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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

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891,800

1

42,941.44754

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1,003

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1,002

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891,800

1

42,941.539607

1

1,004

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1

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3

1,003

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-1

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1

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892,200

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42,941.550484

1

1,008

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891,900

1

42,941.55065

1

1,009

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892,200

-1

42,941.55968

3

425,729,206

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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

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892,000

1

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3

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100

892,500

-1

42,941.667038

3

1,002

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892,200

-1

42,941.670591

1

1,014

100

892,300

-1

42,941.702914

4

1,015

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892,200

-1

42,941.707929

3

1,007

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891,800

1

42,941.756837

3

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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

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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

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100

891,900

1

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1

1,029

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892,300

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42,941.958599

3

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100

892,300

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1

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892,500

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892,400

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42,942.042422

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892,200

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100

892,200

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1

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-1

42,942.04924

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-1

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892,200

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200

892,300

-1

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1,054

55

892,300

-1

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1

1,046

100

892,300

-1

42,942.064384

1

1,047

100

892,200

-1

42,942.064868

1

1,048

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892,300

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1

1,049

100

892,300

-1

42,942.065528

3

1,045

200

892,300

-1

42,942.066038

1

1,050

25

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-1

42,942.07089

1

1,051

100

892,100

1

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