The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
query_id: string
answer: string
criteria: list<item: string>
child 0, item: string
evidence: null
to
{'query_id': Value('string'), 'evidence': List(Json(decode=True))}
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
query_id: string
answer: string
criteria: list<item: string>
child 0, item: string
evidence: null
to
{'query_id': Value('string'), 'evidence': List(Json(decode=True))}
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.
Search-SWE task development inputs
Temporary public development inputs for one Search-SWE task submission. They are staged here so the submission manifest can pin an immutable revision while the task is under review. This is not a permanent official dataset path.
Contents
development/task-1-x-1/history.jsonl— the meeting transcripts the task usesdevelopment/task-1-x-1/validation/queries.jsonl— public development questionsdevelopment/task-1-x-1/validation/golden_answers.jsonl— public reference answers and required factual pointsdevelopment/task-1-x-1/validation/evidence.jsonl— transcript excerpts supporting the public answers
Source and licence
Derived from the ICSI Meeting Corpus (https://groups.inf.ed.ac.uk/ami/icsi/),
released under the Creative Commons Attribution 4.0 licence (CC BY 4.0). The
licence text is included here as ICSI_LICENSE.html.
Please cite: A. Janin, D. Baron, J. Edwards, D. Ellis, D. Gelbart, N. Morgan, B. Peskin, T. Pfau, E. Shriberg, A. Stolcke, C. Wooters, The ICSI Meeting Corpus, ICASSP 2003.
Provenance and processing
A cleaned subset of 67 meetings from the Bmr, Bro, and Bed series: 53,600 utterances, 12,155,329 bytes of UTF-8 dialogue text counting one newline per utterance. Speaker identifiers are normalised. Transcription artefacts such as interruption markers, fillers, and explicit uncertainty annotations are preserved.
The 30 public question-answer labels in validation/ were authored for this
benchmark from the same transcripts and are not original ICSI annotations. A
disjoint set of hidden questions and labels is used for evaluation and is not
part of this dataset.
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