#106 · Primary category： NLP Tools & Text Processing
primeqa
The prime repository for state-of-the-art Multilingual Question Answering research and development.
Project last updated：09/18/25
GitHub Stars
739
Forks
57
Contributors
64
License
Apache-2.0
Why we included this project
PrimeQA covers the full multilingual question-answering stack rather than shipping a single model. It pairs classic retrieval like BM25 with neural retrievers such as ColBERT and DPR, then feeds the results into extractive or generative reading comprehension, so a retrieve-then-read pipeline can be assembled from one codebase. Because it is built on Hugging Face Transformers and datasets, pretrained checkpoints and evaluation data download directly. Fine-tuning on your own documents is a normal training run. Researchers can reproduce published NLP experiments, and the question generation and table QA components stretch the toolkit past plain text passages. That is a lot of ground for one codebase to cover.
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