Metadata-Version: 2.1
Name: aitutor-assessmentkit
Version: 0.1.1
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 (==1.24.0)
Requires-Dist: torch (==2.1.0)
Requires-Dist: pandas (==2.1.0)
Requires-Dist: tqdm (==4.65.0)
Requires-Dist: scipy (==1.11.0)
Requires-Dist: nltk (==3.8.0)
Requires-Dist: transformers (==4.35.2)
Requires-Dist: clean-text (==0.6.0)
Requires-Dist: openpyxl (==3.1.2)
Requires-Dist: spacy (==3.6.1)
Requires-Dist: gensim (==4.3.2)
Requires-Dist: num2words (==0.5.10)
Requires-Dist: scikit-learn (==1.2.2)
Requires-Dist: matplotlib (==3.7.1)
Requires-Dist: seaborn (==0.12.2)

# 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
