mteb/ESCIReranking
ESCIReranking An MTEB dataset Massive Text Embedding Benchmark Task category t2t Domains Written Reference https://github.com/amazon-science/esci-data/ 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(["ESCIReranking"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL) evaluator.run(model) To learn more about how to run models on mteb task check out… See the full description on the dataset page: https://huggingface.co/datasets/mteb/ESCIReranking.
| Author / organization | mteb |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 352 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 18 February 2025 |
| Last updated at source | 3 May 2025 |
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