Amazon QA — Musical Instruments

A Amazon dataset of 23,322 QA pairs in Musical Instruments, 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 Musical Instruments. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

#Musical instrument#Product question answering#Question answering

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Analytics

Content metrics

23,322 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

unixTimeμ 1.3B ± 289.5M
min 0max 1.4B
has answer100.0% true
true 100.0%false 0.0%
is yes no49.7% true
true 49.7%false 50.3%
is open ended50.3% true
true 50.3%false 49.7%
5.6
Flesch–Kincaid grade
US school grade level
5.4
Automated readability index
Frequent terms
useyesworkguitarneedmicfitsoundgoodlikecaseamppowerdoncomeknowplugstandsurewantcableusbgreataudiomicrophoneplayworksthinksizesetspeakersbuymusicstringskeyboardunitspeakerbasshopelongcomputerinputconnectcomesbetterthanksmixerboughtoutputproduct
Topic clusters

Topic 0

ship
china
shipping
sorry
item
amazon
warranty
thank

Topic 1

mic
microphone
wireless
karaoke
use
plug
transmitter
work

Topic 2

battery
power
cable
supply
adapter
plug
cord
volt

Topic 3

string
guitar
steel
nylon
acoustic
play
tune
good

Topic 4

speaker
amp
mixer
stereo
ohm
power
watt
output

Topic 5

fit
case
guitar
epiphone
fender
body
bag
acoustic

Topic 6

midi
software
work
controller
pro
mac
windows
version

Topic 7

keyboard
yamaha
piano
key
casio
stand
fit
korg

Topic 8

pedal
bass
amp
boss
effect
distortion
wah
use

Topic 9

yes
sure
dmx
currently
sir
talent
buddy
flow

Topic 10

xlr
phantom
power
cable
mic
male
microphone
female

Topic 11

violin
rest
size
viola
shoulder
cello
bow
end
Show all 23 topics

Topic 12

fog
light
bulb
water
machine
remote
juice
led

Topic 13

flute
mouthpiece
trumpet
tenor
clarinet
sax
recorder
soprano

Topic 14

case
bag
interior
come
dimension
length
inside
carry

Topic 15

cartridge
turntable
stylus
needle
headshell
mount
arm
work

Topic 16

stand
height
desk
bench
weight
sturdy
fold
seat

Topic 17

mic
stand
mount
microphone
shock
thread
clip
holder

Topic 18

drum
cymbal
snare
pad
stand
set
hat
tom

Topic 19

fit
case
perfectly
taylor
martin
yes
prs
fine

Topic 20

inch
foot
diameter
leg
long
measure
wide
thick

Topic 21

volume
sound
reverb
loud
control
knob
preset
foam

Topic 22

wood
color
finish
black
matte
adhesive
gloss
cloth
Top hashtags
#125
#212
#69912
#sthash9
#9378
#652926
#xff1f6
#1285155
#45
#6014
#x200b4
#33
#83
#102
#123882
#1282
#1280762
#1280772
#1592
#3042

Computed over the full corpus.

Record

Catalog key
amazon_qa_Musical_Instruments
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
23,322
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, 2.5 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 — Musical Instruments [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 — Musical Instruments. 2016, doi.org/10.1109/ICDM.2016.0060.

BibTeX · RIS · CSL-JSON

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