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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
id: string
sample_index: int64
tools: list<item: struct<name: string, description: string, parameters: struct<type: string, properties: st (... 89 chars omitted)
  child 0, item: struct<name: string, description: string, parameters: struct<type: string, properties: string, requi (... 77 chars omitted)
      child 0, name: string
      child 1, description: string
      child 2, parameters: struct<type: string, properties: string, required: list<item: string>>
          child 0, type: string
          child 1, properties: string
          child 2, required: list<item: string>
              child 0, item: string
      child 3, response: struct<type: string, properties: string>
          child 0, type: string
          child 1, properties: string
missing_function_tool: struct<name: string, description: string, parameters: struct<type: string, properties: struct<warran (... 60421 chars omitted)
  child 0, name: string
  child 1, description: string
  child 2, parameters: struct<type: string, properties: struct<warranty: struct<type: string, description: string>, product (... 25875 chars omitted)
      child 0, type: string
      child 1, properties: struct<warranty: struct<type: string, description: string>, product_ids: struct<type: string, items: (... 25811 chars omitted)
          child 0, warranty: struct<type: string, description: string>
              child 0, type: string
              child 1, description: string
          child 1, product_ids: struct<type: string, items:
...
ription: string
          child 521, meter_id: struct<type: string, description: string>
              child 0, type: string
              child 1, description: string
          child 522, duplicates: struct<type: string, items: struct<type: string, properties: struct<>>, description: string>
              child 0, type: string
              child 1, items: struct<type: string, properties: struct<>>
                  child 0, type: string
                  child 1, properties: struct<>
              child 2, description: string
          child 523, group_key: struct<type: string, description: string>
              child 0, type: string
              child 1, description: string
          child 524, records: struct<type: string, items: struct<type: string, properties: struct<>>, description: string>
              child 0, type: string
              child 1, items: struct<type: string, properties: struct<>>
                  child 0, type: string
                  child 1, properties: struct<>
              child 2, description: string
          child 525, duplicate_count: struct<type: string, description: string>
              child 0, type: string
              child 1, description: string
messages: list<item: string>
  child 0, item: string
dataset: string
total_turns: int64
miss_turn_indices: list<item: int64>
  child 0, item: int64
user_provided_function_turn: null
scenario_type: string
target_function_name: string
missing_params: list<item: string>
  child 0, item: string
to
{'id': Value('string'), 'sample_index': Value('int64'), 'tools': List({'name': Value('string'), 'description': Value('string'), 'parameters': {'type': Value('string'), 'properties': Json(decode=True), 'required': List(Value('string'))}, 'response': {'type': Value('string'), 'properties': Json(decode=True)}}), 'messages': List(Json(decode=True)), 'dataset': Value('string'), 'total_turns': Value('int64'), 'miss_turn_indices': List(Value('int64')), 'missing_params': List(Value('string')), 'target_function_name': Value('string'), 'scenario_type': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 289, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 124, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              sample_index: int64
              tools: list<item: struct<name: string, description: string, parameters: struct<type: string, properties: st (... 89 chars omitted)
                child 0, item: struct<name: string, description: string, parameters: struct<type: string, properties: string, requi (... 77 chars omitted)
                    child 0, name: string
                    child 1, description: string
                    child 2, parameters: struct<type: string, properties: string, required: list<item: string>>
                        child 0, type: string
                        child 1, properties: string
                        child 2, required: list<item: string>
                            child 0, item: string
                    child 3, response: struct<type: string, properties: string>
                        child 0, type: string
                        child 1, properties: string
              missing_function_tool: struct<name: string, description: string, parameters: struct<type: string, properties: struct<warran (... 60421 chars omitted)
                child 0, name: string
                child 1, description: string
                child 2, parameters: struct<type: string, properties: struct<warranty: struct<type: string, description: string>, product (... 25875 chars omitted)
                    child 0, type: string
                    child 1, properties: struct<warranty: struct<type: string, description: string>, product_ids: struct<type: string, items: (... 25811 chars omitted)
                        child 0, warranty: struct<type: string, description: string>
                            child 0, type: string
                            child 1, description: string
                        child 1, product_ids: struct<type: string, items:
              ...
              ription: string
                        child 521, meter_id: struct<type: string, description: string>
                            child 0, type: string
                            child 1, description: string
                        child 522, duplicates: struct<type: string, items: struct<type: string, properties: struct<>>, description: string>
                            child 0, type: string
                            child 1, items: struct<type: string, properties: struct<>>
                                child 0, type: string
                                child 1, properties: struct<>
                            child 2, description: string
                        child 523, group_key: struct<type: string, description: string>
                            child 0, type: string
                            child 1, description: string
                        child 524, records: struct<type: string, items: struct<type: string, properties: struct<>>, description: string>
                            child 0, type: string
                            child 1, items: struct<type: string, properties: struct<>>
                                child 0, type: string
                                child 1, properties: struct<>
                            child 2, description: string
                        child 525, duplicate_count: struct<type: string, description: string>
                            child 0, type: string
                            child 1, description: string
              messages: list<item: string>
                child 0, item: string
              dataset: string
              total_turns: int64
              miss_turn_indices: list<item: int64>
                child 0, item: int64
              user_provided_function_turn: null
              scenario_type: string
              target_function_name: string
              missing_params: list<item: string>
                child 0, item: string
              to
              {'id': Value('string'), 'sample_index': Value('int64'), 'tools': List({'name': Value('string'), 'description': Value('string'), 'parameters': {'type': Value('string'), 'properties': Json(decode=True), 'required': List(Value('string'))}, 'response': {'type': Value('string'), 'properties': Json(decode=True)}}), 'messages': List(Json(decode=True)), 'dataset': Value('string'), 'total_turns': Value('int64'), 'miss_turn_indices': List(Value('int64')), 'missing_params': List(Value('string')), 'target_function_name': Value('string'), 'scenario_type': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1922, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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id
string
sample_index
int64
tools
list
messages
list
dataset
string
total_turns
int64
miss_turn_indices
list
missing_params
list
target_function_name
string
scenario_type
string
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000000
0
[ { "name": "create_support_ticket", "description": "建立支援工單以追蹤遷移相關問題。 \nRaises: ValueError: 如果 priority 非允許值。", "parameters": { "type": "dict", "properties": { "client_id": { "type": "integer", "description": "要建立工單的客戶識別碼。" }, "title": { "t...
