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
case_id: string
query: string
operation: string
scene: string
clarity_level: string
constraints: list<item: struct<constraint_id: string, text: string, type: string, value: string, priority: string (... 24 chars omitted)
child 0, item: struct<constraint_id: string, text: string, type: string, value: string, priority: string, checkabil (... 12 chars omitted)
child 0, constraint_id: string
child 1, text: string
child 2, type: string
child 3, value: string
child 4, priority: string
child 5, checkability: string
expected_deliverables: list<item: string>
child 0, item: string
evaluation_tags: list<item: string>
child 0, item: string
fact_ids: list<item: string>
child 0, item: string
gold: null
known_error: null
error_type: string
to
{'case_id': Value('string'), 'gold': {'constraint_status': Json(decode=True), 'deliverables_present': List(Value('string')), 'case_usable': Value('bool')}, 'known_error': {'constraint_status': Json(decode=True), 'deliverables_present': List(Value('string')), 'case_usable': Value('bool')}, 'error_type': 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
case_id: string
query: string
operation: string
scene: string
clarity_level: string
constraints: list<item: struct<constraint_id: string, text: string, type: string, value: string, priority: string (... 24 chars omitted)
child 0, item: struct<constraint_id: string, text: string, type: string, value: string, priority: string, checkabil (... 12 chars omitted)
child 0, constraint_id: string
child 1, text: string
child 2, type: string
child 3, value: string
child 4, priority: string
child 5, checkability: string
expected_deliverables: list<item: string>
child 0, item: string
evaluation_tags: list<item: string>
child 0, item: string
fact_ids: list<item: string>
child 0, item: string
gold: null
known_error: null
error_type: string
to
{'case_id': Value('string'), 'gold': {'constraint_status': Json(decode=True), 'deliverables_present': List(Value('string')), 'case_usable': Value('bool')}, 'known_error': {'constraint_status': Json(decode=True), 'deliverables_present': List(Value('string')), 'case_usable': Value('bool')}, 'error_type': 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.
TravelAgentBench Dataset
TravelAgentBench 是面向旅行规划 Agent 的约束、事实、可执行性和交付质量评测数据集。
v0.3 数据组成
data/cases.jsonl：60 条互不重复的旅行任务，覆盖路线、比较、攻略、家庭出行、预算、返程、季节、模糊需求和行程修改。data/facts.jsonl：120 条合成事实，每条 Case 引用 2 条。data/annotations.jsonl：60 对可行/已知错误结构化标注，用于验证评测器链路。
字段
Case 包含 case_id、query、operation、scene、clarity_level、constraints、expected_deliverables、evaluation_tags 和 fact_ids。约束包含具体值、优先级和可检查性。
重要限制
所有事实均为合成世界，不能用于现实导航、订票或安全决策。标注对是链路验证样本，不是多人校准 Gold 集，也不提供模型排名。60 条任务按 12 个任务家族各 5 个参数变体生成，后续版本会继续增加非模板化任务和人工复核记录。
与 GitHub 的关系
代码、评测协议、Schema 和运行说明见 GitHub 仓库。
许可证
数据、代码和文档采用 MIT License。
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