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01lucaswychan /dureader-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.texttext-retrieval10K<n<100K0 likes46 downloads7mo agoHugging Face02lucaswychan /allnli-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/allnli-hard-neg-reasoning-embedding.texttext-retrieval100K<n<1M0 likes37 downloads7mo agoHugging Face03lucaswychan /hotpotqa-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/hotpotqa-hard-neg-reasoning-embedding.texttext-retrieval100K<n<1M0 likes37 downloads7mo agoHugging Face04lucaswychan /squad-pairs-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/squad-pairs-hard-neg-reasoning-embedding.texttext-retrieval10K<n<100K0 likes27 downloads7mo agoHugging Face05lucaswychan /mrtydi-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/mrtydi-reasoning-embedding.texttext-retrieval100K<n<1M0 likes26 downloads7mo agoHugging Face06lucaswychan /msmarco-triplets-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/msmarco-triplets-hard-neg-reasoning-embedding.texttext-retrieval100K<n<1M0 likes25 downloads7mo agoHugging Face07lucaswychan /quora_duplicates-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/quora_duplicates-hard-neg-reasoning-embedding.texttext-retrieval10K<n<100K0 likes23 downloads7mo agoHugging Face08lucaswychan /fever-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/fever-hard-neg-reasoning-embedding.texttext-retrieval100K<n<1M0 likes22 downloads7mo agoHugging Face09lucaswychan /nq-train-pairs-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/nq-train-pairs-hard-neg-reasoning-embedding.texttext-retrieval10K<n<100K0 likes21 downloads7mo agoHugging Face10lucaswychan /CoT-Hard-Reasoning-Embedding Do Reasoning Models Enhance Embedding Models? Introduction This is the dataset used to evaluate the model similarity with the Hierarchical Representation Similarity Analysis (HRSA) framework in the paper Do Reasoning Models Enhance Embedding Models?. To verify if the latent manifold is preserved even within reasoning trajectories, we construct a Chain-of-Thought (CoT) dataset. Unlike standard semantic datasets, this corpus… See the full description on the dataset page: https://huggingface.co/datasets/lucaswychan/CoT-Hard-Reasoning-Embedding.texttext-generationn<1K0 likes20 downloads7mo agoHugging Face11lucaswychan /triviaqa-pairs-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/triviaqa-pairs-hard-neg-reasoning-embedding.texttext-retrieval10K<n<100K0 likes19 downloads7mo agoHugging Face12lucaswychan /CoT-Moderate-Reasoning-Embedding Do Reasoning Models Enhance Embedding Models? Introduction This is the dataset used to evaluate the model similarity with the Hierarchical Representation Similarity Analysis (HRSA) framework in the paper Do Reasoning Models Enhance Embedding Models?. To verify if the latent manifold is preserved even within reasoning trajectories, we construct a Chain-of-Thought (CoT) dataset. Unlike standard semantic datasets, this corpus… See the full description on the dataset page: https://huggingface.co/datasets/lucaswychan/CoT-Moderate-Reasoning-Embedding.texttext-generationn<1K0 likes18 downloads7mo agoHugging Face13lucaswychan /CoT-Easy-Reasoning-Embedding Do Reasoning Models Enhance Embedding Models? Introduction This is the dataset used to evaluate the model similarity with the Hierarchical Representation Similarity Analysis (HRSA) framework in the paper Do Reasoning Models Enhance Embedding Models?. To verify if the latent manifold is preserved even within reasoning trajectories, we construct a Chain-of-Thought (CoT) dataset. Unlike standard semantic datasets, this corpus… See the full description on the dataset page: https://huggingface.co/datasets/lucaswychan/CoT-Easy-Reasoning-Embedding.texttext-generationn<1K0 likes18 downloads7mo agoHugging Face14lucaswychan /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 embedding models are… See the full description on the dataset page: https://huggingface.co/datasets/lucaswychan/t2ranking-hard-neg-reasoning-embedding.texttext-retrieval10K<n<100K0 likes13 downloads7mo agoHugging Face

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