mteb/RuBQReranking
RuBQReranking An MTEB dataset Massive Text Embedding Benchmark Paragraph reranking based on RuBQ 2.0. Give paragraphs that answer the question higher scores. Task category t2t Domains Encyclopaedic, Written Referencehttps://openreview.net/pdf?id=P5UQFFoQ4PJ How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["RuBQReranking"]) evaluator = mteb.MTEB(task) model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/RuBQReranking.
| Author / organization | mteb |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 508 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 19 February 2025 |
| Last updated at source | 24 February 2026 |
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