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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 3 new columns ({'barcode', 'species', 'age_group'}) and 1 missing columns ({'ATAC_Xkr4'}).

This happened while the csv dataset builder was generating data using

hf://datasets/simiaoAA/cross-species-aging-data/train_meta_multimodal.csv (at revision 4bd757d9df3de25d61af50ad32745c1504788ad5), ['hf://datasets/simiaoAA/cross-species-aging-data@4bd757d9df3de25d61af50ad32745c1504788ad5/train_feature_names_multimodal.csv', 'hf://datasets/simiaoAA/cross-species-aging-data@4bd757d9df3de25d61af50ad32745c1504788ad5/train_meta_multimodal.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 1837, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              barcode: string
              species: string
              age_group: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 608
              to
              {'ATAC_Xkr4': 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 1343, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, 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 1839, 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 3 new columns ({'barcode', 'species', 'age_group'}) and 1 missing columns ({'ATAC_Xkr4'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/simiaoAA/cross-species-aging-data/train_meta_multimodal.csv (at revision 4bd757d9df3de25d61af50ad32745c1504788ad5), ['hf://datasets/simiaoAA/cross-species-aging-data@4bd757d9df3de25d61af50ad32745c1504788ad5/train_feature_names_multimodal.csv', 'hf://datasets/simiaoAA/cross-species-aging-data@4bd757d9df3de25d61af50ad32745c1504788ad5/train_meta_multimodal.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)

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ATAC_Xkr4
string
ATAC_Rp1
ATAC_Sox17
ATAC_Mrpl15
ATAC_Lypla1
ATAC_Tcea1
ATAC_Rgs20
ATAC_Atp6v1h
ATAC_Oprk1
ATAC_Npbwr1
ATAC_Rb1cc1
ATAC_Alkal1
ATAC_St18
ATAC_Pcmtd1
ATAC_Sntg1
ATAC_Rrs1
ATAC_Adhfe1
ATAC_2610203C22Rik
ATAC_Vxn
ATAC_Mybl1
ATAC_Vcpip1
ATAC_1700034P13Rik
ATAC_Sgk3
ATAC_Mcmdc2
ATAC_Snhg6
ATAC_Snord87
ATAC_Tcf24
ATAC_Ppp1r42
ATAC_Cops5
ATAC_Cspp1
ATAC_Arfgef1
ATAC_Cpa6
ATAC_Prex2
ATAC_A830018L16Rik
ATAC_Mir6341
ATAC_Gm17644
ATAC_Sulf1
ATAC_Slco5a1
ATAC_Prdm14
ATAC_Ncoa2
ATAC_Tram1
ATAC_Lactb2
ATAC_Xkr9
ATAC_Gm5523
ATAC_Eya1
ATAC_Msc
ATAC_Trpa1
ATAC_Kcnb2
ATAC_Terf1
ATAC_Sbspon
ATAC_4930444P10Rik
ATAC_Rdh10
ATAC_Rpl7
ATAC_Stau2
ATAC_Ube2w
ATAC_Eloc
ATAC_D030040B21Rik
ATAC_Tmem70
ATAC_Ly96
ATAC_Jph1
ATAC_Gdap1
ATAC_Pi15
ATAC_Gm16070
ATAC_Crispld1
ATAC_Crisp4
ATAC_Defb44-ps
ATAC_Defb18
ATAC_Defb41
ATAC_Tfap2d
ATAC_Tfap2b
ATAC_Pkhd1
ATAC_4930486I03Rik
ATAC_Lincmd1
ATAC_Mir133b
ATAC_Il17a
ATAC_Il17f
ATAC_Mcm3
ATAC_Paqr8
ATAC_6720483E21Rik
ATAC_Efhc1
ATAC_Tram2
ATAC_Tmem14a
ATAC_Gsta3
ATAC_Gm4956
ATAC_Khdc1a
ATAC_Khdc1c
ATAC_Khdc1b
ATAC_Kcnq5
ATAC_Rims1
ATAC_4933415F23Rik
ATAC_Mir30a
ATAC_Mir30c-2
ATAC_Ogfrl1
ATAC_B3gat2
ATAC_Smap1
ATAC_Sdhaf4
ATAC_Fam135a
ATAC_Col9a1
ATAC_Col19a1
ATAC_Lmbrd1
ATAC_Adgrb3
End of preview.

Cross-Species Aging Data

This dataset repository stores the large matrices, metadata, and feature lists required by the GitHub reproducibility package:

https://github.com/SimiaoZhao/cross-species-aging-resource

See data_manifest.tsv for the expected filenames and their analysis role. During peer review, access may be restricted to reviewers and editors.

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