Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'test' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
schema_version: string
meta: struct<repo: string, agent: string, model: string, model_full: string, timestamp: string, task_id: string, item_id: string>
commits: struct<human: string, pre: string>
agent: struct<status: string, patch_generated: bool, patch_stats: struct<lines_added: int64, lines_removed: int64, files_changed: int64>, duration_s: null, time_to_first_edit_s: double>
evaluation: struct<status: string, baseline_ms: null, patched_ms: null, speedup: null, improvement: bool, error: string>
_sources: struct<journal: string, trajectory: null, prediction: string, patch: string>
vs
metadata: struct<run_id: string, item_id: string, task_id: string, human_commit: string, pre_commit: string, agent_status: string, patch_path: string, test_script_path: string, repo: string, agent: string, model: string, timestamp: string, source_dir: string>
result: struct<status: string, baseline_ms: null, patched_ms: null, speedup: null, improvement: bool, baseline_output: struct<target_resolved: bool, error: string, attempted_module: string, attempted_symbol: string>, patched_output: null, error_message: string, stdout: string, stderr: string, duration_s: double>
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 3496, 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 2257, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 531, 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:
schema_version: string
meta: struct<repo: string, agent: string, model: string, model_full: string, timestamp: string, task_id: string, item_id: string>
commits: struct<human: string, pre: string>
agent: struct<status: string, patch_generated: bool, patch_stats: struct<lines_added: int64, lines_removed: int64, files_changed: int64>, duration_s: null, time_to_first_edit_s: double>
evaluation: struct<status: string, baseline_ms: null, patched_ms: null, speedup: null, improvement: bool, error: string>
_sources: struct<journal: string, trajectory: null, prediction: string, patch: string>
vs
metadata: struct<run_id: string, item_id: string, task_id: string, human_commit: string, pre_commit: string, agent_status: string, patch_path: string, test_script_path: string, repo: string, agent: string, model: string, timestamp: string, source_dir: string>
result: struct<status: string, baseline_ms: null, patched_ms: null, speedup: null, improvement: bool, baseline_output: struct<target_resolved: bool, error: string, attempted_module: string, attempted_symbol: string>, patched_output: null, error_message: string, stdout: string, stderr: string, duration_s: double>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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