carlson_2017_treebank

9,996 comparisons among 504 agents.

One of 6 tables from the same source; this one is the treebank table. The others are listed under Related tables.

About this table

DescriptionMTurk pairwise comparisons of Stanford Sentiment Treebank snippets for positivity; experiment 1 untrained, experiment 2 certified coders
ReferenceCarlson, D., & Montgomery, J. M. (2017). A pairwise comparison framework for fast, flexible, and reliable human coding of political texts. American Political Science Review, 111(4), 835-843. Data: Carlson, David; Montgomery, Jacob, Harvard Dataverse, https://doi.org/10.7910/DVN/0ZRGEE
DOI10.1017/S0003055417000302
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/0ZRGEE

Size and shape

Comparisons9,996
Agents504

Columns

agent_aagent_bbatch_idcomparison_iddateexperimenthomefieldraterscore_ascore_bwinner

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("carlson_2017_treebank", source = "comp")
# Python
pip install irw

import irw
df = irw.fetch("carlson_2017_treebank", source="comp")

How to cite

@article{CARLSON_2017, title={A Pairwise Comparison Framework for Fast, Flexible, and Reliable Human Coding of Political Texts}, volume={111}, ISSN={1537-5943}, url={http://dx.doi.org/10.1017/S0003055417000302}, DOI={10.1017/s0003055417000302}, number={4}, journal={American Political Science Review}, publisher={Cambridge University Press (CUP)}, author={CARLSON, DAVID and MONTGOMERY, JACOB M.}, year={2017}, month=Sept, pages={835–843} }

Version and provenance

IRW versionv584
Redivis datasetirw_competitions v6.2
Redivis dataset DOI10.57761/1w3w-5w94
Manifest pin for this IRW versionv6.2
Metadata sourceirw_meta v44.0