bourdoiscatie
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Update README.md
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README.md
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- fr
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license: cc-by-sa-4.0
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size_categories:
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task_categories:
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- fill-mask
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---
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# orange_sum_fr_prompt_fill_mask
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## