Datasets:

Task Categories: question-answering
Languages: en
Multilinguality: multilingual
Size Categories: unknown
Language Creators: found
Annotations Creators: found
Source Datasets: original

Dataset Card Creation Guide

Dataset Summary

We automatically extracted question and answer (Q&A) pairs from Stack Exchange network. Stack Exchange gather many Q&A communities across 50 online plateform, including the well known Stack Overflow and other technical sites. 100 millon developpers consult Stack Exchange every month. The dataset is a parallel corpus with each question mapped to the top rated answer. The dataset is split given communities which cover a variety of domains from 3d printing, economics, raspberry pi or emacs. An exhaustive list of all communities is available here.

Languages

Stack Exchange mainly consist of english language (en).

Dataset Structure

Data Instances

Each data samples is presented as follow:

{'title_body': "Is there a Stack Exchange icon available? StackAuth /sites route provides all the site's icons except for the one of the Stack Exchange master site.\nCould you please provide it in some way (a static SVG would be good)?",
 'upvoted_answer': 'Here it is!\n\nDead link: SVG version here\nNote: the same restrictions on this trademarked icon that apply here, also apply to the icon above.',
 'downvoted_answer': 'No, the /sites route is not the right place for that.\n\n/sites enumerates all websites that expose API end-points. StackExchange.com does not expose such an endpoint, so it does not (and will not) appear in the results.'}

This particular exampe corresponds to the following page

Data Fields

The fields present in the dataset contain the following informations:

  • title_body: This is the concatenation of the title and body from the question
  • upvoted_answer: This is the body from the most upvoted answer

Data Splits

We provide multiple splits for this dataset, which each refers to a given community channel. We detail the number of pail for each split below:

Number of pairs
gaming 82,887
dba 71,449
codereview 41,748
gis 100,254
english 100,640
mathoverflow 85,289
askubuntu 267,135
electronics 129,494
apple 92,487
diy 52,896
magento 79,241
gamedev 40,154
mathematica 59,895
ell 77,892
judaism 26,085
drupal 67,817
blender 54,153
biology 19,277
android 38,077
crypto 19,404
christianity 11,498
cs 30,010
academia 32,137
chemistry 27,061
aviation 18,755
history 10,766
japanese 20,948
cooking 22,641
law 16,133
hermeneutics 9,516
hinduism 8,999
graphicdesign 28,083
dsp 17,430
bicycles 15,708
ethereum 26,124
ja 17,376
arduino 16,281
bitcoin 22,474
islam 10,052
datascience 20,503
german 13,733
codegolf 8,211
boardgames 11,805
economics 8,844
emacs 16,830
buddhism 6,787
gardening 13,246
astronomy 9,086
anime 10,131
fitness 8,297
cstheory 7,742
engineering 8,649
chinese 8,646
linguistics 6,843
cogsci 5,101
french 10,578
literature 3,539
ai 5,763
craftcms 11,236
health 4,494
chess 6,392
interpersonal 3,398
expressionengine 10,742
earthscience 4,396
civicrm 10,648
joomla 5,887
homebrew 5,608
latin 3,969
ham 3,501
hsm 2,517
avp 6,450
expatriates 4,913
matheducators 2,706
genealogy 2,895
3dprinting 3,488
devops 3,462
bioinformatics 3,135
computergraphics 2,306
elementaryos 5,917
martialarts 1,737
hardwarerecs 2,050
lifehacks 2,576
crafts 1,659
italian 3,101
freelancing 1,663
materials 1,101
bricks 3,530
cseducators 902
eosio 1,940
iot 1,359
languagelearning 948
beer 1,012
ebooks 1,107
coffee 1,188
esperanto 1,466
korean 1,406
cardano 248
conlang 334
drones 496
iota 775
salesforce 87,272
wordpress 83,621
rpg 40,435
scifi 54,805
stats 115,679
serverfault 238,507
physics 141,230
sharepoint 80,420
security 51,355
worldbuilding 26,210
softwareengineering 51,326
superuser 352,610
meta 1,000
money 29,404
travel 36,533
photo 23,204
webmasters 30,370
workplace 24,012
ux 28,901
philosophy 13,114
music 19,936
politics 11,047
movies 18,243
space 12,893
skeptics 8,145
raspberrypi 24,143
rus 16,528
puzzling 17,448
webapps 24,867
mechanics 18,613
writers 9,867
networkengineering 12,590
parenting 5,998
softwarerecs 11,761
quant 12,933
spanish 7,675
scicomp 7,036
pets 6,156
sqa 9,256
sitecore 7,838
vi 9,000
outdoors 5,278
sound 8,303
pm 5,435
reverseengineering 5,817
retrocomputing 3,907
tridion 5,907
quantumcomputing 4,320
sports 4,707
robotics 4,648
russian 3,937
opensource 3,221
woodworking 2,955
ukrainian 1,767
opendata 3,842
patents 3,573
mythology 1,595
portuguese 1,964
tor 4,167
monero 3,508
sustainability 1,674
musicfans 2,431
poker 1,665
or 1,490
windowsphone 2,807
stackapps 1,518
moderators 504
vegetarianism 585
tezos 1,169
stellar 1,078
pt 103,277
unix 155,414
tex 171,628
ru 253,289
total 4,750,619

Dataset Creation

Curation Rationale

We primary designed this dataset for sentence embeddings training. Indeed sentence embeddings may be trained using a contrastive learning setup for which the model is trained to associate each sentence with its corresponding pair out of multiple proposition. Such models require many examples to be efficient and thus the dataset creation may be tedious. Community networks such as Stack Exchange allow us to build many examples semi-automatically.

Source Data

The source data are dumps from Stack Exchange

Initial Data Collection and Normalization

We collected the data from the math community.

We filtered out questions which title or body length is bellow 20 characters and questions for which body length is above 4096 characters.

Who are the source language producers?

Questions and answers are written by the community developpers of Stack Exchange.

Additional Information

Licensing Information

Please see the license information at: https://archive.org/details/stackexchange

Citation Information

@misc{StackExchangeDataset,
  author = {Flax Sentence Embeddings Team},
  title = {Stack Exchange question pairs},
  year = {2021},
  howpublished = {https://huggingface.co/datasets/flax-sentence-embeddings/},
}

Contributions

Thanks to the Flax Sentence Embeddings team for adding this dataset.

Models trained or fine-tuned on flax-sentence-embeddings/stackexchange_title_best_voted_answer_jsonl