metadata

annotations_creators:
  - found
language_creators:
  - found
language:
  - en
license:
  - cc-by-nc-sa-4.0
multilinguality:
  - multilingual
pretty_name: stackexchange
size_categories:
  - unknown
source_datasets:
  - original
task_categories:
  - question-answering
task_ids:
  - closed-domain-qa

Dataset Card Creation Guide

Dataset Card Creation Guide

Dataset Description

Homepage: stackexchange
Repository: flax-sentence-embeddings

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.

Datasets:

flax-sentence-embeddings
/

stackexchange_title_best_voted_answer_jsonl