Datasets:

---

TongjiZhanglab

/

chrombert

like 2

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 1074 new columns ({'hdac2', 'lmna', 'brf1', 'h3k79me2', 'ehf', 'daxx', 'ncor1', 'znf146', 'gtf2a2', 'brca1', 'atf1', 'nr2f6', 'h2ak5ac', 'sumo2/3', 'tcf21', 'cdk9', 'znf341', 'h4k91ac', 'pias1', 'e2f1', 'znf217', 'ascl1', 'znf222', 'fli1', 'h3ac', 'znf639', 'pml', 'pax3-foxo1a', 'znf384', 'zbtb11', 'glis1', 'sfpq', 'znf671', 'nfatc3', 'bcl11a', 'znf350', 'znf766', 'smad5', 'h3k9me1', 'h3k27me1', 'znf337', 'znf157', 'phox2b', 'znf267', 'znf479', 'zfp42', 'znf707', 'taf3', 'dnase', 'hoxa1', 'dnmt3b', 'irf3', 'ctbp1', 'scml2', 'myf5', 'znf75a', 'smarcc1', 'znf124', 'znf140', 'barx1', 'ncapg2', 'sap30', 'znf197', 'nr1h3', 'tet1', 'h3k9/14ac', 'h1.4', 'tal1', 'foxp2', 'atoh1', 'kat5', 'h3k23me2', 'h2a', 'ebf3', 'mif', 'supt5h', 'kdm1a', 'foxj2', 'znf581', 'bptf', 'irf9', 'zxdc', 'znf596', 'sp140', 'sox15', 'rfx2', 'eomes', 'ddx20', 'ercc3', 'cbx2', 'srsf3', 'hbp1', 'rarg', 'klf16', 'ccnd2', 'h3k27me3', 'aff1', 'greb1', 'hoxb6', 'ing2', 'pax5', 'ebna2', 'mef2a', 'znf433', 'znf467', 'tshz1', 'brd1-s', 'lhx2', 'zbtb17', 'ino80', 'brd4-nut', 'zbtb24', 'zfp57', 'znf391', 'macroh2a1', 'nr3c2', 'zbed1', 'e2f8', 'creb3l2', 'arntl2', 'sirt6', 'neurog2', 'lyl1', 'wnt3a', 'cfp1', 'klf1', 'h3k9k14ac', 'zfp64', 'nfia', 'hnrnpll', 'znf281', 'znf436', 'rpa2', 'irf4', 'rxra/b/g', 'mynn', 'morc2', 'gtf2f1', 'klf3', 'znf585b', 'znf202', 'h4k8ac', 'pitx3', 'kdm4c', 'bach1', 'hnf4a', 'pttg1', 'znf320', 'tardbp', 'h4k16ac', 'rag2', 'cbx1', 'top1', 'fam208a', 'prdm10', 'atf3', 'h3t11ph', '5hmc', 'jarid2', 'sirt1', 'maml
...
'med12', 'znf664', 'znf573', 'nfic', 'znf135', 'ash1l', 'arntl', 'hotair', 'crem', 'znf701', 'h3k4me3', 'stag1', 'jmjd1c', 'h3k56ac', 'nelfe', 'znf574', 'tbx3', 'zfp69', 'smarca5', 'fgfr1', 'ruvbl2', 'sall4', 'stat5b', 'znf793', 'zscan16', 'znf800', 'znf133', 'fus', 'lrwd1', 'lmo2', 'mettl14', 'h2bub', 'klf8', 'six1', 'kdm5b', 'bclaf1', 'znf24', 'ezh2', 'rxra', 'znf331', 'hes4', 'znf674', 'cbx6', 'znf266', 'nup98', 'znf480', 'hoxb4', 'znf600', 'snai2', 'tdrd3', 'rexo1', 'rfx5', 'znf8', 'nipbl', 'meis3', 'pcgf6', 'tfdp1', 'znf649', 'rest', 'lmtk3', 'cbfb', 'esr2', 'gtf3c1', 'jun', 'znf136', 'znf76', 'anp32e', 'foxa2', 'dux4', 'znf343', 'tcf3', 'men1', 'pou3f2', 'polr3g', 'ctcfl', 'npat', 'banf1', 'nfe2l1', 'stat5', 'setd1a', 'ice2', 'egr3', 'h2bk15ac', 'znf429', 'ncapg', 'jund', 'nup98-hoxa9', 'znf506', 'pitx1', 'znf860', 'zim3', 'znf175', 'gtf2i', 'znf823', 'zscan31', 'cd74', 'ikzf1', 'znf792', 'h3.3,h2a.z', 'gtf2b', 'gata4', 'mafk', 'znf627', 'sox10', 'cebpz', 'znf585a', 'dnmt3a', 'ubtf', 'cbx7', 'nfkb2', 'smad4', 'Unnamed: 0', 'aff4', 'nfkb1', 'arnt2', 'h3k9ac', 'ar', 'znf697', 'mnt', 'pcgf2', 'rad51', 'tcf4', 'gmeb1', 'nf1', 'mre11a', 'barx2', 'znf2', 'h3k18ac', 'znf680', 'tet3', 'bdp1', 'sp2', 'bach2', 'hoxa4', 'pbx2', 'zbtb16', 'tp63', 'znf182', 'gtf3c5', 'nfat5', 'cux1', 'terc', 'nelfa', 'znf770', 'foxo1', 'h4k5ac', 'etv4', 'ctnnb1', 'znf518a', 'etv7', 'ccnt2', 'klf11', 'ep400', 'dbp', 'ing5', 'zxdb', 'bcor', 'vezf1', 'nbn', 'znf304', 'lmnb1', 'znf605', 'src', 'zscan2'}) and 11 missing columns ({'tss', 'gene_name', 'strand', 'loc1', 'start', 'end', 'loc2', 'chrom', 'gene_id', 'build_region_index', 'gene_biotype'}).

