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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
timestamp: string
agent_name: string
tool_name: string
args: struct<query: string, num_result_pages: int64, document_path: string, max_results: int64, sort: stri (... 108 chars omitted)
child 0, query: string
child 1, num_result_pages: int64
child 2, document_path: string
child 3, max_results: int64
child 4, sort: string
child 5, date_range: null
child 6, publication_type: null
child 7, num: int64
child 8, hl: string
child 9, gl: string
child 10, publication_title: string
result: string
split: string
model: string
benchmark: string
results: list<item: struct<agent_count: int64, correct: int64, total: int64, accuracy: double, accuracy_perce (... 12 chars omitted)
child 0, item: struct<agent_count: int64, correct: int64, total: int64, accuracy: double, accuracy_percent: double>
child 0, agent_count: int64
child 1, correct: int64
child 2, total: int64
child 3, accuracy: double
child 4, accuracy_percent: double
level: string
to
{'benchmark': Value('string'), 'split': Value('string'), 'level': Value('string'), 'model': Value('string'), 'results': List({'agent_count': Value('int64'), 'correct': Value('int64'), 'total': Value('int64'), 'accuracy': Value('float64'), 'accuracy_percent': Value('float64')})}
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
timestamp: string
agent_name: string
tool_name: string
args: struct<query: string, num_result_pages: int64, document_path: string, max_results: int64, sort: stri (... 108 chars omitted)
child 0, query: string
child 1, num_result_pages: int64
child 2, document_path: string
child 3, max_results: int64
child 4, sort: string
child 5, date_range: null
child 6, publication_type: null
child 7, num: int64
child 8, hl: string
child 9, gl: string
child 10, publication_title: string
result: string
split: string
model: string
benchmark: string
results: list<item: struct<agent_count: int64, correct: int64, total: int64, accuracy: double, accuracy_perce (... 12 chars omitted)
child 0, item: struct<agent_count: int64, correct: int64, total: int64, accuracy: double, accuracy_percent: double>
child 0, agent_count: int64
child 1, correct: int64
child 2, total: int64
child 3, accuracy: double
child 4, accuracy_percent: double
level: string
to
{'benchmark': Value('string'), 'split': Value('string'), 'level': Value('string'), 'model': Value('string'), 'results': List({'agent_count': Value('int64'), 'correct': Value('int64'), 'total': Value('int64'), 'accuracy': Value('float64'), 'accuracy_percent': Value('float64')})}
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MonoScale Trajectory
Sanitized HLE trajectory artifacts for the MonoScale experiments.
This dataset contains the exported Qwen HLE trajectory directories for 3-agent baseline and 5/7/10-agent memory runs. Local filesystem paths, private endpoints/IPs, and credential-shaped strings have been mechanically redacted before upload.
Large result summaries are not included here; GitHub release materials contain code, configs, and memory.
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