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 8 new columns ({'cnag_id_1', 'gene_id_2', 'gene_id_1', 'p_value', 'cnag_id_2', 'coevo_gene_id_2', 'coevo_gene_id_1', 'coevolution_coefficient'}) and 3 missing columns ({'query_target', 'rank_score', 'ref_target'}). This happened while the csv dataset builder was generating data using hf://datasets/maomlab/CryptoCEN/CoEvo_network.tsv (at revision 216b539c2f8ad59c3202031d9413ee3eac54efb8) 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 coevo_gene_id_1: string coevo_gene_id_2: string coevolution_coefficient: double p_value: double gene_id_1: string gene_id_2: string cnag_id_1: string cnag_id_2: string -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1257 to {'ref_target': Value(dtype='string', id=None), 'query_target': Value(dtype='string', id=None), 'rank_score': 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 1316, in compute_config_parquet_and_info_response parquet_operations, partial = stream_convert_to_parquet( File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet builder._prepare_split( 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 8 new columns ({'cnag_id_1', 'gene_id_2', 'gene_id_1', 'p_value', 'cnag_id_2', 'coevo_gene_id_2', 'coevo_gene_id_1', 'coevolution_coefficient'}) and 3 missing columns ({'query_target', 'rank_score', 'ref_target'}). This happened while the csv dataset builder was generating data using hf://datasets/maomlab/CryptoCEN/CoEvo_network.tsv (at revision 216b539c2f8ad59c3202031d9413ee3eac54efb8) 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.
ref_target
string | query_target
string | rank_score
float64 |
---|---|---|
CNAG_00001-t26_1 | CNAG_00001-t26_1 | 0.921313 |
CNAG_00001-t26_1 | CNAG_07497-t26_1 | 0.919076 |
CNAG_00001-t26_1 | CNAG_07790-t26_1 | 0.912885 |
CNAG_00001-t26_1 | CNAG_06523-t26_1 | 0.912885 |
CNAG_00001-t26_1 | CNAG_06938-t26_1 | 0.909417 |
CNAG_00001-t26_1 | CNAG_07276-t26_1 | 0.900338 |
CNAG_00001-t26_1 | CNAG_07586-t26_1 | 0.89779 |
CNAG_00001-t26_1 | CNAG_07395-t26_1 | 0.897249 |
CNAG_00001-t26_1 | CNAG_07584-t26_1 | 0.889555 |
CNAG_00001-t26_1 | CNAG_07791-t26_1 | 0.885788 |
CNAG_00001-t26_1 | CNAG_06522-t26_1 | 0.885788 |
CNAG_00001-t26_1 | CNAG_07919-t26_1 | 0.885788 |
CNAG_00001-t26_1 | CNAG_07621-t26_1 | 0.728656 |
CNAG_00001-t26_1 | CNAG_05376-t26_1 | 0.027042 |
CNAG_00001-t26_1 | CNAG_07739-t26_1 | 0.027042 |
CNAG_00001-t26_1 | CNAG_04697-t26_1 | 0.027042 |
CNAG_00001-t26_1 | CNAG_00730-t26_1 | 0.014598 |
CNAG_00001-t26_1 | CNAG_06913-t26_1 | 0.010203 |
CNAG_00001-t26_1 | CNAG_03017-t26_1 | 0.010203 |
CNAG_00272-t26_1 | CNAG_00272-t26_1 | 0.999155 |
CNAG_00272-t26_1 | CNAG_02440-t26_1 | 0.62403 |
CNAG_00272-t26_1 | CNAG_01037-t26_1 | 0.527353 |
CNAG_00272-t26_1 | CNAG_06150-t26_1 | 0.494536 |
CNAG_00272-t26_1 | CNAG_04318-t26_1 | 0.437091 |
CNAG_00272-t26_1 | CNAG_04450-t26_1 | 0.396718 |
CNAG_00272-t26_1 | CNAG_03381-t26_1 | 0.310276 |
CNAG_00528-t26_1 | CNAG_00528-t26_1 | 0.986629 |
CNAG_00528-t26_1 | CNAG_03908-t26_1 | 0.761782 |
CNAG_00528-t26_1 | CNAG_03908-t26_1 | 0.717308 |
CNAG_00528-t26_1 | CNAG_01733-t26_1 | 0.741948 |
CNAG_00528-t26_1 | CNAG_01733-t26_1 | 0.494536 |
CNAG_00528-t26_1 | CNAG_02153-t26_1 | 0.736591 |
CNAG_00528-t26_1 | CNAG_02153-t26_1 | 0.726456 |
