84,445 comparisons among 1,052 agents.
| Description | UKPConvArg1: MTurk workers' pairwise judgements of which of two web arguments is more convincing, 16,927 pairs of 1,052 arguments in 32 debates. One row per vote; 'equal' = draw; rater = worker. |
|---|---|
| Reference | Habernal, I., & Gurevych, I. (2016). Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 1589-1599. |
| DOI | 10.18653/v1/P16-1150 |
| Licence | CC BY 4.0 |
| Source data | https://github.com/UKPLab/acl2016-convincing-arguments |
| Comparisons | 84,445 |
|---|---|
| Agents | 1,052 |
agent_aagent_bdatedebatehit_idhomefieldpair_idraterwinnerworker_stance
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("ukpconvarg1_convincingness_2016", source = "comp")
# Python
pip install irw
import irw
df = irw.fetch("ukpconvarg1_convincingness_2016", source="comp")
@inproceedings{Habernal_2016, title={Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM}, url={http://dx.doi.org/10.18653/v1/P16-1150}, DOI={10.18653/v1/p16-1150}, booktitle={Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}, publisher={Association for Computational Linguistics}, author={Habernal, Ivan and Gurevych, Iryna}, year={2016}, pages={1589–1599} }
| IRW version | v622 |
|---|---|
| Redivis dataset | irw_competitions v6.3 |
| Redivis dataset DOI | 10.57761/7qpg-cj26 |
| Manifest pin for this IRW version | v6.3 |
| Metadata source | irw_meta v49.0 |