(WIP) This repository contains the lab exercises for the Information Retrieval lecture at the Dresden University of Technology (TUD) for the Winter term 25/26.

Table of Contents

• Setup
  • Installing/Updating uv
• Installation
• Usage

Setup

We recommend using uv for this project, nonetheless, we also provide a requirements.txt file.

Installing/Updating uv

# Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh

# Update uv
uv self update

However, pip can also be used (we will not provide further setup details, though if you installed uv via pip, you can simply type e.g. python3 -m uv sync and achieve similar results):

pip install uv

Installation

1. First, clone the repository

git clone git@github.com:jembie/ir-exercises.git
cd ir-exercises/

2. Then install the required dependencies

# Recommended through uv
uv sync

# Alternatively via pip
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Usage

Within the exercises/ directories are all the relevant Jupyter Notebooks stored. Once the required dependencies are installed, each notebook should be ready to use.