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