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
results: struct<tool: struct<name: string, version: string>, summary: struct<tests: int64, passed: int64, fai (... 278 chars omitted)
child 0, tool: struct<name: string, version: string>
child 0, name: string
child 1, version: string
child 1, summary: struct<tests: int64, passed: int64, failed: int64, skipped: int64, pending: int64, other: int64, sta (... 25 chars omitted)
child 0, tests: int64
child 1, passed: int64
child 2, failed: int64
child 3, skipped: int64
child 4, pending: int64
child 5, other: int64
child 6, start: double
child 7, stop: double
child 2, tests: list<item: struct<name: string, status: string, raw_status: string, duration: double, start: double, (... 82 chars omitted)
child 0, item: struct<name: string, status: string, raw_status: string, duration: double, start: double, stop: doub (... 70 chars omitted)
child 0, name: string
child 1, status: string
child 2, raw_status: string
child 3, duration: double
child 4, start: double
child 5, stop: double
child 6, retries: int64
child 7, file_path: string
child 8, trace: string
child 9, message: string
task_id: struct<path: string>
child 0, path: string
environment_setup: struct<started_at: string, finished_at: string>
child 0, started_at: string
child 1, finished_at: string
trial_name: string
trial_uri: string
task_name: string
agent_exe
...
hild 3, override_timeout_sec: null
child 4, max_timeout_sec: null
child 5, kwargs: struct<>
child 5, environment: struct<type: string, force_build: bool, delete: bool, override_cpus: null, override_memory_mb: null, (... 45 chars omitted)
child 0, type: string
child 1, force_build: bool
child 2, delete: bool
child 3, override_cpus: null
child 4, override_memory_mb: null
child 5, override_storage_mb: null
child 6, kwargs: struct<>
child 6, verifier: struct<override_timeout_sec: null, max_timeout_sec: null, disable: bool>
child 0, override_timeout_sec: null
child 1, max_timeout_sec: null
child 2, disable: bool
child 7, job_id: string
verifier_result: struct<rewards: struct<reward: double>>
child 0, rewards: struct<reward: double>
child 0, reward: double
id: string
source: null
agent_info: struct<name: string, version: string, model_info: null>
child 0, name: string
child 1, version: string
child 2, model_info: null
agent_setup: struct<started_at: string, finished_at: string>
child 0, started_at: string
child 1, finished_at: string
finished_at: string
exception_info: null
agent_result: struct<n_input_tokens: null, n_cache_tokens: null, n_output_tokens: null, cost_usd: null, rollout_de (... 28 chars omitted)
child 0, n_input_tokens: null
child 1, n_cache_tokens: null
child 2, n_output_tokens: null
child 3, cost_usd: null
child 4, rollout_details: null
child 5, metadata: null
to
{'id': Value('string'), 'task_name': Value('string'), 'trial_name': Value('string'), 'trial_uri': Value('string'), 'task_id': {'path': Value('string')}, 'source': Value('null'), 'task_checksum': Value('string'), 'config': {'task': {'path': Value('string'), 'git_url': Value('null'), 'git_commit_id': Value('null'), 'overwrite': Value('bool'), 'download_dir': Value('null'), 'source': Value('null')}, 'trial_name': Value('string'), 'trials_dir': Value('string'), 'timeout_multiplier': Value('float64'), 'agent': {'name': Value('string'), 'import_path': Value('null'), 'model_name': Value('null'), 'override_timeout_sec': Value('null'), 'max_timeout_sec': Value('null'), 'kwargs': {}}, 'environment': {'type': Value('string'), 'force_build': Value('bool'), 'delete': Value('bool'), 'override_cpus': Value('null'), 'override_memory_mb': Value('null'), 'override_storage_mb': Value('null'), 'kwargs': {}}, 'verifier': {'override_timeout_sec': Value('null'), 'max_timeout_sec': Value('null'), 'disable': Value('bool')}, 'job_id': Value('string')}, 'agent_info': {'name': Value('string'), 'version': Value('string'), 'model_info': Value('null')}, 'agent_result': {'n_input_tokens': Value('null'), 'n_cache_tokens': Value('null'), 'n_output_tokens': Value('null'), 'cost_usd': Value('null'), 'rollout_details': Value('null'), 'metadata': Value('null')}, 'verifier_result': {'rewards': {'reward': Value('float64')}}, 'exception_info': Value('null'), 'started_at': Value('string'), 'finished_at': Value('string'), 'environment_setup': {'started_at': Value('string'), 'finished_at': Value('string')}, 'agent_setup': {'started_at': Value('string'), 'finished_at': Value('string')}, 'agent_execution': {'started_at': Value('string'), 'finished_at': Value('string')}, 'verifier': {'started_at': Value('string'), 'finished_at': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, 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 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
results: struct<tool: struct<name: string, version: string>, summary: struct<tests: int64, passed: int64, fai (... 278 chars omitted)
child 0, tool: struct<name: string, version: string>
child 0, name: string
child 1, version: string
child 1, summary: struct<tests: int64, passed: int64, failed: int64, skipped: int64, pending: int64, other: int64, sta (... 25 chars omitted)
child 0, tests: int64
child 1, passed: int64
child 2, failed: int64
child 3, skipped: int64
child 4, pending: int64
child 5, other: int64
child 6, start: double
child 7, stop: double
child 2, tests: list<item: struct<name: string, status: string, raw_status: string, duration: double, start: double, (... 82 chars omitted)
child 0, item: struct<name: string, status: string, raw_status: string, duration: double, start: double, stop: doub (... 70 chars omitted)
child 0, name: string
child 1, status: string
child 2, raw_status: string
child 3, duration: double
child 4, start: double
child 5, stop: double
child 6, retries: int64
child 7, file_path: string
child 8, trace: string
child 9, message: string
task_id: struct<path: string>
child 0, path: string
environment_setup: struct<started_at: string, finished_at: string>
child 0, started_at: string
child 1, finished_at: string
trial_name: string
trial_uri: string
task_name: string
agent_exe
...
