Task Categories: question-answering
Languages: Korean
Multilinguality: monolingual
Size Categories: 10K<n<100K
Language Creators: found
Annotations Creators: crowdsourced
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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    FileNotFoundError
Message:      [Errno 2] No such file or directory: 'zip://::'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/responses/", line 337, in get_first_rows_response
                  rows = get_rows(dataset, config, split, streaming=True, rows_max_number=rows_max_number, hf_token=hf_token)
                File "/src/services/worker/src/worker/", line 123, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/responses/", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 718, in __iter__
                  for key, example in self._iter():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 708, in _iter
                  yield from ex_iterable
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/", line 112, in __iter__
                  yield from self.generate_examples_fn(**self.kwargs)
                File "/tmp/modules-cache/datasets_modules/datasets/squad_kor_v2/8e4ee4e5757761cf13f00b2d4e4cef2e842c0ea3c57050fec9fafc8fec60e128/", line 118, in _generate_examples
                  filepaths = sorted(os.scandir(d), key=lambda x:
              FileNotFoundError: [Errno 2] No such file or directory: 'zip://::'

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Dataset Card for KorQuAD v2.1

Dataset Summary

KorQuAD 2.0 is a Korean question and answering dataset consisting of a total of 100,000+ pairs. There are three major differences from KorQuAD 1.0, which is the standard Korean Q & A data. The first is that a given document is a whole Wikipedia page, not just one or two paragraphs. Second, because the document also contains tables and lists, it is necessary to understand the document structured with HTML tags. Finally, the answer can be a long text covering not only word or phrase units, but paragraphs, tables, and lists.

Supported Tasks and Leaderboards




Dataset Structure

Follows the standart SQuAD format. There is only 1 answer per question

Data Instances

An example from the data set looks as follows:

{'answer': {'answer_start': 3873,
  'html_answer_start': 16093,
  'text': '20,890 표'},
 'context': '<!DOCTYPE html>\n<html>\n<head>\n<meta>\n<title>심규언 - 위키백과, 우리 모두의 백과사전</title>\n\n\n<link>\n.....[omitted]',
 'id': '36615',
 'question': '심규언은 17대 지방 선거에서 몇 표를 득표하였는가?',
 'raw_html': '<!DOCTYPE html>\n<html c ...[omitted]',
 'title': '심규언',
 'url': '심규언'}

Data Fields

{'id': Value(dtype='string', id=None),
 'title': Value(dtype='string', id=None),
 'context': Value(dtype='string', id=None),
 'question': Value(dtype='string', id=None),
 'answer': {'text': Value(dtype='string', id=None),
  'answer_start': Value(dtype='int32', id=None),
  'html_answer_start': Value(dtype='int32', id=None)},
 'url': Value(dtype='string', id=None),
 'raw_html': Value(dtype='string', id=None)}

Data Splits

  • Train : 83486
  • Validation: 10165

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data


Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]


Annotation process

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Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information


Citation Information

    author={Youngmin Kim,Seungyoung Lim;Hyunjeong Lee;Soyoon Park;Myungji Kim},
    title={{KorQuAD 2.0: Korean QA Dataset for Web Document Machine Comprehension}},
    booltitle={{Journal of KIISE 제47권 제6호}},
    journal={{Journal of KIISE}},
    publisher={The Korean Institute of Information Scientists and Engineers},


Thanks to @cceyda for adding this dataset.

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