RECIPE4U

This is an official repository of RECIPE4U: Student-ChatGPT Interaction Dataset in EFL Writing Education (LREC-COLING 2024) and Exploring Student-ChatGPT Dialogue in EFL Writing Education (GAIED @ NeurIPS 2023)

Dataset

Attributes

Column Name	Type	Description
sample_id	String	A unique identifier with the composition of student_id, course, week, session, and idx.
course	String	A course information that a student is enrolled in. IRW for Intermediate Reading & Writing, AW for Advanced Writing, SW for Scientific Writing.
student_id	Integer	A numerical value to identify student.
week	Integer	The week number that the conversation is done
session	Integer	The session number that the conversation is done within the week.
idx	Integer	The utterance number within one session.
chatgpt_before	String	An utterance of ChatGPT before a student’s utterance
user	String	An utterance of a student after receiving ChatGPT response
chatgpt_after	String	An utterance of ChatGPT after a student’s utterance
rating	Integer	A student’s self-rated satisfaction on ChatGPT response on a 5-Likert scale
intent_final	String	An annotation of students’ intention based on a student’s utterance
is_quiz	Boolean	Whether a student asked ChatGPT for the answer to the quiz.
is_essay_edit	Boolean	Whether a student made edits on their essay after receiving a response from ChatGPT.
essay	String	A student’s written essay.

Statistics

	# of Samples
# of dialogues	504
Total # of utterances	4,330
Total # of tokens	380,364
Total unique tokens	16,118

Languages

English, Korean

How to download?

• Please submit the consent form. After reviewing your consent form, we will send you the dataset link soon through email.

Ethical Consideration

• We do not condone any malicious use of our dataset. To prevent the potential risk associated with student-written essays, only researchers or practitioners who submit a consent form can access our data. RECIPE4U is available for research purposes only.

BibTex

@inproceedings{han-etal-2024-recipe4u-student,
    title = "{RECIPE}4{U}: Student-{C}hat{GPT} Interaction Dataset in {EFL} Writing Education",
    author = "Han, Jieun and Yoo, Haneul and Myung, Junho and Kim, Minsun and Lee, Tak Yeon and Ahn, So-Yeon and Oh, Alice",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italy",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.1193",
    pages = "13666--13676",
}