metadata
task_categories:
- text-classification
language:
- en
tags:
- climate
- art
- code
- linguistics
- ecology
The original data was collected by artist from the World Bank: https://documents.worldbank.org/en/publication/documents-reports
Public documents from the World Bank were cleaned and segmented into sentences.
Labeling was conducted on the Refinery platform using a hybrid, iterative human–machine workflow.
Here is the data artist provides:
- WB_data_seqsonly.csv -> individual processed and cleaned sequences, gathered from many documents in one csv file
- WB_dataset_labelled.csv -> sequences with labels (pro-growth / ecologically dominating / neutral); used in the current model
- WB_dataset_separated_csv folder -> separated csv files, each file includes the cleaned sequences from the original document