Datasets:
Tasks:
Text Retrieval
ArXiv:
metadata
pretty_name: '`beir/quora`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
Dataset Card for beir/quora
The beir/quora
dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
Data
This dataset provides:
docs
(documents, i.e., the corpus); count=522,931queries
(i.e., topics); count=15,000
This dataset is used by: beir_quora_dev
, beir_quora_test
Usage
from datasets import load_dataset
docs = load_dataset('irds/beir_quora', 'docs')
for record in docs:
record # {'doc_id': ..., 'text': ...}
queries = load_dataset('irds/beir_quora', 'queries')
for record in queries:
record # {'query_id': ..., 'text': ...}
Note that calling load_dataset
will download the dataset (or provide access instructions when it's not public) and make a copy of the
data in 🤗 Dataset format.
Citation Information
@article{Thakur2021Beir,
title = "BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models",
author = "Thakur, Nandan and Reimers, Nils and Rücklé, Andreas and Srivastava, Abhishek and Gurevych, Iryna",
journal= "arXiv preprint arXiv:2104.08663",
month = "4",
year = "2021",
url = "https://arxiv.org/abs/2104.08663",
}