DREsS
Dataset for Rubric-based Essay Scoring
🎉 DREsS is accepted to ACL 2025!
This is an official website of DREsS: Dataset for Rubric-based Essay Scoring on EFL Writing (Yoo et al., 2024).
DREsS is a large-scale, standard dataset for rubric-based automated essay scoring. DREsS comprises three sub-datasets:
1) DREsS_New with 2,279 essays from English as a foreign language (EFL) learners and their scores assessed by experts 2) DREsS_Std. with 6,515 essays and scores from existing datasets 3) DREsS_CASE with 40,185 synthetic essay samples.
Dataset
The essays in DREsS are scored on a range of 1 to 5, with increments of 0.5, based on the three rubrics: content, organization, and language.
| Criteria | Description |
|---|---|
| Content | Paragraph is well-developed and relevant to the argument, supported with strong reasons and examples. |
| Organization | The argument is very effectively structured and developed, making it easy for the reader to follow the ideas and understand how the writer is building the argument. Paragraphs use coherence devices effectively while focusing on a single main idea. |
| Language | The writing displays sophisticated control of a wide range of vocabulary and collocations. The essay follows grammar and usage rules throughout the paper. Spelling and punctuation are correct throughout the paper. |
Data attributes
| Column | Type | Description |
|---|---|---|
| id | Integer | A unique identifier of each essay sample |
| source | String | [Optional] An original source of the essay sample (only for DREsS_std) |
| prompt | String | An essay prompt |
| essay | String | A student-written essay |
| score | Float | A rubric-based score of the essay (content, organization, language, total) |
Data statistics
| Subdata | Source | Content | Organization | Language |
|---|---|---|---|---|
| DREsS_New | - | 2,279 | 2,279 | 2,279 |
| DREsS_Std. | ASAP P7 | 1,569 | 1,569 | 1,569 |
| Â | ASAP P8 | 723 | 723 | 723 |
| Â | ASAP++ P1 | 1,785 | 1,785 | 1,785 |
| Â | ASAP++ P2 | 1,799 | 1,799 | 1,799 |
| Â | ICNALE EE | 639 | 639 | 693 |
| DREsS_CASE | - | 8,307 | 31,086 | 792 |
| Total | Â | 17,101 | 39,880 | 9,586 |
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Citation
@article{yoo2024dress,
title={DREsS: Dataset for Rubric-based Essay Scoring on EFL Writing},
author={Haneul Yoo and Jieun Han and So-Yeon Ahn and Alice Oh},
journal={arXiv preprint arXiv:2402.16733},
year={2024},
}