Amazon QA — Electronics

A Amazon dataset of 314,263 QA pairs in Electronics, 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 Electronics. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

#Asin#Electronics#Product question answering

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Analytics

Content metrics

314,263 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

unixTimeμ 1.3B ± 239.8M
min 0max 1.4B
has answer100.0% true
true 100.0%false 0.0%
is yes no52.7% true
true 52.7%false 47.3%
is open ended47.3% true
true 47.3%false 52.7%
6.0
Flesch–Kincaid grade
US school grade level
5.7
Automated readability index
Frequent terms
worklensuseyescameraneedfitdonknowgoodlikecablecanonworkssurepowernikonwantspeakersfilterbuycomputeradaptercompatiblegreatplugbatteryunitthinksonysoundboughtnewsizeplayercomebetterusblongmountmodelamazontimecardvideohopecasewayconnectproduct
Topic clusters

Topic 0

lens
canon
focus
nikon
work
camera
rebel
eos

Topic 1

router
work
usb
mouse
port
computer
windows
keyboard

Topic 2

power
battery
plug
cord
cable
surge
outlet
supply

Topic 3

headphone
phone
headset
ear
jack
sound
plug
volume

Topic 4

speaker
receiver
amp
sound
stereo
channel
sub
bose

Topic 5

buy
warranty
sorry
year
price
amazon
thank
know

Topic 6

camera
film
sony
work
polaroid
battery
camcorder
video

Topic 7

mount
inch
dimension
wall
hole
bracket
screw
plastic

Topic 8

tape
play
dvd
cassette
player
record
disc
vhs

Topic 9

strap
case
slide
paper
come
page
black
belt

Topic 10

filter
lens
cap
size
hood
fit
nikon
thread

Topic 11

yes
sir
definitly
alex
treadmill
technically
slave
dose
Top hashtags
#216
#111
#xff1f11
#1280779
#x200b9
#tab8
#37
#3636
#652926
#44
#82434
#suppliesandaccessories4
#6703
#936403
#s3
#1282
#1285222
#265032
#536152
#62

Sampled: text metrics from 50K of 628.5K records; topic model from 20K.

Record

Catalog key
amazon_qa_Electronics
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
314,263
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, 32.9 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 — Electronics [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 — Electronics. 2016, doi.org/10.1109/ICDM.2016.0060.

BibTeX · RIS · CSL-JSON

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