Constarium
← Search

Text · dataset · 2022

Biomedical-TeMU/SPACCC_Sentence-Splitter

Listed in Hugging Face Datasets

Description

The Sentence Splitter (SS) for Clinical Cases Written in Spanish Introduction This repository contains the sentence splitting model trained using the SPACCC_SPLIT corpus (github.com/PlanTL-SANIDAD/SPACCC_SPLIT). The model was trained using the 90% of the corpus (900 clinical cases) and tested against the 10% (100 clinical cases). This model is a great resource to split sentences in biomedical documents, specially clinical cases written in Spanish.

This model… See the full description on the dataset page: huggingface.co/datasets/Biomedical-TeMU/SPACCC_Sentence-Splitter.

Links

Topics

Stated by source
text
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsBiomedical-TeMU/SPACCC_Sentence-Splitter12 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0