Gwizzly/expandedauk

Dataset Card for AUK Academic Dataset

This dataset card aims to provide a comprehensive description of the AUK Academic Dataset, which is designed for training AI models related to academic processes, policies, and student services at the American University of Kuwait (AUK).

This dataset card has been generated using this raw template.

Dataset Details

Dataset Description

The AUK Academic Dataset contains a collection of dialogue-based data aimed at answering academic-related queries from students. These conversations cover various topics such as course registration, course codes and prerequisites, grading systems, academic policies, and student services. This dataset is ideal for training AI assistants to handle university-specific academic inquiries.

• Curated by: American University of Kuwait (AUK)
• Funded by: [More Information Needed]
• Shared by: [More Information Needed]
• Language(s) (NLP): English
• License: MIT

Dataset Sources

• Repository: [More Information Needed]
• Paper: [More Information Needed]
• Demo: [More Information Needed]

Uses

Direct Use

This dataset can be used for:

• Training AI chatbots or virtual assistants for university-specific academic queries.
• Fine-tuning NLP models to assist with student inquiries related to courses, registration, grading, and academic policies.
• Developing systems for answering frequently asked questions (FAQs) related to student services and academic processes.

Out-of-Scope Use

The dataset is not intended for:

• General-purpose chatbot development unrelated to academic queries.
• Use in areas outside the educational context (e.g., social media or entertainment-related AI).
• Malicious uses or systems that could misuse student-related data.

Dataset Structure

The dataset contains dialogues in JSONL format, structured as pairs of questions and answers. Each conversation consists of multiple exchanges, with each entry labeled as either "human" or "gpt" based on the speaker. The dataset includes:

• Course Code Explanation: Detailed queries about course codes, course structure, and prerequisites.
• Student Affairs: Questions related to student services, extracurricular activities, and campus life.
• Academic Policies: Information regarding grading, attendance, degree requirements, etc.

Dataset Creation

Curation Rationale

This dataset was curated to provide AI systems with an academic knowledge base specific to the American University of Kuwait. The intent is to enhance AI systems with accurate, AUK-specific information to assist students in their academic journey.

Source Data

Data Collection and Processing

The dataset was compiled from official documents provided by AUK, including:

• Academic Catalog: Information on degree programs, courses, grading systems, and academic policies.
• Student Affairs Documentation: Policies and programs related to student life and services.
• Registrar's Office: Information on registration procedures, course prerequisites, and transcript management.

Who are the source data producers?

The source data was originally produced by AUK's academic departments, including the Registrar's Office, the Division of Student Affairs, and other university offices responsible for academic administration.

Annotations

Annotation Process

The data was manually converted into a conversational format, simulating real-world student inquiries and AI responses based on the academic documents from AUK.

Who are the annotators?

The annotators are a combination of AUK academic staff and the dataset development team, ensuring the content is accurate and reflective of AUK’s policies and procedures.

Personal and Sensitive Information

The dataset does not contain personal, sensitive, or private information. All data is anonymized, and no student-specific or confidential information is included in the dataset.

Bias, Risks, and Limitations

Bias and Risks

• Biases: The dataset may reflect institutional biases present in the AUK academic and administrative system. This may influence the way certain academic processes or student services are presented.
• Limitations: The dataset is focused on AUK and does not cover universities outside of Kuwait, limiting its generalizability to other institutions with different academic systems or structures.

Recommendations

Users of this dataset should be aware of potential biases related to the university-specific context and the limitations it may impose on generalizing the data to other academic environments.

Citation

BibTeX:

@misc{auk-academic-dataset,
  author = {American University of Kuwait},
  title = {AUK Academic Dataset},
  year = {2025},
  url = {https://www.auk.edu.kw}
}