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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
format: string
metadata: struct<task_id: string, task_name: string, trace_id: string, model: string, persona: string, source_ (... 361 chars omitted)
  child 0, task_id: string
  child 1, task_name: string
  child 2, trace_id: string
  child 3, model: string
  child 4, persona: string
  child 5, source_trace: string
  child 6, selection: string
  child 7, system_prompt_source: string
  child 8, tool_schemas_source: string
  child 9, grading_result: struct<passed: bool, task_score: double, scores: struct<completion: double, robustness: double, comm (... 151 chars omitted)
      child 0, passed: bool
      child 1, task_score: double
      child 2, scores: struct<completion: double, robustness: double, communication: double, safety: double, efficiency_tur (... 68 chars omitted)
          child 0, completion: double
          child 1, robustness: double
          child 2, communication: double
          child 3, safety: double
          child 4, efficiency_turns: int64
          child 5, efficiency_tokens: int64
          child 6, efficiency_wall_time_s: double
      child 3, failure_modes: list<item: null>
          child 0, item: null
tools: list<item: struct<type: string, function: struct<name: string, description: string, parameters: stru (... 5043 chars omitted)
  child 0, item: struct<type: string, function: struct<name: string, description: string, parameters: struct<type: st (... 5031 chars omitted)
      child 0, type: string
      child 1, function: struct<name: string
...
          child 1, description: string
                  child 81, name: struct<type: string, description: string>
                      child 0, type: string
                      child 1, description: string
                  child 82, cron_expression: struct<type: string, description: string>
                      child 0, type: string
                      child 1, description: string
                  child 83, action: struct<type: string, description: string>
                      child 0, type: string
                      child 1, description: string
                  child 84, image_path: struct<type: string, description: string>
                      child 0, type: string
                      child 1, description: string
                  child 85, max_pages: struct<type: string, description: string>
                      child 0, type: string
                      child 1, description: string
              child 2, required: list<item: string>
                  child 0, item: string
messages: list<item: struct<role: string, content: string, name: string, is_error: bool>>
  child 0, item: struct<role: string, content: string, name: string, is_error: bool>
      child 0, role: string
      child 1, content: string
      child 2, name: string
      child 3, is_error: bool
system: string
conversations: list<item: struct<from: string, value: string>>
  child 0, item: struct<from: string, value: string>
      child 0, from: string
      child 1, value: string
id: string
to
{'id': Value('string'), 'conversations': List({'from': Value('string'), 'value': Value('string')}), 'system': Value('string'), 'tools': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                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
              format: string
              metadata: struct<task_id: string, task_name: string, trace_id: string, model: string, persona: string, source_ (... 361 chars omitted)
                child 0, task_id: string
                child 1, task_name: string
                child 2, trace_id: string
                child 3, model: string
                child 4, persona: string
                child 5, source_trace: string
                child 6, selection: string
                child 7, system_prompt_source: string
                child 8, tool_schemas_source: string
                child 9, grading_result: struct<passed: bool, task_score: double, scores: struct<completion: double, robustness: double, comm (... 151 chars omitted)
                    child 0, passed: bool
                    child 1, task_score: double
                    child 2, scores: struct<completion: double, robustness: double, communication: double, safety: double, efficiency_tur (... 68 chars omitted)
                        child 0, completion: double
                        child 1, robustness: double
                        child 2, communication: double
                        child 3, safety: double
                        child 4, efficiency_turns: int64
                        child 5, efficiency_tokens: int64
                        child 6, efficiency_wall_time_s: double
                    child 3, failure_modes: list<item: null>
                        child 0, item: null
              tools: list<item: struct<type: string, function: struct<name: string, description: string, parameters: stru (... 5043 chars omitted)
                child 0, item: struct<type: string, function: struct<name: string, description: string, parameters: struct<type: st (... 5031 chars omitted)
                    child 0, type: string
                    child 1, function: struct<name: string
              ...
