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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
timestamp: string
ordinal: int64
type: string
payload: struct<type: string, thread_id: string, turn_id: string, item: struct<type: string, id: string, tool (... 5622 chars omitted)
child 0, type: string
child 1, thread_id: string
child 2, turn_id: string
child 3, item: struct<type: string, id: string, tool: string, arguments: struct<position: list<item: double>, quate (... 382 chars omitted)
child 0, type: string
child 1, id: string
child 2, tool: string
child 3, arguments: struct<position: list<item: double>, quaternion: list<item: double>, gripper: int64, steps: int64>
child 0, position: list<item: double>
child 0, item: double
child 1, quaternion: list<item: double>
child 0, item: double
child 2, gripper: int64
child 3, steps: int64
child 4, status: string
child 5, content_items: list<item: struct<type: string, text: string, imageUrl: string>>
child 0, item: struct<type: string, text: string, imageUrl: string>
child 0, type: string
child 1, text: string
child 2, imageUrl: string
child 6, success: bool
child 7, duration: struct<secs: int64, nanos: int64>
child 0, secs: int64
child 1, nanos: int64
child 8, content: list<item: struct<type: string, text: string, text_elements: list<item: null>>>
child 0, item: struct<type: string, text: string, text_elements: list<item
...
child 2, cache_write_input_tokens: int64
child 3, output_tokens: int64
child 4, reasoning_output_tokens: int64
child 5, total_tokens: int64
child 2, model_context_window: int64
child 60, rate_limits: struct<limit_id: string, limit_name: null, primary: null, secondary: null, credits: null, individual (... 90 chars omitted)
child 0, limit_id: string
child 1, limit_name: null
child 2, primary: null
child 3, secondary: null
child 4, credits: null
child 5, individual_limit: null
child 6, spend_control_reached: null
child 7, plan_type: null
child 8, rate_limit_reached_type: null
child 61, encrypted_content: string
child 62, arguments: string
event: null
metadata: struct<client_authored: bool, mcp_attribution: struct<status: string>, retained_source: struct<id: s (... 155 chars omitted)
child 0, client_authored: bool
child 1, mcp_attribution: struct<status: string>
child 0, status: string
child 2, retained_source: struct<id: struct<message_id: string, turn_id: string, role: string>, revision: string, complete: bo (... 3 chars omitted)
child 0, id: struct<message_id: string, turn_id: string, role: string>
child 0, message_id: string
child 1, turn_id: string
child 2, role: string
child 1, revision: string
child 2, complete: bool
child 3, user_input_order: int64
child 4, fallback_token_limit_override: int64
direction: string
to
{'direction': Value('string'), 'event': Json(decode=True)}
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
timestamp: string
ordinal: int64
type: string
payload: struct<type: string, thread_id: string, turn_id: string, item: struct<type: string, id: string, tool (... 5622 chars omitted)
child 0, type: string
child 1, thread_id: string
child 2, turn_id: string
child 3, item: struct<type: string, id: string, tool: string, arguments: struct<position: list<item: double>, quate (... 382 chars omitted)
child 0, type: string
child 1, id: string
child 2, tool: string
child 3, arguments: struct<position: list<item: double>, quaternion: list<item: double>, gripper: int64, steps: int64>
child 0, position: list<item: double>
child 0, item: double
child 1, quaternion: list<item: double>
child 0, item: double
child 2, gripper: int64
child 3, steps: int64
child 4, status: string
child 5, content_items: list<item: struct<type: string, text: string, imageUrl: string>>
child 0, item: struct<type: string, text: string, imageUrl: string>
child 0, type: string
child 1, text: string
child 2, imageUrl: string
child 6, success: bool
child 7, duration: struct<secs: int64, nanos: int64>
child 0, secs: int64
child 1, nanos: int64
child 8, content: list<item: struct<type: string, text: string, text_elements: list<item: null>>>
child 0, item: struct<type: string, text: string, text_elements: list<item
...
