ABC Compute Forum - Seq2Seq Evaluation Tools - ROUGE Implementation Documentation

This section provides comprehensive documentation for the ROUGE implementation within the ABC Compute Forum's open-source resources for Sequence-to-Sequence (Seq2Seq) evaluation tools.

Overview

ROUGE (Recall-Oriented Understudy for Gisting Evaluation) is a set of metrics used for evaluating the quality of machine-translated or generated text compared to human translations or reference texts. This implementation focuses on providing a robust framework for evaluating Seq2Seq models.

Installation

To install the ROUGE implementation, follow these steps:

Clone the repository from GitHub:
```
git clone <repository_url>
```
Navigate to the directory:
```
cd rouge_implementation
```
Install the required dependencies:
```
pip install -r requirements.txt
```

Usage

To use the ROUGE implementation, you can run the following command:

python evaluate_rouge.py --reference <reference_file> --candidate <candidate_file>

Where <reference_file> is the file containing the reference text and <candidate_file> is the file containing the candidate text generated by your Seq2Seq model.

Examples

Here are some examples of using the ROUGE implementation:

Evaluate the ROUGE scores for a single reference and candidate pair:
```
python evaluate_rouge.py --reference ref.txt --candidate cand.txt
```
Evaluate the ROUGE scores for multiple reference and candidate pairs in a directory:
```
python evaluate_rouge.py --reference-dir refs/ --candidate-dir cands/
```

Resources

For more information on Seq2Seq evaluation tools and the ROUGE metric, you can visit the following resources: