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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 5 new columns ({'893000', '1000', '1', '100', '43076.026406089'}) and 5 missing columns ({'3', '42941.404279991', '200', '425594454', '892600'}).

This happened while the csv dataset builder was generating data using

hf://datasets/peernagy/lob_bench/GOOG/data_gen_4w0.1B/GOOG_2023-01-03_message_real_id_1018_gen_id_0.csv (at revision 3b550d78812984f85a4ea0be55c3bc691fa947cf)

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 643, 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
              43076.026406089: double
              1: int64
              1000: int64
              100: int64
              893000: int64
              -1: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 909
              to
              {'42941.404279991': Value(dtype='float64', id=None), '3': Value(dtype='int64', id=None), '425594454': Value(dtype='int64', id=None), '200': Value(dtype='int64', id=None), '892600': Value(dtype='int64', id=None), '-1': Value(dtype='int64', 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 1433, 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 5 new columns ({'893000', '1000', '1', '100', '43076.026406089'}) and 5 missing columns ({'3', '42941.404279991', '200', '425594454', '892600'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/peernagy/lob_bench/GOOG/data_gen_4w0.1B/GOOG_2023-01-03_message_real_id_1018_gen_id_0.csv (at revision 3b550d78812984f85a4ea0be55c3bc691fa947cf)
              
              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.

42941.404279991
float64
3
int64
425594454
int64
200
int64
892600
int64
-1
int64
42,941.433518
3
425,725,842
25
891,600
1
42,941.435422
1
1,000
25
892,400
-1
42,941.438024
1
1,001
25
892,600
-1
42,941.443931
3
425,667,046
100
891,900
1
42,941.443952
3
425,729,186
100
891,800
1
42,941.444255
1
1,002
25
891,800
1
42,941.44754
1
1,003
100
892,700
-1
42,941.522534
3
1,002
25
891,800
1
42,941.539607
1
1,004
25
891,400
1
42,941.549636
3
1,003
100
892,700
-1
42,941.54968
1
1,005
100
892,200
-1
42,941.549692
1
1,006
50
893,000
-1
42,941.549714
1
1,007
100
892,200
-1
42,941.550484
1
1,008
25
891,900
1
42,941.55065
1
1,009
100
892,200
-1
42,941.55968
3
425,729,206
200
892,600
-1
42,941.562205
3
1,005
25
892,400
-1
42,941.574209
3
1,006
25
892,400
-1
42,941.576482
3
1,004
50
893,000
-1
42,941.592937
3
1,008
25
891,000
1
42,941.604376
3
425,697,146
100
891,200
1
42,941.604459
1
1,010
100
891,300
1
42,941.62223
1
1,011
100
891,900
1
42,941.64453
1
1,012
100
892,100
1
42,941.648709
1
1,013
100
891,800
1
42,941.655633
3
425,734,374
100
892,000
1
42,941.66679
3
425,734,458
100
892,500
-1
42,941.667038
3
1,002
200
892,200
-1
42,941.670591
1
1,014
100
892,300
-1
42,941.702914
4
1,015
50
892,200
-1
42,941.707929
3
1,007
25
891,800
1
42,941.756837
3
425,733,922
1
892,200
-1
42,941.762865
3
424,959,534
100
892,500
-1
42,941.812593
3
425,735,602
100
892,100
1
42,941.824678
1
1,016
200
892,300
-1
42,941.844339
3
425,730,354
100
892,100
1
42,941.85599
1
1,017
100
892,200
-1
42,941.857868
1
1,018
200
892,100
1
42,941.858026
3
425,523,134
100
891,500
1
42,941.858789
3
425,739,570
100
891,700
1
42,941.860608
3
425,700,622
100
892,200
-1
42,941.860657
3
425,734,990
200
892,300
-1
42,941.86097
1
1,019
200
891,700
1
42,941.863939
3
425,733,226
100
892,500
-1
42,941.864063
1
1,020
100
892,600
-1
42,941.864713
1
1,021
100
892,100
1
42,941.864723
1
1,022
100
891,700
1
42,941.868024
1
1,023
100
891,900
1
42,941.904006
1
1,024
25
892,200
-1
42,941.905635
3
425,676,830
100
891,900
1
42,941.9057
3
1,018
100
892,300
-1
42,941.906295
3
1,010
100
891,300
1
42,941.918639
3
425,734,486
100
892,500
-1
42,941.926051
3
425,734,414
100
892,500
-1
42,941.933664
1
1,025
100
892,300
-1
42,941.948095
3
1,024
25
892,400
-1
42,941.949789
1
1,026
100
892,800
-1
42,941.949932
3
425,728,922
25
892,500
-1
42,941.94996
1
1,027
25
892,600
-1
42,941.953679
3
1,027
25
892,800
-1
42,941.953969
1
1,028
200
892,100
1
42,941.956996
3
425,755,750
100
891,900
1
42,941.957149
1
1,029
300
892,300
-1
42,941.958599
3
425,734,366
100
892,300
-1
42,941.958933
3
1,025
100
892,000
1
42,941.961421
3
425,753,042
100
892,500
-1
42,941.961421
1
1,030
100
892,700
-1
42,941.962639
3
1,029
25
892,300
-1
42,941.964526
1
1,031
100
892,400
-1
42,941.969614
1
1,032
44
892,200
-1
42,941.970333
3
425,734,786
100
891,300
1
42,941.993323
1
1,033
100
892,500
-1
42,941.999598
3
425,594,422
22
892,200
-1
42,941.99967
1
1,034
50
893,000
-1
42,941.999681
1
1,035
100
892,400
-1
42,942.013652
1
1,036
100
893,000
-1
42,942.018802
1
1,037
100
892,300
-1
42,942.022712
1
1,038
100
892,500
-1
42,942.023733
1
1,039
100
892,200
-1
42,942.025428
1
1,040
1
892,700
-1
42,942.030403
3
1,019
100
892,200
-1
42,942.042422
3
1,040
50
893,000
-1
42,942.042465
1
1,041
100
892,600
-1
42,942.042546
3
425,734,194
1
892,300
-1
42,942.045628
3
425,748,346
100
892,200
-1
42,942.04686
3
1,032
100
892,200
-1
42,942.047269
1
1,042
100
892,600
-1
42,942.047898
1
1,043
100
892,200
-1
42,942.048637
1
1,044
200
892,200
-1
42,942.04924
1
1,045
100
892,200
-1
42,942.050879
3
425,757,702
100
892,200
-1
42,942.057365
3
425,768,762
200
892,300
-1
42,942.062331
3
1,054
55
892,300
-1
42,942.063466
1
1,046
100
892,300
-1
42,942.064384
1
1,047
100
892,200
-1
42,942.064868
1
1,048
200
892,300
-1
42,942.065465
1
1,049
100
892,300
-1
42,942.065528
3
1,045
200
892,300
-1
42,942.066038
1
1,050
25
892,200
-1
42,942.07089
1
1,051
100
892,100
1
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