child 2, cache_write_input_tokens: int64
child 3, output_tokens: int64
child 4, reasoning_output_tokens: int64
child 5, total_tokens: int64
child 2, model_context_window: int64
child 60, rate_limits: struct<limit_id: string, limit_name: null, primary: null, secondary: null, credits: null, individual (... 90 chars omitted)
child 0, limit_id: string
child 1, limit_name: null
child 2, primary: null
child 3, secondary: null
child 4, credits: null
child 5, individual_limit: null
child 6, spend_control_reached: null
child 7, plan_type: null
child 8, rate_limit_reached_type: null
child 61, encrypted_content: string
child 62, arguments: string
event: null
metadata: struct<client_authored: bool, mcp_attribution: struct<status: string>, retained_source: struct<id: s (... 155 chars omitted)
child 0, client_authored: bool
child 1, mcp_attribution: struct<status: string>
child 0, status: string
child 2, retained_source: struct<id: struct<message_id: string, turn_id: string, role: string>, revision: string, complete: bo (... 3 chars omitted)
child 0, id: struct<message_id: string, turn_id: string, role: string>
child 0, message_id: string
child 1, turn_id: string
child 2, role: string
child 1, revision: string
child 2, complete: bool
child 3, user_input_order: int64
child 4, fallback_token_limit_override: int64
direction: string
to
{'direction': Value('string'), 'event': Json(decode=True)}
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 1879, 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.
direction string | event unknown |
|---|---|
send | {
"id": 1,
"method": "initialize",
"params": {
"clientInfo": {
"name": "robot_harness",
"version": "2"
},
"capabilities": {
"experimentalApi": true
}
}
} |
receive | {
"id": 1,
"result": {
"userAgent": "robot_harness/0.159.2 (Ubuntu 22.4.0; x86_64) screen (robot_harness; 2)",
"codexHome": "/home/myx/codebase/outputs/harness/20261001T054755.827592Z_eval/episode-0001/runtime_5ailebky/codex",
"platformFamily": "unix",
"platformOs": "linux"
}
} |
send | {
"method": "initialized",
"params": {}
} |
send | {
"id": 2,
"method": "thread/start",
"params": {
"model": "gpt-6-astra",
"modelProvider": "robot_harness",
"cwd": "/home/myx/codebase/outputs/harness/20261001T054755.827592Z_eval/episode-0001/runtime_5ailebky/workspace",
"ephemeral": false,
"approvalPolicy": "never",
"permissions": "robot_... |
receive | {
"method": "remoteControl/status/changed",
"params": {
"status": "disabled",
"serverName": "xmu15",
"installationId": "c6072d4d-1a16-4ea8-ad11-b5f7c1f62fdd",
"environmentId": null
},
"emittedAtMs": 1790833928337
} |
receive | {
"id": 2,
"result": {
"thread": {
"id": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"environments": [
{
"environmentId": "local",
"cwd": "/home/myx/codebase/outputs/harness/20261001T054755.827592Z_eval/episode-0001/runtime_5ailebky/workspace",
"runtimeWorkspaceRoot... |
send | {
"id": 3,
"method": "thread/goal/set",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"status": "active",
"objective": "Execute this robot episode toward the supplied task until observe/act returns done=true. Then stop acting and complete the goal. Task: Pack canned foods into the bi... |
receive | {
"method": "thread/started",
"params": {
"thread": {
"id": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"environments": [
{
"environmentId": "local",
"cwd": "/home/myx/codebase/outputs/harness/20261001T054755.827592Z_eval/episode-0001/runtime_5ailebky/workspace",
"r... |
receive | {
"method": "warning",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"message": "Under-development features enabled: skip_host_skill_discovery. Under-development features are incomplete and may behave unpredictably. To suppress this warning, set `suppress_unstable_features_warning = true` ... |
receive | {
"id": 3,
"result": {
"goal": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"objective": "Execute this robot episode toward the supplied task until observe/act returns done=true. Then stop acting and complete the goal. Task: Pack canned foods into the bin",
"status": "active",
"... |
send | {
"id": 4,
"method": "turn/start",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"input": [
{
"type": "text",
"text": "Execute the current episode autonomously. Start with observe().\nTask instruction: Pack canned foods into the bin\nControl period: 0.06666666666666... |
