whybe-choi/trec-dl-2020
TRECDL2020 An MTEB dataset Massive Text Embedding Benchmark TREC Deep Learning Track 2020 passage ranking task. The task involves retrieving relevant passages from the MS MARCO collection given web search queries. Queries have multi-graded relevance judgments. Task category t2t Domains Encyclopaedic, Academic, Blog, News, Medical, Government, Reviews, Non-fiction, Social, Web Reference https://microsoft.github.io/msmarco/TREC-Deep-Learning-2020 How to… See the full description on the dataset page: https://huggingface.co/datasets/whybe-choi/trec-dl-2020.
| Author / organization | whybe-choi |
|---|---|
| License (as declared) | other |
| Downloads | 132 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 17 October 2025 |
| Last updated at source | 20 October 2025 |
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- 17 Oct 2026 Description: TRECDL2020 An MTEB dataset Massive Text Embedding Benchmark TREC Deep Learning Track 2020 passage ranking task. The task involves retrieving relevant passages from the MS MARCO collection given web search queries. Queries have multi-graded → TRECDL2020 An MTEB dataset Massive Text Embedding Benchmark TREC Deep Learning Track 2020 passage ranking task. The task involves retrieving relevant passages from the MS MARCO collection given web search queries. Queries have multi-graded
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