Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
id: string
task_name: string
trial_name: string
trial_uri: string
task_id: struct<git_url: string, git_commit_id: string, path: string>
source: string
task_checksum: string
config: struct<task: struct<path: string, git_url: string, git_commit_id: string, overwrite: bool, download_dir: null, source: string>, trial_name: string, trials_dir: string, timeout_multiplier: double, agent: struct<name: null, import_path: string, model_name: null, override_timeout_sec: null, override_setup_timeout_sec: null, max_timeout_sec: null, kwargs: struct<>>, environment: struct<type: string, import_path: null, force_build: bool, delete: bool, override_cpus: null, override_memory_mb: null, override_storage_mb: null, override_gpus: null, kwargs: struct<>>, verifier: struct<override_timeout_sec: null, max_timeout_sec: null, disable: bool>, job_id: string>
agent_info: struct<name: string, version: string, model_info: null>
agent_result: struct<n_input_tokens: int64, n_cache_tokens: int64, n_output_tokens: int64, cost_usd: null, rollout_details: null, metadata: null>
verifier_result: struct<rewards: struct<reward: double>>
exception_info: null
started_at: string
finished_at: string
environment_setup: struct<started_at: string, finished_at: string>
agent_setup: struct<started_at: string, finished_at: string>
agent_execution: struct<started_at: string, finished_at: string>
verifier: struct<started_at: string, finished_at: string>
vs
id: string
task_name: string
trial_name: string
trial_uri: string
task_id: struct<git_url: string, git_commit_id: string, path: string>
source: string
task_checksum: string
config: struct<task: struct<path: string, git_url: string, git_commit_id: string, overwrite: bool, download_dir: null, source: string>, trial_name: string, trials_dir: string, timeout_multiplier: double, agent: struct<name: null, import_path: string, model_name: null, override_timeout_sec: null, override_setup_timeout_sec: null, max_timeout_sec: null, kwargs: struct<>>, environment: struct<type: string, import_path: null, force_build: bool, delete: bool, override_cpus: null, override_memory_mb: null, override_storage_mb: null, override_gpus: null, kwargs: struct<>>, verifier: struct<override_timeout_sec: null, max_timeout_sec: null, disable: bool>, job_id: string>
agent_info: struct<name: string, version: string, model_info: null>
agent_result: struct<n_input_tokens: null, n_cache_tokens: null, n_output_tokens: null, cost_usd: null, rollout_details: null, metadata: null>
verifier_result: struct<rewards: struct<reward: double>>
exception_info: null
started_at: string
finished_at: string
environment_setup: struct<started_at: string, finished_at: string>
agent_setup: struct<started_at: string, finished_at: string>
agent_execution: struct<started_at: string, finished_at: string>
verifier: struct<started_at: string, finished_at: string>
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 572, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
id: string
task_name: string
trial_name: string
trial_uri: string
task_id: struct<git_url: string, git_commit_id: string, path: string>
source: string
task_checksum: string
config: struct<task: struct<path: string, git_url: string, git_commit_id: string, overwrite: bool, download_dir: null, source: string>, trial_name: string, trials_dir: string, timeout_multiplier: double, agent: struct<name: null, import_path: string, model_name: null, override_timeout_sec: null, override_setup_timeout_sec: null, max_timeout_sec: null, kwargs: struct<>>, environment: struct<type: string, import_path: null, force_build: bool, delete: bool, override_cpus: null, override_memory_mb: null, override_storage_mb: null, override_gpus: null, kwargs: struct<>>, verifier: struct<override_timeout_sec: null, max_timeout_sec: null, disable: bool>, job_id: string>
agent_info: struct<name: string, version: string, model_info: null>
agent_result: struct<n_input_tokens: int64, n_cache_tokens: int64, n_output_tokens: int64, cost_usd: null, rollout_details: null, metadata: null>
verifier_result: struct<rewards: struct<reward: double>>
exception_info: null
started_at: string
finished_at: string
environment_setup: struct<started_at: string, finished_at: string>
agent_setup: struct<started_at: string, finished_at: string>
agent_execution: struct<started_at: string, finished_at: string>
verifier: struct<started_at: string, finished_at: string>
vs
id: string
task_name: string
trial_name: string
trial_uri: string
task_id: struct<git_url: string, git_commit_id: string, path: string>
source: string
task_checksum: string
config: struct<task: struct<path: string, git_url: string, git_commit_id: string, overwrite: bool, download_dir: null, source: string>, trial_name: string, trials_dir: string, timeout_multiplier: double, agent: struct<name: null, import_path: string, model_name: null, override_timeout_sec: null, override_setup_timeout_sec: null, max_timeout_sec: null, kwargs: struct<>>, environment: struct<type: string, import_path: null, force_build: bool, delete: bool, override_cpus: null, override_memory_mb: null, override_storage_mb: null, override_gpus: null, kwargs: struct<>>, verifier: struct<override_timeout_sec: null, max_timeout_sec: null, disable: bool>, job_id: string>
agent_info: struct<name: string, version: string, model_info: null>
agent_result: struct<n_input_tokens: null, n_cache_tokens: null, n_output_tokens: null, cost_usd: null, rollout_details: null, metadata: null>
verifier_result: struct<rewards: struct<reward: double>>
exception_info: null
started_at: string
finished_at: string
environment_setup: struct<started_at: string, finished_at: string>
agent_setup: struct<started_at: string, finished_at: string>
agent_execution: struct<started_at: string, finished_at: string>
verifier: struct<started_at: string, finished_at: string>Need 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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