CNAG_00528-t26_1 | CNAG_02153-t26_1 | 0.702685 |
CNAG_00528-t26_1 | CNAG_02153-t26_1 | 0.652196 |
CNAG_00528-t26_1 | CNAG_01262-t26_1 | 0.730824 |
CNAG_00528-t26_1 | CNAG_01262-t26_1 | 0.453606 |
CNAG_00528-t26_1 | CNAG_00775-t26_1 | 0.730824 |
CNAG_00528-t26_1 | CNAG_01867-t26_1 | 0.726456 |
CNAG_00528-t26_1 | CNAG_01867-t26_1 | 0.506525 |
CNAG_00528-t26_1 | CNAG_01867-t26_1 | 0.15283 |
CNAG_00528-t26_1 | CNAG_01630-t26_1 | 0.724223 |
CNAG_00528-t26_1 | CNAG_01630-t26_1 | 0.678883 |
CNAG_00528-t26_1 | CNAG_03584-t26_1 | 0.719638 |
CNAG_00528-t26_1 | CNAG_00073-t26_1 | 0.712623 |
CNAG_00528-t26_1 | CNAG_00073-t26_1 | 0.601817 |
CNAG_00528-t26_1 | CNAG_05795-t26_1 | 0.707687 |
CNAG_00528-t26_1 | CNAG_05795-t26_1 | 0.64334 |
CNAG_00528-t26_1 | CNAG_03297-t26_1 | 0.707687 |
CNAG_00528-t26_1 | CNAG_03297-t26_1 | 0.589731 |
CNAG_00528-t26_1 | CNAG_03124-t26_1 | 0.707687 |
CNAG_00528-t26_1 | CNAG_03124-t26_1 | 0.647787 |
CNAG_00528-t26_1 | CNAG_03124-t26_1 | 0.494536 |
CNAG_00528-t26_1 | CNAG_03124-t26_1 | 0.310276 |
CNAG_00528-t26_1 | CNAG_01600-t26_1 | 0.694264 |
CNAG_00528-t26_1 | CNAG_05428-t26_2 | 0.697239 |
CNAG_00528-t26_1 | CNAG_05428-t26_2 | 0.583402 |
CNAG_00528-t26_1 | CNAG_05428-t26_1 | 0.697239 |
CNAG_00528-t26_1 | CNAG_05428-t26_1 | 0.583402 |
CNAG_00528-t26_1 | CNAG_02982-t26_1 | 0.694264 |
CNAG_00528-t26_1 | CNAG_02982-t26_1 | 0.638463 |
CNAG_00528-t26_1 | CNAG_02982-t26_1 | 0.453606 |
CNAG_00528-t26_1 | CNAG_02982-t26_1 | 0.192272 |
CNAG_00528-t26_1 | CNAG_01439-t26_1 | 0.684891 |
CNAG_00528-t26_1 | CNAG_01439-t26_1 | 0.613264 |
CNAG_00528-t26_1 | CNAG_04074-t26_1 | 0.681975 |
CNAG_00528-t26_1 | CNAG_04074-t26_1 | 0.396718 |
CNAG_00528-t26_1 | CNAG_06107-t26_1 | 0.678883 |
CNAG_00528-t26_1 | CNAG_06107-t26_1 | 0.607725 |
CNAG_00528-t26_1 | CNAG_06107-t26_1 | 0.601817 |
CNAG_00528-t26_1 | CNAG_01432-t26_2 | 0.67534 |
CNAG_00528-t26_1 | CNAG_01432-t26_2 | 0.562468 |
CNAG_00528-t26_1 | CNAG_01432-t26_2 | 0.55465 |
CNAG_00528-t26_1 | CNAG_01432-t26_2 | 0.453606 |
CNAG_00528-t26_1 | CNAG_05465-t26_1 | 0.671665 |
CNAG_00528-t26_1 | CNAG_05465-t26_1 | 0.517311 |
CNAG_00528-t26_1 | CNAG_05465-t26_1 | 0.273092 |
CNAG_00528-t26_1 | CNAG_05219-t26_1 | 0.671665 |
CNAG_00528-t26_1 | CNAG_01432-t26_1 | 0.67534 |
CNAG_00528-t26_1 | CNAG_01432-t26_1 | 0.569662 |
CNAG_00528-t26_1 | CNAG_01432-t26_1 | 0.55465 |
CNAG_00528-t26_1 | CNAG_01432-t26_1 | 0.546101 |
CNAG_00528-t26_1 | CNAG_00516-t26_1 | 0.667952 |
CNAG_00528-t26_1 | CNAG_07440-t26_1 | 0.660355 |
CNAG_00528-t26_1 | CNAG_07440-t26_1 | 0.536894 |
CNAG_00528-t26_1 | CNAG_07440-t26_1 | 0.15283 |
CNAG_00528-t26_1 | CNAG_07756-t26_1 | 0.660355 |
CNAG_00528-t26_1 | CNAG_01561-t26_1 | 0.656422 |
CNAG_00528-t26_1 | CNAG_01561-t26_1 | 0.652196 |
CNAG_00528-t26_1 | CNAG_01561-t26_1 | 0.15283 |
CNAG_00528-t26_1 | CNAG_05294-t26_1 | 0.656422 |
CNAG_00528-t26_1 | CNAG_05294-t26_1 | 0.618811 |
CNAG_00528-t26_1 | CNAG_00693-t26_2 | 0.652196 |
CNAG_00528-t26_1 | CNAG_00693-t26_2 | 0.546101 |
CNAG_00528-t26_1 | CNAG_00693-t26_1 | 0.652196 |
CNAG_00528-t26_1 | CNAG_00693-t26_1 | 0.546101 |
CNAG_00528-t26_1 | CNAG_03554-t26_1 | 0.633385 |
CNAG_00528-t26_1 | CNAG_03554-t26_1 | 0.437091 |
CNAG_00528-t26_1 | CNAG_05101-t26_1 | 0.633385 |
CNAG_00528-t26_1 | CNAG_05101-t26_1 | 0.506525 |
End of preview.