Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
anilist_id: int64
doc_title: string
doc_url: string
domain: string
doc_id: string
web_query: string
collected_at: timestamp[s]
is_item_doc: bool
text: string
127230:체인소 맨 1기는 몇 화야?: struct<plan: struct<ko_query: string, en_query: string, title_candidates: list<item: string>, web_qu (... 161 chars omitted)
child 0, plan: struct<ko_query: string, en_query: string, title_candidates: list<item: string>, web_query: string>
child 0, ko_query: string
child 1, en_query: string
child 2, title_candidates: list<item: string>
child 0, item: string
child 3, web_query: string
child 1, status: struct<searched: bool, docs: list<item: string>, discarded: list<item: string>, item_doc: bool, note (... 20 chars omitted)
child 0, searched: bool
child 1, docs: list<item: string>
child 0, item: string
child 2, discarded: list<item: string>
child 0, item: string
child 3, item_doc: bool
child 4, notes: list<item: null>
child 0, item: null
child 2, at: timestamp[s]
158539:외모지상주의 애니는 어떤 형식이고 몇 화야?: struct<plan: struct<ko_query: string, en_query: string, title_candidates: list<item: string>, web_qu (... 159 chars omitted)
child 0, plan: struct<ko_query: string, en_query: string, title_candidates: list<item: string>, web_query: string>
child 0, ko_query: string
child 1, en_query: string
child 2, title_candidates: list<item: string>
child 0, item: string
child 3, web_quer
...
ring
child 1, en_query: string
child 2, title_candidates: list<item: string>
child 0, item: string
child 3, web_query: string
child 1, status: struct<searched: bool, docs: list<item: null>, discarded: list<item: string>, item_doc: bool, notes: (... 18 chars omitted)
child 0, searched: bool
child 1, docs: list<item: null>
child 0, item: null
child 2, discarded: list<item: string>
child 0, item: string
child 3, item_doc: bool
child 4, notes: list<item: null>
child 0, item: null
child 2, at: timestamp[s]
101922:귀멸의 칼날 1기는 몇 년에 방영했어?: struct<plan: struct<ko_query: string, en_query: string, title_candidates: list<item: string>, web_qu (... 161 chars omitted)
child 0, plan: struct<ko_query: string, en_query: string, title_candidates: list<item: string>, web_query: string>
child 0, ko_query: string
child 1, en_query: string
child 2, title_candidates: list<item: string>
child 0, item: string
child 3, web_query: string
child 1, status: struct<searched: bool, docs: list<item: string>, discarded: list<item: string>, item_doc: bool, note (... 20 chars omitted)
child 0, searched: bool
child 1, docs: list<item: string>
child 0, item: string
child 2, discarded: list<item: string>
child 0, item: string
child 3, item_doc: bool
child 4, notes: list<item: null>
child 0, item: null
child 2, at: timestamp[s]
to
{'101922:귀멸의 칼날 애니는 어느 제작사가 만들었고 작화 평가는 어때?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('string')), 'item_doc': Value('bool'), 'notes': List(Value('null'))}, 'at': Value('timestamp[s]')}, '154587:장송의 프리렌은 원작이 뭐고 애니는 몇 화야?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('string')), 'item_doc': Value('bool'), 'notes': List(Value('null'))}, 'at': Value('timestamp[s]')}, '158539:외모지상주의 애니는 원작이 뭐고 어디서 공개됐어?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('null')), 'item_doc': Value('bool'), 'notes': List(Value('string'))}, 'at': Value('timestamp[s]')}, '130003:봇치 더 록! 애니 음악은 누가 불렀어?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('string')), 'item_doc': Value('bool'), 'notes': List(Value('null'))}, 'at': Value('timestamp[s]')}, '20958:진격의 거인 2기는 원작 몇 권까지 다뤄?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_qu
...
p[s]')}, '127230:체인소 맨 블루레이 1권은 일본에서 몇 장 팔렸어?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('string')), 'discarded': List(Value('string')), 'item_doc': Value('bool'), 'notes': List(Value('null'))}, 'at': Value('timestamp[s]')}, '127230:던전밥 블루레이 1권은 일본에서 몇 장 팔렸어?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('null')), 'discarded': List(Value('string')), 'item_doc': Value('bool'), 'notes': List(Value('null'))}, 'at': Value('timestamp[s]')}, '153518:던전밥 애니는 어느 제작사가 만들었고 원작은 누가 그렸어?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('string')), 'discarded': List(Value('string')), 'item_doc': Value('bool'), 'notes': List(Value('null'))}, 'at': Value('timestamp[s]')}, '153518:던전밥 블루레이 1권은 일본에서 몇 장 팔렸어?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('null')), 'discarded': List(Value('string')), 'item_doc': Value('bool'), 'notes': List(Value('null'))}, 'at': Value('timestamp[s]')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
anilist_id: int64
doc_title: string
doc_url: string
domain: string
doc_id: string
web_query: string
collected_at: timestamp[s]
is_item_doc: bool
text: string
127230:체인소 맨 1기는 몇 화야?: struct<plan: struct<ko_query: string, en_query: string, title_candidates: list<item: string>, web_qu (... 161 chars omitted)
child 0, plan: struct<ko_query: string, en_query: string, title_candidates: list<item: string>, web_query: string>
child 0, ko_query: string
child 1, en_query: string
child 2, title_candidates: list<item: string>
child 0, item: string
child 3, web_query: string
child 1, status: struct<searched: bool, docs: list<item: string>, discarded: list<item: string>, item_doc: bool, note (... 20 chars omitted)
child 0, searched: bool
child 1, docs: list<item: string>
child 0, item: string
child 2, discarded: list<item: string>
child 0, item: string
child 3, item_doc: bool
child 4, notes: list<item: null>
child 0, item: null
child 2, at: timestamp[s]
158539:외모지상주의 애니는 어떤 형식이고 몇 화야?: struct<plan: struct<ko_query: string, en_query: string, title_candidates: list<item: string>, web_qu (... 159 chars omitted)
child 0, plan: struct<ko_query: string, en_query: string, title_candidates: list<item: string>, web_query: string>
child 0, ko_query: string
child 1, en_query: string
child 2, title_candidates: list<item: string>
child 0, item: string
child 3, web_quer
...
