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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 1 new columns ({'label'}) and 149 missing columns ({'MAP4K3', 'NSD1', 'ERBB2', 'SLC38A8', 'RPS2', 'ACVR1B', 'RBM10', 'VHL', 'BCLAF1', 'SMARCA4', 'CBFB', 'SEPT12', 'GATA3', 'CHD8', 'FGFR2', 'DNAH12', 'RBM5', 'OMA1', 'GNPTAB', 'IDH2', 'CTCF', 'TBL1XR1', 'PIK3R1', 'SPOP', 'FAT1', 'FLT3', 'ELF1', 'ASXL2', 'ZNF782', 'MTF1', 'BRAF', 'MAP3K1', 'EIF4A2', 'CHD4', 'RHOA', 'PBRM1', 'PDCD2L', 'BAP1', 'ODAM', 'CASP8', 'HSP90AB1', 'RUNX1', 'TRAF3', 'APC', 'TIMM17A', 'POLE', 'KEAP1', 'ELF4', 'STIP1', 'IDH1', 'DNMT3A', 'IRF6', 'HRAS', 'TP53', 'EZH1', 'HIST1H3B', 'DDX3X', 'NCOR1', 'DSG4', 'FGFR3', 'RBM11', 'CDH1', 'SAMSN1', 'CDK12', 'FGFBP1', 'BHMT2', 'ZNF483', 'HIST1H4E', 'MBD1', 'CNBD1', 'SMC3', 'PPP2R1A', 'SPEN', 'MTOR', 'KLHL8', 'INTS12', 'CREBBP', 'GPR156', 'RB1', 'NPM1', 'EPS8', 'KDM5C', 'USP7', 'AKT1', 'UBN2', 'SMARCB1', 'CTNNB1', 'ARID1A', 'CDKN2A', 'ASXL1', 'APOL2', 'ZNF750', 'CNKSR1', 'SPATA12', 'EIF2S2', 'IPO7', 'KRAS', 'EP300', 'ZNF180', 'SETD2', 'RPL5', 'B2M', 'CEP76', 'MGA', 'MYD88', 'MTM1', 'ATP6V1C1', 'EGFR', 'SETDB1', 'STAG2', 'RAC1', 'PTEN', 'MAPK1', 'CPT1A', 'PSTPIP2', 'BCOR', 'SERPINB13', 'NFE2L2', 'TP53BP1', 'SF3B1', 'GPS2', 'STK11', 'MAP2K1', 'LCP1', 'MAP2K4', 'U2AF1', 'ARID2', 'TBC1D12', 'NRAS', 'NF1', 'RASA1', 'CDKN1B', 'FBXW7', 'HLA-B', 'POLR2B', 'PIK3CA', 'OTUD7A', 'SMAD4', 'EPHA2', 'ATM', 'PLCG2', 'COL4A6', 'HLA-A', 'KDM6A', 'FAM166A', 'TGFBR2', 'ERBB3', 'NOTCH1', 'SOX6'}).

This happened while the csv dataset builder was generating data using

hf://datasets/VatsalPatel18/head-and-neck-cancer-expression-data/Clinical_HNSCC.Survival.csv (at revision 70f0e75fec4a4cc41fd461a2a118a2db1074b853)

