The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 ({'relevance', 'movieId'}).

This happened while the csv dataset builder was generating data using

hf://datasets/cephcyn/2026_01_22_datasets/movielens_25m/ml-25m/genome-tags.csv (at revision 6cc5d468f06f36436b6be810ba89ac48b8b633b6), [/tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/genome-scores.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/genome-scores.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/genome-tags.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/genome-tags.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/links.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/links.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/movies.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/movies.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/ratings.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/ratings.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/tags.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/tags.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/navigatingsensitivity/ao3_interaction_table.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/navigatingsensitivity/ao3_interaction_table.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/navigatingsensitivity/ao3_sensitivity_table.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/navigatingsensitivity/ao3_sensitivity_table.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/navigatingsensitivity_rename/ddd_rename.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/navigatingsensitivity_rename/ddd_rename.csv)]

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/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 674, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, 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('int64'), 'tagId': Value('int64'), 'relevance': Value('float64')}
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1889, 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 ({'relevance', 'movieId'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/cephcyn/2026_01_22_datasets/movielens_25m/ml-25m/genome-tags.csv (at revision 6cc5d468f06f36436b6be810ba89ac48b8b633b6), [/tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/genome-scores.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/genome-scores.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/genome-tags.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/genome-tags.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/links.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/links.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/movies.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/movies.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/ratings.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/ratings.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/tags.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/movielens_25m/ml-25m/tags.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/navigatingsensitivity/ao3_interaction_table.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/navigatingsensitivity/ao3_interaction_table.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/navigatingsensitivity/ao3_sensitivity_table.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/navigatingsensitivity/ao3_sensitivity_table.csv), /tmp/hf-datasets-cache/medium/datasets/52557314731323-config-parquet-and-info-cephcyn-2026_01_22_datase-9635bb78/hub/datasets--cephcyn--2026_01_22_datasets/snapshots/6cc5d468f06f36436b6be810ba89ac48b8b633b6/navigatingsensitivity_rename/ddd_rename.csv (origin=hf://datasets/cephcyn/2026_01_22_datasets@6cc5d468f06f36436b6be810ba89ac48b8b633b6/navigatingsensitivity_rename/ddd_rename.csv)]
              
              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
0.02875
1
2
0.02375
1
3
0.0625
1
4
0.07575
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5
0.14075
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6
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0.0635
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0.20375
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11
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13
0.20175
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0.17275
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0.6625
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23
0.06275
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25
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26
0.07925
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0.1965
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48
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0.26775
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1
55
0.2205
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56
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57
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58
0.02925
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0.08425
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0.03375
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0.6175
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0.63
1
63
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66
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68
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69
0.01825
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70
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71
0.01675
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72
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1
73
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76
0.01675
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0.038
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79
0.32925
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80
0.02875
1
81
0.062
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82
0.087
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83
0.036
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84
0.30475
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86
0.33625
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89
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100
0.1055
End of preview.