MODEL PROFILE

dpr-question_encoder-single-nq-base

facebook · dpr-question_encoder-single-nq-base

- Model Details - How To Get Started With the Model - Uses - Risks, Limitations and Biases - Training - Evaluation - Environmental Impact - Technical Specifications - Citation Information - Model Card Authors **Model Description:** Dense Passage Retrieval (DPR) is a set of tools and models for state-of-the-art open-domain Q&A research. `dpr-question_encoder-single-nq-base` is the question encoder trained using the Natural Questions (NQ) dataset (Lee et al., 2019; Kwiatkowski et al., 2019). - **Developed by:** See GitHub repo for model developers - **Model Type:** BERT-based encoder - **Language(s):** CC-BY-NC-4.0, also see Code of Conduct - **License:** English - **Related Models:** - `dpr-ctx_encoder-single-nq-base` - `dpr-reader-single-nq-base` - `dpr-ctx_encoder-multiset-base` - `dpr-question_encoder-multiset-base` - `dpr-reader-multiset-base` - **Resources for more information:** - Research Paper - GitHub Repo - Hugging Face DPR docs - BERT Base Uncased Model Card

Embeddings & similaritylicense:cc-by-nc-4.0
Context windowNot disclosed
Input → OutputText → Embedding
Model weightsNot verified
Profile updated2026/11/2 19:16:26
OVERVIEW

Model overview

- Model Details - How To Get Started With the Model - Uses - Risks, Limitations and Biases - Training - Evaluation - Environmental Impact - Technical Specifications - Citation Information - Model Card Authors **Model Description:** Dense Passage Retrieval (DPR) is a set of tools and models for state-of-the-art open-domain Q&A research. `dpr-question_encoder-single-nq-base` is the question encoder trained using the Natural Questions (NQ) dataset (Lee et al., 2019; Kwiatkowski et al., 2019). - **Developed by:** See GitHub repo for model developers - **Model Type:** BERT-based encoder - **Language(s):** CC-BY-NC-4.0, also see Code of Conduct - **License:** English - **Related Models:** - `dpr-ctx_encoder-single-nq-base` - `dpr-reader-single-nq-base` - `dpr-ctx_encoder-multiset-base` - `dpr-question_encoder-multiset-base` - `dpr-reader-multiset-base` - **Resources for more information:** - Research Paper - GitHub Repo - Hugging Face DPR docs - BERT Base Uncased Model Card

Key features

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Sources & traceability

许可证:cc-by-nc-4.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。