Datasets:
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
id: string
sub: string
text: string
items: list<item: struct<kind: string, slot: string, thing: string, value: list<item: int64>, polarity: str (... 5 chars omitted)
child 0, item: struct<kind: string, slot: string, thing: string, value: list<item: int64>, polarity: string>
child 0, kind: string
child 1, slot: string
child 2, thing: string
child 3, value: list<item: int64>
child 0, item: int64
child 4, polarity: string
hard: bool
files: struct<MANIFEST.json: string, README.md: string, RULES.md: string, bench.jsonl: string, run_baseline (... 55 chars omitted)
child 0, MANIFEST.json: string
child 1, README.md: string
child 2, RULES.md: string
child 3, bench.jsonl: string
child 4, run_baseline.py: string
child 5, score.py: string
child 6, external_wos.py: string
disjoint_from: list<item: string>
child 0, item: string
baseline_note: string
positive: int64
sha256: string
rows: int64
name: string
negative: int64
surface_wobbled: int64
version: string
note: string
splits: struct<1_conformance: struct<file: string, rows: int64, our_f1: double, note: string>, 2_transfer: s (... 155 chars omitted)
child 0, 1_conformance: struct<file: string, rows: int64, our_f1: double, note: string>
child 0, file: string
child 1, rows: int64
child 2, our_f1: double
child 3, note: string
child 1, 2_transfer: struct<builder: string, source: string, rows: int64, values: int64, subset_sha256: string, our_f1: d (... 55 chars omitted)
child 0, builder: string
child 1, source: string
child 2, rows: int64
child 3, values: int64
child 4, subset_sha256: string
child 5, our_f1: double
child 6, precision: double
child 7, recall: double
child 8, note: string
seed: int64
made_by: string
blocked_on_overlap: int64
to
{'name': Value('string'), 'version': Value('string'), 'rows': Value('int64'), 'positive': Value('int64'), 'negative': Value('int64'), 'seed': Value('int64'), 'sha256': Value('string'), 'made_by': Value('string'), 'disjoint_from': List(Value('string')), 'blocked_on_overlap': Value('int64'), 'surface_wobbled': Value('int64'), 'note': Value('string'), 'baseline_note': Value('string'), 'files': {'MANIFEST.json': Value('string'), 'README.md': Value('string'), 'RULES.md': Value('string'), 'bench.jsonl': Value('string'), 'run_baseline.py': Value('string'), 'score.py': Value('string'), 'external_wos.py': Value('string')}, 'splits': {'1_conformance': {'file': Value('string'), 'rows': Value('int64'), 'our_f1': Value('float64'), 'note': Value('string')}, '2_transfer': {'builder': Value('string'), 'source': Value('string'), 'rows': Value('int64'), 'values': Value('int64'), 'subset_sha256': Value('string'), 'our_f1': Value('float64'), 'precision': Value('float64'), 'recall': Value('float64'), 'note': Value('string')}}}
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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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
id: string
sub: string
text: string
items: list<item: struct<kind: string, slot: string, thing: string, value: list<item: int64>, polarity: str (... 5 chars omitted)
child 0, item: struct<kind: string, slot: string, thing: string, value: list<item: int64>, polarity: string>
child 0, kind: string
child 1, slot: string
child 2, thing: string
child 3, value: list<item: int64>
child 0, item: int64
child 4, polarity: string
hard: bool
files: struct<MANIFEST.json: string, README.md: string, RULES.md: string, bench.jsonl: string, run_baseline (... 55 chars omitted)
child 0, MANIFEST.json: string
child 1, README.md: string
child 2, RULES.md: string
child 3, bench.jsonl: string
child 4, run_baseline.py: string
child 5, score.py: string
child 6, external_wos.py: string
disjoint_from: list<item: string>
child 0, item: string
baseline_note: string
positive: int64
sha256: string
rows: int64
name: string
negative: int64
surface_wobbled: int64
version: string
note: string
splits: struct<1_conformance: struct<file: string, rows: int64, our_f1: double, note: string>, 2_transfer: s (... 155 chars omitted)
child 0, 1_conformance: struct<file: string, rows: int64, our_f1: double, note: string>
child 0, file: string
child 1, rows: int64
child 2, our_f1: double
child 3, note: string
child 1, 2_transfer: struct<builder: string, source: string, rows: int64, values: int64, subset_sha256: string, our_f1: d (... 55 chars omitted)
child 0, builder: string
child 1, source: string
child 2, rows: int64
child 3, values: int64
child 4, subset_sha256: string
child 5, our_f1: double
child 6, precision: double
child 7, recall: double
child 8, note: string
seed: int64
made_by: string
blocked_on_overlap: int64
to
{'name': Value('string'), 'version': Value('string'), 'rows': Value('int64'), 'positive': Value('int64'), 'negative': Value('int64'), 'seed': Value('int64'), 'sha256': Value('string'), 'made_by': Value('string'), 'disjoint_from': List(Value('string')), 'blocked_on_overlap': Value('int64'), 'surface_wobbled': Value('int64'), 'note': Value('string'), 'baseline_note': Value('string'), 'files': {'MANIFEST.json': Value('string'), 'README.md': Value('string'), 'RULES.md': Value('string'), 'bench.jsonl': Value('string'), 'run_baseline.py': Value('string'), 'score.py': Value('string'), 'external_wos.py': Value('string')}, 'splits': {'1_conformance': {'file': Value('string'), 'rows': Value('int64'), 'our_f1': Value('float64'), 'note': Value('string')}, '2_transfer': {'builder': Value('string'), 'source': Value('string'), 'rows': Value('int64'), 'values': Value('int64'), 'subset_sha256': Value('string'), 'our_f1': Value('float64'), 'precision': Value('float64'), 'recall': Value('float64'), 'note': Value('string')}}}
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.
elda-memory-bench-ko — 한국어 대화 기억 규칙준수 벤치 (우리가 만든 것)
발화 한 턴에서 사용자가 자기에 대해 말한 것을 규칙대로 집어내는지 재는 벤치입니다. 424줄 (양성 272 · 음성 152).
⛔⛔ 이것은 능력 증거가 아닙니다 — 규칙 준수 측정입니다
셋이 **우리 분포**다(우리 규칙 기반 생성기가 찍었다) ⇒ 우리 모델이 F1 **1.0000** 을 낸다
⇒ 「잘한다」가 아니라 **「우리가 정한 규칙을 지킨다」**는 뜻이다
★ 남의 모델을 이 셋으로 줄 세우지 마십시오. 규칙을 설명한 뒤 그 규칙을 지키는지 보는 자입니다. 일반화 능력을 보려면 도메인 밖 셋(예: KLUE-WoS)을 쓰십시오.
오염 방지 — 무엇과 겹치지 않는지 적어 두었습니다
MANIFEST.json 에 sha256 과 함께:
disjoint_from 내부 오독 탐침 v1~v5 · 동결 골드(실턴·합성) · 평가·고르기 집합
· 학습셋 synth_v0_7 · synth_v0_8_10
blocked_on_overlap 1,613 ← 겹쳐서 **버린** 줄 수
surface_wobbled 75
⛔ 학습에 쓰라고 낸 것이 아닙니다. 오염되면 같은 규칙으로 다시 찍습니다.
라이선스
우리가 만든 것이고 CC BY 4.0 으로 냅니다 — 남의 자료가 섞여 있지 않습니다.
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