Amazon QA — Tools & Home Improvement

A Amazon dataset of 101,088 QA pairs in Tools & Home Improvement, 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 Tools & Home Improvement. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

#Home improvement#Mcauley#Product question answering#Question answering

Download data BibTeX JSONSimilar datasets

Analytics

Content metrics

101,088 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

unixTimeμ 1.3B ± 270.8M
min 0max 1.4B
has answer100.0% true
true 100.0%false 0.0%
is yes no46.0% true
true 46.0%false 54.0%
is open ended54.0% true
true 54.0%false 46.0%
5.3
Flesch–Kincaid grade
US school grade level
5.3
Automated readability index
Frequent terms
useworkyesneedfitlightdonlikeknowwatersuregoodsizeunitsawlongdoorcomeproductthinkwantswitchcutmodelfanworkswallbulbsetinchgreatbatteryinchestimehopedrillbuyplasticsmallwaypumphelpspowertoolbladenewmetalthanksboxbought
Topic clusters

Topic 0

water
filter
fan
pump
heater
hose
air
tank

Topic 1

ship
product
item
yes
china
shipping
box
price

Topic 2

wire
plug
remote
switch
amp
cord
opener
volt

Topic 3

bulb
light
lamp
led
dimmer
switch
watt
work

Topic 4

blade
saw
cut
table
type
dewalt
arbor
fence

Topic 5

door
lock
key
mailbox
hinge
mail
gate
latch

Topic 6

paint
sander
sand
use
spray
coat
wood
surface

Topic 7

drill
dremel
bit
chuck
tool
shaft
fit
hammer

Topic 8

mount
drawer
bracket
screw
bolt
wall
slide
shelf

Topic 9

battery
charger
charge
lithium
volt
dewalt
pack
long

Topic 10

dimension
bike
inch
wide
weight
length
rack
foot

Topic 11

yes
anderson
casement
sir
prob
lens
master
rod
Show all 14 topics

Topic 12

case
belt
fit
leatherman
bag
sheath
come
strap

Topic 13

router
table
plunge
guide
bosch
bit
base
fit
Top hashtags
#136
#234
#820322
#6553219
#5405017
#812
#95610
#1287
#37
#652927
#106
#76
#936
#55
#65
#04
#204
#44
#xff1f4
#1293

Sampled: text metrics from 50K of 202.2K records; topic model from 20K.

Record

Catalog key
amazon_qa_Tools_and_Home_Improvement
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
101,088
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, 10.5 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 — Tools & Home Improvement [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 — Tools & Home Improvement. 2016, doi.org/10.1109/ICDM.2016.0060.

BibTeX · RIS · CSL-JSON

Similar datasets 10 all with scores →