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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
messages: list<item: string>
  child 0, item: string
dataset: string
total_turns: int64
scenario_type: string
transform_type: string
source_id: string
source_miss_turn_index: int64
appended_tool_name: string
tool_was_appended: bool
missing_params: list<item: string>
  child 0, item: string
target_function_name: string
miss_turn_indices: list<item: int64>
  child 0, item: int64
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 1779, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, 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 128, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, 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
              messages: list<item: string>
                child 0, item: string
              dataset: string
              total_turns: int64
              scenario_type: string
              transform_type: string
              source_id: string
              source_miss_turn_index: int64
              appended_tool_name: string
              tool_was_appended: bool
              missing_params: list<item: string>
                child 0, item: string
              target_function_name: string
              miss_turn_indices: list<item: int64>
                child 0, item: int64
              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 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1832, 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": "get_pipeline_info", "description": "取得指定專案與 pipeline 標示的 pipeline 資訊。 \nRaises: ValueError: 如果輸入參數不合法。; LookupError: 如果找不到對應的 pipeline。", "parameters": { "type": "dict", "properties": { "project_id": { "type": "integer", "description": "GitLab 專案 ID。" ...
[ { "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?", "thinking": null }, { "role": "assistant", "content": "我可以幫您更新專案的 ...
miss_param
5
[ 0 ]
[ "expire_in_days" ]
update_project_artifacts_retention
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000002
2
[ { "name": "suggest_ci_practices", "description": "就提高穩定性與減少超時提供一系列 CI 最佳實踐建議。", "parameters": { "type": "dict", "properties": { "job_name": { "type": "string", "description": "要優化的 job 名稱。" }, "current_timeout_minutes": { "type": "integer...
[ { "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。", "thinking": null }, { "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/...
miss_param
6
[]
[ "job_name", "rerun_failed_only" ]
generate_retry_and_partial_config
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000003
3
[ { "name": "fetch_unit_test_report", "description": "擷取指定建構與 stage 的單元測試報告摘要。 \nRaises: RuntimeError: 如果測試報告不存在或無法存取。", "parameters": { "type": "dict", "properties": { "project": { "type": "string", "description": "Jenkins 專案名稱。" }, "pipeline": { ...
[ { "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?", "thinking": null }, { "role": "assistant", "tool_calls": [ { "type": "function", "function": { "name": "chec...
miss_param
5
[]
[ "pipeline", "build_number" ]
fetch_unit_test_report
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000004
4
[ { "name": "search_restaurants", "description": "搜尋符合條件的可外送餐廳與菜單選項。 \nRaises: ValueError: 如果時間格式或人數參數不合法時拋出。", "parameters": { "type": "dict", "properties": { "cuisine": { "type": "string", "description": "使用者偏好的料理類型,例如 \"Thai\"(泰式)." }, "delivery_w...
[ { "role": "user", "content": "我要訂晚餐,兩人份,想在今天 19:00–19:20 送到台北市信義區虎林街12號 Apt 5F。我有折扣碼 FOOD20,可以用嗎?", "thinking": null }, { "role": "assistant", "content": "好的,我可以幫你查可配送的餐廳並檢查折扣碼。不過我還需要知道你的餐廳偏好與飲食限制(例如想吃哪種料理、是否要素食或有什麼過敏),以便搜尋符合的菜單。請告訴我料理類型(例如泰式)以及有無特殊飲食需求(例如「一份素食、另一份不要花生」)。", "thinking": "...
miss_param
5
[]
[ "member_id" ]
confirm_payment_method
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000005
5
[ { "name": "diagnose_provisioning_mismatch", "description": "分析建置日誌以判定 provisioning profile mismatch 的可能原因,並回傳可執行的修正建議。 \nRaises: ValueError: 如果 build_logs 為空字串。", "parameters": { "type": "dict", "properties": { "build_logs": { "type": "string", "description": "從失敗...
[ { "role": "user", "content": "我在 Azure DevOps 裡有個 azure-pipeline.yml 的 stage \"publish\" 失敗(release pipeline ID 402,agent pool 是 \"Hosted iOS\"),錯誤訊息顯示 provisioning profile mismatch。我想要:1) 只在 tag(像 v*.*.*)時才執行 publish stage;2) 修正簽名設定。請幫我把 pipeline 的 publish stage 加上條件並提供修正簽名的建議,該怎麼做?", "thinking": null ...
miss_param
6
[]
[ "condition_snippet", "repo" ]
update_pipeline_stage_condition
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000007
7
[ { "name": "create_modification_request", "description": "建立一個要送給店家的訂單修改請求資料結構,包含修改內容預覽與基本驗證資訊。 \nRaises: ValueError: 如果 additional_items 中數量非正整數或 payment_update 欄位缺少必要鍵。", "parameters": { "type": "dict", "properties": { "order_id": { "type": "string", "description...
