lucaswychan/t2ranking-hard-neg-reasoning-embedding
Do Reasoning Models Enhance Embedding Models? Introduction This is the dataset used to train the embedding models in the paper Do Reasoning Models Enhance Embedding Models?. We use Qwen3-Embedding-0.6B to mine 3 hard negatives per query, and employ the positive-aware hard negative mining technique introduced in NV-Retriever with 95% margin to the positive score. Abstract State-of-the-art… See the full description on the dataset page: https://huggingface.co/datasets/lucaswychan/t2ranking-hard-neg-reasoning-embedding.
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