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bne-spanish-subject-classifier
hsilvosa/bne-spanish-subject-classifier
bne-spanish-subject-classifier is a text classification model from hsilvosa. Use it when you need a label for a piece of text. The card lists the license as cc-by-4.0.
This model is a multi-label sequence classification transformer fine-tuned on Spanish bibliographic records from the Biblioteca Nacional de España (BNE). It predicts SKOS subject headings and Universal Decimal Classif…
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At a glance
- Task
- Text Classification
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- Aug 19, 2026
- Updated
- Aug 19, 2026
- SHA
- d82b8063
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Base models
Datasets
Model card
From the Hugging Face model README
Spanish Bibliographic Subject & UDC Classifier
This model is a multi-label sequence classification transformer fine-tuned on Spanish bibliographic records from the Biblioteca Nacional de España (BNE). It predicts SKOS subject headings and Universal Decimal Classification (UDC/Dewey) codes from book titles and publication descriptions.
Benchmark Evaluation Results
| Evaluation Metric | Score | Description |
|---|---|---|
| SKOS Subject Top-1 Accuracy | 0.6071 | Exact match top-1 accuracy on SKOS preferred subject headings |
| SKOS Subject Top-3 Accuracy | 0.9286 | Top-3 candidate coverage for SKOS subject headings |
| SKOS Subject Macro F1 | 0.2519 | Unweighted Macro F1 across SKOS subject classes |
| SKOS Subject Weighted F1 | 0.4587 | Frequency-weighted F1 across SKOS subject classes |
| UDC Division Top-1 Accuracy | 1.0000 | Classification accuracy on UDC main divisions |
| UDC Division Macro F1 | 1.0000 | Unweighted Macro F1 across UDC classification codes |
Model Details
- Foundation Model:
dccuchile/bert-base-spanish-wwm-cased(BETO) - Parameters: ~110 Million
- Training Dataset:
hsilvosa/bne-linked-data - Task: Bibliographic subject and UDC code classification
Usage
from bne_semantic_linker.inference.classifier_pipeline import BNESubjectClassifierPipeline
pipeline = BNESubjectClassifierPipeline("hsilvosa/bne-spanish-subject-classifier")
results = pipeline.predict(
title="Don Quijote de la Mancha",
description="Edición crítica con notas explicativas sobre la novela barroca española"
)
print(results)
Intended Use & Limitations
Optimized for library cataloging, automated subject indexing, and semantic categorisation of Spanish publications.
- Task
- Text Classification
- Type
- bert
- License
- cc-by-4.0
- Languages
- es
- Created
- Aug 19, 2026
- Updated
- Aug 19, 2026