Published September 26, 2023
| Version first submission
Dataset
Open
Data for Progress on Climate Action: a Multilingual Machine Learning Analysis of the Global Stocktake
Authors/Creators
- 1. Wageningen University
- 2. University of Amsterdam
Contributors
Project member:
Description
Data to go with our submission to Climatic Change titled "Progress on Climate Action: a Multilingual Machine Learning Analysis of the Global Stocktake".
Dataset contains the embeddings (.zip with pickles) as well as the associated document items (idem), the most-closely associated keywords and paragraphs per topic in the final model (.xlsx), the reduced 2d embeddings with all selected paragraphs (.csv utf-8 encoded), as well as an overview with the meta-data per source (.csv utf-8 encoded).
Files
74_reduced_embeddings_per_para_report.csv
Files
(655.9 MB)
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md5:a337095363f2617eb6284a810fe58e6c
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md5:198f1c8fba64f319e0999da5f86758cb
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