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 2013, 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
              PatientID: string
              label: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 490
              to
              {'PatientID': Value(dtype='string', id=None), 'RHOA': Value(dtype='float64', id=None), 'ERBB3': Value(dtype='float64', id=None), 'CHD4': Value(dtype='float64', id=None), 'CTNNB1': Value(dtype='float64', id=None), 'CEP76': Value(dtype='float64', id=None), 'STAG2': Value(dtype='float64', id=None), 'SMARCA4': Value(dtype='float64', id=None), 'NFE2L2': Value(dtype='float64', id=None), 'MAP3K1': Value(dtype='float64', id=None), 'ZNF782': Value(dtype='float64', id=None), 'BAP1': Value(dtype='float64', id=None), 'MGA': Value(dtype='float64', id=None), 'MTM1': Value(dtype='float64', id=None), 'MAP4K3': Value(dtype='float64', id=None), 'SETDB1': Value(dtype='float64', id=None), 'PIK3CA': Value(dtype='float64', id=None), 'MTOR': Value(dtype='float64', id=None), 'NCOR1': Value(dtype='float64', id=None), 'MAPK1': Value(dtype='float64', id=None), 'CNBD1': Value(dtype='float64', id=None), 'MAP2K1': Value(dtype='float64', id=None), 'OMA1': Value(dtype='float64', id=None), 'ARID1A': Value(dtype='float64', id=None), 'ATP6V1C1': Value(dtype='float64', id=None), 'CDK12': Value(dtype='float64', id=None), 'ELF4': Value(dtype='float64', id=None), 'ACVR1B': Value(dtype='float64', id=None), 'CPT1A': Value(dtype='float64', id=None), 'DSG4': Value(dtype='float64', id=None), 'SMC3': Value(dtype='float64', id=None), 'SPATA12': Value(dtype='float64', id=None), 'RBM10': Value(dtype='float64', id=None), 'NPM1': Value(dtype='float64', id=None), 'TP53BP1': Value(dtype='float64', id=None), 'FAT1': Value(dtype
              ...
              'float64', id=None), 'USP7': Value(dtype='float64', id=None), 'ZNF180': Value(dtype='float64', id=None), 'FBXW7': Value(dtype='float64', id=None), 'SAMSN1': Value(dtype='float64', id=None), 'PPP2R1A': Value(dtype='float64', id=None), 'APOL2': Value(dtype='float64', id=None), 'U2AF1': Value(dtype='float64', id=None), 'NOTCH1': Value(dtype='float64', id=None), 'SLC38A8': Value(dtype='float64', id=None), 'TP53': Value(dtype='float64', id=None), 'ZNF750': Value(dtype='float64', id=None), 'ERBB2': Value(dtype='float64', id=None), 'AKT1': Value(dtype='float64', id=None), 'B2M': Value(dtype='float64', id=None), 'CDKN2A': Value(dtype='float64', id=None), 'INTS12': Value(dtype='float64', id=None), 'LCP1': Value(dtype='float64', id=None), 'IPO7': Value(dtype='float64', id=None), 'TGFBR2': Value(dtype='float64', id=None), 'FAM166A': Value(dtype='float64', id=None), 'HIST1H3B': Value(dtype='float64', id=None), 'KRAS': Value(dtype='float64', id=None), 'CASP8': Value(dtype='float64', id=None), 'MAP2K4': Value(dtype='float64', id=None), 'SETD2': Value(dtype='float64', id=None), 'EIF4A2': Value(dtype='float64', id=None), 'GNPTAB': Value(dtype='float64', id=None), 'SPOP': Value(dtype='float64', id=None), 'RPS2': Value(dtype='float64', id=None), 'STIP1': Value(dtype='float64', id=None), 'CDH1': Value(dtype='float64', id=None), 'GPR156': Value(dtype='float64', id=None), 'SERPINB13': Value(dtype='float64', id=None), 'RB1': Value(dtype='float64', id=None), 'HRAS': 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 1396, 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 1045, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1884, 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 2015, 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 ({'label'}) and 149 missing columns ({'MAP4K3', 'NSD1', 'ERBB2', 'SLC38A8', 'RPS2', 'ACVR1B', 'RBM10', 'VHL', 'BCLAF1', 'SMARCA4', 'CBFB', 'SEPT12', 'GATA3', 'CHD8', 'FGFR2', 'DNAH12', 'RBM5', 'OMA1', 'GNPTAB', 'IDH2', 'CTCF', 'TBL1XR1', 'PIK3R1', 'SPOP', 'FAT1', 'FLT3', 'ELF1', 'ASXL2', 'ZNF782', 'MTF1', 'BRAF', 'MAP3K1', 'EIF4A2', 'CHD4', 'RHOA', 'PBRM1', 'PDCD2L', 'BAP1', 'ODAM', 'CASP8', 'HSP90AB1', 'RUNX1', 'TRAF3', 'APC', 'TIMM17A', 'POLE', 'KEAP1', 'ELF4', 'STIP1', 'IDH1', 'DNMT3A', 'IRF6', 'HRAS', 'TP53', 'EZH1', 'HIST1H3B', 'DDX3X', 'NCOR1', 'DSG4', 'FGFR3', 'RBM11', 'CDH1', 'SAMSN1', 'CDK12', 'FGFBP1', 'BHMT2', 'ZNF483', 'HIST1H4E', 'MBD1', 'CNBD1', 'SMC3', 'PPP2R1A', 'SPEN', 'MTOR', 'KLHL8', 'INTS12', 'CREBBP', 'GPR156', 'RB1', 'NPM1', 'EPS8', 'KDM5C', 'USP7', 'AKT1', 'UBN2', 'SMARCB1', 'CTNNB1', 'ARID1A', 'CDKN2A', 'ASXL1', 'APOL2', 'ZNF750', 'CNKSR1', 'SPATA12', 'EIF2S2', 'IPO7', 'KRAS', 'EP300', 'ZNF180', 'SETD2', 'RPL5', 'B2M', 'CEP76', 'MGA', 'MYD88', 'MTM1', 'ATP6V1C1', 'EGFR', 'SETDB1', 'STAG2', 'RAC1', 'PTEN', 'MAPK1', 'CPT1A', 'PSTPIP2', 'BCOR', 'SERPINB13', 'NFE2L2', 'TP53BP1', 'SF3B1', 'GPS2', 'STK11', 'MAP2K1', 'LCP1', 'MAP2K4', 'U2AF1', 'ARID2', 'TBC1D12', 'NRAS', 'NF1', 'RASA1', 'CDKN1B', 'FBXW7', 'HLA-B', 'POLR2B', 'PIK3CA', 'OTUD7A', 'SMAD4', 'EPHA2', 'ATM', 'PLCG2', 'COL4A6', 'HLA-A', 'KDM6A', 'FAM166A', 'TGFBR2', 'ERBB3', 'NOTCH1', 'SOX6'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/VatsalPatel18/head-and-neck-cancer-expression-data/Clinical_HNSCC.Survival.csv (at revision 70f0e75fec4a4cc41fd461a2a118a2db1074b853)
              
              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.

