Dataset Viewer

Split (1)

train

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:    TypeError
Message:      Couldn't cast array of type struct<table: string, field: string, old_value: null, new_value: string, description: string> to null
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 2312, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2118, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2068, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                  ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2118, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2152, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2016, in array_cast
                  raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
              TypeError: Couldn't cast array of type struct<table: string, field: string, old_value: null, new_value: string, description: string> to null

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

STG 合成工具使用数据集：25 环境 / 500 任务

由 STG（Synthetic Task Generation）管线以 Pi agent 引擎（--engine pi）合成：每个 seed 描述一个业务场景，Pi 会话（deepseek-v4-flash + stg-synthesize skill）自主完成「环境生成 → verify CLI 自验修复 → 任务生成 → 自验修复」，编排器终验 + 去重后落盘。全部产物双闸门验证通过（Pi 自验与编排器终验零分歧）。

规模

环境：25 个（envs/，每个含 EnvironmentDef JSON + 可执行 SQLite 库）
任务：500 个（tasks/，每个含中文描述、ground-truth solution、声明式验收 check）
业务域：11 个——airline, banking, delivery, gaming, instore, ota, pet, retail, shared, telecom, ticketing

seeds/

51 个场景种子（合成输入，YAML）：业务域描述、实体、软约束维度、任务类型与难度偏好。下游可用同样的 stg 管线（--engine pi）基于这些 seed 继续合成新环境与任务。

结构

envs/
  env_seed_<domain>_<NNN>.json   # EnvironmentDef：schema/样本数据/工具定义
  env_seed_<domain>_<NNN>.db     # 建好库的 SQLite（可直接执行工具/验收）
tasks/
  env_seed_<domain>_<NNN>_NN.json  # TaskDef（见下），env_id 指向 envs/

任务格式（TaskDef）

description：中文自然语言用户请求（不含工具名/表名/编号）
task_type：create | modify | query | refusal（拒绝类 core/bonus/solution 为空）
difficulty：easy | medium | hard | extreme
acceptance：core（必须达成）+ bonus（软约束加分）声明式 check，五种 kind：row_state / row_exists / row_absent / aggregate / predicate
solution：正确完成全部子目标的工具调用序列（read 穿插 write，搜索对比行为按难度阶梯强制）

分布

任务类型：{'create': 125, 'modify': 125, 'query': 125, 'refusal': 125}

难度：{'easy': 75, 'extreme': 75, 'hard': 175, 'medium': 175}

每域任务数：{'airline': 60, 'banking': 60, 'delivery': 80, 'gaming': 20, 'instore': 60, 'ota': 60, 'pet': 40, 'retail': 40, 'shared': 20, 'telecom': 40, 'ticketing': 20}

合成方式

STG 管线：https://github.com/Lin-Jiong-HDU/stg（--engine pi 分支）。环境可在 SQLite 上直接执行（工具由 db_operations + preconditions/effects 声明），验收 check 可由 stg 的 evaluator（src/stg/verifiers/）直接计算 reward——生成与消费共享同一套验证器。

Downloads last month: 349

Total file size:

2.51 MB