semeval2013_scientsbank_nom

10,768 responses from 3,026 respondents to 195 items.

About this table

DescriptionSemEval-2013 Task 7 SciEntsBank: grade 3-6 students' written answers to FOSS/ASK science assessment questions, 3,026 students x 195 questions (sparse); text = graders' 5-way accuracy label (correct / partially_correct_incomplete / contradictory / irrelevant / non_domain), resp = 1 if correct, answer_text = the student's answer.
ReferenceDzikovska, M. O., Nielsen, R., Brew, C., Leacock, C., Giampiccolo, D., Bentivogli, L., Clark, P., Dagan, I., & Dang, H. T. (2013). SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge. Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval 2013), 263-274.
LicenceCC BY-SA 3.0
Source datahttps://github.com/myrosia/semeval-2013-task7

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses10,768
Respondents3,026
Items195
Response categories5
Responses per respondent3.558

Columns

answer_textiditemitemcov_modulerespsplittext

id, item, resp are defined in the IRW data standard and mean the same in every table. For the other columns, including what item codes and covariate values stand for, any codebook is the one released with the source data.

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("semeval2013_scientsbank_nom", source = "nom")
# Python
pip install irw

import irw
df = irw.fetch("semeval2013_scientsbank_nom", source="nom")

How to cite

@inproceedings{Dzikovska2013,
  author = {Dzikovska, Myroslava O. and Nielsen, Rodney and Brew, Chris and Leacock, Claudia and Giampiccolo, Danilo and Bentivogli, Luisa and Clark, Peter and Dagan, Ido and Dang, Hoa T.},
  title = {SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge},
  booktitle = {Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval 2013)},
  pages = {263--274},
  year = {2013},
  url = {https://github.com/myrosia/semeval-2013-task7}
}

Version and provenance

IRW versionv581
Redivis datasetirw_nominal v4.1
Redivis dataset DOI10.57761/9hzd-dc70
Manifest pin for this IRW versionv4.1
Metadata sourceirw_meta v44.0