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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 ({'Count', 'Cell Type', 'Percentage'}) and 7 missing columns ({'scores', 'logfoldchanges', 'group', 'Unnamed: 0', 'pvals_adj', 'pvals', 'names'}).

This happened while the csv dataset builder was generating data using

hf://datasets/mukul54/LUAD_GSE131907/analysis/visualizations/cell_type_counts.csv (at revision 0f486a40ff67f6ced20a5477feeea9a7e319f146)

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 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, 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 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Cell Type: int64
              Count: int64
              Percentage: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 603
              to
              {'Unnamed: 0': Value(dtype='int64', id=None), 'group': Value(dtype='int64', id=None), 'names': Value(dtype='string', id=None), 'scores': Value(dtype='float64', id=None), 'logfoldchanges': Value(dtype='float64', id=None), 'pvals': Value(dtype='float64', id=None), 'pvals_adj': 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 1438, 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 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 ({'Count', 'Cell Type', 'Percentage'}) and 7 missing columns ({'scores', 'logfoldchanges', 'group', 'Unnamed: 0', 'pvals_adj', 'pvals', 'names'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/mukul54/LUAD_GSE131907/analysis/visualizations/cell_type_counts.csv (at revision 0f486a40ff67f6ced20a5477feeea9a7e319f146)
              
              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.

Unnamed: 0
int64
group
int64
names
string
scores
float64
logfoldchanges
float64
pvals
float64
pvals_adj
float64
0
0
MZB1
100.52601
7.812741
0
0
1
0
SSR4
98.834625
3.322928
0
0
2
0
IGHG3
87.439606
7.472177
0
0
3
0
IGKC
87.16163
7.560178
0
0
4
0
DERL3
87.143745
6.689845
0
0
5
0
FKBP11
86.84858
4.311295
0
0
6
0
IGHG4
86.08604
7.15131
0
0
7
0
JCHAIN
85.64469
7.252394
0
0
8
0
IGHG1
85.134544
8.132338
0
0
9
0
XBP1
78.216644
3.122139
0
0
10
0
HERPUD1
72.70272
2.832931
0
0
11
0
IGLC2
72.3827
5.595139
0
0
12
0
PRDX4
71.9816
3.051084
0
0
13
0
SEC11C
71.96085
2.940537
0
0
14
0
ITM2C
71.80363
3.439191
0
0
15
0
CD79A
68.13364
3.188325
0
0
16
0
IGHA1
65.8305
4.954741
0
0
17
0
IGLC3
65.02699
5.175175
0
0
18
0
IGHG2
62.39284
6.24175
0
0
19
0
FKBP2
59.580147
2.13357
0
0
20
0
TNFRSF17
58.361618
6.150839
0
0
21
0
HSP90B1
54.68214
1.91813
0
0
22
0
PIM2
53.675304
2.606289
0
0
23
0
IGHGP
52.96627
7.146051
0
0
24
0
SPCS2
51.608906
1.620415
0
0
25
0
FCRL5
51.33263
5.036186
0
0
26
0
CRELD2
49.094055
2.250596
0
0
27
0
SPCS3
49.073288
1.998381
0
0
28
0
JSRP1
48.47493
6.078183
0
0
29
0
DNAJB9
48.317722
2.041833
0
0
30
0
POU2AF1
47.573162
3.315687
0
0
31
0
CD38
47.56505
3.050484
0
0
32
0
PLPP5
46.92606
2.128824
0
0
33
0
SPAG4
46.914227
3.659514
0
0
34
0
MANF
46.634068
1.827309
0
0
35
0
SDF2L1
46.600544
1.808241
0
0
36
0
UBE2J1
45.586533
2.011298
0
0
37
0
CD27
45.077198
1.913296
0
0
38
0
SSR3
45.03973
1.605167
0
0
39
0
TXNDC15
44.35762
2.155187
0
0
40
0
VIMP
44.183853
1.654579
0
0
41
0
SLAMF7
43.850243
2.772277
0
0
42
0
MYDGF
42.923958
1.56601
0
0
43
0
ERLEC1
42.617283
1.806692
0
0
44
0
IGHM
41.953156
3.323055
0
0
45
0
NUCB2
40.903294
1.606837
0
0
46
0
LMAN1
39.96596
1.664082
0
0
47
0
MEI1
39.807533
2.425139
0
0
48
0
SDC1
39.664337
1.921859
0
0
49
0
IGHA2
39.170433
5.208118
0
0
50
0
TXNDC11
38.911705
2.031416
0
0
51
0
ISG20
38.44849
1.361288
0
0
52
0
TPD52
37.42463
1.480314
0
0
53
0
GNG7
37.27786
2.09272
0
0
54
0
CHPF
36.792194
2.288423
0
0
55
0
SPCS1
36.28078
1.098204
0
0
56
0
RP11-16E12.2
35.831757
5.6466
0
0
57
0
SRPRB
34.555134
1.709708
0
0
58
0
PDIA6
34.199055
1.159695
0
0
59
0
PNOC
34.04164
3.12988
0
0
60
0
SELM
34.01603
1.220877
0
0
61
0
PDIA4
34.003
1.291228
0
0
62
0
EAF2
33.953335
2.046103
0
0
63
0
HM13
33.414936
1.228256
0
0
64
0
ARSA
33.06329
2.011015
0
0
65
0
FAM46C
32.49599
1.174729
0
0
66
0
ST6GALNAC4
32.082714
2.132058
0
0
67
0
IGLV6-57
31.671728
6.77298
0
0
68
0
IGLV3-1
31.579693
6.818969
0
0
69
0
GMPPB
31.490814
2.021207
0
0
70
0
SPATS2
31.333609
1.99488
0
0
71
0
RABAC1
31.063635
1.030777
0
0
72
0
GAS6
30.760069
1.838838
0
0
73
0
KLF13
30.316923
1.343283
0
0
74
0
SIL1
29.8479
1.550434
0
0
75
0
ZBP1
29.595694
1.928812
0
0
76
0
SELK
29.438932
0.91721
0
0
77
0
ICAM2
29.086689
1.032873
0
0
78
0
ANKRD28
28.59419
1.4844
0
0
79
0
PRDM1
28.438547
1.492331
0
0
80
0
CD79B
28.396614
0.56003
0
0
81
0
DNAJC1
28.135014
1.008037
0
0
82
0
TMED9
27.75579
0.906318
0
0
83
0
TAPBPL
27.530952
1.369043
0
0
84
0
PDK1
27.443506
2.309796
0
0
85
0
KDELR1
27.426664
0.909577
0
0
86
0
IFNAR2
27.385267
1.149945
0
0
87
0
SEL1L
27.382418
1.527847
0
0
88
0
ALG5
26.838882
1.022696
0
0
89
0
DDOST
26.775585
0.925365
0
0
90
0
HSH2D
26.563728
1.390709
0
0
91
0
LINC00152
25.952166
0.927897
0
0
92
0
KIAA0125
25.862589
2.803733
0
0
93
0
SEC61B
25.859531
0.833082
0
0
94
0
DNAJB11
25.806688
0.962131
0
0
95
0
SEL1L3
25.78538
1.204593
0
0
96
0
AL928768.3
25.605783
3.072824
0
0
97
0
RAB30
25.547747
2.666636
0
0
98
0
TOR3A
25.39661
1.275888
0
0
99
0
LMAN2
25.38627
0.819976
0
0
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