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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 4 new columns ({'smiles', 'PubChem ID', 'Drug Name', 'moa'}) and 3 missing columns ({'Drug ID', 'Gene ID', 'relation'}).
This happened while the csv dataset builder was generating data using
hf://datasets/RainGate/MAP-KG/DRUG_merged_drugs_with_residuals.csv (at revision 2a9af1bd2645fef86fab495b85a1b08a52356e26), [/tmp/hf-datasets-cache/medium/datasets/59788625974585-config-parquet-and-info-RainGate-MAP-KG-61b9a508/hub/datasets--RainGate--MAP-KG/snapshots/2a9af1bd2645fef86fab495b85a1b08a52356e26/DRUG-GENE_filtered_by_existing_drugs_and_genes.csv (origin=hf://datasets/RainGate/MAP-KG@2a9af1bd2645fef86fab495b85a1b08a52356e26/DRUG-GENE_filtered_by_existing_drugs_and_genes.csv), /tmp/hf-datasets-cache/medium/datasets/59788625974585-config-parquet-and-info-RainGate-MAP-KG-61b9a508/hub/datasets--RainGate--MAP-KG/snapshots/2a9af1bd2645fef86fab495b85a1b08a52356e26/DRUG_merged_drugs_with_residuals.csv (origin=hf://datasets/RainGate/MAP-KG@2a9af1bd2645fef86fab495b85a1b08a52356e26/DRUG_merged_drugs_with_residuals.csv), /tmp/hf-datasets-cache/medium/datasets/59788625974585-config-parquet-and-info-RainGate-MAP-KG-61b9a508/hub/datasets--RainGate--MAP-KG/snapshots/2a9af1bd2645fef86fab495b85a1b08a52356e26/GENE-GENE_filtered_by_existing_genes.csv (origin=hf://datasets/RainGate/MAP-KG@2a9af1bd2645fef86fab495b85a1b08a52356e26/GENE-GENE_filtered_by_existing_genes.csv), /tmp/hf-datasets-cache/medium/datasets/59788625974585-config-parquet-and-info-RainGate-MAP-KG-61b9a508/hub/datasets--RainGate--MAP-KG/snapshots/2a9af1bd2645fef86fab495b85a1b08a52356e26/GENE_tahoe_filtered.csv (origin=hf://datasets/RainGate/MAP-KG@2a9af1bd2645fef86fab495b85a1b08a52356e26/GENE_tahoe_filtered.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 675, 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
PubChem ID: int64
Drug Name: string
smiles: string
moa: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 716
to
{'Gene ID': Value('string'), 'Drug ID': Value('int64'), 'relation': Value('string')}
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 4 new columns ({'smiles', 'PubChem ID', 'Drug Name', 'moa'}) and 3 missing columns ({'Drug ID', 'Gene ID', 'relation'}).
This happened while the csv dataset builder was generating data using
hf://datasets/RainGate/MAP-KG/DRUG_merged_drugs_with_residuals.csv (at revision 2a9af1bd2645fef86fab495b85a1b08a52356e26), [/tmp/hf-datasets-cache/medium/datasets/59788625974585-config-parquet-and-info-RainGate-MAP-KG-61b9a508/hub/datasets--RainGate--MAP-KG/snapshots/2a9af1bd2645fef86fab495b85a1b08a52356e26/DRUG-GENE_filtered_by_existing_drugs_and_genes.csv (origin=hf://datasets/RainGate/MAP-KG@2a9af1bd2645fef86fab495b85a1b08a52356e26/DRUG-GENE_filtered_by_existing_drugs_and_genes.csv), /tmp/hf-datasets-cache/medium/datasets/59788625974585-config-parquet-and-info-RainGate-MAP-KG-61b9a508/hub/datasets--RainGate--MAP-KG/snapshots/2a9af1bd2645fef86fab495b85a1b08a52356e26/DRUG_merged_drugs_with_residuals.csv (origin=hf://datasets/RainGate/MAP-KG@2a9af1bd2645fef86fab495b85a1b08a52356e26/DRUG_merged_drugs_with_residuals.csv), /tmp/hf-datasets-cache/medium/datasets/59788625974585-config-parquet-and-info-RainGate-MAP-KG-61b9a508/hub/datasets--RainGate--MAP-KG/snapshots/2a9af1bd2645fef86fab495b85a1b08a52356e26/GENE-GENE_filtered_by_existing_genes.csv (origin=hf://datasets/RainGate/MAP-KG@2a9af1bd2645fef86fab495b85a1b08a52356e26/GENE-GENE_filtered_by_existing_genes.csv), /tmp/hf-datasets-cache/medium/datasets/59788625974585-config-parquet-and-info-RainGate-MAP-KG-61b9a508/hub/datasets--RainGate--MAP-KG/snapshots/2a9af1bd2645fef86fab495b85a1b08a52356e26/GENE_tahoe_filtered.csv (origin=hf://datasets/RainGate/MAP-KG@2a9af1bd2645fef86fab495b85a1b08a52356e26/GENE_tahoe_filtered.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.
