A semantic encoder fine-tuned on historical versions of Spanish procurement notices and text-to-CPV-description pairs. It is intended for search, related-notice retrieval, version matching, and CPV division retrieval.

It was trained from the hsilvosa/openplacsp.

Temporal evaluation on 2024

Task	Metric	Base	Fine-tuned
Retrieve another version	Recall@1	0.9984	0.9982
Retrieve another version	Recall@10	1.0000	0.9998
Retrieve a CPV division	Recall@1	0.1920	0.6846
Retrieve a CPV division	Recall@3	0.3672	0.8550

Training only uses notices whose first publication date is no later than 2022. The years 2023 and 2024 are reserved for validation and testing. Training uses 150,000 version pairs and 50,000 text-to-CPV pairs with seed 20260817. The source snapshot fingerprint is fad46713c99abcaa500c7cef9323ae173f8f75c5aca02b299db2d4e96c3ca934 and the model checksum is e89f3596034c54b46d3959d2c7a33e378c9d67019405c9b6d26e56f207ec01ed.

Usage

python

from sentence_transformers import SentenceTransformer

model = SentenceTransformer(".")
queries = model.encode(["query: mantenimiento de aplicaciones"], normalize_embeddings=True)
documents = model.encode(["passage: servicios de desarrollo de software"], normalize_embeddings=True)
similarity = model.similarity(queries, documents)

Limitations

The model reflects Spanish administrative language and data published through December 2024. Similarity does not imply legal identity, irregularity, or contractual equivalence. CPV descriptions are short and some divisions have relatively few examples.

hsilvosa/openplacsp-e5-small

Embeddings for Spanish public procurement

Temporal evaluation on 2024

Usage

Limitations

hsilvosa/
openplacsp-e5-small