This happened while the csv dataset builder was generating data using

hf://datasets/TongjiZhanglab/chrombert/hg38_6k_mask_matrix.tsv (at revision d671a4e0b2d650980ece48af00e479fdf0afbb64)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, 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
              Unnamed: 0: string
              5hmc: int64
              adnp: int64
              aebp2: int64
              aff1: int64
              aff4: int64
              ago1: int64
              ago2: int64
              ahr: int64
              ahrr: int64
              alkbh3: int64
              anp32e: int64
              apobec3b: int64
              ar: int64
              arid1a: int64
              arid2: int64
              arid3a: int64
              arid5b: int64
              arnt: int64
              arnt2: int64
              arntl: int64
              arntl2: int64
              arrb1: int64
              ascl1: int64
              ascl2: int64
              ash1l: int64
              ash2l: int64
              asxl1: int64
              atac-seq: int64
              atf1: int64
              atf2: int64
              atf3: int64
              atf4: int64
              atf5: int64
              atoh1: int64
              atrx: int64
              auts2: int64
              bach1: int64
              bach2: int64
              bahd1: int64
              banf1: int64
              banp: int64
              barhl1: int64
              barx1: int64
              barx2: int64
              batf: int64
              bcat1: int64
              bcl11a: int64
              bcl11b: int64
              bcl3: int64
              bcl6: int64
              bclaf1: int64
              bcor: int64
              bdp1: int64
              bhlhe40: int64
              bmi1: int64
              bptf: int64
              brca1: int64
              brd1: int64
              brd1-s: int64
              brd2: int64
              brd3: int64
              brd4: int64
              brd4-nut: int64
              brd7: int64
              brd9: int64
              brdu: int64
              brf1: int64
              brf2: int64
              brpf3: int64
              c17orf49: int64
              c17orf96: int64
              camta2: int64
              carm1: int64
              casp8ap2: int64
              cbfa2t2: int64
              cbfb: int64
              cbx1: int64
              cbx2: int64
              cbx3: int64
              cbx4: int64
              cbx5: int64
              cbx6: int64
              cbx7: int64
              cbx8: int64
              ccdc101: int64
              ccnd2: int64
              ccnt2: int64
              cd74: int64
              cdc5l: int64
              cdca2: int64
              cdk12: int64
              cdk6: int64
              cdk7: int64
              cdk8: int64
              cdk9: int64
              cdx1: int64
              cdx2: int64
              cebpa: int64
              cebpb: int64
              cebpd: int64
              cebpg: int64
              cebpz: int64
              cenpa: int64
              cenpc: int64
              cfp1: int64
              champ1: int64
              chd1: int64
              chd2: int64
              chd4: int64
              chd5: int64
              chd7: int64
              chd8: int64
              ciita: int64
              clock: int64
              cnot3: int64
