UNDP-Data/dsc-sdgi-corpus
Model benchmarks on SDGi Corpus, a multilingual dataset for text classification by Sustainable Development Goals.
This project helps data scientists and researchers benchmark different machine learning models for classifying text documents by Sustainable Development Goals (SDGs). You input text data and it outputs model performance metrics, allowing you to compare which models best assign text to specific SDGs. This is ideal for those working on global development, policy analysis, or social impact assessment.
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Use this if you need to evaluate and compare machine learning models for automatically categorizing text content according to the United Nations' Sustainable Development Goals.
Not ideal if you are looking for a ready-to-use application to classify documents without needing to perform model benchmarking or development.
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7
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1
Language
Python
License
AGPL-3.0
Category
Last pushed
Apr 25, 2024
Commits (30d)
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/UNDP-Data/dsc-sdgi-corpus"
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