jd-coderepos/sota

The official training/validation/test dataset repository for the SOTA? task as SimpleText Task4@CLEF2024

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For AI researchers tracking the latest advancements, this project provides a dataset to automatically identify and extract performance leaderboards from scholarly articles. It takes in research papers in LaTeX or TEI/XML format and outputs structured annotations detailing tasks, datasets, metrics, and scores for machine learning models. This is for researchers who need to efficiently monitor the state-of-the-art results across various AI tasks without manually sifting through numerous papers or relying solely on curated leaderboards.

No commits in the last 6 months.

Use this if you are an AI researcher or a data scientist who needs to automatically find and extract model performance metrics and leaderboard information from a large collection of research papers.

Not ideal if you are looking for an already built model or a search engine to query existing leaderboards rather than a dataset to develop your own information extraction system.

AI-research scholarly-publication-analysis model-performance-tracking information-extraction academic-workflow-automation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 10 / 25

How are scores calculated?

Stars

15

Forks

2

Language

TeX

License

CC-BY-SA-4.0

Last pushed

Jul 07, 2024

Commits (30d)

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