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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
text_logic_form: list<item: string>
child 0, item: string
dissolved_text_logic_form: list<item: string>
child 0, item: string
diagram_logic_form: list<item: string>
child 0, item: string
line_instances: list<item: string>
child 0, item: string
point_positions: struct<A: list<item: double>, B: list<item: double>, C: list<item: double>>
child 0, A: list<item: double>
child 0, item: double
child 1, B: list<item: double>
child 0, item: double
child 2, C: list<item: double>
child 0, item: double
circle_instances: list<item: string>
child 0, item: string
system: string
problem_type_graph: list<item: string>
child 0, item: string
is_standard: bool
detailed_solution: string
answer: string
img_width: int64
compact_text: string
precise_value: list<item: double>
child 0, item: double
choices: list<item: string>
child 0, item: string
date: string
problem_text: string
rough_value: list<item: int64>
child 0, item: int64
comment: string
source: string
compact_choices: list<item: string>
child 0, item: string
annot_id: string
data_type: string
id: int64
unit: string
img_height: int64
problem_type_goal: list<item: string>
child 0, item: string
annotat_text: string
to
{'problem_text': Value('string'), 'choices': List(Value('string')), 'answer': Value('string'), 'detailed_solution': Value('string'), 'problem_type_graph': List(Value('string')), 'problem_type_goal': List(Value('string')), 'source': Value('string'), 'comment': Value('string'), 'id': Value('int64'), 'annot_id': Value('string'), 'is_standard': Value('bool'), 'compact_choices': List(Value('string')), 'precise_value': List(Value('float64')), 'rough_value': List(Value('int64')), 'compact_text': Value('string'), 'annotat_text': Value('string'), 'unit': Value('string'), 'img_width': Value('int64'), 'img_height': Value('int64'), 'data_type': Value('string'), 'date': Value('string'), 'system': 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 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, 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 310, 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 130, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
text_logic_form: list<item: string>
child 0, item: string
dissolved_text_logic_form: list<item: string>
child 0, item: string
diagram_logic_form: list<item: string>
child 0, item: string
line_instances: list<item: string>
child 0, item: string
point_positions: struct<A: list<item: double>, B: list<item: double>, C: list<item: double>>
child 0, A: list<item: double>
child 0, item: double
child 1, B: list<item: double>
child 0, item: double
child 2, C: list<item: double>
child 0, item: double
circle_instances: list<item: string>
child 0, item: string
system: string
problem_type_graph: list<item: string>
child 0, item: string
is_standard: bool
detailed_solution: string
answer: string
img_width: int64
compact_text: string
precise_value: list<item: double>
child 0, item: double
choices: list<item: string>
child 0, item: string
date: string
problem_text: string
rough_value: list<item: int64>
child 0, item: int64
comment: string
source: string
compact_choices: list<item: string>
child 0, item: string
annot_id: string
data_type: string
id: int64
unit: string
img_height: int64
problem_type_goal: list<item: string>
child 0, item: string
annotat_text: string
to
{'problem_text': Value('string'), 'choices': List(Value('string')), 'answer': Value('string'), 'detailed_solution': Value('string'), 'problem_type_graph': List(Value('string')), 'problem_type_goal': List(Value('string')), 'source': Value('string'), 'comment': Value('string'), 'id': Value('int64'), 'annot_id': Value('string'), 'is_standard': Value('bool'), 'compact_choices': List(Value('string')), 'precise_value': List(Value('float64')), 'rough_value': List(Value('int64')), 'compact_text': Value('string'), 'annotat_text': Value('string'), 'unit': Value('string'), 'img_width': Value('int64'), 'img_height': Value('int64'), 'data_type': Value('string'), 'date': Value('string'), 'system': 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.
IR MLLM Experiment Data
This dataset repository stores raw and derived artifacts for the IR_mllm intermediate-geometry-language experiments.
Contents
raw_datasets/datasets/: raw dataset archives present on the experiment server, including FormalGeo and MathVista artifacts.derived_data/formalgeo_route_data/: route-generator train/val/test splits, GDP-4B parses, parser inputs, and resized images.derived_data/construction_plan_data/: construction-plan pseudo-label data for the earlier generator.derived_data/data/geometry3k/: Geometry3K downstream data artifact.results/: JSON/JSONL/log outputs from trust calibration, answer steering, GDP, construction-plan, theorem-route, Geometry3K, MathVista, and FormalGeo experiments.
Key result
Geometry3K-150 downstream:
| Variant | Correct | Total | Accuracy |
|---|---|---|---|
| image_only | 76 | 150 | 50.67% |
| image + generated theorem route | 82 | 150 | 54.67% |
FormalGeo-200 was paused at checkpoint by user request; partial outputs are included in results/qwen3vl8b_formalgeo_generated_route200.jsonl.
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