Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
schema_version: string
turn: int64
ts: double
duration_s: double
request: struct<model: string, messages: list<item: struct<role: string, content: string, tool_calls: list<it (... 1079 chars omitted)
child 0, model: string
child 1, messages: list<item: struct<role: string, content: string, tool_calls: list<item: struct<index: int64, functio (... 94 chars omitted)
child 0, item: struct<role: string, content: string, tool_calls: list<item: struct<index: int64, function: struct<a (... 82 chars omitted)
child 0, role: string
child 1, content: string
child 2, tool_calls: list<item: struct<index: int64, function: struct<arguments: string, name: string>, id: string, type: (... 9 chars omitted)
child 0, item: struct<index: int64, function: struct<arguments: string, name: string>, id: string, type: string>
child 0, index: int64
child 1, function: struct<arguments: string, name: string>
child 0, arguments: string
child 1, name: string
child 2, id: string
child 3, type: string
child 3, tool_call_id: string
child 2, tools: list<item: struct<type: string, function: struct<name: string, description: string, parameters: stru (... 725 chars omitted)
child 0, item: struct<type: string, function: struct<name: string, description: string, parameters: struct<type: st (... 713 chars omitted)
child 0, t
...
string, input: struct<cmd: string, file: string, start_line: int6 (... 122 chars omitted)
child 0, tool_call_id: string
child 1, name: string
child 2, input: struct<cmd: string, file: string, start_line: int64, max_lines: int64, code: string>
child 0, cmd: string
child 1, file: string
child 2, start_line: int64
child 3, max_lines: int64
child 4, code: string
child 3, content: string
child 4, is_error: bool
child 5, duration_s: double
child 6, truncated: bool
child 7, is_submit: bool
turn_cost_usd: double
cumulative_cost_usd: double
notes: struct<reasoning_summary: string, api: string>
child 0, reasoning_summary: string
child 1, api: string
schema_label: string
llm_provider: string
max_wallclock_s: double
max_turns: int64
llm_api_key_env: null
slurm_job_id: string
start_ts: double
llm_rate_limit_429_s: double
llm_rate_limit_file: string
start_iso: timestamp[s]
max_cost_usd: double
llm_min_request_interval_s: double
stage2_judge_api_key_env: null
llm_url: string
paper_id: string
model: string
image: string
llm_max_retries: int64
thinking: struct<reasoning_effort: null, llm_thinking: struct<type: string, budget_tokens: int64>>
child 0, reasoning_effort: null
child 1, llm_thinking: struct<type: string, budget_tokens: int64>
child 0, type: string
child 1, budget_tokens: int64
pid: int64
stage2_judge_provider: string
gpu_id: int64
host: string
stage2_judge_url: null
to
{'schema_version': Value('string'), 'paper_id': Value('string'), 'model': Value('string'), 'max_turns': Value('int64'), 'max_wallclock_s': Value('float64'), 'max_cost_usd': Value('float64'), 'thinking': {'reasoning_effort': Value('null'), 'llm_thinking': {'type': Value('string'), 'budget_tokens': Value('int64')}}, 'host': Value('string'), 'slurm_job_id': Value('string'), 'start_ts': Value('float64'), 'start_iso': Value('timestamp[s]'), 'pid': Value('int64'), 'image': Value('string'), 'gpu_id': Value('int64'), 'schema_label': Value('string'), 'llm_provider': Value('string'), 'llm_url': Value('string'), 'llm_api_key_env': Value('null'), 'llm_max_retries': Value('int64'), 'llm_rate_limit_429_s': Value('float64'), 'llm_min_request_interval_s': Value('float64'), 'llm_rate_limit_file': Value('string'), 'stage2_judge_provider': Value('string'), 'stage2_judge_url': Value('null'), 'stage2_judge_api_key_env': Value('null')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
schema_version: string
turn: int64
ts: double
duration_s: double
request: struct<model: string, messages: list<item: struct<role: string, content: string, tool_calls: list<it (... 1079 chars omitted)
child 0, model: string
child 1, messages: list<item: struct<role: string, content: string, tool_calls: list<item: struct<index: int64, functio (... 94 chars omitted)
child 0, item: struct<role: string, content: string, tool_calls: list<item: struct<index: int64, function: struct<a (... 82 chars omitted)
child 0, role: string
child 1, content: string
child 2, tool_calls: list<item: struct<index: int64, function: struct<arguments: string, name: string>, id: string, type: (... 9 chars omitted)
child 0, item: struct<index: int64, function: struct<arguments: string, name: string>, id: string, type: string>
child 0, index: int64
child 1, function: struct<arguments: string, name: string>
child 0, arguments: string
child 1, name: string
child 2, id: string
child 3, type: string
child 3, tool_call_id: string
child 2, tools: list<item: struct<type: string, function: struct<name: string, description: string, parameters: stru (... 725 chars omitted)
child 0, item: struct<type: string, function: struct<name: string, description: string, parameters: struct<type: st (... 713 chars omitted)
child 0, t
...
string, input: struct<cmd: string, file: string, start_line: int6 (... 122 chars omitted)
child 0, tool_call_id: string
child 1, name: string
child 2, input: struct<cmd: string, file: string, start_line: int64, max_lines: int64, code: string>
child 0, cmd: string
child 1, file: string
child 2, start_line: int64
child 3, max_lines: int64
child 4, code: string
child 3, content: string
child 4, is_error: bool
child 5, duration_s: double
child 6, truncated: bool
child 7, is_submit: bool
turn_cost_usd: double
cumulative_cost_usd: double
notes: struct<reasoning_summary: string, api: string>
child 0, reasoning_summary: string
child 1, api: string
schema_label: string
llm_provider: string
max_wallclock_s: double
max_turns: int64
llm_api_key_env: null
slurm_job_id: string
start_ts: double
llm_rate_limit_429_s: double
llm_rate_limit_file: string
start_iso: timestamp[s]
max_cost_usd: double
llm_min_request_interval_s: double
stage2_judge_api_key_env: null
llm_url: string
paper_id: string
model: string
image: string
llm_max_retries: int64
thinking: struct<reasoning_effort: null, llm_thinking: struct<type: string, budget_tokens: int64>>
child 0, reasoning_effort: null
child 1, llm_thinking: struct<type: string, budget_tokens: int64>
child 0, type: string
child 1, budget_tokens: int64
pid: int64
stage2_judge_provider: string
gpu_id: int64
host: string
stage2_judge_url: null
to
{'schema_version': Value('string'), 'paper_id': Value('string'), 'model': Value('string'), 'max_turns': Value('int64'), 'max_wallclock_s': Value('float64'), 'max_cost_usd': Value('float64'), 'thinking': {'reasoning_effort': Value('null'), 'llm_thinking': {'type': Value('string'), 'budget_tokens': Value('int64')}}, 'host': Value('string'), 'slurm_job_id': Value('string'), 'start_ts': Value('float64'), 'start_iso': Value('timestamp[s]'), 'pid': Value('int64'), 'image': Value('string'), 'gpu_id': Value('int64'), 'schema_label': Value('string'), 'llm_provider': Value('string'), 'llm_url': Value('string'), 'llm_api_key_env': Value('null'), 'llm_max_retries': Value('int64'), 'llm_rate_limit_429_s': Value('float64'), 'llm_min_request_interval_s': Value('float64'), 'llm_rate_limit_file': Value('string'), 'stage2_judge_provider': Value('string'), 'stage2_judge_url': Value('null'), 'stage2_judge_api_key_env': Value('null')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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