BeIR/cqadupstack

Dataset Card for BEIR Benchmark

Dataset Summary

BEIR is a heterogeneous benchmark built from 18 diverse datasets representing 9 information retrieval tasks.

• Fact-checking: FEVER, Climate-FEVER, SciFact
• Question-Answering: NQ, HotpotQA, FiQA-2018
• Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus
• News Retrieval: TREC-NEWS, Robust04
• Argument Retrieval: Touche-2020, ArguAna
• Duplicate Question Retrieval: Quora, CqaDupstack
• Citation-Prediction: SCIDOCS
• Tweet Retrieval: Signal-1M
• Entity Retrieval: DBPedia

This cqadupstack subset is the Duplicate Question Retrieval task within BEIR, with 12 domains.

Languages

All tasks are in English (en).

Dataset Structure

This dataset uses the standard BEIR retrieval layout with 12 domain configs: android, english, gaming, gis, mathematica, physics, programmers, stats, tex, unix, webmasters, wordpress.

Each config includes:

• corpus: one row per document with _id, title, text
• queries: one row per query with _id, title, text

Data Fields

• _id (string): unique identifier
• title (string): title (empty string when unavailable)
• text (string): document/query text

CQADupstack Data Splits

Domain	Split	Rows
android	corpus	22,998
android	queries	699
english	corpus	40,221
english	queries	1,570
gaming	corpus	45,301
gaming	queries	1,595
gis	corpus	37,637
gis	queries	885
mathematica	corpus	16,705
mathematica	queries	804
physics	corpus	38,316
physics	queries	1,039
programmers	corpus	32,176
programmers	queries	876
stats	corpus	42,269
stats	queries	652
tex	corpus	68,184
tex	queries	2,906
unix	corpus	47,382
unix	queries	1,072
webmasters	corpus	17,405
webmasters	queries	506
wordpress	corpus	48,605
wordpress	queries	541

Citation Information

@inproceedings{
thakur2021beir,
title={{BEIR}: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models},
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)},
year={2021},
url={https://openreview.net/forum?id=wCu6T5xFjeJ}
}