ECHOExploratory Compendium of Humanity Online

Amazon QA — Patio Lawn & Garden

AnalyzedMediumtextAmazonEngagementKnowledge sharingQ&A

A Amazon dataset of 59,595 QA pairs in Patio Lawn & Garden, 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 Patio Lawn & Garden. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

#Gardening#Mcauley#Product question answering#Question answering

Cite this dataset at amazon-qa-patio-lawn-and-garden.echo.directory

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Analytics

Content metrics

59,595 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

unixTimeμ 1.3B ± 333.8M
min 0max 1.4B
has answer100.0% true
true 100.0%false 0.0%
is yes no44.2% true
true 44.2%false 55.8%
is open ended55.8% true
true 55.8%false 44.2%
5.2
Flesch–Kincaid grade
US school grade level
5.1
Automated readability index
Frequent terms
useworkyesfitneedwaterdonlikeknowgoodsurepoolproductlonghosesizeinchesthinkcovercomegrillworkstimegreatmodelwanthopesmallunitgroundpumpbuyboughtinchhelpsplasticwayyearproblemlittleinsidefilteryearsthanksfindsetboxfeetnewfine
Topic clusters

Topic 0

hose
water
pool
pump
use
filter
tank
work

Topic 1

feeder
trap
bird
squirrel
fly
feed
work
kill

Topic 2

plant
grow
soil
spray
tree
use
seed
sprayer

Topic 3

grill
weber
charcoal
cook
cover
grate
fit
use

Topic 4

box
sorry
ship
shipping
work
price
yes
order

Topic 5

pole
mount
screw
hole
shed
bracket
come
attach

Topic 6

mower
blade
trimmer
fit
craftsman
model
spool
work

Topic 7

battery
charge
power
wire
panel
cord
watt
amp

Topic 8

inch
wide
dimension
foot
tall
diameter
width
measure

Topic 9

table
chair
weight
seat
bench
sit
cushion
weigh

Topic 10

chain
saw
bar
fit
oregon
stihl
husqvarna
chainsaw
Top hashtags
#29
#18
#65
#34
#103
#43
#53
#625653
#02102
#100602
#11a2
#1285152
#1532
#162
#302
#3582
#3692
#44k2
#72
#701932

Sampled: text metrics from 50K of 119.2K records; topic model from 20K.

Record

Catalog key
amazon_qa_Patio_Lawn_and_Garden
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
59,595
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, 6.3 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 — Patio Lawn & Garden [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 — Patio Lawn & Garden. 2016, doi.org/10.1109/ICDM.2016.0060.

BibTeX · RIS · CSL-JSON

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