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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 10 new columns ({'wides', 'conceded', 'overs', 'maidens', 'wickets', 'bowler id', 'noballs', 'dots', 'opposition', 'economy'}) and 7 missing columns ({'strikeRate', 'fielders', 'wicketType', 'isOut', 'batsman', 'runs', 'bowler'}). This happened while the csv dataset builder was generating data using hf://datasets/bhuvaneshprasad/odi-cricket-dataset-1971-2014/odi_Bowling_Card.csv (at revision dbe8f34ce6e781fd52c0ae8ddd5807a539646047) 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 Match ID: int64 innings: int64 team: string opposition: string bowler id: double overs: double balls: double maidens: double conceded: double wickets: double economy: double dots: double fours: double sixes: double wides: double noballs: double -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2075 to {'Match ID': Value(dtype='int64', id=None), 'innings': Value(dtype='int64', id=None), 'team': Value(dtype='string', id=None), 'batsman': Value(dtype='float64', id=None), 'runs': Value(dtype='float64', id=None), 'balls': Value(dtype='float64', id=None), 'fours': Value(dtype='float64', id=None), 'sixes': Value(dtype='float64', id=None), 'strikeRate': Value(dtype='float64', id=None), 'isOut': Value(dtype='bool', id=None), 'wicketType': Value(dtype='string', id=None), 'fielders': Value(dtype='string', id=None), 'bowler': Value(dtype='float64', 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 1321, 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 935, 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 10 new columns ({'wides', 'conceded', 'overs', 'maidens', 'wickets', 'bowler id', 'noballs', 'dots', 'opposition', 'economy'}) and 7 missing columns ({'strikeRate', 'fielders', 'wicketType', 'isOut', 'batsman', 'runs', 'bowler'}). This happened while the csv dataset builder was generating data using hf://datasets/bhuvaneshprasad/odi-cricket-dataset-1971-2014/odi_Bowling_Card.csv (at revision dbe8f34ce6e781fd52c0ae8ddd5807a539646047) 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)
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Match ID
int64 | innings
int64 | team
string | batsman
float64 | runs
float64 | balls
float64 | fours
float64 | sixes
float64 | strikeRate
float64 | isOut
bool | wicketType
string | fielders
string | bowler
null |
---|---|---|---|---|---|---|---|---|---|---|---|---|
64,381 | 1 | Sri Lanka | 1,810 | 5 | 17 | 0 | 0 | 29.41 | true | lbw | null | null |
64,357 | 1 | Pakistan | 1,981 | 35 | 48 | 2 | 0 | 72.91 | true | caught | ['1977'] | null |
65,455 | 1 | Australia | 1,922 | 16 | 30 | 1 | 0 | 53.33 | true | caught | ['1945'] | null |
64,381 | 1 | Sri Lanka | 1,987 | 6 | 46 | 0 | 0 | 13.04 | true | caught | ['1980'] | null |
64,357 | 1 | Pakistan | 1,750 | 114 | 123 | 14 | 0 | 92.68 | true | run out | null | null |
