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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 7 new columns ({'Duration', 'Body_Temp', 'Height', 'Age', 'Gender', 'Heart_Rate', 'Weight'}) and 1 missing columns ({'Calories'}). This happened while the csv dataset builder was generating data using hf://datasets/Datasetssickness/Calories/exercise.csv (at revision 842b9e28f444669bbcf729d66352ec2fb13e0c8e) 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 User_ID: int64 Gender: string Age: int64 Height: double Weight: double Duration: double Heart_Rate: double Body_Temp: double -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1172 to {'User_ID': Value(dtype='int64', id=None), 'Calories': 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 7 new columns ({'Duration', 'Body_Temp', 'Height', 'Age', 'Gender', 'Heart_Rate', 'Weight'}) and 1 missing columns ({'Calories'}). This happened while the csv dataset builder was generating data using hf://datasets/Datasetssickness/Calories/exercise.csv (at revision 842b9e28f444669bbcf729d66352ec2fb13e0c8e) 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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User_ID
int64 | Calories
float64 |
---|---|
14,733,363 | 231 |
14,861,698 | 66 |
11,179,863 | 26 |
16,180,408 | 71 |
17,771,927 | 35 |
15,130,815 | 123 |
19,602,372 | 112 |
11,117,088 | 143 |
12,132,339 | 134 |
17,964,668 | 72 |
13,723,164 | 3 |
13,681,290 | 92 |
15,566,424 | 58 |
12,891,699 | 88 |
13,823,829 | 7 |
17,557,348 | 170 |
12,198,133 | 11 |
15,236,104 | 43 |
11,042,324 | 15 |
16,864,285 | 74 |
11,674,347 | 29 |
19,797,300 | 32 |
14,711,095 | 10 |
14,434,854 | 155 |
14,893,804 | 3 |
17,231,597 | 24 |
10,901,446 | 12 |
15,874,362 | 10 |
15,569,252 | 195 |
15,615,743 | 5 |
13,363,046 | 69 |
17,572,853 | 136 |
17,157,339 | 80 |
18,328,111 | 107 |
19,303,479 | 200 |
10,699,201 | 56 |
15,283,313 | 50 |
16,324,247 | 100 |
14,277,710 | 200 |
10,888,188 | 4 |
13,379,795 | 70 |
17,181,524 | 127 |
15,988,442 | 197 |
19,538,533 | 113 |
14,591,877 | 11 |
14,274,480 | 82 |
16,818,429 | 26 |
17,476,522 | 141 |
16,369,885 | 92 |
17,816,292 | 5 |
15,995,398 | 30 |
17,615,432 | 3 |
10,146,087 | 37 |
17,967,445 | 147 |
19,670,291 | 8 |
10,580,576 | 159 |
15,854,213 | 93 |
11,138,472 | 173 |
18,276,801 | 89 |
13,823,902 | 31 |
19,222,133 | 35 |
13,231,909 | 94 |
12,726,617 | 49 |
12,538,968 | 54 |
10,941,668 | 117 |
12,628,985 | 173 |
17,691,320 | 99 |
17,822,027 | 45 |
13,777,657 | 166 |
19,423,359 | 202 |
14,701,930 | 107 |
11,513,205 | 199 |
11,842,710 | 25 |
12,576,313 | 23 |
12,367,125 | 200 |
16,913,504 | 6 |
19,439,155 | 7 |
16,137,644 | 113 |
11,622,081 | 188 |
17,374,074 | 103 |
19,096,890 | 128 |
19,628,507 | 130 |
16,918,679 | 27 |
11,194,130 | 185 |
18,863,486 | 57 |
11,754,581 | 65 |
15,161,631 | 91 |
18,735,761 | 120 |
15,878,611 | 70 |
19,249,559 | 39 |
15,469,030 | 136 |
11,157,560 | 77 |
19,576,971 | 42 |
15,048,071 | 41 |
18,707,469 | 59 |
12,598,637 | 179 |
14,342,169 | 6 |
19,208,771 | 13 |
11,790,318 | 147 |
11,756,583 | 180 |
End of preview.