Metadata-Version: 2.1
Name: aitutor-assessmentkit
Version: 0.1.2
Summary: Welcome to the `AITutor-AssessmentKit`! With the remarkable advancements in large language models (LLMs), there is growing interest in leveraging these models as AI-powered tutors. However, the field lacks robust evaluation methodologies and tools to systematically assess the pedagogical capabilities of such systems. The `AITutor-AssessmentKit` is the first open-source toolkit specifically designed to evaluate the pedagogical performance of AI tutors in *Student Mistake Remediation* tasks.
Home-page: https://github.com/kaushal0494/aitutor-assessmentkit
Author: Kaushal Kumar Maurya
Author-email: Kaushal.Maurya@mbzuai.ac.ae
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: torch
Requires-Dist: pandas
Requires-Dist: tqdm
Requires-Dist: scipy
Requires-Dist: nltk
Requires-Dist: transformers
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: seaborn

# AITutor-AssessmentKit

A toolkit for evaluating AI-based tutoring systems. This package includes various evaluation metrics and methods to assess the performance of language models as tutors.

## Installation

To install the package, use:

```bash
pip install aitutor-assessmentkit
