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
__count__: int64
data: list<item: struct<question_id: int64, category: string, context: string, question: string>>
child 0, item: struct<question_id: int64, category: string, context: string, question: string>
child 0, question_id: int64
child 1, category: string
child 2, context: string
child 3, question: string
raw_result_rows_scanned: int64
samples: list<item: struct<dataset_index: int64, question_id: int64, category: string, context: string, quest (... 61 chars omitted)
child 0, item: struct<dataset_index: int64, question_id: int64, category: string, context: string, question: string (... 49 chars omitted)
child 0, dataset_index: int64
child 1, question_id: int64
child 2, category: string
child 3, context: string
child 4, question: string
child 5, model_response_raw: string
child 6, source_run: string
duplicate_question_ids_in_source_dataset: int64
total_samples: int64
model_slug: string
unique_dataset_rows_covered: int64
source_run_globs: list<item: string>
child 0, item: string
source_dataset: string
benchmark_name: string
candidate_count_distribution: struct<5: int64, 10: int64, 15: int64, 20: int64>
child 0, 5: int64
child 1, 10: int64
child 2, 15: int64
child 3, 20: int64
to
{'benchmark_name': Value('string'), 'model_slug': Value('string'), 'source_dataset': Value('string'), 'source_run_globs': List(Value('string')), 'total_samples': Value('int64'), 'raw_result_rows_scanned': Value('int64'), 'unique_dataset_rows_covered': Value('int64'), 'duplicate_question_ids_in_source_dataset': Value('int64'), 'candidate_count_distribution': {'5': Value('int64'), '10': Value('int64'), '15': Value('int64'), '20': Value('int64')}, 'samples': List({'dataset_index': Value('int64'), 'question_id': Value('int64'), 'category': Value('string'), 'context': Value('string'), 'question': Value('string'), 'model_response_raw': Value('string'), 'source_run': Value('string')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
__count__: int64
data: list<item: struct<question_id: int64, category: string, context: string, question: string>>
child 0, item: struct<question_id: int64, category: string, context: string, question: string>
child 0, question_id: int64
child 1, category: string
child 2, context: string
child 3, question: string
raw_result_rows_scanned: int64
samples: list<item: struct<dataset_index: int64, question_id: int64, category: string, context: string, quest (... 61 chars omitted)
child 0, item: struct<dataset_index: int64, question_id: int64, category: string, context: string, question: string (... 49 chars omitted)
child 0, dataset_index: int64
child 1, question_id: int64
child 2, category: string
child 3, context: string
child 4, question: string
child 5, model_response_raw: string
child 6, source_run: string
duplicate_question_ids_in_source_dataset: int64
total_samples: int64
model_slug: string
unique_dataset_rows_covered: int64
source_run_globs: list<item: string>
child 0, item: string
source_dataset: string
benchmark_name: string
candidate_count_distribution: struct<5: int64, 10: int64, 15: int64, 20: int64>
child 0, 5: int64
child 1, 10: int64
child 2, 15: int64
child 3, 20: int64
to
{'benchmark_name': Value('string'), 'model_slug': Value('string'), 'source_dataset': Value('string'), 'source_run_globs': List(Value('string')), 'total_samples': Value('int64'), 'raw_result_rows_scanned': Value('int64'), 'unique_dataset_rows_covered': Value('int64'), 'duplicate_question_ids_in_source_dataset': Value('int64'), 'candidate_count_distribution': {'5': Value('int64'), '10': Value('int64'), '15': Value('int64'), '20': Value('int64')}, 'samples': List({'dataset_index': Value('int64'), 'question_id': Value('int64'), 'category': Value('string'), 'context': Value('string'), 'question': Value('string'), 'model_response_raw': Value('string'), 'source_run': 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.
Vietnamese Vi-DROP Benchmark
Question-only release of the Vietnamese Vi-DROP benchmark used by the ViLLM evaluation project.
Contents
vi_drop_benchmark_3309_question_only.json: 3,309 Vietnamese reading-comprehension and discrete-reasoning examples.- Each example contains
question_id,category,context, andquestion.
This release intentionally contains benchmark inputs only. Reference answers and model generations are not included in this file.
Model outputs
vi_drop_3309_gpt5.6_luna_outputs.json: merged GPT-5.6 Luna outputs covering all 3,309 benchmark rows.vi_drop_phase1_gpt5.6_luna_outputs.json: the earlier 30-sample phase-1 artifact, retained for historical comparison.
The full output artifact was merged from 440 downloaded Kaggle run artifacts and 21,795 raw result rows. Matching is performed against the original benchmark context/question/category, preserving all 3,309 source rows including duplicated question IDs. It is an evaluation artifact, not a gold-answer annotation.
Provenance
The file is exported from the ViLLM project’s VMLU benchmark resources. Please consult the upstream VMLU/Vi-DROP publication and dataset terms before using it for training or redistribution.
Intended use
The dataset is intended for evaluation of Vietnamese-capable language models, especially counting, extraction, comparison, and arithmetic reasoning over supplied contexts.
Limitations
This repository does not independently relicense the underlying benchmark. Users are responsible for checking the original source license and citation requirements.
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