MedNER: Covid-19 drug disease named entity recognition dataset from scientific articles
This dataset contains drug and disease-named entity data for COVID-19-related texts from published papers in IOB format. This dataset has been annotated and verified by domain experts. This dataset has 26528 rows and 3 columns. The first column represents the sentence ID, the second column represent...
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| Main Authors: | , , |
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| Format: | Research Data |
| Language: | en |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/45510/1/drug-disease-iob.csv https://umpir.ump.edu.my/id/eprint/45510/ https://doi.org/10.17632/46p8vp9xts.1 |
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| Summary: | This dataset contains drug and disease-named entity data for COVID-19-related texts from published papers in IOB format. This dataset has been annotated and verified by domain experts. This dataset has 26528 rows and 3 columns. The first column represents the sentence ID, the second column represents the tokens, and the third column contains the drug or disease tag. This dataset contains data for five annotated documents among 25 documents. |
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