Amazon QA — Home & Kitchen

A Amazon dataset of 184,439 QA pairs in Home & Kitchen, 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 Home & Kitchen. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

#Home and kitchen#Mcauley#Product question answering#Question answering

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Analytics

Content metrics

184,439 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

unixTimeμ 1.4B ± 235.5M
min 0max 1.4B
has answer100.0% true
true 100.0%false 0.0%
is yes no41.4% true
true 41.4%false 58.6%
is open ended58.6% true
true 58.6%false 41.4%
5.1
Flesch–Kincaid grade
US school grade level
5.0
Automated readability index
Frequent terms
useyeslikefitdonworkwaterknowpaninchesneedsizegoodsurecoffeemodelplasticthinklidtimeproductgreathopelongfiltercuppotwantsetcomehelpsinsidehandleworksboughtsmallsteelholddiameterbuycleanglasshotstainlessunitbowlovenlittlefinelove
Topic clusters

Topic 0

model
amazon
warranty
sorry
ship
know
order
box

Topic 1

coffee
cup
grind
grinder
water
ground
press
use

Topic 2

knife
blade
slice
sharpen
cut
potato
juice
peel

Topic 3

shelf
wall
hang
mount
screw
plastic
hook
hole

Topic 4

inch
dimension
diameter
height
measure
wide
deep
tall

Topic 5

fan
heater
timer
window
air
turn
temperature
unit

Topic 6

cake
oven
bread
pizza
pan
dough
bake
stone

Topic 7

pan
lid
pot
fit
skillet
inch
quart
diameter

Topic 8

lid
jar
bottle
seal
spice
mouth
leak
container

Topic 9

dishwasher
clean
safe
wash
rust
soap
water
easy

Topic 10

induction
stove
cooktop
glass
gas
work
burner
magnet

Topic 11

filter
pitcher
water
hepa
air
honeywell
replacement
model
Show all 19 topics

Topic 12

blanket
blue
twin
wash
smell
vellux
chemical
nylon

Topic 13

bowl
mixer
kitchenaid
fit
beater
model
stand
aid

Topic 14

power
battery
cord
volt
amp
voltage
watt
plug

Topic 15

china
country
product
usa
japan
germany
origin
manufacture

Topic 16

bag
vacuum
belt
carpet
hoover
hose
fit
model

Topic 17

stick
non
pan
iron
cast
aluminum
teflon
coating

Topic 18

yes
sure
independent
yep
yup
gram
function
degree
Top hashtags
#220
#417
#966015
#112
#85958
#107
#67
#85
#88055
#97345
#54
#33
#403
#652813
#xff1f3
#1022
#122
#162
#202
#2212

Sampled: text metrics from 50K of 368.9K records; topic model from 20K.

Record

Catalog key
amazon_qa_Home_and_Kitchen
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
184,439
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, 17.1 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 — Home & Kitchen [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 — Home & Kitchen. 2016, doi.org/10.1109/ICDM.2016.0060.

BibTeX · RIS · CSL-JSON

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