Gene ID string | Drug ID int64 | relation string |
|---|---|---|
ENSG00000125384 | 44,230,999 | functions as an agonist on the protein target |
ENSG00000091831 | 23,642,301 | functions as a modulator on the protein target |
ENSG00000102393 | 121,488,171 | functions as a modulator on the protein target |
ENSG00000269858 | 91,617,630 | functions as an inhibitor on the protein target |
ENSG00000116044 | 71,811,910 | functions as an activator on the protein target |
ENSG00000082556 | 24,794,466 | functions as an agonist on the protein target |
ENSG00000197405 | 49,841,217 | functions as an antagonist on the protein target |
ENSG00000151623 | 60,150,535 | functions as an antagonist on the protein target |
ENSG00000140675 | 25,195,624 | functions as an inhibitor on the protein target |
ENSG00000133703 | 137,278,711 | functions as an inhibitor on the protein target |
ENSG00000110195 | 91,810,695 | functions as an antagonist on the protein target |
ENSG00000105397 | 134,821,691 | functions as an inhibitor on the protein target |
ENSG00000134318 | 11,950,170 | functions as an inhibitor on the protein target |
ENSG00000125255 | 10,153,627 | functions as an inhibitor on the protein target |
ENSG00000171608 | 57,495,353 | functions as an inhibitor on the protein target |
ENSG00000146648 | 118,607,832 | functions as an inhibitor on the protein target |
ENSG00000133703 | 138,611,145 | functions as an inhibitor on the protein target |
ENSG00000010671 | 129,269,915 | functions as an inhibitor on the protein target |
ENSG00000125255 | 9,831,643 | functions as an inhibitor on the protein target |
ENSG00000140675 | 24,831,714 | functions as a modulator on the protein target |
ENSG00000144891 | 10,257,882 | functions as an antagonist on the protein target |
ENSG00000151617 | 10,257,882 | functions as an antagonist on the protein target |
ENSG00000122025 | 46,216,796 | functions as a modulator on the protein target |
ENSG00000105639 | 46,216,796 | functions as a modulator on the protein target |
ENSG00000116016 | 117,947,097 | functions as an inhibitor on the protein target |
ENSG00000064989 | 53,472,683 | functions as an inhibitor on the protein target |
ENSG00000064989 | 72,163,100 | functions as an antagonist on the protein target |
ENSG00000277893 | 132,663 | functions as an inhibitor on the protein target |
ENSG00000145545 | 132,663 | functions as an inhibitor on the protein target |
ENSG00000086205 | 10,130,754 | functions as an inhibitor on the protein target |
ENSG00000170425 | 3,086,599 | functions as an agonist on the protein target |
ENSG00000261893 | 1,893,668 | functions as an inhibitor on the protein target |
ENSG00000176444 | 1,893,668 | functions as an inhibitor on the protein target |
ENSG00000013441 | 1,893,668 | functions as an inhibitor on the protein target |
ENSG00000067900 | 3,547 | functions as an inhibitor on the protein target |
ENSG00000147246 | 1,615 | functions as an agonist on the protein target |
ENSG00000165646 | 1,615 | functions as an antagonist on the protein target |
ENSG00000102468 | 1,615 | functions as an agonist on the protein target |
ENSG00000135914 | 1,615 | functions as an agonist on the protein target |
ENSG00000143799 | 148,140 | functions as an inhibitor on the protein target |
ENSG00000078295 | 47,936 | functions as an inhibitor on the protein target |
ENSG00000151834 | 71,231 | functions as an inhibitor on the protein target |
ENSG00000113327 | 71,231 | functions as an inhibitor on the protein target |
ENSG00000011677 | 71,231 | functions as an inhibitor on the protein target |
ENSG00000186297 | 71,231 | functions as an inhibitor on the protein target |
ENSG00000022355 | 71,231 | functions as an inhibitor on the protein target |
ENSG00000145864 | 71,231 | functions as an inhibitor on the protein target |
ENSG00000258429 | 135,436,405 | functions as an inhibitor on the protein target |
ENSG00000189221 | 5,280,953 | functions as an inhibitor on the protein target |
ENSG00000184588 | 5,092 | functions as an inhibitor on the protein target |
