KaLM-Embedding/KaLM-reranker-training-data

Lychee-KaLM-Reranker Training Data A large-scale, ready-to-use multilingual dataset for fine-tuning reranking models. This repository contains 3,885,265 training samples collected from 54 datasets, covering English, Chinese, and multilingual retrieval tasks. Each sample includes task instructions, positive passages, at least 16 hard negatives, and teacher scores annotated by Qwen3-Reranker-8B. When expanded into point-wise query–passage pairs, the dataset provides at least 66… See the full description on the dataset page: https://huggingface.co/datasets/KaLM-Embedding/KaLM-reranker-training-da

<iframe src="https://silytics.si/embed/item/eb54764e-bb76-40d1-946c-568ca63c61e6" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.