BEIR
Zero-shot retrieval quality across a heterogeneous set of IR tasks and domains, providing a common framework for comparing NLP-based retrieval models.
Reference paper →Cite this benchmark
Citation (BibTeX)
@inproceedings{thakur2021beir,
author = {Nandan Thakur and Nils Reimers and Andreas R{\"u}ckl{\'e} and Abhishek Srivastava and Iryna Gurevych},
booktitle = {Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2)},
title = {{BEIR}: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models},
url = {https://openreview.net/forum?id=wCu6T5xFjeJ},
year = {2021},
}
Languages 1
Tasks 15
Task Types 1
Models 0