              cops2: i
              ...
              4
              znf501: int64
              znf506: int64
              znf512: int64
              znf518a: int64
              znf519: int64
              znf528: int64
              znf534: int64
              znf543: int64
              znf547: int64
              znf549: int64
              znf554: int64
              znf558: int64
              znf561: int64
              znf563: int64
              znf565: int64
              znf567: int64
              znf571: int64
              znf573: int64
              znf574: int64
              znf580: int64
              znf581: int64
              znf584: int64
              znf585a: int64
              znf585b: int64
              znf586: int64
              znf589: int64
              znf592: int64
              znf596: int64
              znf600: int64
              znf605: int64
              znf610: int64
              znf611: int64
              znf616: int64
              znf623: int64
              znf627: int64
              znf639: int64
              znf641: int64
              znf644: int64
              znf649: int64
              znf654: int64
              znf664: int64
              znf667: int64
              znf671: int64
              znf674: int64
              znf675: int64
              znf680: int64
              znf682: int64
              znf687: int64
              znf692: int64
              znf695: int64
              znf697: int64
              znf701: int64
              znf706: int64
              znf707: int64
              znf71: int64
              znf711: int64
              znf714: int64
              znf730: int64
              znf740: int64
              znf750: int64
              znf75a: int64
              znf75d: int64
              znf76: int64
              znf765: int64
              znf766: int64
              znf770: int64
              znf778: int64
              znf780a: int64
              znf781: int64
              znf783: int64
              znf784: int64
              znf786: int64
              znf788: int64
              znf792: int64
              znf793: int64
              znf8: int64
              znf800: int64
              znf808: int64
              znf816: int64
              znf823: int64
              znf83: int64
              znf837: int64
              znf84: int64
              znf846: int64
              znf85: int64
              znf860: int64
              znf92: int64
              znf93: int64
              zscan16: int64
              zscan2: int64
              zscan20: int64
              zscan22: int64
              zscan23: int64
              zscan29: int64
              zscan31: int64
              zscan5a: int64
              zta: int64
              zxdb: int64
              zxdc: int64
              zzz3: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 115721
              to
              {'chrom': Value('string'), 'loc1': Value('int64'), 'loc2': Value('int64'), 'strand': Value('string'), 'tss': Value('int64'), 'gene_id': Value('string'), 'gene_name': Value('string'), 'gene_biotype': Value('string'), 'start': Value('int64'), 'end': Value('int64'), 'build_region_index': Value('int64')}
