This paper introduces ASAP 2.0, a dataset of ∼25,000 source-based argumentative essays from U.S. secondary students. The corpus addresses the shortcomings of the original ASAP corpus by including demographic data, consistent scoring rubrics, and source texts. ASAP 2.0 aims to support the development of unbiased, sophisticated Automatic Essay Scoring (AES) systems that can foster improved educational practices by providing summative to students. The corpus is designed for broad accessibility with the hope of facilitating research into writing quality and AES system biases. • We introduce the ASAP 2.0 corpus. • The corpus contains over 25,000 source-based essays. • Each essay is scored for overall writing quality. • The corpus can be used to computationally and quantitatively model source-based writing quality.

This paper introduces the Persuasive Essays for Rating, Selecting, and Understanding Argumentative and Discourse Elements (PERSUADE) corpus.The PERSUADE corpus is large-scale corpus of writing with annotated discourse elements. The goal of the corpus is to spur the development of new, open-source scoring algorithms that identify discourse elements in argumentative writing to open new avenues for the development of automatic writing evaluation systems that focus more specifically on the semantic and organizational elements of student writing.