Biomedical-TeMU/ProfNER_corpus_NER
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 released. For Named Entity Recognition, profession detection, annotations are… See the full description on the dataset page: https://huggingface.co/datasets/Biomedical-TeMU/ProfNER_corpus_NER.
| Author / organization | Biomedical-TeMU |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 2 |
| Created | 10 March 2022 |
| Last updated at source | 10 March 2022 |
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- 16 Oct 2026 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 → 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
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