cl-nagoya/ruri-v3-dataset-reranker
Created from hpprc/reranker-scores. We found that cleaning up noisy positives and negatives in our existing dataset using rerankers' scores had a massive impact on performance. Concretely: We averaged the scores from five off‑the‑shelf reranker models. For "positive" examples (documents that contain the answer string for a given query), we only kept those with an average score ≥ 0.3. For "negative" examples (documents that do not contain the answer string), we only kept those with an average… See the full description on the dataset page: https://huggingface.co/datasets/cl-nagoya/ruri-v3-datase
| Author / organization | cl-nagoya |
|---|---|
| License (as declared) | other |
| Downloads | 362 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 6 April 2025 |
| Last updated at source | 9 May 2025 |
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- cl-nagoya/ruri-v3-reranker-310mModel · used to train
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