Publications / Preprint (arXiv) · 2025
PatenTEB: A Comprehensive Benchmark and Model Family for Patent Text Embedding
Iliass Ayaou, Denis Cavallucci
arXiv preprint
On Hugging Face
Models and datasets that cite this paper, by any author, as listed by Hugging Face (refreshed daily).
Models12
- datalyes/patembed-large13,916 downloads
- datalyes/patembed-base6,187 downloads
- datalyes/patembed-base_long_40962,026 downloads
- datalyes/patembed-base_small578 downloads
- datalyes/patembed-large_no_prompts477 downloads
- datalyes/patembed-small—
- datalyes/patembed-mini—
- datalyes/patembed-nano—
- datalyes/patembed-base_long_1024—
- datalyes/patembed-base_long_2048—
- datalyes/patembed-large_all_ret_only—
- datalyes/patembed-large_all_no_classif—
Datasets15
- datalyes/retrieval_IN351 downloads
- datalyes/problem2full305 downloads
- datalyes/effect2full297 downloads
- datalyes/title2full249 downloads
- datalyes/problem2solution243 downloads
- datalyes/retrieval_OUT231 downloads
- datalyes/clusters_inventor226 downloads
- datalyes/effect2substance219 downloads
- datalyes/retrieval_MIXED206 downloads
- datalyes/clusters_ext_full_ipc204 downloads
- datalyes/class_bloom191 downloads
- datalyes/para_solution189 downloads
- datalyes/class_text2ipc3182 downloads
- datalyes/class_nli_oldnew174 downloads
- datalyes/para_problem164 downloads
BibTeX
@misc{ayaou2025_251022264,
title = {PatenTEB: A Comprehensive Benchmark and Model Family for Patent Text Embedding},
author = {Iliass Ayaou and Denis Cavallucci},
year = {2025},
eprint = {2510.22264},
archivePrefix = {arXiv},
doi = {10.48550/arXiv.2510.22264},
url = {https://arxiv.org/abs/2510.22264}
}