251,495 | 1 | Australia | 2,119 | 24 | 36 | 5 | 0 | 66.66 | true | caught | ['4380'] | null |
65,455 | 1 | Australia | 1,793 | 9 | 25 | 1 | 0 | 36 | true | caught | ['1945'] | null |
64,555 | 1 | India | 1,934 | 1 | 11 | 0 | 0 | 9.09 | true | caught | ['1982'] | null |
64,381 | 1 | Sri Lanka | 1,789 | 37 | 56 | 3 | 0 | 66.07 | true | caught | ['1383'] | null |
64,357 | 1 | Pakistan | 1,672 | 65 | 68 | 5 | 0 | 95.58 | false | not out | ['-'] | null |
65,826 | 1 | India | 2,060 | 25 | 37 | 2 | 0 | 67.56 | true | caught | ['2147'] | null |
251,495 | 1 | Australia | 10,538 | 3 | 16 | 0 | 0 | 18.75 | true | caught | ['2121'] | null |
65,878 | 1 | West Indies | 2,023 | 8 | 22 | 1 | 0 | 36.36 | true | caught | ['2024'] | null |
65,455 | 1 | Australia | 1,754 | 69 | 98 | 2 | 0 | 70.4 | true | run out | null | null |
64,555 | 1 | India | 2,024 | 4 | 5 | 1 | 0 | 80 | true | bowled | null | null |
64,566 | 1 | New Zealand | 2,235 | 33 | 37 | 7 | 0 | 89.18 | true | caught | ['2107'] | null |
64,381 | 1 | Sri Lanka | 1,762 | 19 | 37 | 0 | 0 | 51.35 | true | caught | ['1775'] | null |
64,357 | 1 | Pakistan | 1,978 | 5 | 2 | 1 | 0 | 250 | false | not out | ['-'] | null |
64,471 | 1 | Pakistan | 1,981 | 0 | 2 | 0 | 0 | 0 | true | caught | ['1998'] | null |
66,276 | 2 | Australia | 2,101 | null | null | null | null | null | false | DNB | null | null |
433,579 | 1 | England | 7,023 | 0 | 3 | 0 | 0 | 0 | true | caught | ['46533'] | null |
433,579 | 1 | England | 8,107 | 2 | 3 | 0 | 0 | 66.66 | true | caught | ['2232'] | null |
433,579 | 1 | England | 10,407 | 52 | 94 | 3 | 0 | 55.31 | true | caught | ['19422'] | null |
433,579 | 1 | England | 7,822 | 5 | 7 | 1 | 0 | 71.42 | true | caught | ['9492'] | null |
433,579 | 1 | England | 44,691 | 60 | 98 | 3 | 1 | 61.22 | true | lbw | null | null |
433,579 | 1 | England | 11,120 | 10 | 19 | 1 | 0 | 52.63 | true | caught | ['6354'] | null |
433,579 | 1 | England | 8,307 | 3 | 17 | 0 | 0 | 17.64 | true | caught | ['9492'] | null |
433,579 | 1 | England | 34,739 | 1 | 4 | 0 | 0 | 25 | true | lbw | null | null |
473,926 | 1 | New Zealand | 48,927 | 21 | 17 | 3 | 1 | 123.52 | true | caught | ['10439'] | null |
433,579 | 1 | England | 7,013 | 16 | 20 | 3 | 0 | 80 | true | caught | ['45222'] | null |
473,926 | 1 | New Zealand | 10,381 | 13 | 29 | 2 | 0 | 44.82 | true | caught | ['53546'] | null |
433,579 | 1 | England | 48,440 | 0 | 3 | 0 | 0 | 0 | true | lbw | null | null |
473,926 | 1 | New Zealand | 44,930 | 4 | 5 | 1 | 0 | 80 | true | caught | ['10439'] | null |
433,579 | 1 | England | 10,829 | 2 | 6 | 0 | 0 | 33.33 | false | not out | ['-'] | null |
473,926 | 1 | New Zealand | 9,570 | 11 | 28 | 2 | 0 | 39.28 | true | run out | ['44908', '19647'] | null |
433,579 | 2 | South Africa | 9,952 | 42 | 51 | 2 | 0 | 82.35 | true | bowled | null | null |
473,926 | 1 | New Zealand | 51,088 | 15 | 36 | 1 | 0 | 41.66 | true | caught | ['10439'] | null |
433,579 | 2 | South Africa | 10,406 | 22 | 41 | 2 | 0 | 53.65 | true | caught | ['11120'] | null |