hild 3, override_timeout_sec: null
child 4, max_timeout_sec: null
child 5, kwargs: struct<>
child 5, environment: struct<type: string, force_build: bool, delete: bool, override_cpus: null, override_memory_mb: null, (... 45 chars omitted)
child 0, type: string
child 1, force_build: bool
child 2, delete: bool
child 3, override_cpus: null
child 4, override_memory_mb: null
child 5, override_storage_mb: null
child 6, kwargs: struct<>
child 6, verifier: struct<override_timeout_sec: null, max_timeout_sec: null, disable: bool>
child 0, override_timeout_sec: null
child 1, max_timeout_sec: null
child 2, disable: bool
child 7, job_id: string
verifier_result: struct<rewards: struct<reward: double>>
child 0, rewards: struct<reward: double>
child 0, reward: double
id: string
source: null
agent_info: struct<name: string, version: string, model_info: null>
child 0, name: string
child 1, version: string
child 2, model_info: null
agent_setup: struct<started_at: string, finished_at: string>
child 0, started_at: string
child 1, finished_at: string
finished_at: string
exception_info: null
agent_result: struct<n_input_tokens: null, n_cache_tokens: null, n_output_tokens: null, cost_usd: null, rollout_de (... 28 chars omitted)
child 0, n_input_tokens: null
child 1, n_cache_tokens: null
child 2, n_output_tokens: null
child 3, cost_usd: null
child 4, rollout_details: null
child 5, metadata: null
to
{'id': Value('string'), 'task_name': Value('string'), 'trial_name': Value('string'), 'trial_uri': Value('string'), 'task_id': {'path': Value('string')}, 'source': Value('null'), 'task_checksum': Value('string'), 'config': {'task': {'path': Value('string'), 'git_url': Value('null'), 'git_commit_id': Value('null'), 'overwrite': Value('bool'), 'download_dir': Value('null'), 'source': Value('null')}, 'trial_name': Value('string'), 'trials_dir': Value('string'), 'timeout_multiplier': Value('float64'), 'agent': {'name': Value('string'), 'import_path': Value('null'), 'model_name': Value('null'), 'override_timeout_sec': Value('null'), 'max_timeout_sec': Value('null'), 'kwargs': {}}, 'environment': {'type': Value('string'), 'force_build': Value('bool'), 'delete': Value('bool'), 'override_cpus': Value('null'), 'override_memory_mb': Value('null'), 'override_storage_mb': Value('null'), 'kwargs': {}}, 'verifier': {'override_timeout_sec': Value('null'), 'max_timeout_sec': Value('null'), 'disable': Value('bool')}, 'job_id': Value('string')}, 'agent_info': {'name': Value('string'), 'version': Value('string'), 'model_info': Value('null')}, 'agent_result': {'n_input_tokens': Value('null'), 'n_cache_tokens': Value('null'), 'n_output_tokens': Value('null'), 'cost_usd': Value('null'), 'rollout_details': Value('null'), 'metadata': Value('null')}, 'verifier_result': {'rewards': {'reward': Value('float64')}}, 'exception_info': Value('null'), 'started_at': Value('string'), 'finished_at': Value('string'), 'environment_setup': {'started_at': Value('string'), 'finished_at': Value('string')}, 'agent_setup': {'started_at': Value('string'), 'finished_at': Value('string')}, 'agent_execution': {'started_at': Value('string'), 'finished_at': Value('string')}, 'verifier': {'started_at': Value('string'), 'finished_at': Value('string')}}
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.
No dataset card yet
- Downloads last month
- 466