Text Datasets for Evaluation
Collection
Collection of datasets in Galician for LLM evaluation. It includes translations from already existing datasets as well as datasets created by us. • 21 items • Updated
Datasets:
Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: ValueError
Message: Feature type 'A' not found. Available feature types: ['Value', 'ClassLabel', 'Translation', 'TranslationVariableLanguages', 'LargeList', 'List', 'Array2D', 'Array3D', 'Array4D', 'Array5D', 'Audio', 'Image', 'Mesh', 'Video', 'Pdf', 'Nifti', 'Json']
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
config_names = get_dataset_config_names(
path=dataset,
token=hf_token,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
path,
...<4 lines>...
**download_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
).get_module()
~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 622, in get_module
dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 396, in from_dataset_card_data
dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 317, in _from_yaml_dict
yaml_data["features"] = Features._from_yaml_list(yaml_data["features"])
~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2148, in _from_yaml_list
return cls.from_dict(from_yaml_inner(yaml_data))
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1993, in from_dict
obj = generate_from_dict(dic)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1574, in generate_from_dict
return {key: generate_from_dict(value) for key, value in obj.items()}
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1580, in generate_from_dict
raise ValueError(f"Feature type '{_type}' not found. Available feature types: {list(_FEATURE_TYPES.keys())}")
ValueError: Feature type 'A' not found. Available feature types: ['Value', 'ClassLabel', 'Translation', 'TranslationVariableLanguages', 'LargeList', 'List', 'Array2D', 'Array3D', 'Array4D', 'Array5D', 'Audio', 'Image', 'Mesh', 'Video', 'Pdf', 'Nifti', 'Json']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.
gl_MQA_arte_galego_USC
Dataset Description
gl_MQA_arte_galego_USC is a Galician multiple-choice question-answering dataset focused on Galician art. It contains questions about artworks, artists, styles, themes, techniques, compositional features, and descriptive aspects of artistic heritage.
Dataset Summary
The dataset contains 45 examples. Each example consists of a question, four answer options, the correct answer, and a source identifier.
Data Fields
id: unique numeric identifier.question: multiple-choice question in Galician.answers: dictionary of answer options, usuallya,b,c, andd.correct: correct answer, including the option label.source_id: identifier of the original source entry.
Dataset Creation
The dataset was generated from descriptive information about artworks and artistic heritage. Specific prompts were used to create multiple-choice questions in Galician, with one correct answer and several distractors.
The generated examples were reviewed to ensure that the questions were clear, the correct answers were faithful to the source information, and the distractors were plausible but not misleading.
Intended Uses
This dataset can be used for:
- Evaluation of models on Galician art knowledge.
- Multiple-choice QA in cultural heritage.
- Domain-specific assessment of Galician language models.
- Educational applications related to Galician art.
- Testing model handling of artistic terminology and descriptions.
Limitations
The dataset is small and focused on a specific subset of artistic heritage. It should not be considered a comprehensive benchmark of Galician art knowledge.
License
This dataset was created from cultural heritage and cataloguing data made available through institutional collaboration and transfer agreements with the entities responsible for the original collections and descriptions.
The source materials were processed and transformed into a question-answering dataset through automatic generation, review, cleaning, structuring, and normalization procedures. These processes were applied to make the information reusable for language model evaluation and cultural heritage question-answering tasks, without intentionally altering the semantic content of the original source records.
Reuse of the dataset must respect the conditions established by the original data providers and the applicable agreements or permissions. The structure, format, organization of the dataset, and the generation and normalization processes applied are distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), unless specific source materials require additional conditions.
This license does not imply institutional endorsement by the entities responsible for the original collections or cataloguing data.
Acknowledgements
This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project Desarrollo de Modelos ALIA. Esta publicación del proyecto Desarrollo de Modelos ALIA está financiada por el Ministerio para la Transformación Digital y de la Función Pública y por el Plan de Recuperación, Transformación y Resiliencia – Financiado por la Unión Europea – NextGenerationEU.
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