| # Editlens Scoring Data |
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| A collection of datasets of human writing for evaluating AI-generated text detectors. |
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| ## Citations: |
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| Crossley, S. (2025). A large-scale corpus for assessing source-based writing quality: ASAP 2.0. Zenodo. https://doi.org/10.5281/zenodo.14781349 |
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| J. Schler, M. Koppel, S. Argamon and J. Pennebaker (2006). Effects of Age and Gender on Blogging in Proceedings of 2006 AAAI Spring Symposium on Computational Approaches for Analyzing Weblogs. URL: http://www.cs.biu.ac.il/~schlerj/schler_springsymp06.pdf |
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| Blodgett, S. L., Green, L., & O’Connor, B. (2016). Demographic Dialectal Variation in Social Media: A Case Study of African-American English. In J. Su, K. Duh, & X. Carreras (Eds.), Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (pp. 1119–1130). Association for Computational Linguistics. https://doi.org/10.18653/v1/D16-1120 |
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| Blodgett, S. L., Wei, J., & O’Connor, B. (2018). Twitter Universal Dependency Parsing for African-American and Mainstream American English. In I. Gurevych & Y. Miyao (Eds.), Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 1415–1425). Association for Computational Linguistics. https://doi.org/10.18653/v1/P18-1131 |
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| Liu, Y., Qin, M. X., Wang, L., & Huang, C. (2023). CCAE: A Corpus of Chinese-Based Asian Englishes. CCF International Conference on Natural Language Processing and Chinese Computing, 614–626. |
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| Tao Chen and Min-Yen Kan (2013). Creating a Live, Public Short Message Service Corpus: The NUS SMS Corpus. Language Resources and Evaluation, 47(2)(2013), pages 299-355. URL: https://link.springer.com/article/10.1007%2Fs10579-012-9197-9 |
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| Crossley, S. A., Tian, Y., Baffour, P., Franklin, A., Benner, M., & Boser, U. (2024). A large-scale corpus for assessing written argumentation: PERSUADE 2.0. Assessing Writing, 61, 100865. https://doi.org/10.1016/j.asw.2024.100865 |
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