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
active_proposals_at_start: int64
api_costs: double
archive_inspiration_ids: list<item: string>
child 0, item: string
artifacts: struct<attempt_dir: string, attempt_metadata_path: string, generated_code_path: string, generation_d (... 32 chars omitted)
child 0, attempt_dir: string
child 1, attempt_metadata_path: string
child 2, generated_code_path: string
child 3, generation_dir: string
child 4, results_dir: string
attempts: struct<novelty_attempt: int64, patch_attempt: int64, resample_attempt: int64>
child 0, novelty_attempt: int64
child 1, patch_attempt: int64
child 2, resample_attempt: int64
code_embedding_available: bool
downstream_eval_submitted: bool
embed_cost: double
error_attempt: string
failure_class: string
failure_json_path: string
failure_reason: string
failure_stage: string
generated_code_available: bool
generation: int64
language: string
last_error_msg: string
max_similarity: null
node_kind: string
novelty_checks_performed: int64
novelty_cost: double
novelty_explanation: string
parent_id: string
patch_description: null
patch_name: null
patch_type: string
proposal_started_at: double
sampling_worker_id: null
system_prompt_id: null
timestamp: string
top_k_inspiration_ids: list<item: string>
child 0, item: string
num_applied: int64
error_msg: string
novelty_attempt: int64
success: bool
resample_attempt: int64
patch_attempt: int64
to
{'generation': Value('int64'), 'novelty_attempt': Value('int64'), 'resample_attempt': Value('int64'), 'patch_attempt': Value('int64'), 'success': Value('bool'), 'num_applied': Value('int64'), 'patch_name': Value('null'), 'patch_description': Value('null'), 'error_msg': Value('string'), 'timestamp': 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 299, 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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
active_proposals_at_start: int64
api_costs: double
archive_inspiration_ids: list<item: string>
child 0, item: string
artifacts: struct<attempt_dir: string, attempt_metadata_path: string, generated_code_path: string, generation_d (... 32 chars omitted)
child 0, attempt_dir: string
child 1, attempt_metadata_path: string
child 2, generated_code_path: string
child 3, generation_dir: string
child 4, results_dir: string
attempts: struct<novelty_attempt: int64, patch_attempt: int64, resample_attempt: int64>
child 0, novelty_attempt: int64
child 1, patch_attempt: int64
child 2, resample_attempt: int64
code_embedding_available: bool
downstream_eval_submitted: bool
embed_cost: double
error_attempt: string
failure_class: string
failure_json_path: string
failure_reason: string
failure_stage: string
generated_code_available: bool
generation: int64
language: string
last_error_msg: string
max_similarity: null
node_kind: string
novelty_checks_performed: int64
novelty_cost: double
novelty_explanation: string
parent_id: string
patch_description: null
patch_name: null
patch_type: string
proposal_started_at: double
sampling_worker_id: null
system_prompt_id: null
timestamp: string
top_k_inspiration_ids: list<item: string>
child 0, item: string
num_applied: int64
error_msg: string
novelty_attempt: int64
success: bool
resample_attempt: int64
patch_attempt: int64
to
{'generation': Value('int64'), 'novelty_attempt': Value('int64'), 'resample_attempt': Value('int64'), 'patch_attempt': Value('int64'), 'success': Value('bool'), 'num_applied': Value('int64'), 'patch_name': Value('null'), 'patch_description': Value('null'), 'error_msg': Value('string'), 'timestamp': 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.
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