[ { "role": "user", "content": "我剛在幸福便當店下了外帶訂單,取餐時間是 12:30,我想把辣度從「中辣」改成「微辣」,再加一份紅豆湯,付款改用公司卡末四碼 3321,取餐人改為「王小明」,手機維持 0955-112233。可以幫我改嗎?", "thinking": null }, { "role": "assistant", "content": "我可以幫您申請修改,但需要訂單編號才能查詢該筆訂單的最新狀態並向店家提出變更。請提供您的訂單編號(例如 ORD-4587),我就會幫您查詢並繼續處理。", "thinking": "我要call...
miss_param
5
[]
[ "order_id" ]
get_order_update
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000008
8
[ { "name": "accrue_loyalty_points", "description": "為使用者累積會員點數。", "parameters": { "type": "dict", "properties": { "user_id": { "type": "string", "description": "要累積點數的使用者識別碼。" }, "subscription_id": { "type": "string", "descriptio...
[ { "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 開始,連續 12 週,品項為「便當B-2」,付款用信用卡憑證 tok_9a7b,使用者 ID 為陳美玲,請每次送達前 12 小時發提醒。", "thinking": null }, { "role": "assistant", "content": "感謝提供大部分資訊。還缺少一個必要參數:每次訂單要累積的會員點數(points_per_order)。這個數值會決定系統在每次出貨後為您的會員帳戶新增多少點數,必須在建立訂閱時指定。請告訴我「每次訂...
miss_param
6
[ 0 ]
[ "points_per_order" ]
create_recurring_subscription
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000009
9
[ { "name": "estimate_trip_details", "description": "估算路程距離、行車時間與預估基本車資(不含促銷或常客折抵)。 \nRaises: ValueError: 如果 passengers 小於 1 或 pickup_datetime 格式不正確。", "parameters": { "type": "dict", "properties": { "pickup_address": { "type": "string", "description": "起點地址字串。" ...
[ { "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位乘客到桃園國際機場第二航廈(T2)。航班是 KL123,起飛時間 10:50。我的常客編號是 987654,想使用折扣碼 PROMO20。請幫我查有沒有加大車型可以派車。", "thinking": null }, { "role": "assistant", "content": "為了查詢並確認「加大車型(XL)」在您指定路線是否可用,我還需要兩項資訊:您預計的上車時間(請提供 ISO 8601 格式,例如 2026-03-12T07:30:00),以及您是否要指...
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取件相關資訊。 \nRaises: ValueError: 如果 pickup_time 格式不正確或 pickup_location 為空字串。", "parameters": { "type": "dict", "properties": { "case_id": { "type": "string", "description": "相關的客服案件編號。" }, ...
[ { "role": "user", "content": "今天中午在車上遺失了一支黑色 iPhone 12(序號 SN:F2X9-330),發現是乘客遺留,當時車輛編號 D-209,行程 ID T-889900。能幫我聯絡司機或發起尋物協助嗎?我已經有客服案件 CR-7788。", "thinking": null }, { "role": "assistant", "content": "為了幫您聯絡司機,我需要司機的識別碼(driver_id)。請提供司機識別碼(例如系統中的 DRV-xxxx),這樣我才能查詢司機聯絡資訊並進一步聯絡或發起尋物協助。若您不清楚 drive...
miss_param
5
[]
[ "driver_id" ]
get_driver_contact_info
miss_param
72a1ab24b75c4c82af0d92d5572fcfda_miss_param_000013
13
[ { "name": "evaluate_driver_preference", "description": "評估司機偏好與固定司機可行性(例如是否有足夠的女性司機、是否需要輪替、是否需同意書等)。 \nRaises: ValueError: 如果 preferred_gender 或 days_of_week 格式不正確。", "parameters": { "type": "dict", "properties": { "preferred_gender": { "type": "string", "descript...
[ { "role": "user", "content": "我想從下週一開始(2026-03-16),週一到週五每天早上 08:15,從屏東市和平路 12 巷 3 號出發到高雄火車站,想安排固定司機,偏好女性司機,付款用公司帳號。可以幫我設定每週的例行班次嗎?", "thinking": null }, { "role": "assistant", "content": "感謝說明大部分需求──我可以幫您建立例行班次。不過要確認能否以公司帳號付款並建立重複預訂,我需要您提供具體的企業帳號識別碼(例如 CORP-XXXX)。請提供該帳號 ID,我才能替您檢查企業合約與付款權限並繼...
miss_param
6
[]
[ "account_id" ]
check_corporate_account
miss_param
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