ring
child 1, en_query: string
child 2, title_candidates: list<item: string>
child 0, item: string
child 3, web_query: string
child 1, status: struct<searched: bool, docs: list<item: null>, discarded: list<item: string>, item_doc: bool, notes: (... 18 chars omitted)
child 0, searched: bool
child 1, docs: list<item: null>
child 0, item: null
child 2, discarded: list<item: string>
child 0, item: string
child 3, item_doc: bool
child 4, notes: list<item: null>
child 0, item: null
child 2, at: timestamp[s]
101922:귀멸의 칼날 1기는 몇 년에 방영했어?: struct<plan: struct<ko_query: string, en_query: string, title_candidates: list<item: string>, web_qu (... 161 chars omitted)
child 0, plan: struct<ko_query: string, en_query: string, title_candidates: list<item: string>, web_query: string>
child 0, ko_query: string
child 1, en_query: string
child 2, title_candidates: list<item: string>
child 0, item: string
child 3, web_query: string
child 1, status: struct<searched: bool, docs: list<item: string>, discarded: list<item: string>, item_doc: bool, note (... 20 chars omitted)
child 0, searched: bool
child 1, docs: list<item: string>
child 0, item: string
child 2, discarded: list<item: string>
child 0, item: string
child 3, item_doc: bool
child 4, notes: list<item: null>
child 0, item: null
child 2, at: timestamp[s]
to
{'101922:귀멸의 칼날 애니는 어느 제작사가 만들었고 작화 평가는 어때?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('string')), 'item_doc': Value('bool'), 'notes': List(Value('null'))}, 'at': Value('timestamp[s]')}, '154587:장송의 프리렌은 원작이 뭐고 애니는 몇 화야?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('string')), 'item_doc': Value('bool'), 'notes': List(Value('null'))}, 'at': Value('timestamp[s]')}, '158539:외모지상주의 애니는 원작이 뭐고 어디서 공개됐어?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('null')), 'item_doc': Value('bool'), 'notes': List(Value('string'))}, 'at': Value('timestamp[s]')}, '130003:봇치 더 록! 애니 음악은 누가 불렀어?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('string')), 'item_doc': Value('bool'), 'notes': List(Value('null'))}, 'at': Value('timestamp[s]')}, '20958:진격의 거인 2기는 원작 몇 권까지 다뤄?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_qu
...
p[s]')}, '127230:체인소 맨 블루레이 1권은 일본에서 몇 장 팔렸어?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('string')), 'discarded': List(Value('string')), 'item_doc': Value('bool'), 'notes': List(Value('null'))}, 'at': Value('timestamp[s]')}, '127230:던전밥 블루레이 1권은 일본에서 몇 장 팔렸어?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('null')), 'discarded': List(Value('string')), 'item_doc': Value('bool'), 'notes': List(Value('null'))}, 'at': Value('timestamp[s]')}, '153518:던전밥 애니는 어느 제작사가 만들었고 원작은 누가 그렸어?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('string')), 'discarded': List(Value('string')), 'item_doc': Value('bool'), 'notes': List(Value('null'))}, 'at': Value('timestamp[s]')}, '153518:던전밥 블루레이 1권은 일본에서 몇 장 팔렸어?': {'plan': {'ko_query': Value('string'), 'en_query': Value('string'), 'title_candidates': List(Value('string')), 'web_query': Value('string')}, 'status': {'searched': Value('bool'), 'docs': List(Value('null')), 'discarded': List(Value('string')), 'item_doc': Value('bool'), 'notes': List(Value('null'))}, 'at': Value('timestamp[s]')}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
애니 가이드 RAG의 색인 데이터 (ChromaDB, 정제 산출물, 수집 캐시). 출처: AniList(Kaggle, CC0), 한국어 위키백과(CC BY-SA 4.0), 나무위키(CC BY-NC-SA 2.0 KR). 비영리 용도로만 사용.
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