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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'imdb_id', 'Unnamed: 0'}) and 26 missing columns ({'Music', 'script', 'Drama', 'Fantasy', 'Mystery', 'vote_average', 'Thriller', 'language', 'War', 'Romance', 'Adventure', 'bechdel_id', 'vote_count', 'Animation', 'script_date', 'Comedy', 'Western', 'Science Fiction', 'Crime', 'Action', '0', 'Family', 'release_year', 'History', 'Horror', 'popularity'}).

This happened while the csv dataset builder was generating data using

hf://datasets/mocboch/movie_scripts/Table_2_Metadata_No_Scripts.csv (at revision 834cef3b1d5962f4a0aa27e6a4183a2046dd767f)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Unnamed: 0: int64
              imdb_id: int64
              title: string
              overview: string
              bechdel_rating: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 842
              to
              {'0': Value(dtype='int64', id=None), 'script_date': Value(dtype='string', id=None), 'script': Value(dtype='string', id=None), 'bechdel_id': Value(dtype='int64', id=None), 'title': Value(dtype='string', id=None), 'release_year': Value(dtype='int64', id=None), 'bechdel_rating': Value(dtype='int64', id=None), 'language': Value(dtype='string', id=None), 'popularity': Value(dtype='float64', id=None), 'vote_average': Value(dtype='float64', id=None), 'vote_count': Value(dtype='int64', id=None), 'overview': Value(dtype='string', id=None), 'Drama': Value(dtype='int64', id=None), 'Romance': Value(dtype='int64', id=None), 'Adventure': Value(dtype='int64', id=None), 'Fantasy': Value(dtype='int64', id=None), 'Family': Value(dtype='int64', id=None), 'Mystery': Value(dtype='int64', id=None), 'Crime': Value(dtype='int64', id=None), 'Thriller': Value(dtype='int64', id=None), 'War': Value(dtype='int64', id=None), 'Comedy': Value(dtype='int64', id=None), 'Music': Value(dtype='int64', id=None), 'Western': Value(dtype='int64', id=None), 'Horror': Value(dtype='int64', id=None), 'Science Fiction': Value(dtype='int64', id=None), 'Action': Value(dtype='int64', id=None), 'Animation': Value(dtype='int64', id=None), 'History': Value(dtype='int64', id=None)}
              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 1534, 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 1155, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({'imdb_id', 'Unnamed: 0'}) and 26 missing columns ({'Music', 'script', 'Drama', 'Fantasy', 'Mystery', 'vote_average', 'Thriller', 'language', 'War', 'Romance', 'Adventure', 'bechdel_id', 'vote_count', 'Animation', 'script_date', 'Comedy', 'Western', 'Science Fiction', 'Crime', 'Action', '0', 'Family', 'release_year', 'History', 'Horror', 'popularity'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/mocboch/movie_scripts/Table_2_Metadata_No_Scripts.csv (at revision 834cef3b1d5962f4a0aa27e6a4183a2046dd767f)
              
              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.

0
int64
script_date
string
script
string
bechdel_id
int64
title
string
release_year
int64
bechdel_rating
int64
language
string
popularity
float64
vote_average
float64
vote_count
int64
overview
string
Drama
int64
Romance
int64
Adventure
int64
Fantasy
int64
Family
int64
Mystery
int64
Crime
int64
Thriller
int64
War
int64
Comedy
int64
Music
int64
Western
int64
Horror
int64
Science Fiction
int64
Action
int64
Animation
int64
History
int64
22,958
null
" GRAND HOTEL\r\n\r\n\r\n\r\n (...TRUNCATED)
1,328
Grand Hotel
1,932
3
en
85.188
6.959
294
Guests at a posh Berlin hotel struggle through worry, scandal, and heartache.
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
32,138
March 1939
"FADE IN -- Title:\r\n\r\nFor nearly forty years this story has given faithful service\r\nto the You(...TRUNCATED)
174
Wizard of Oz, The
1,939
3
en
81.243
7.6
5,346
"Young Dorothy finds herself in a magical world where she makes friends with a lion, a scarecrow and(...TRUNCATED)
0
0
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
33,467
null
"Citizen Kane \r\n\r\n By\r\n\r\n (...TRUNCATED)
1,266
Citizen Kane
1,941
1
en
331.301
8.008
5,312
"Newspaper magnate Charles Foster Kane is taken from his mother as a boy and made the ward of a rich(...TRUNCATED)
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
113,101
null
"\"FOUR ROOMS\"\r\n\r\n Screenplay by\r\n\r\n (...TRUNCATED)
986
Four rooms
1,995
3
en
21.231
5.829
2,568
"It's Ted the Bellhop's first night on the job...and the hotel's very unusual guests are about to pl(...TRUNCATED)
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
42,192
null
"FADE IN:\r\n\nINT. DINING HALL - SARAH SIDDONS SOCIETY - NIGHT\r\n\r\nIt is not a large room and ja(...TRUNCATED)
139
All About Eve
1,950
3
en
18.633
8.1
1,462
"From the moment she glimpses her idol at the stage door, Eve Harrington is determined to take the r(...TRUNCATED)
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
43,014
May 1949
"\tSUNSET BOULEVARD\r\n\r\n\r\n Charles Brackett\r\n Billy Wilder\r\n D.M. Marshman, Jr.\r\n\r\n (...TRUNCATED)
608
Sunset Blvd.
1,950
3
en
60.379
8.31
2,470
"A hack screenwriter writes a screenplay for a former silent film star who has faded into Hollywood (...TRUNCATED)
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
44,079
October 1950
"STRANGERS ON A TRAIN\r\n\r\n by\r\n\r\n Raymond Chandler an(...TRUNCATED)
1,417
Strangers on a Train
1,951
2
en
25.712
7.68
1,598
"Two strangers meet on a train. They’ve never met before. Both of whom have someone they’d like (...TRUNCATED)
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
45,793
August 1952
" FROM HERE TO ETERNITY\r\n\r\n\r\n \r\n (...TRUNCATED)
4,071
From Here to Eternity
1,953
3
en
21.893
7.309
599
"In 1941 Hawaii, a private is cruelly punished for not boxing on his unit's team, while his captain'(...TRUNCATED)
1
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
47,673
July 1953
" \"WHITE CHRISTMAS\"\r\n\r\n (...TRUNCATED)
1,391
White Christmas
1,954
3
en
16.61
7.233
482
"Two talented song-and-dance men team up after the war to become one of the hottest acts in show bus(...TRUNCATED)
0
1
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
48,545
null
" REBEL WITHOUT A CAUSE\r\n\r\n by\r\n\r\n (...TRUNCATED)
2,926
Rebel Without a Cause
1,955
1
en
28.732
7.542
1,557
"After moving to a new town, troublemaking teen Jim Stark is supposed to have a clean slate, althoug(...TRUNCATED)
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
End of preview.

Dataset Card for Movie Script Data

This data comes from The Bechdel Test Movie List and TMDb via their APIs. Movie scripts for this initial set are scraped from IMSDb. Most but not all of the scripts are in English. This data was compiled in early 2024.

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