Text Datasets for Fine-tuning and Instruction tuning
Collection
Collection of datasets in Galician for fine-tuning, instruction tuning or training purposes. • 22 items • Updated
Datasets:
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: ArrowInvalid
Message: Float value 1191925.890909 was truncated converting to int64
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2143, in cast_array_to_feature
return array_cast(
array,
...<2 lines>...
allow_decimal_to_str=allow_decimal_to_str,
)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2006, in array_cast
return array.cast(pa_type)
~~~~~~~~~~^^^^^^^^^
File "pyarrow/array.pxi", line 1147, in pyarrow.lib.Array.cast
File "/usr/local/lib/python3.14/site-packages/pyarrow/compute.py", line 412, in cast
return call_function("cast", [arr], options, memory_pool)
File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
result = GetResultValue(
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Float value 1191925.890909 was truncated converting to int64Need 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_bensculturais_QA
Dataset Description
gl_bensculturais_QA is a Galician question-answering dataset focused on cultural heritage. It contains open questions and short answers generated from terminological and descriptive information related to cultural heritage objects and concepts.
The dataset was created to support the development and evaluation of Galician language models for heritage-related question answering, information extraction, and domain-specific knowledge access.
Dataset Summary
The dataset contains 1,714 examples. Each example includes a question in Galician, a short answer, the associated heritage term, the source context used to generate the question, and a source identifier.
Data Fields
id: unique numeric identifier.question: question in Galician.answer: expected answer.term: cultural heritage term associated with the example.context: source context used to generate the question-answer pair.source_id: identifier of the original source entry.
Dataset Creation
The dataset was generated by combining specific prompts with entries from cultural heritage terminological resources. A large language model was used to transform descriptive and terminological information into question-answer examples in Galician.
The generated entries were reviewed to check the coherence between questions and answers, fidelity to the source content, and linguistic adequacy.
Intended Uses
This dataset can be used for:
- Evaluation of Galician question-answering models.
- Domain adaptation of language models to cultural heritage.
- Information extraction tasks.
- Instruction-tuning experiments in Galician.
- Testing model access to terminological and descriptive heritage knowledge.
Limitations
The dataset is derived from structured heritage descriptions and may reflect the scope, terminology, and biases of the original source material. Although the examples were reviewed, some answers may depend on the specific context provided and should not be interpreted as exhaustive definitions.
License
This dataset is derived from official cultural heritage terminology resources published by the Spanish Ministry of Culture through the Tesauros del Patrimonio Cultural de España portal and the datos.gob.es portal, within the framework of public sector information reuse.
According to the terms of use established by the Ministry of Culture, these vocabularies are made available for free and open use, including reproduction, distribution, public communication, and transformation, provided that explicit acknowledgement is given to the authorship and provenance of the original content.
The original source used for this dataset is:
Dictionary of Cultural Heritage Object Names https://datos.gob.es/gl/catalogo/e05234201-diccionario-de-denominaciones-de-bienes-culturales
This dataset constitutes a derivative work resulting from automatic generation, review, cleaning, structuring, and conversion processes, without intentionally altering the semantic content of the original source material. All reuse of the dataset must preserve attribution to the original official sources.
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), without implying institutional endorsement by the Ministry of Culture.
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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