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314 persuasive essays annotated for claims. The essays were written by undergraduate students (N = 314) at a public university in the United States who were native speakers of English.

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Claim_Identification_Corpus

314 persuasive essays annotated for claims, effectiveness of claims, relationships amoung the claims, and holistic essay scores. The essays were written by undergraduate students at a public university in the United States who were native speakers of English.

Additional information in the repository in the Data_overview document. Holistic scores are in the essay_scores workbook. Annotations and effectiveness scores are for each individual essay are in the Data folder.

An initial publication on this data can be found at

https://educationaldatamining.org/EDM2021/virtual/static/pdf/EDM21_paper_163.pdf

Please cite

Wan, Q., Crossley, S.A., Banawan, M., Balyan, R., Tian, Y., McNamara, D. S., & Allen, L. (2021). Automated Claim Identification Using NLP Features in Student Argumentative Essays. Proceedings of the 14th International Conference on Educational Data Mining (EDM).

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314 persuasive essays annotated for claims. The essays were written by undergraduate students (N = 314) at a public university in the United States who were native speakers of English.

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