                        child 1, description: string
                                child 81, name: struct<type: string, description: string>
                                    child 0, type: string
                                    child 1, description: string
                                child 82, cron_expression: struct<type: string, description: string>
                                    child 0, type: string
                                    child 1, description: string
                                child 83, action: struct<type: string, description: string>
                                    child 0, type: string
                                    child 1, description: string
                                child 84, image_path: struct<type: string, description: string>
                                    child 0, type: string
                                    child 1, description: string
                                child 85, max_pages: struct<type: string, description: string>
                                    child 0, type: string
                                    child 1, description: string
                            child 2, required: list<item: string>
                                child 0, item: string
              messages: list<item: struct<role: string, content: string, name: string, is_error: bool>>
                child 0, item: struct<role: string, content: string, name: string, is_error: bool>
                    child 0, role: string
                    child 1, content: string
                    child 2, name: string
                    child 3, is_error: bool
              system: string
              conversations: list<item: struct<from: string, value: string>>
                child 0, item: struct<from: string, value: string>
                    child 0, from: string
                    child 1, value: string
              id: string
              to
              {'id': Value('string'), 'conversations': List({'from': Value('string'), 'value': Value('string')}), 'system': Value('string'), 'tools': 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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, 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
conversations
list
system
string
tools
string
id_claweval_1_deepseek_v4_flash_0731
[ { "from": "human", "value": "Sort my inbox — which emails need a reply, which are notifications, and which are spam?" }, { "from": "function_call", "value": "<think>The user wants me to sort their inbox. Let me fetch the emails first.</think>\n\nI'll fetch your inbox to sort through the emails.\...
[{"type": "function", "function": {"name": "gmail_list_messages", "description": "Get the list of messages in the inbox", "parameters": {"type": "object", "properties": {"days_back": {"type": "integer", "description": "Number of recent days to fetch emails from", "default": 7}, "max_results": {"type": "integer", "descr...
id_claweval_1_deepseek_v4_flash_0731
[ { "from": "human", "value": "Sort my inbox — which emails need a reply, which are notifications, and which are spam?" }, { "from": "function_call", "value": "<think>The user wants me to sort their inbox. Let me fetch the messages first.</think>\n\nI'll fetch your inbox to sort through the emails...
[{"type": "function", "function": {"name": "gmail_list_messages", "description": "Get the list of messages in the inbox", "parameters": {"type": "object", "properties": {"days_back": {"type": "integer", "description": "Number of recent days to fetch emails from", "default": 7}, "max_results": {"type": "integer", "descr...
id_claweval_1_deepseek_v4_flash_0731
[ { "from": "human", "value": "Sort my inbox — which emails need a reply, which are notifications, and which are spam?" }, { "from": "function_call", "value": "<think>The user wants me to sort their inbox. Let me fetch the emails first.</think>\n\nI'll start by fetching your recent emails to sort ...
[{"type": "function", "function": {"name": "gmail_list_messages", "description": "Get the list of messages in the inbox", "parameters": {"type": "object", "properties": {"days_back": {"type": "integer", "description": "Number of recent days to fetch emails from", "default": 7}, "max_results": {"type": "integer", "descr...
id_claweval_3_deepseek_v4_flash_0731
[ { "from": "human", "value": "Schedule a project sync with Mike and Sarah on 2026-03-02 (Monday), ~1 hour, find a free slot." }, { "from": "function_call", "value": "<think>The user wants me to schedule a project sync with Mike and Sarah on 2026-03-02 (Monday), ~1 hour, find a free slot. I need t...
[{"type": "function", "function": {"name": "calendar_list_events", "description": "Get calendar events within a specified date range", "parameters": {"type": "object", "properties": {"date": {"type": "string", "description": "Query date (YYYY-MM-DD)"}, "days": {"type": "integer", "description": "Number of days to query...
id_claweval_3_deepseek_v4_flash_0731
[ { "from": "human", "value": "Schedule a project sync with Mike and Sarah on 2026-03-02 (Monday), ~1 hour, find a free slot." }, { "from": "function_call", "value": "<think>The user wants me to schedule a project sync with Mike and Sarah on 2026-03-02 (Monday), about 1 hour, finding a free slot. ...
