mteb/trec-covid
TRECCOVID An MTEB dataset Massive Text Embedding Benchmark TRECCOVID is an ad-hoc search challenge based on the COVID-19 dataset containing scientific articles related to the COVID-19 pandemic. Task category t2t Domains Medical, Academic, Written Reference https://ir.nist.gov/covidSubmit/index.html How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/trec-covid.
| Author / organization | mteb |
|---|---|
| Downloads | 8.5K (as reported by Hugging Face) |
| Likes | 5 |
| Created | 2 March 2024 |
| Last updated at source | 24 February 2026 |
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- 17 Oct 2026 Description: TRECCOVID An MTEB dataset Massive Text Embedding Benchmark TRECCOVID is an ad-hoc search challenge based on the COVID-19 dataset containing scientific articles related to the COVID-19 pandemic. Task category t2t Domains Medical, Academic, W → TRECCOVID An MTEB dataset Massive Text Embedding Benchmark TRECCOVID is an ad-hoc search challenge based on the COVID-19 dataset containing scientific articles related to the COVID-19 pandemic. Task category t2t Domains Medical, Academic, W
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