473,926 | 1 | New Zealand | 9,639 | 62 | 75 | 7 | 0 | 82.66 | true | caught | ['24723'] | null |
433,579 | 2 | South Africa | 2,232 | 15 | 20 | 3 | 0 | 75 | true | caught | ['11120'] | null |
473,926 | 1 | New Zealand | 10,384 | 37 | 39 | 3 | 0 | 94.87 | true | caught | ['9257'] | null |
433,579 | 2 | South Africa | 46,533 | 25 | 44 | 0 | 0 | 56.81 | true | bowled | null | null |
473,926 | 1 | New Zealand | 10,386 | 53 | 58 | 5 | 1 | 91.37 | false | not out | ['-'] | null |
433,579 | 2 | South Africa | 46,933 | 17 | 38 | 2 | 0 | 44.73 | true | run out | ['7822', '11120'] | null |
473,926 | 1 | New Zealand | 4,380 | 13 | 15 | 1 | 0 | 86.66 | false | not out | ['-'] | null |
433,579 | 2 | South Africa | 45,222 | 0 | 4 | 0 | 0 | 0 | true | bowled | null | null |
473,926 | 1 | New Zealand | 49,108 | null | null | null | null | null | false | DNB | null | null |
433,605 | 1 | India | 7,781 | 38 | 25 | 9 | 0 | 152 | true | lbw | null | null |
433,579 | 2 | South Africa | 6,354 | 13 | 37 | 0 | 0 | 35.13 | true | bowled | null | null |
473,926 | 1 | New Zealand | 48,928 | null | null | null | null | null | false | DNB | null | null |
433,605 | 1 | India | 1,934 | 85 | 115 | 11 | 0 | 73.91 | true | caught | ['4169'] | null |
433,579 | 2 | South Africa | 9,492 | 3 | 16 | 0 | 0 | 18.75 | true | caught | ['11120'] | null |
473,926 | 2 | Pakistan | 19,647 | 12 | 23 | 2 | 0 | 52.17 | true | caught | ['44930'] | null |
433,605 | 1 | India | 7,773 | 27 | 32 | 2 | 0 | 84.37 | true | stumping | ['9257'] | null |
433,579 | 2 | South Africa | 47,154 | 20 | 31 | 3 | 0 | 64.51 | true | lbw | null | null |
433,605 | 1 | India | 49,752 | 9 | 21 | 0 | 0 | 42.85 | true | caught | ['53546'] | null |
433,579 | 2 | South Africa | 47,289 | 1 | 3 | 0 | 0 | 33.33 | true | caught | ['11120'] | null |
473,926 | 2 | Pakistan | 49,899 | 42 | 42 | 6 | 1 | 100 | true | caught | ['44930'] | null |
489,214 | 1 | West Indies | 45,256 | 51 | 48 | 4 | 2 | 106.25 | true | caught | ['53546'] | null |
433,579 | 2 | South Africa | 19,422 | 1 | 1 | 0 | 0 | 100 | false | not out | ['-'] | null |
433,605 | 1 | India | 7,716 | 0 | 1 | 0 | 0 | 0 | true | bowled | null | null |
518,203 | 1 | Afghanistan | 52,976 | 1 | 2 | 0 | 0 | 50 | true | caught | ['52871'] | null |
489,214 | 1 | West Indies | 10,494 | 16 | 21 | 1 | 1 | 76.19 | true | lbw | null | null |
473,926 | 2 | Pakistan | 9,257 | 20 | 30 | 2 | 0 | 66.66 | true | caught | ['44930'] | null |
433,605 | 1 | India | 7,593 | 25 | 42 | 2 | 0 | 59.52 | true | lbw | null | null |
518,203 | 1 | Afghanistan | 53,767 | 34 | 23 | 4 | 1 | 147.82 | true | lbw | null | null |
489,214 | 1 | West Indies | 51,054 | 12 | 18 | 2 | 0 | 66.66 | true | caught | ['19596'] | null |
473,926 | 2 | Pakistan | 10,439 | 42 | 63 | 1 | 0 | 66.66 | true | run out | ['10386', '10384'] | null |
433,605 | 1 | India | 15,716 | 36 | 39 | 3 | 0 | 92.3 | false | not out | ['-'] | null |
