influential studies in political science, labor economics, public health, and public policy
- QRData : Datasets from Liu et al. (2024) for benchmarking quantitative and causal reasoning with data
Dataset Information
For complete information about each dataset, including:
- Data sources and download links
- Original research studies
- Modifications (if any)
Please refer to data_source_and_license.pdf
Licenses
This collection contains datasets under various licenses including CC BY-NC, CC0, MIT, and GPL 3.0.
Important:
- Most datasets are restricted to non-commercial use and require attribution to original authors.
- Users must review the terms of use at the original data sources.
Please review:
LICENSE.mdfor licensing informationdata_source_and_license.pdffor links to original data sources and their terms of use
Citation
If you use these datasets in your research, please cite the original studies as specified in data_source_and_license.pdf.
Usage
Users are responsible for:
- Reviewing the license for each dataset they use
- Properly citing original authors and sources
- Complying with usage restrictions (e.g., non-commercial use)
- Verifying data quality and appropriateness for their research
Contributing
If you find any issues with the datasets or documentation, please open an issue or submit a pull request.
Disclaimer
This is a collection of publicly available datasets. The repository maintainer makes no warranties about the accuracy or completeness of the data. Users should verify data quality and refer to original sources for questions about individual datasets.
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