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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 2 new columns ({'TLD', 'Count'}) and 8 missing columns ({'Top_Style', 'Domain', 'Has_Equation', 'Top_Level', 'Sample_Count', 'Has_Table', 'Top_Language', 'Has_Code'}).

This happened while the csv dataset builder was generating data using

hf://datasets/anonymous-s2wrvq/MainWebBench/tld_statistics.csv (at revision 735e78775504a1948cb685c9c47b8e0436bddbf3)

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
              TLD: string
              Count: int64
              Percentage: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 594
              to
              {'Domain': Value('string'), 'Sample_Count': Value('int64'), 'Percentage': Value('string'), 'Top_Language': Value('string'), 'Top_Style': Value('string'), 'Top_Level': Value('string'), 'Has_Table': Value('int64'), 'Has_Code': Value('int64'), 'Has_Equation': 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 1339, 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 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                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 2 new columns ({'TLD', 'Count'}) and 8 missing columns ({'Top_Style', 'Domain', 'Has_Equation', 'Top_Level', 'Sample_Count', 'Has_Table', 'Top_Language', 'Has_Code'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/anonymous-s2wrvq/MainWebBench/tld_statistics.csv (at revision 735e78775504a1948cb685c9c47b8e0436bddbf3)
              
              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)

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Domain
string
Sample_Count
int64
Percentage
string
Top_Language
string
Top_Style
string
Top_Level
string
Has_Table
int64
Has_Code
int64
Has_Equation
int64
aniruddhadeb.com
39
0.49%
en
Article
simple
1
9
36
politics.stackexchange.com
30
0.38%
en
Forum_or_Article_with_commentsection
mid
0
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www.ask.com
29
0.37%
en
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simple
1
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3
en.wikipedia.org
27
0.34%
en
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hard
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www.china.org.cn
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simple
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money.cnn.com
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0.28%
en
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data.epo.org
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0.27%
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m.weibo.cn
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zh
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spanish.china.org.cn
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china.org.cn
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en
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french.china.org.cn
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stampauctionnetwork.com
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cnn.com
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hard
10
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www.yn.news.cn
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0.14%
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11
0.14%
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ja
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www.esaral.com
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korean.china.org.cn
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ko
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yn.news.cn
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tianya.im
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de
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www.tomfolio.com
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arxiv.org
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1
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www.myneta.info
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yogaforlife06.com
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baike.baidu.com
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chinese-word.com
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news.gmw.cn
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3v4l.org
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4
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wiki.erights.org
4
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2
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www.classiccat.net
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4
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0.05%
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4
1
0
End of preview.

Benchmark data for main HTML extraction, contrained 7887 rows.

Field Name Description
track_id The unique id of benchmark data
url The url of benchmark data
html The html with human annotated main content
main_html The main html extracted from the html
convert_main_content The markdown content converted from the main html by html2text
meta The meta information of the benchmark data
meta.level The difficulty level of the benchmark data ("simple", "mid", "hard")
meta.language The language of the benchmark data ("en", "non_en")
meta.table Whether the benchmark data contains table ("with", "without")
meta.code Whether the benchmark data contains code ("with", "without")
meta.equation Whether the benchmark data contains equation ("with", "without")
meta.style The style of the benchmark data ("Conversational", "Normal")
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