receive | {
"method": "thread/goal/updated",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": null,
"goal": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"objective": "Execute this robot episode toward the supplied task until observe/act returns done=true. Then stop ac... |
receive | {
"method": "thread/status/changed",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"status": {
"type": "active",
"activeFlags": []
}
},
"emittedAtMs": 1790833928632
} |
receive | {
"method": "turn/started",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turn": {
"id": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"items": [],
"itemsView": "notLoaded",
"status": "inProgress",
"error": null,
"startedAt": 1790833928,
"completedAt": ... |
receive | {
"id": 4,
"result": {
"turn": {
"id": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"items": [],
"itemsView": "notLoaded",
"status": "inProgress",
"error": null,
"startedAt": null,
"completedAt": null,
"durationMs": null
}
}
} |
receive | {
"method": "item/started",
"params": {
"item": {
"type": "agentMessage",
"id": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"text": "",
"phase": "commentary",
"memoryCitation": null,
"delivery": null,
"questions": null
},
"threadId": "01a0f605-289e... |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": "I"
},
"emittedAtMs": 1790833932711
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": "’ll"
},
"emittedAtMs": 1790833932714
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " inspect"
},
"emittedAtMs": 1790833932717
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " the"
},
"emittedAtMs": 1790833932718
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " scene"
},
"emittedAtMs": 1790833932718
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": ","
},
"emittedAtMs": 1790833932803
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " then"
},
"emittedAtMs": 1790833932809
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " move"
},
"emittedAtMs": 1790833932809
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " the"
},
"emittedAtMs": 1790833932813
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " canned"
},
"emittedAtMs": 1790833932818
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " foods"
},
"emittedAtMs": 1790833932820
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " into"
},
"emittedAtMs": 1790833932823
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " the"
},
"emittedAtMs": 1790833932823
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " bin"
},
"emittedAtMs": 1790833932921
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " and"
},
"emittedAtMs": 1790833932922
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " continue"
},
"emittedAtMs": 1790833932925
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " until"
},
"emittedAtMs": 1790833932928
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " the"
},
"emittedAtMs": 1790833932930
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " episode"
},
"emittedAtMs": 1790833932930
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": " ends"
},
"emittedAtMs": 1790833933009
} |
receive | {
"method": "item/agentMessage/delta",
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"itemId": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"delta": ".\n"
},
"emittedAtMs": 1790833933009
} |
receive | {
"method": "item/completed",
"params": {
"item": {
"type": "agentMessage",
"id": "msg_0d1c183efb1d539e016abdf50c93bc87d0a657f61e7ddbefe7",
"text": "I’ll inspect the scene, then move the canned foods into the bin and continue until the episode ends.\n",
"phase": "commentary",
"memo... |
receive | {
"method": "item/started",
"params": {
"item": {
"type": "dynamicToolCall",
"id": "exec-3f47c4fd-392f-473d-8ce5-d67f97133e7a",
"namespace": null,
"tool": "observe",
"arguments": {},
"status": "inProgress",
"contentItems": null,
"success": null,
"durationMs"... |
receive | {
"method": "item/tool/call",
"id": 0,
"params": {
"threadId": "01a0f605-289e-7883-8f1b-3147ca921a0f",
"turnId": "01a0f605-29af-7820-9cd8-6ca64eedf57a",
"callId": "exec-3f47c4fd-392f-473d-8ce5-d67f97133e7a",
"namespace": null,
"tool": "observe",
"arguments": {}
}
} |
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