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@@ -85,7 +85,7 @@ You can also collect all the available prompts for their associated datasets:
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You can learn more about PromptSource's API to store, manipulate and use prompts in the [documentation](API_DOCUMENTATION.md).
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## How to create prompts
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PromptSourcep provides a Web-based GUI that enables developers to write prompts in a templating language and immediately view their outputs on different examples.
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PromptSource provides a Web-based GUI that enables developers to write prompts in a templating language and immediately view their outputs on different examples.
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There are 3 modes in the app:
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-**Sourcing**: create and write new prompts
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You can override this default path using `PROMPTSOURCE_MANUAL_DATASET_DIR` environment variable. This should point to the root directory.
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## Development structure
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PropmtSource and P3 were originally developed as part of the [BigScience project for open research 🌸](https://bigscience.huggingface.co/), a year-long initiative targeting the study of large models and datasets. The goal of the project is to research language models in a public environment outside large technology companies. The project has 600 researchers from 50 countries and more than 250 institutions.
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PromptSource and P3 were originally developed as part of the [BigScience project for open research 🌸](https://bigscience.huggingface.co/), a year-long initiative targeting the study of large models and datasets. The goal of the project is to research language models in a public environment outside large technology companies. The project has 600 researchers from 50 countries and more than 250 institutions.
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In particular, PromptSource and P3 were the first steps for the paper [Multitask Prompted Training Enables Zero-Shot Task Generalization](https://arxiv.org/abs/2110.08207).
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primaryClass={cs.LG}
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}
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```
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#TODO: Update citation once we have the paper uploaded on arxiv + create a citation.cff file
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