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---
datasets:
- allenai/qasper
language:
- en
library_name: transformers
pipeline_tag: sentence-similarity
license: apache-2.0
---
# SciDPR Question Encoder

<!-- Provide a quick summary of what the model is/does. -->



## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->
Dense Passage Retrieval (DPR) is a set of tools and models for state-of-the-art open-domain Q&A research. scidpr-question-encoder is the Question Encoder trained using the Scientific Question Answer (QA) dataset (Pradeep et al., 2021).


- **Developed by:** See [GitHub repo](https://github.com/gmftbyGMFTBY/science-llm) for model developers
- **Model type:** BERT-based encoder
- **Language(s) (NLP):** [Apache 2.0](https://github.com/gmftbyGMFTBY/science-llm/blob/main/LICENSE)
- **License:** English

### Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Repository:** [Github Repo](https://github.com/gmftbyGMFTBY/science-llm)
- **Paper [optional]:** [Paper Repo]()