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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 1 new columns ({'tag'}) and 2 missing columns ({'movieId', 'relevance'}).
This happened while the csv dataset builder was generating data using
hf://datasets/lime1327/movie_data/archive/genome_tags.csv (at revision 78e8cc2e02d60954dd59a10944384987f9adf296)
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 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, 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 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
tagId: int64
tag: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 475
to
{'movieId': Value(dtype='int64', id=None), 'tagId': Value(dtype='int64', id=None), 'relevance': 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 1436, 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 1053, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 1 new columns ({'tag'}) and 2 missing columns ({'movieId', 'relevance'}).
This happened while the csv dataset builder was generating data using
hf://datasets/lime1327/movie_data/archive/genome_tags.csv (at revision 78e8cc2e02d60954dd59a10944384987f9adf296)
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.
movieId int64 | tagId int64 | relevance float64 |
|---|---|---|
1 | 1 | 0.025 |
1 | 2 | 0.025 |
1 | 3 | 0.05775 |
1 | 4 | 0.09675 |
1 | 5 | 0.14675 |
1 | 6 | 0.217 |
1 | 7 | 0.067 |
1 | 8 | 0.26275 |
1 | 9 | 0.262 |
1 | 10 | 0.032 |
1 | 11 | 0.577 |
1 | 12 | 0.11625 |
1 | 13 | 0.188 |
1 | 14 | 0.008 |
1 | 15 | 0.03675 |
1 | 16 | 0.28175 |
1 | 17 | 0.007 |
1 | 18 | 0.1105 |
1 | 19 | 0.6705 |
1 | 20 | 0.1845 |
1 | 21 | 0.33025 |
1 | 22 | 0.2825 |
1 | 23 | 0.057 |
1 | 24 | 0.0155 |
1 | 25 | 0.085 |
1 | 26 | 0.081 |
1 | 27 | 0.195 |
1 | 28 | 0.0715 |
1 | 29 | 0.892 |
1 | 30 | 0.67625 |
1 | 31 | 0.03875 |
1 | 32 | 0.228 |
1 | 33 | 0.402 |
1 | 34 | 0.03875 |
1 | 35 | 0.02675 |
1 | 36 | 0.33025 |
1 | 37 | 0.101 |
1 | 38 | 0.0125 |
1 | 39 | 0.0185 |
1 | 40 | 0.01425 |
1 | 41 | 0.01375 |
1 | 42 | 0.02475 |
1 | 43 | 0.14725 |
1 | 44 | 0.0415 |
1 | 45 | 0.26725 |
1 | 46 | 0.25575 |
1 | 47 | 0.008 |
1 | 48 | 0.141 |
1 | 49 | 0.32 |
1 | 50 | 0.06825 |
1 | 51 | 0.26525 |
1 | 52 | 0.15825 |
1 | 53 | 0.235 |
1 | 54 | 0.07575 |
1 | 55 | 0.17875 |
1 | 56 | 0.0245 |
1 | 57 | 0.02275 |
1 | 58 | 0.018 |
1 | 59 | 0.13725 |
1 | 60 | 0.03125 |
1 | 61 | 0.54475 |
1 | 62 | 0.68775 |
1 | 63 | 0.93325 |
1 | 64 | 0.98575 |
1 | 65 | 0.101 |
1 | 66 | 0.0375 |
1 | 67 | 0.12075 |
1 | 68 | 0.03775 |
1 | 69 | 0.02 |
1 | 70 | 0.1435 |
1 | 71 | 0.011 |
1 | 72 | 0.02175 |
1 | 73 | 0.07325 |
1 | 74 | 0.012 |
1 | 75 | 0.2275 |
1 | 76 | 0.01525 |
1 | 77 | 0.097 |
1 | 78 | 0.0445 |
1 | 79 | 0.3575 |
1 | 80 | 0.02375 |
1 | 81 | 0.0545 |
1 | 82 | 0.111 |
1 | 83 | 0.03225 |
1 | 84 | 0.27975 |
1 | 85 | 0.09225 |
1 | 86 | 0.30275 |
1 | 87 | 0.04125 |
1 | 88 | 0.00625 |
1 | 89 | 0.00875 |
1 | 90 | 0.1435 |
1 | 91 | 0.0595 |
1 | 92 | 0.02875 |
1 | 93 | 0.32775 |
1 | 94 | 0.33225 |
1 | 95 | 0.044 |
1 | 96 | 0.0435 |
1 | 97 | 0.0625 |
1 | 98 | 0.05675 |
1 | 99 | 0.12725 |
1 | 100 | 0.10775 |
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