NLP-progress
A community-driven repository tracking datasets and state-of-the-art results for common NLP tasks across multiple languages.
What is NLP-progress?
NLP-progress is a community-maintained repository that systematically tracks the state-of-the-art in Natural Language Processing. It aggregates benchmark datasets and model performance across dozens of NLP tasks, providing a quick reference for researchers to understand current capabilities and gaps. The project serves as a living document of the field's evolution.
NLP researchers, machine learning engineers, and students who need to benchmark models, identify research opportunities, or survey current SOTA results for specific tasks.
It offers a uniquely comprehensive and structured overview of NLP progress across many tasks and languages, all in one open, community-updated location. Unlike scattered papers or leaderboards, it provides a centralized, easily navigable resource.
Overview
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Use Cases
Best For
- Finding benchmark datasets for a specific NLP task
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