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Machine CDI: Lexical-benchmark for language acquisition

Getting started

Installation

To get started with this module you will need to have the following requirements : uv

Recommended way use the installation script :

curl -LsSf https://raw.githubusercontent.com/nhamilakis/Lexical-benchmark/refs/heads/dev/install.sh | sh

This script does all the setup required & creates a local env with all requirements.

Using Module

This module is mostly a library allowing to be imported to perform the various tasks and create analytics from the datasets. There are two different mediums

A list of scripts in the src/scripts/ folder allow to do most of the computations

TBA...

A list of notebooks allowing to explore data and plot analytics.

TBA...

If you are working in a slurm cluster all scripts used to run the experiments can be found @ src/slurm_scripts/

Datasets

For more detailed information on each dataset you can check out their pages :

About

This project provides more finegrained human-model comparison on lexical level

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  • Jupyter Notebook 90.7%
  • Python 9.1%
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