Datasets:
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README.md
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## Dataset Description
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- **Homepage:**
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- **Repository:**
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- **Paper:**
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- **Point of Contact:**
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### Dataset Summary
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### Supported Tasks and Leaderboards
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### Languages
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### Data Fields
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### Data Splits
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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### Social Impact of Dataset
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### Discussion of Biases
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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## Dataset Description
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- **Homepage:**
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- **Repository:** https://github.com/luke-grassroot/aid-outcomes-ml
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- **Paper:** Forthcoming
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- **Point of Contact:** Luke Jordan (lukej at mit)
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### Dataset Summary
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### Supported Tasks and Leaderboards
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No leaderboard yet. A wide range of possible supported tasks, including varieties of summarization, QA, and language modelling. To date, the datasets have been used primarily in conjunction with tabular data (via BERT embeddings) to predict project outcomes.
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### Languages
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### Data Fields
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* World Bank project ID
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* Project approval document
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* Project review document
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### Data Splits
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* Train
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* Test
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## Dataset Creation
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### Source Data
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Documents were scraped from the World Bank's public project archive, following links through to specific project pages and then collecting the text files made available by the World Bank.
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### Annotations
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### Social Impact of Dataset
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Affects development projects, which can have large-scale consequences for many millions of people.
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### Discussion of Biases
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The documents reflect the history of development, which has well-documented and well-studied issues with the imposition of developed world ideas on developing world countries. The documents provide a way to study those in the field of development, but should not be used for their description of the recipient countries, since that language will reflect a multitude of biases, especially in the earlier reaches of the historical projects.
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## Additional Information
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