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Table · dataset · 2022

CARES

Listed in Hugging Face Datasets

Description

CARES - A Corpus of Anonymised Radiological Evidences in Spanish 📑🏥 CARES is a high-quality text resource manually labeled with ICD-10 codes and reviewed by radiologists. These types of resources are essential for developing automatic text classification tools as they are necessary for training and fine-tuning our computational systems. The CARES corpus has been manually annotated using the ICD-10 ontology, which stands for for the 10th version of the International Classification… See the full description on the dataset page: huggingface.co/datasets/chizhikchi/CARES_random.

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Catalogue records · 1

Topics

Stated by source
tabular · text · text classification
Inferred from text
Text 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetschizhikchi/CARES_random14 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:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0