              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 1334, 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 911, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 1074 new columns ({'hdac2', 'lmna', 'brf1', 'h3k79me2', 'ehf', 'daxx', 'ncor1', 'znf146', 'gtf2a2', 'brca1', 'atf1', 'nr2f6', 'h2ak5ac', 'sumo2/3', 'tcf21', 'cdk9', 'znf341', 'h4k91ac', 'pias1', 'e2f1', 'znf217', 'ascl1', 'znf222', 'fli1', 'h3ac', 'znf639', 'pml', 'pax3-foxo1a', 'znf384', 'zbtb11', 'glis1', 'sfpq', 'znf671', 'nfatc3', 'bcl11a', 'znf350', 'znf766', 'smad5', 'h3k9me1', 'h3k27me1', 'znf337', 'znf157', 'phox2b', 'znf267', 'znf479', 'zfp42', 'znf707', 'taf3', 'dnase', 'hoxa1', 'dnmt3b', 'irf3', 'ctbp1', 'scml2', 'myf5', 'znf75a', 'smarcc1', 'znf124', 'znf140', 'barx1', 'ncapg2', 'sap30', 'znf197', 'nr1h3', 'tet1', 'h3k9/14ac', 'h1.4', 'tal1', 'foxp2', 'atoh1', 'kat5', 'h3k23me2', 'h2a', 'ebf3', 'mif', 'supt5h', 'kdm1a', 'foxj2', 'znf581', 'bptf', 'irf9', 'zxdc', 'znf596', 'sp140', 'sox15', 'rfx2', 'eomes', 'ddx20', 'ercc3', 'cbx2', 'srsf3', 'hbp1', 'rarg', 'klf16', 'ccnd2', 'h3k27me3', 'aff1', 'greb1', 'hoxb6', 'ing2', 'pax5', 'ebna2', 'mef2a', 'znf433', 'znf467', 'tshz1', 'brd1-s', 'lhx2', 'zbtb17', 'ino80', 'brd4-nut', 'zbtb24', 'zfp57', 'znf391', 'macroh2a1', 'nr3c2', 'zbed1', 'e2f8', 'creb3l2', 'arntl2', 'sirt6', 'neurog2', 'lyl1', 'wnt3a', 'cfp1', 'klf1', 'h3k9k14ac', 'zfp64', 'nfia', 'hnrnpll', 'znf281', 'znf436', 'rpa2', 'irf4', 'rxra/b/g', 'mynn', 'morc2', 'gtf2f1', 'klf3', 'znf585b', 'znf202', 'h4k8ac', 'pitx3', 'kdm4c', 'bach1', 'hnf4a', 'pttg1', 'znf320', 'tardbp', 'h4k16ac', 'rag2', 'cbx1', 'top1', 'fam208a', 'prdm10', 'atf3', 'h3t11ph', '5hmc', 'jarid2', 'sirt1', 'maml
              ...
              'med12', 'znf664', 'znf573', 'nfic', 'znf135', 'ash1l', 'arntl', 'hotair', 'crem', 'znf701', 'h3k4me3', 'stag1', 'jmjd1c', 'h3k56ac', 'nelfe', 'znf574', 'tbx3', 'zfp69', 'smarca5', 'fgfr1', 'ruvbl2', 'sall4', 'stat5b', 'znf793', 'zscan16', 'znf800', 'znf133', 'fus', 'lrwd1', 'lmo2', 'mettl14', 'h2bub', 'klf8', 'six1', 'kdm5b', 'bclaf1', 'znf24', 'ezh2', 'rxra', 'znf331', 'hes4', 'znf674', 'cbx6', 'znf266', 'nup98', 'znf480', 'hoxb4', 'znf600', 'snai2', 'tdrd3', 'rexo1', 'rfx5', 'znf8', 'nipbl', 'meis3', 'pcgf6', 'tfdp1', 'znf649', 'rest', 'lmtk3', 'cbfb', 'esr2', 'gtf3c1', 'jun', 'znf136', 'znf76', 'anp32e', 'foxa2', 'dux4', 'znf343', 'tcf3', 'men1', 'pou3f2', 'polr3g', 'ctcfl', 'npat', 'banf1', 'nfe2l1', 'stat5', 'setd1a', 'ice2', 'egr3', 'h2bk15ac', 'znf429', 'ncapg', 'jund', 'nup98-hoxa9', 'znf506', 'pitx1', 'znf860', 'zim3', 'znf175', 'gtf2i', 'znf823', 'zscan31', 'cd74', 'ikzf1', 'znf792', 'h3.3,h2a.z', 'gtf2b', 'gata4', 'mafk', 'znf627', 'sox10', 'cebpz', 'znf585a', 'dnmt3a', 'ubtf', 'cbx7', 'nfkb2', 'smad4', 'Unnamed: 0', 'aff4', 'nfkb1', 'arnt2', 'h3k9ac', 'ar', 'znf697', 'mnt', 'pcgf2', 'rad51', 'tcf4', 'gmeb1', 'nf1', 'mre11a', 'barx2', 'znf2', 'h3k18ac', 'znf680', 'tet3', 'bdp1', 'sp2', 'bach2', 'hoxa4', 'pbx2', 'zbtb16', 'tp63', 'znf182', 'gtf3c5', 'nfat5', 'cux1', 'terc', 'nelfa', 'znf770', 'foxo1', 'h4k5ac', 'etv4', 'ctnnb1', 'znf518a', 'etv7', 'ccnt2', 'klf11', 'ep400', 'dbp', 'ing5', 'zxdb', 'bcor', 'vezf1', 'nbn', 'znf304', 'lmnb1', 'znf605', 'src', 'zscan2'}) and 11 missing columns ({'tss', 'gene_name', 'strand', 'loc1', 'start', 'end', 'loc2', 'chrom', 'gene_id', 'build_region_index', 'gene_biotype'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/TongjiZhanglab/chrombert/hg38_6k_mask_matrix.tsv (at revision d671a4e0b2d650980ece48af00e479fdf0afbb64)
              
              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)