Amazon QA — Grocery & Gourmet Food

A Amazon dataset of 19,538 QA pairs in Grocery & Gourmet Food, 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 Grocery & Gourmet Food. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

#Grocery#Product question answering#Question answering

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Analytics

Content metrics

19,538 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

unixTimeμ 1.4B ± 243.6M
min 0max 1.4B
has answer100.0% true
true 100.0%false 0.0%
is yes no37.3% true
true 37.3%false 62.7%
is open ended62.7% true
true 62.7%false 37.3%
5.7
Flesch–Kincaid grade
US school grade level
5.6
Automated readability index
Frequent terms
productuselikeyesfreeknowgooddonsugarorganicdatewateringredientscoffeeteaoilbagsaystasteboxglutensureexpirationpackagemilkflavorlonghopeservingsaltneedthinkflourtimeorderamazonpowdercupbestsizehelpswantthankslabelproductsbuygreatcoconutsodiumcalories
Topic clusters

Topic 0

plant
color
water
grow
use
cook
sprout
tree

Topic 1

calorie
carb
serve
gram
list
ingredient
fat
fiber

Topic 2

gluten
flour
free
bread
wheat
corn
yeast
ingredient

Topic 3

coconut
taste
milk
powder
flavor
add
water
like

Topic 4

date
expiration
month
expire
order
year
buy
long

Topic 5

organic
gmo
non
product
certify
usda
free
pesticide

Topic 6

coffee
cup
espresso
machine
pod
filter
roast
decaf

Topic 7

shipping
ship
order
price
amazon
thank
cost
day

Topic 8

box
pack
packet
inch
bar
size
dimension
pouch

Topic 9

shelf
life
refrigerate
long
open
store
fridge
refrigerator

Topic 10

tea
caffeine
green
bag
leaf
drink
cup
contain

Topic 11

peanut
nut
raw
almond
tree
product
rice
dairy
Show all 13 topics

Topic 12

ounce
chocolate
cocoa
dark
cacao
milk
process
dutch
Top hashtags
#133
#519
#4015
#214
#614
#411
#xff1f11
#6529210
#109
#85948
#1280775
#sthash5
#3334
#74
#1283
#1285163
#1285223
#1285122
#1285422
#1592

Computed over the full corpus.

Record

Catalog key
amazon_qa_Grocery_and_Gourmet_Food
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
19,538
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, 2.0 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 — Grocery & Gourmet Food [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 — Grocery & Gourmet Food. 2016, doi.org/10.1109/ICDM.2016.0060.

BibTeX · RIS · CSL-JSON

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