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:
artifact_url: string
benchmark_scores: list<item: null>
eval_task_count: int64
final_model: string
grpo_ran: bool
job_id: string
model: string
model_revision: string
run_id: string
schema_version: int64
status: string
submission_id: string
team_name: string
train_task_count: int64
updated_at: string
vs
artifact_url: string
baseline_score: null
benchmark_scores: list<item: null>
delta_score: null
error: null
eval_task_count: int64
final_model: string
grpo_effective_update: null
grpo_ran: bool
job_id: null
macro_benchmark_delta: null
model: string
model_revision: string
model_url: null
run_id: string
schema_version: int64
score_after_posttrain: null
status: string
submission_id: string
team_name: string
train_task_count: int64
updated_at: string
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 596, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5040, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
artifact_url: string
benchmark_scores: list<item: null>
eval_task_count: int64
final_model: string
grpo_ran: bool
job_id: string
model: string
model_revision: string
run_id: string
schema_version: int64
status: string
submission_id: string
team_name: string
train_task_count: int64
updated_at: string
vs
artifact_url: string
baseline_score: null
benchmark_scores: list<item: null>
delta_score: null
error: null
eval_task_count: int64
final_model: string
grpo_effective_update: null
grpo_ran: bool
job_id: null
macro_benchmark_delta: null
model: string
model_revision: string
model_url: null
run_id: string
schema_version: int64
score_after_posttrain: null
status: string
submission_id: string
team_name: string
train_task_count: int64
updated_at: stringNeed 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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