urigoren / contract_classification

Contract classification challenge

Prerequisites

1. Python 3.6+ installed
2. Pip (curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && python get-pip.py)
3. Jupyter notebook

Recommended software for Windows users

1. Anaconda: https://www.anaconda.com/download/#windows
2. cmder: https://github.com/cmderdev/cmder/releases/download/v1.3.6/cmder.zip

Installation steps

1. Clone this repository
2. Download the training data from: https://drive.google.com/file/d/1CD-wyXoZ5UKJWN20kZDWvdVqcQvRCzP5/view
3. Download the test data from: https://drive.google.com/file/d/1d3doBKzy3TNgtAnqkiB0BouwdOuf9pPF/view
4. Copy it to data/
5. Make sure all the requirements are installed pip3 install -r requirements.txt OR conda install --yes --file requirements.txt if you're with Anaconda
6. Launch Jupyter by running cd notebooks; jupyter notebook in your terminal

Dataset

1. data.zip - The raw contracts, classified by their filename
2. test_data.zip - Unlabeled contracts

Leaderboard

is available at http://goren.ml/uattcontract

A minimum accuracy of 90% is required