nthakur/RetroMAE_BEIR
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webis-touche2020is one of the datasets from the Argument Retrieval task within BEIR, measuring argument retrieval for a given argument title.
BEIR is a heterogeneous benchmark built from 18 diverse datasets representing 9 information retrieval tasks.
This
webis-touche2020subset is the Argument Retrieval task within BEIR.
All tasks are in English (en).
This dataset uses the standard BEIR retrieval layout and includes:
corpus: one row per document with _id, title, textqueries: one row per query with _id, title, text_id (string): unique identifiertitle (string): title (empty string when unavailable)text (string): document/query textA high level example of any BEIR dataset:
corpus = {
"doc1" : {
"title": "Albert Einstein",
"text": "Albert Einstein was a German-born theoretical physicist. who developed the theory of relativity, \
one of the two pillars of modern physics (alongside quantum mechanics). His work is also known for \
its influence on the philosophy of science. He is best known to the general public for his mass–energy \
equivalence formula E = mc2, which has been dubbed 'the world's most famous equation'. He received the 1921 \
Nobel Prize in Physics 'for his services to theoretical physics, and especially for his discovery of the law \
of the photoelectric effect', a pivotal step in the development of quantum theory."
},
"doc2" : {
"title": "", # Keep title an empty string if not present
"text": "Wheat beer is a top-fermented beer which is brewed with a large proportion of wheat relative to the amount of \
malted barley. The two main varieties are German Weißbier and Belgian witbier; other types include Lambic (made\
with wild yeast), Berliner Weisse (a cloudy, sour beer), and Gose (a sour, salty beer)."
},
}
queries = {
"q1" : "Who developed the mass-energy equivalence formula?",
"q2" : "Which beer is brewed with a large proportion of wheat?"
}
qrels = {
"q1" : {"doc1": 1},
"q2" : {"doc2": 1},
}
| Subset | Split | Rows |
|---|---|---|
| corpus | corpus | 382,545 |
| queries | queries | 49 |
You can also download BEIR datasets directly (without loading through Hugging Face datasets) using the links below.
| Dataset | Website | BEIR-Name | Type | Queries | Corpus | Rel D/Q | Down-load | md5 |
|---|---|---|---|---|---|---|---|---|
| MSMARCO | Homepage | msmarco |
train dev test |
6,980 | 8.84M | 1.1 | Link | 444067daf65d982533ea17ebd59501e4 |
| TREC-COVID | Homepage | trec-covid |
test |
50 | 171K | 493.5 | Link | ce62140cb23feb9becf6270d0d1fe6d1 |
| NFCorpus | Homepage | nfcorpus |
train dev test |
323 | 3.6K | 38.2 | Link | a89dba18a62ef92f7d323ec890a0d38d |
| BioASQ | Homepage | bioasq |
train test |
500 | 14.91M | 8.05 | No | How to Reproduce? |
| NQ | Homepage | nq |
train test |
3,452 | 2.68M | 1.2 | Link | d4d3d2e48787a744b6f6e691ff534307 |
| HotpotQA | Homepage | hotpotqa |
train dev test |
7,405 | 5.23M | 2.0 | Link | f412724f78b0d91183a0e86805e16114 |
| FiQA-2018 | Homepage | fiqa |
train dev test |
648 | 57K | 2.6 | Link | 17918ed23cd04fb15047f73e6c3bd9d9 |
| Signal-1M(RT) | Homepage | signal1m |
test |
97 | 2.86M | 19.6 | No | How to Reproduce? |
| TREC-NEWS | Homepage | trec-news |
test |
57 | 595K | 19.6 | No | How to Reproduce? |
| ArguAna | Homepage | arguana |
test |
1,406 | 8.67K | 1.0 | Link | 8ad3e3c2a5867cdced806d6503f29b99 |
| Touche-2020 | Homepage | webis-touche2020 |
test |
49 | 382K | 19.0 | Link | 46f650ba5a527fc69e0a6521c5a23563 |
| CQADupstack | Homepage | cqadupstack |
test |
13,145 | 457K | 1.4 | Link | 4e41456d7df8ee7760a7f866133bda78 |
| Quora | Homepage | quora |
dev test |
10,000 | 523K | 1.6 | Link | 18fb154900ba42a600f84b839c173167 |
| DBPedia | Homepage | dbpedia-entity |
dev test |
400 | 4.63M | 38.2 | Link | c2a39eb420a3164af735795df012ac2c |
| SCIDOCS | Homepage | scidocs |
test |
1,000 | 25K | 4.9 | Link | 38121350fc3a4d2f48850f6aff52e4a9 |
| FEVER | Homepage | fever |
train dev test |
6,666 | 5.42M | 1.2 | Link | 5a818580227bfb4b35bb6fa46d9b6c03 |
| Climate-FEVER | Homepage | climate-fever |
test |
1,535 | 5.42M | 3.0 | Link | 8b66f0a9126c521bae2bde127b4dc99d |
| SciFact | Homepage | scifact |
train test |
300 | 5K | 1.1 | Link | 5f7d1de60b170fc8027bb7898e2efca1 |
| Robust04 | Homepage | robust04 |
test |
249 | 528K | 69.9 | No | How to Reproduce? |
@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}
}