Table · dataset · 2022

SwedMedNER

Listed in Hugging Face Datasets

Dataset Card for swedish_medical_ner Dataset

Description

Summary

SwedMedNER is Named Entity Recognition dataset on medical text in Swedish. It consists three subsets which are in turn derived from three different sources respectively: the Swedish Wikipedia (a.k.a. wiki), Läkartidningen (a.k.a. lt), and 1177 Vårdguiden (a.k.a. 1177). While the Swedish Wikipedia and Läkartidningen subsets in total contains over 790000 sequences with 60 characters each, the 1177 Vårdguiden subset is… See the full description on the dataset page: huggingface.co/datasets/community-datasets/swedish_medical_ner.

Topics

Stated by source: text · token classification
From keywords: Computer Science & AI
Inferred from text: Text 75%

Provenance · 1 source records, 11 field assertions

Source	Key	Last seen	Raw
Hugging Face Datasets	community-datasets/swedish_medical_ner	12 d ago	JSON v1

Field	Assertion	Extractor	Evidence
access_level	source · Hugging Face	connector:huggingface@1.0.0	/gated
concepts[field].local:field:computer-science-ai	mapping · Hugging Face	connector:huggingface@1.0.0
concepts[modality].hf_modality:text	source · Hugging Face	connector:huggingface@1.0.0
concepts[modality].local:modality:text	enrichment · Hugging Face	keyword-concept-rules@1.0.0	title+description (75%)
concepts[task].hf_task:token-classification	source · Hugging Face	connector:huggingface@1.0.0	/tags[task_categories:*]
created_date	source · Hugging Face	connector:huggingface@1.0.0
description	source · Hugging Face	connector:huggingface@1.0.0	/description
license	source · Hugging Face	connector:huggingface@1.0.0	/tags[license:*]
publication_date	source · Hugging Face	connector:huggingface@1.0.0
title	source · Hugging Face	connector:huggingface@1.0.0	/id
updated_date	source · Hugging Face	connector:huggingface@1.0.0

SwedMedNER

Description

Summary

Links

Where it is published

Topics