Constarium
← Search

Text · dataset · 2022

Biomedical-TeMU/ProfNER_corpus_NER

Listed in Hugging Face Datasets

Description Gold standard annotations for profession detection in Spanish COVID-19 tweets The entire corpus contains 10,000 annotated tweets.

Description

It has been split into training, validation, and test (60-20-20). The current version contains the training and development set of the shared task with Gold Standard annotations.

In addition, it contains the unannotated test, and background sets will be released. For Named Entity Recognition, profession detection, annotations are distributed… See the full description on the dataset page: huggingface.co/datasets/Biomedical-TeMU/ProfNER_corpus_NER.

Links

Catalogue records · 1

Topics

Stated by source
text
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsBiomedical-TeMU/ProfNER_corpus_NER12 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