GLiNER
Datasets
All datasets matching “GLiNER”gliner-opf-ptbr-pii-bench-v1
PT-BR PII Benchmark v1 — head-to-head
Why this exists
Open-sourced at the request of @arthrod (Arthur Souza Rodrigues) after a two-night sprint training and benchmarking these models on an AMD MI300X. The motivation: there's surprisingly little published head-to-head data comparing MoE-based PII detectors (openai/privacy-filter) against dense small-model approaches (GLiNER on mmBERT/ettin) on a real-world Portuguese task — and the trade-offs turned out to be sharp enough to be… See the full description on the dataset page: https://huggingface.co/datasets/arthrod/gliner-opf-ptbr-pii-bench-v1.gliner_review_comparisongliner-biomed-pre-training
GLiNER-BioMed pre-training dataset
This dataset, used for the pre-training stage of the GLiNER-BioMed models, was introduced in the paper GLiNER-BioMed: a suite of efficient models for open biomedical named entity recognition.
Citation
If you use the GLiNER-BioMed models or datasets in your work, please cite:
@article{yazdani2026gliner,
author = {Yazdani, Anthony and Stepanov, Ihor and Teodoro, Douglas},
title = {{GLiNER-BioMed}: a suite of efficient… See the full description on the dataset page: https://huggingface.co/datasets/anthonyyazdaniml/gliner-biomed-pre-training.gliner2-fr-biomed-v3e-trainset
gliner2-fr-biomed-v3e-trainset
Données d'entraînement synthétiques (distillation Qwen3-235B) du modèle rntc/gliner2-fr-biomed-v3e — GLiNER2 FR biomédical (primitives génériques + role-binding). Aucun gold de benchmark (préserve la généralisation zero-shot).
Format JSONL, une ligne = un exemple :
{"input": "<texte>", "output": {"entities": {"<label>": ["<mention>", ...]},
"classifications": {...}, "json_structures": [{"<section>": {"<champ>": "<valeur>"}}], "relations": [...]}}… See the full description on the dataset page: https://huggingface.co/datasets/rntc/gliner2-fr-biomed-v3e-trainset.gliner-biomed-post-training
GLiNER-BioMed post-training dataset
This dataset, used for the post-training stage of the GLiNER-BioMed models, was introduced in the paper GLiNER-BioMed: a suite of efficient models for open biomedical named entity recognition.
Citation
If you use the GLiNER-BioMed models or datasets in your work, please cite:
@article{yazdani2026gliner,
author = {Yazdani, Anthony and Stepanov, Ihor and Teodoro, Douglas},
title = {{GLiNER-BioMed}: a suite of efficient… See the full description on the dataset page: https://huggingface.co/datasets/anthonyyazdaniml/gliner-biomed-post-training.gliner-biomed-curated-corpus
GLiNER-BioMed curated corpus
Unlabeled corpus introduced in the paper GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition.
Citation
If you use the GLiNER-BioMed models or datasets in your work, please cite:
@misc{yazdani2025glinerbiomedsuiteefficientmodels,
title={GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition},
author={Anthony Yazdani and Ihor Stepanov and Douglas Teodoro}… See the full description on the dataset page: https://huggingface.co/datasets/anthonyyazdaniml/gliner-biomed-curated-corpus.