Rouge Implementation for Seq2Seq Evaluation

Rouge is a popular evaluation metric used for assessing the quality of generated text against the reference text in the field of sequence-to-sequence models. This page provides an overview of the Rouge implementation for Seq2Seq evaluation tools available in the ABC Compute Forum's open-source resources.

Features

• Accuracy: Rouge provides a quantitative measure of the similarity between the generated text and the reference text.
• Ease of Use: The implementation is straightforward and can be easily integrated into your Seq2Seq projects.
• Scalability: Suitable for both small and large datasets.

Usage

To use the Rouge implementation, follow these steps:

1. Download the Rouge package from the ABC Compute Forum's resources.
2. Install the required dependencies.
3. Run the Rouge evaluation script on your generated text and reference text.

Example

Here's a simple example of how to use the Rouge implementation:

from rouge import Rouge

rouge = Rouge()
scores = rouge.get_scores('The generated text', 'The reference text', metric='rouge-l')
print(scores)

Resources

• Rouge Documentation
• More Evaluation Tools

Screenshots

Rouge Evaluation Results

Rouge is an essential tool for evaluating the performance of Seq2Seq models. We hope this implementation helps you in your research and development efforts.