433,599 | 1 | India | 7,773 | 22 | 26 | 4 | 0 | 84.61 | true | caught | ['51012'] | null |
518,203 | 1 | Afghanistan | 60,436 | 8 | 10 | 1 | 0 | 80 | true | caught | ['60142'] | null |
489,214 | 1 | West Indies | 10,238 | 29 | 74 | 2 | 0 | 39.18 | true | bowled | null | null |
473,926 | 2 | Pakistan | 19,596 | 93 | 91 | 7 | 1 | 102.19 | false | not out | ['-'] | null |
433,566 | 1 | Bangladesh | 48,391 | 44 | 43 | 7 | 0 | 102.32 | true | caught | ['47403'] | null |
433,605 | 1 | India | 7,139 | 12 | 15 | 2 | 0 | 80 | true | stumping | ['9257'] | null |
433,584 | 1 | West Indies | 10,494 | 107 | 133 | 11 | 1 | 80.45 | true | bowled | null | null |
433,599 | 1 | India | 1,934 | 2 | 4 | 0 | 0 | 50 | true | caught | ['49521'] | null |
518,203 | 1 | Afghanistan | 53,602 | 14 | 6 | 3 | 0 | 233.33 | true | bowled | null | null |
489,214 | 1 | West Indies | 47,110 | 4 | 12 | 0 | 0 | 33.33 | true | bowled | null | null |
473,926 | 2 | Pakistan | 53,546 | 10 | 17 | 1 | 0 | 58.82 | true | caught | ['10386'] | null |
433,566 | 1 | Bangladesh | 51,239 | 12 | 12 | 2 | 0 | 100 | true | stumping | ['10351'] | null |
446,965 | 1 | England | 7,023 | 8 | 10 | 1 | 0 | 80 | true | caught | ['6426'] | null |
433,605 | 1 | India | 7,678 | 9 | 10 | 1 | 0 | 90 | true | caught | ['9257'] | null |
433,584 | 1 | West Indies | 2,120 | 35 | 62 | 3 | 0 | 56.45 | true | caught | ['47403'] | null |
433,599 | 1 | India | 49,752 | 59 | 76 | 5 | 0 | 77.63 | true | bowled | null | null |
518,203 | 1 | Afghanistan | 46,888 | 47 | 31 | 1 | 4 | 151.61 | true | caught | ['48506'] | null |
489,214 | 1 | West Indies | 45,257 | 18 | 24 | 1 | 0 | 75 | true | caught | ['19596'] | null |
473,926 | 2 | Pakistan | 4,169 | 4 | 2 | 1 | 0 | 200 | true | lbw | null | null |
433,566 | 1 | Bangladesh | 47,218 | 3 | 8 | 0 | 0 | 37.5 | true | run out | ['7233'] | null |
446,965 | 1 | England | 11,120 | 67 | 58 | 8 | 1 | 115.51 | true | caught | ['12912'] | null |
433,605 | 1 | India | 7,804 | 1 | 2 | 0 | 0 | 50 | true | run out | ['24723', '9257'] | null |
433,584 | 1 | West Indies | 51,054 | 0 | 3 | 0 | 0 | 0 | true | bowled | null | null |
433,599 | 1 | India | 7,716 | 113 | 123 | 10 | 2 | 91.86 | true | caught | ['49040'] | null |
518,203 | 1 | Afghanistan | 53,809 | 15 | 18 | 0 | 1 | 83.33 | true | caught | ['10334'] | null |
489,214 | 1 | West Indies | 17,838 | 15 | 22 | 1 | 0 | 68.18 | true | lbw | null | null |
473,926 | 2 | Pakistan | 4,178 | 23 | 18 | 1 | 1 | 127.77 | true | caught | ['4380'] | null |
433,566 | 1 | Bangladesh | 47,986 | 36 | 66 | 2 | 0 | 54.54 | true | caught | ['10342'] | null |
446,965 | 1 | England | 10,407 | 102 | 126 | 6 | 0 | 80.95 | true | bowled | null | null |
433,605 | 1 | India | 47,100 | 0 | 0 | 0 | 0 | 0 | false | not out | ['-'] | null |
433,584 | 1 | West Indies | 6,405 | 10 | 19 | 1 | 0 | 52.63 | true | caught | ['10345'] | null |
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