PatientID
string
RHOA
float64
ERBB3
float64
CHD4
float64
CTNNB1
float64
CEP76
float64
STAG2
float64
SMARCA4
float64
NFE2L2
float64
MAP3K1
float64
ZNF782
float64
BAP1
float64
MGA
float64
MTM1
float64
MAP4K3
float64
SETDB1
float64
PIK3CA
float64
MTOR
float64
NCOR1
float64
MAPK1
float64
CNBD1
float64
MAP2K1
float64
OMA1
float64
ARID1A
float64
ATP6V1C1
float64
CDK12
float64
ELF4
float64
ACVR1B
float64
CPT1A
float64
DSG4
float64
SMC3
float64
SPATA12
float64
RBM10
float64
NPM1
float64
TP53BP1
float64
FAT1
float64
EPHA2
float64
POLE
float64
ZNF483
float64
FGFR3
float64
EIF2S2
float64
UBN2
float64
GPS2
float64
OTUD7A
float64
PSTPIP2
float64
NSD1
float64
EZH1
float64
MYD88
float64
PBRM1
float64
CTCF
float64
EPS8
float64
NF1
float64
SOX6
float64
CBFB
float64
IDH2
float64
HIST1H4E
float64
ASXL2
float64
POLR2B
float64
IDH1
float64
COL4A6
float64
RPL5
float64
ARID2
float64
KDM6A
float64
SMARCB1
float64
VHL
float64
HLA-A
float64
BCOR
float64
CREBBP
float64
HSP90AB1
float64
APC
float64
FLT3
float64
TBC1D12
float64
MTF1
float64
IRF6
float64
HLA-B
float64
ODAM
float64
PIK3R1
float64
GATA3
float64
STK11
float64
DDX3X
float64
KLHL8
float64
RBM11
float64
KEAP1
float64
FGFR2
float64
DNAH12
float64
CHD8
float64
RAC1
float64
BHMT2
float64
NRAS
float64
PTEN
float64
SMAD4
float64
ASXL1
float64
BRAF
float64
ELF1
float64
CNKSR1
float64
MBD1
float64
EP300
float64
CDKN1B
float64
PDCD2L
float64
ATM
float64
RUNX1
float64
BCLAF1
float64
DNMT3A
float64
FGFBP1
float64
SPEN
float64
RBM5
float64
TIMM17A
float64
TBL1XR1
float64
PLCG2
float64
RASA1
float64
SEPT12
float64
TRAF3
float64
SF3B1
float64
KDM5C
float64
EGFR
float64
USP7
float64
ZNF180
float64
FBXW7
float64
SAMSN1
float64
PPP2R1A
float64
APOL2
float64
U2AF1
float64
NOTCH1
float64
SLC38A8
float64
TP53
float64
ZNF750
float64
ERBB2
float64
AKT1
float64
B2M
float64
CDKN2A
float64
INTS12
float64
LCP1
float64
IPO7
float64
TGFBR2
float64
FAM166A
float64
HIST1H3B
float64
KRAS
float64
CASP8
float64
MAP2K4
float64
SETD2
float64
EIF4A2
float64
GNPTAB
float64
SPOP
float64
RPS2
float64
STIP1
float64
CDH1
float64
GPR156
float64
SERPINB13
float64
RB1
float64
HRAS
float64
TCGA-WA-A7GZ-01
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0.893967
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0.681358
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0.941396
0.007009
0.854224
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0.869889
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0.773091
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TCGA-HD-7753-01
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End of preview.
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

License


license: cc-by-nc-sa-4.0

Head and Neck Cancer Expression Data

This dataset contains gene expression data for head and neck cancer samples from the TCGA and CPTAC datasets. The data has been quantile normalized and batch effect corrected using ComBat.

Files

  • combat_corrected_expression_data.csv: Batch effect corrected expression data.
  • normalized_expression_data.csv: Quantile normalized expression data.

Usage

from datasets import load_dataset

dataset = load_dataset("VatsalPatel18/head-and-neck-expression-data")
combat_corrected = dataset["combat_corrected_expression_data.csv"]
normalized_data = dataset["normalized_expression_data.csv"]

"""

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