ECHOExploratory Compendium of Humanity Online

Amazon QA — Software

AnalyzedMediumtextAmazonE commerceEngagementKnowledge sharingQ&A

A Amazon dataset of 10,636 QA pairs in Software, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Software. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

#Product question answering#Question answering#Software

Cite this dataset at amazon-qa-software.echo.directory

Download data BibTeX JSONSimilar datasets

Analytics

Content metrics

10,636 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

unixTimeμ 1.4B ± 202.2M
min 0max 1.4B
is yes no54.3% true
true 54.3%false 45.7%
is open ended45.7% true
true 45.7%false 54.3%
6.6
Flesch–Kincaid grade
US school grade level
6.2
Automated readability index
Frequent terms
windowsversionworkusesoftwareyesprogramcomputerinstallmacneedproductdownloaddonknownewlikeupgradeworksbuywantrunbitfilegoodsuretimedvdfilescomputersinstalledprocompatiblemicrosoftablesystemyearamazonsupportvideokeyvistalicensefreethinkhelppurchaseoldofficedrive
Topic clusters

Topic 0

video
dvd
program
use
photoshop
file
photo
software

Topic 1

license
key
product
download
number
disc
amazon
purchase

Topic 2

mac
work
apple
leopard
run
lion
version
macbook

Topic 3

quicken
year
quickbooks
subscription
payroll
intuit
datum
renew

Topic 4

office
windows
microsoft
outlook
word
run
work
window

Topic 5

computer
install
instal
laptop
download
new
program
desktop

Topic 6

bit
windows
upgrade
version
vista
window
run
work

Topic 7

norton
virus
security
anti
antivirus
kaspersky
internet
protection

Topic 8

yes
love
linda
bit
bookkeeper
yea
entourage
tho

Topic 9

version
upgrade
update
late
old
new
buy
free

Topic 10

state
tax
turbotax
return
federal
turbo
file
deluxe

Topic 11

sorry
know
fluenz
question
answer
think
sure
good
Top hashtags
#115
#97029
#37
#652795
#23
#1285222
#4602
#67208105222
#72
#82
#97862
#store2
#0021
#12062661
#151
#161
#191
#251
#41
#4072861

Computed over the full corpus.

Record

Catalog key
amazon_qa_Software
Authors
Wan, Mengting; McAuley, Julian
Year
2016
Source paper
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems
DOI / arXiv
10.1109/ICDM.2016.0060
License
No licence stated by the authors (citation requested)
Records
10,636
Languages
en
Collected
2013-2015 (2010s)
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://cseweb.ucsd.edu/~jmcauley/datasets.html#amazon_qa link checked
Hosted copy
Mirrored on echo.directory on 2026-10-02, 1.1 MB across 1 files. Checksums in MANIFEST.json.

How to cite

BibTeX

@misc{echo2026,
  title  = {ECHO: Exploratory Compendium of Humanity Online},
  author = {Switzer, Braden and Zafarani, Reza},
  year   = {2026},
  url    = {https://echo.directory},
  note   = {Syracuse University}
}

@inproceedings{Wan_2016,
  title     = {Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems},
  url       = {http://dx.doi.org/10.1109/ICDM.2016.0060},
  doi       = {10.1109/icdm.2016.0060},
  booktitle = {2016 IEEE 16th International Conference on Data Mining (ICDM)},
  publisher = {IEEE},
  author    = {Wan, Mengting and McAuley, Julian},
  year      = {2016},
  month     = Dec,
  pages     = {489–498}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Wan, M., & McAuley, J. (2016). Amazon QA — Software [Data set]. https://doi.org/10.1109/ICDM.2016.0060

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Wan, Mengting, and Julian McAuley. Amazon QA — Software. 2016, doi.org/10.1109/ICDM.2016.0060.

BibTeX · RIS · CSL-JSON

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