Datasets:

HERIUN
/

kor-ner-spacy-data

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Column(/entities/[]/[]) changed from number to string in row 0
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 183, in _generate_tables
                  df = pandas_read_json(f)
                       ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1392, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Trailing data
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 544, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 383, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 186, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
                  pa_table = paj.read_json(
                             ^^^^^^^^^^^^^^
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column(/entities/[]/[]) changed from number to string in row 0

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Korean NER Dataset (spaCy format)

한국어 NER(Named Entity Recognition) 학습을 위해 여러 공개 데이터셋을 수집·변환한 데이터셋입니다.

변환 스크립트 및 상세 문서: GitHub - HERIUN/kor_ner_spacy_data

데이터 형식

각 줄은 하나의 문장이며 JSONL 형식입니다.

{"text": "홍길동이 서울에 산다.", "entities": [[0, 3, "PER"], [5, 7, "LOC"]]}

text : 원문 문장
entities : [start, end, label] 리스트
- start : 0-based, inclusive
- end : exclusive (Python slice 기준)

파일 구성

파일	원본 데이터	레코드 수
`data/094_ner_dataset.jsonl`	AIHub 관광 특화 말뭉치	907,787
`data/208_ner_dataset.jsonl`	AIHub 전시 공연 도슨트	981
`data/naver_ner_dataset.jsonl`	네이버 NER 데이터셋	67,800
`data/kmou_ner_dataset.jsonl`	말뭉치 - 형태소_개체명	18,659
합계		995,227

태그 체계

태그	의미
`PER`	인물
`ORG`	기관
`LOC`	장소
`DAT`	날짜·기간
`TIM`	시간
`QT`	수량·금액·퍼센트
`ADD`	주소 (094 전용)
`PHN`	전화번호 (094 전용)
`URL`	웹 주소 (094 전용)

엔티티 통계

태그	건수	비율
`LOC`	723,199	44.00%
`QT`	224,596	13.67%
`DAT`	168,670	10.26%
`ADD`	129,320	7.87%
`ORG`	116,121	7.07%
`PER`	92,001	5.60%
`PHN`	91,674	5.58%
`URL`	67,166	4.09%
`TIM`	30,651	1.87%
합계	1,643,398	100%

원본 데이터 출처

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