reasoning-embedding
Nemotron-Research-Reasoning-Qwen-1.5B-Reasoning-Embedding-GGUFQwen2.5-Math-1.5B-Reasoning-EmbeddingDeepSeek-R1-Distill-Qwen-1.5B-Reasoning-EmbeddingQwen2.5-0.5B-checkpoint-400-Reasoning-EmbeddingQwen2.5-1.5B-Reasoning-EmbeddingQwen3-0.6B-Reasoning-EmbeddingQwen2.5-1.5B-checkpoint-600-Reasoning-EmbeddingQwen3-0.6B-checkpoint-400-Reasoning-Embedding
msmarco-triplets-hard-neg-reasoning-embedding-modified-SFT-4B-doc4096-seq1024-v2-parts-0-4msmarco-triplets-hard-neg-reasoning-embedding-modified-SFT-4B-doc4096-seq1024-v2-parts-5-9triviaqa-pairs-hard-neg-reasoning-embedding-modified-SFT-4B-doc4096-seq1024-v2-parts-0-0squad-pairs-hard-neg-reasoning-embedding-modified-SFT-4B-doc4096-seq1024-v2-parts-0-1nq-train-pairs-hard-neg-reasoning-embedding-modified-SFT-4B-doc4096-seq1024-v2-parts-0-1dureader-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 embedding models are… See the full description on the dataset page: https://huggingface.co/datasets/lucaswychan/dureader-hard-neg-reasoning-embedding.