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Datasets:
EduDevCommons
/
Cricket-World-Cup-T20-Dataset

Tasks:
Tabular Classification
License:
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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 ({'overs', 'dots', 'bowler', 'economy', 'wickets', 'maidens'}) and 6 missing columns ({'dismissal', 'fours', 'sixes', 'balls', 'strike_rate', 'batter'}).

This happened while the csv dataset builder was generating data using

zip://bowling.csv::hf://datasets/EduDevCommons/Cricket-World-Cup-T20-Dataset@6856fdd6cd5f03de815a788ef7fcd68babe668ce/Cricket World Cup T20 Dataset.zip, ['hf://datasets/EduDevCommons/Cricket-World-Cup-T20-Dataset@6856fdd6cd5f03de815a788ef7fcd68babe668ce/Cricket World Cup T20 Dataset.zip']

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
              match_id: string
              tournament_year: int64
              inning: int64
              team: string
              bowler: string
              overs: int64
              maidens: int64
              runs: int64
              wickets: int64
              economy: double
              dots: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1504
              to
              {'match_id': Value('string'), 'tournament_year': Value('int64'), 'inning': Value('int64'), 'team': Value('string'), 'batter': Value('string'), 'runs': Value('int64'), 'balls': Value('int64'), 'fours': Value('int64'), 'sixes': Value('int64'), 'strike_rate': Value('float64'), 'dismissal': Value('string')}
              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 ({'overs', 'dots', 'bowler', 'economy', 'wickets', 'maidens'}) and 6 missing columns ({'dismissal', 'fours', 'sixes', 'balls', 'strike_rate', 'batter'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://bowling.csv::hf://datasets/EduDevCommons/Cricket-World-Cup-T20-Dataset@6856fdd6cd5f03de815a788ef7fcd68babe668ce/Cricket World Cup T20 Dataset.zip, ['hf://datasets/EduDevCommons/Cricket-World-Cup-T20-Dataset@6856fdd6cd5f03de815a788ef7fcd68babe668ce/Cricket World Cup T20 Dataset.zip']
              
              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.

match_id
string
tournament_year
int64
inning
int64
team
string
batter
string
runs
int64
balls
int64
fours
int64
sixes
int64
strike_rate
float64
dismissal
string
MOCK_2007_1
2,007
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2007_1
2,007
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2007_1
2,007
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2007_2
2,007
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2007_2
2,007
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2007_2
2,007
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2007_3
2,007
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2007_3
2,007
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2007_3
2,007
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2007_4
2,007
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2007_4
2,007
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2007_4
2,007
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2009_1
2,009
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2009_1
2,009
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2009_1
2,009
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2009_2
2,009
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2009_2
2,009
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2009_2
2,009
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2009_3
2,009
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2009_3
2,009
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2009_3
2,009
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2009_4
2,009
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2009_4
2,009
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2009_4
2,009
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2010_1
2,010
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2010_1
2,010
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2010_1
2,010
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2010_2
2,010
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2010_2
2,010
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2010_2
2,010
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2010_3
2,010
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2010_3
2,010
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2010_3
2,010
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2010_4
2,010
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2010_4
2,010
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2010_4
2,010
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2012_1
2,012
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2012_1
2,012
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2012_1
2,012
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2012_2
2,012
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2012_2
2,012
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2012_2
2,012
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2012_3
2,012
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2012_3
2,012
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2012_3
2,012
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2012_4
2,012
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2012_4
2,012
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2012_4
2,012
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2014_1
2,014
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2014_1
2,014
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2014_1
2,014
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2014_2
2,014
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2014_2
2,014
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2014_2
2,014
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2014_3
2,014
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2014_3
2,014
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2014_3
2,014
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2014_4
2,014
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2014_4
2,014
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2014_4
2,014
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2016_1
2,016
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2016_1
2,016
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2016_1
2,016
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2016_2
2,016
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2016_2
2,016
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2016_2
2,016
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2016_3
2,016
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2016_3
2,016
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2016_3
2,016
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2016_4
2,016
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2016_4
2,016
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2016_4
2,016
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2021_1
2,021
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2021_1
2,021
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2021_1
2,021
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2021_2
2,021
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2021_2
2,021
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2021_2
2,021
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2021_3
2,021
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2021_3
2,021
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2021_3
2,021
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2021_4
2,021
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2021_4
2,021
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2021_4
2,021
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2022_1
2,022
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2022_1
2,022
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2022_1
2,022
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2022_2
2,022
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2022_2
2,022
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2022_2
2,022
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2022_3
2,022
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2022_3
2,022
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2022_3
2,022
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2022_4
2,022
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2022_4
2,022
1
England
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2022_4
2,022
2
Pakistan
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2024_1
2,024
1
India
V. Kohli
82
53
6
3
154.7
c sub b Starc
MOCK_2024_1
2,024
1
India
R. Sharma
47
32
4
2
146.9
b Cummins
MOCK_2024_1
2,024
2
Australia
D. Warner
58
41
5
2
141.5
c Jadeja b Bumrah
MOCK_2024_2
2,024
1
England
V. Kohli
82
53
6
3
154.7
c sub b Starc
End of preview.

Cricket World Cup T20 Dataset

This dataset was published on Kaggle by Samyakraj Bayar and mirrored here.

Download

The dataset is available as a ZIP archive: Cricket World Cup T20 Dataset.zip

License

MIT
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Total file size:
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