[{"type": "function", "function": {"name": "calendar_list_events", "description": "Get calendar events within a specified date range", "parameters": {"type": "object", "properties": {"date": {"type": "string", "description": "Query date (YYYY-MM-DD)"}, "days": {"type": "integer", "description": "Number of days to query...
id_claweval_3_deepseek_v4_flash_0731
[ { "from": "human", "value": "Schedule a project sync with Mike and Sarah on 2026-03-02 (Monday), ~1 hour, find a free slot." }, { "from": "function_call", "value": "<think>The user wants me to schedule a project sync with Mike and Sarah on 2026-03-02 (Monday), about 1 hour, finding a free slot. ...
[{"type": "function", "function": {"name": "calendar_list_events", "description": "Get calendar events within a specified date range", "parameters": {"type": "object", "properties": {"date": {"type": "string", "description": "Query date (YYYY-MM-DD)"}, "days": {"type": "integer", "description": "Number of days to query...
id_claweval_4_deepseek_v4_flash_0731
[ { "from": "human", "value": "看看收件箱有什么重要邮件要回的,帮我起草好存草稿就行。" }, { "from": "function_call", "value": "<think>Let me check the inbox for important emails.</think>\n\n<tool_call>{\"name\": \"gmail_list_messages\", \"arguments\": {\"days_back\": 7, \"max_results\": 20}}</tool_call>" }, { "from"...
[{"type": "function", "function": {"name": "gmail_list_messages", "description": "获取收件箱中的邮件列表", "parameters": {"type": "object", "properties": {"days_back": {"type": "integer", "description": "获取最近几天的邮件", "default": 7}, "max_results": {"type": "integer", "description": "最大返回数量", "default": 20}}, "required": []}}}, {"ty...
id_claweval_4_deepseek_v4_flash_0731
[ { "from": "human", "value": "看看收件箱有什么重要邮件要回的,帮我起草好存草稿就行。" }, { "from": "function_call", "value": "<think>Let me check the inbox for important emails that need replies.</think>\n\n<tool_call>{\"name\": \"gmail_list_messages\", \"arguments\": {\"days_back\": 7}}</tool_call>" }, { "from": "...
[{"type": "function", "function": {"name": "gmail_list_messages", "description": "获取收件箱中的邮件列表", "parameters": {"type": "object", "properties": {"days_back": {"type": "integer", "description": "获取最近几天的邮件", "default": 7}, "max_results": {"type": "integer", "description": "最大返回数量", "default": 20}}, "required": []}}}, {"ty...
id_claweval_4_deepseek_v4_flash_0731
[ { "from": "human", "value": "看看收件箱有什么重要邮件要回的,帮我起草好存草稿就行。" }, { "from": "function_call", "value": "<think>The user wants me to check the inbox for important emails to reply to, and draft replies (save as drafts, not send). Let me list messages.</think>\n\n<tool_call>{\"name\": \"gmail_list_messag...
[{"type": "function", "function": {"name": "gmail_list_messages", "description": "获取收件箱中的邮件列表", "parameters": {"type": "object", "properties": {"days_back": {"type": "integer", "description": "获取最近几天的邮件", "default": 7}, "max_results": {"type": "integer", "description": "最大返回数量", "default": 20}}, "required": []}}}, {"ty...
id_claweval_6_deepseek_v4_flash_0731
[ { "from": "human", "value": "帮我整理一下待办,重复的合并掉(请用标记完成的方式合并,不要删除任何待办项),过期的标记一下。" }, { "from": "function_call", "value": "<think>Let me look at the todo list first.</think>\n\n<tool_call>{\"name\": \"todo_list_tasks\", \"arguments\": {}}</tool_call>" }, { "from": "observation", "value": ...
[{"type": "function", "function": {"name": "todo_list_tasks", "description": "获取所有待办事项", "parameters": {"type": "object", "properties": {"status": {"type": "string", "description": "按状态筛选 (pending/completed/all)", "default": "all"}}, "required": []}}}, {"type": "function", "function": {"name": "todo_update_task", "desc...
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