[ { "role": "user", "content": "我們的 GitLab CI 定期夜間構建會清除工件。專案 ID 是 56,最近的 pipeline 標示為 20230315-01,job \"docker-build\" 無法上傳 image tag v1.2.0 到 registry.corp.local,錯誤顯示 \"artifact expired\"。我想調整 artifacts 的保留天數並重新啟動該 job,該怎麼做?" }, { "role": "assistant", "content": "我可以幫您更新專案的 artifacts 預設保留天數並重試該 j...
miss_param
5
[ 0 ]
[ "expire_in_days" ]
update_project_artifacts_retention
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000002
2
[ { "name": "place_order", "description": "向餐廳下單並回傳訂單確認資訊。 功能說明:提交訂單給餐廳系統(模擬)並回傳是否成功、預計備餐時間與付款狀態。 \nRaises: RuntimeError: 如果餐廳無法接受訂單或系統下單失敗.", "parameters": { "type": "dict", "properties": { "order_id": { "type": "string", "description": "已產生的訂單編號(例如 Order-20260420-...
[ { "role": "user", "content": "我想在 .circleci/config.yml 加入自動重試與重跑失敗測試的策略,以改善 integration workflow 的不穩定性。請幫我產生範例片段;我希望預設自動重試次數為 2 次。謝謝。" }, { "role": "assistant", "content": "為了產生正確且可套用到您的 job 的範例,我需要兩個額外資訊:1) 您要套用此策略的 job 名稱(job_name),以及 2) 是否只重跑失敗的測試(rerun_failed_only,true/false)。我需要這兩個參數來決定範例中要...
miss_param
6
[]
[ "job_name", "rerun_failed_only" ]
generate_retry_and_partial_config
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000003
3
[ { "name": "get_paper_metadata", "description": "取得單篇論文的詳細書目資訊與影響力指標摘要。 \nRaises: ValueError: 如果 paper_id 格式不正確。", "parameters": { "type": "dict", "properties": { "paper_id": { "type": "string", "description": "論文識別碼或會議系統的 ID。" } }, "required": ...
[ { "role": "user", "content": "我想先檢查一下 microservice-order 專案中 commit abc1234(分支 feature/checkout-42)最近的變更,看看這個 commit 是否有修改到可能會影響單元測試的檔案或測試,能幫我做風險評估嗎?" }, { "role": "assistant", "tool_calls": [ { "type": "function", "function": { "name": "check_recent_commits_affec...
miss_param
5
[]
[ "pipeline", "build_number" ]
fetch_unit_test_report
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000004
4
[{"name":"check_delivery_availability","description":"檢查指定餐廳在特定地址與時段的(...TRUNCATED)
[{"role":"user","content":"我要訂晚餐,兩人份,想在今天 19:00–19:20 送到台北市(...TRUNCATED)
miss_param
5
[]
[ "member_id" ]
confirm_payment_method
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000005
5
[{"name":"send_message_to_user","description":"發送系統或客服訊息給使用者,詢問或(...TRUNCATED)
[{"role":"user","content":"我在 Azure DevOps 裡有個 azure-pipeline.yml 的 stage \"publish\" (...TRUNCATED)
miss_param
6
[]
[ "condition_snippet", "repo" ]
update_pipeline_stage_condition
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000007
7
[{"name":"list_influencing_parameters","description":"列出會影響升級金額計算的所有參(...TRUNCATED)
[{"role":"user","content":"我剛在幸福便當店下了外帶訂單,取餐時間是 12:30,我(...TRUNCATED)
miss_param
5
[]
[ "order_id" ]
get_order_update
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000008
8
[{"name":"test_certbot_dry_run","description":"在指定主機上以 certbot 的 --dry-run 模式測(...TRUNCATED)
[{"role":"user","content":"我要設定每週一中午 11:45 的定期便當訂閱,從 2026-03-23 (...TRUNCATED)
miss_param
6
[ 0 ]
[ "points_per_order" ]
create_recurring_subscription
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000009
9
[{"name":"check_last_backup","description":"檢查指定備份檔案是否存在,並評估是否(...TRUNCATED)
[{"role":"user","content":"我需要從台北市信義區忠孝東路5段100號出發,送6位乘(...TRUNCATED)
miss_param
5
[]
[ "pickup_datetime", "vehicle_type" ]
check_vehicle_type_availability
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000011
11
[{"name":"schedule_pickup","description":"為使用者安排遺失物取回時間與地點並回傳(...TRUNCATED)
[{"role":"user","content":"今天中午在車上遺失了一支黑色 iPhone 12(序號 SN:F2X9-330(...TRUNCATED)
miss_param
5
[]
[ "driver_id" ]
get_driver_contact_info
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000013
13
[{"name":"compute_recent_movements","description":"計算最近 N 天(預設 30 天)的庫存異(...TRUNCATED)
[{"role":"user","content":"我想從下週一開始(2026-03-16),週一到週五每天早上 08(...TRUNCATED)
miss_param
6
[]
[ "account_id" ]
check_corporate_account
miss_param
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