---
title: ProfNER_corpus_NER
description: Description Gold standard annotations for profession detection in Spanish COVID-19 tweets The entire corpus contains 10,000 annotated tweets. 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…
tags:
- ner
- nlp
license: cc-by-4.0
source_url: https://huggingface.co/datasets/Biomedical-TeMU/ProfNER_corpus_NER
---

# ProfNER_corpus_NER

> **Mirrored metadata.** This card is reproduced on Atlas for discovery. The artifact itself is not hosted here — follow the source link for the files, and refer to the upstream licence for terms of use.

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

Upstream identifier: `Biomedical-TeMU/ProfNER_corpus_NER`.

**Source:** https://huggingface.co/datasets/Biomedical-TeMU/ProfNER_corpus_NER

**Licence:** cc-by-4.0

_This dataset is part of the Atlas demo catalogue. See the repository history for provenance._