ENSG00000113448 | 5,092 | functions as an inhibitor on the protein target |
ENSG00000138735 | 5,092 | functions as an inhibitor on the protein target |
ENSG00000065989 | 5,092 | functions as an inhibitor on the protein target |
ENSG00000258429 | 1,688 | functions as an inhibitor on the protein target |
ENSG00000101444 | 72,968 | functions as an inhibitor on the protein target |
ENSG00000291971 | 1,401 | functions as an inhibitor on the protein target |
ENSG00000197122 | 1,401 | functions as an inhibitor on the protein target |
ENSG00000095015 | 6,918,454 | functions as an inhibitor on the protein target |
ENSG00000169967 | 6,918,454 | functions as an inhibitor on the protein target |
ENSG00000055118 | 155,805 | functions as a blocker on the protein target |
ENSG00000100300 | 1,345 | functions as a binder on the protein target |
ENSG00000117594 | 10,251 | functions as an inhibitor on the protein target |
ENSG00000100300 | 1,688 | functions as a binder on the protein target |
ENSG00000156110 | 132,663 | functions as an inhibitor on the protein target |
ENSG00000066468 | 1,345 | functions as a binder on the protein target |
ENSG00000104365 | 44,259 | functions as an inhibitor on the protein target |
ENSG00000104267 | 65,823 | functions as an inhibitor on the protein target |
ENSG00000167434 | 65,823 | functions as an inhibitor on the protein target |
ENSG00000133742 | 65,823 | functions as an inhibitor on the protein target |
ENSG00000188778 | 65,823 | functions as an agonist on the protein target |
ENSG00000178394 | 115,111 | functions as an antagonist on the protein target |
ENSG00000128271 | 3,086,599 | functions as an agonist on the protein target |
ENSG00000006638 | 6,437,074 | functions as an inhibitor on the protein target |
ENSG00000170312 | 3,820 | functions as an inhibitor on the protein target |
ENSG00000082701 | 3,820 | functions as an inhibitor on the protein target |
ENSG00000134057 | 3,820 | functions as an inhibitor on the protein target |
ENSG00000164885 | 3,820 | functions as an inhibitor on the protein target |
ENSG00000166148 | 60,943 | functions as an inhibitor on the protein target |
ENSG00000183044 | 126 | functions as an inhibitor on the protein target |
ENSG00000183044 | 1,183 | functions as an inhibitor on the protein target |
ENSG00000112294 | 1,183 | functions as an inhibitor on the protein target |
ENSG00000074410 | 445,858 | functions as an inhibitor on the protein target |
ENSG00000104267 | 445,858 | functions as an inhibitor on the protein target |
ENSG00000118298 | 445,858 | functions as an inhibitor on the protein target |
ENSG00000107159 | 445,858 | functions as an inhibitor on the protein target |
ENSG00000131686 | 445,858 | functions as an inhibitor on the protein target |
ENSG00000133742 | 445,858 | functions as an inhibitor on the protein target |
ENSG00000167434 | 445,858 | functions as an inhibitor on the protein target |
ENSG00000108576 | 1,615 | functions as an inhibitor on the protein target |
ENSG00000276996 | 1,615 | functions as an inhibitor on the protein target |
ENSG00000142319 | 1,615 | functions as an inhibitor on the protein target |
ENSG00000103546 | 1,615 | functions as an inhibitor on the protein target |
ENSG00000069535 | 10,251 | functions as an inhibitor on the protein target |
ENSG00000169083 | 3,314 | functions as an inhibitor on the protein target |
ENSG00000096717 | 3,246,390 | functions as an inhibitor on the protein target |
ENSG00000118515 | 6,918,454 | functions as an inhibitor on the protein target |
ENSG00000100030 | 6,918,454 | functions as an inhibitor on the protein target |
ENSG00000108443 | 6,918,454 | functions as an inhibitor on the protein target |
ENSG00000067900 | 6,918,454 | functions as an inhibitor on the protein target |
ENSG00000107643 | 6,918,454 | functions as an inhibitor on the protein target |
End of preview.
This is the official data repository for "MAP: A Knowledge-driven Framework for Predicting Single-cell Responses for Unprofiled Drugs".
We will release MAP-KG data soon.
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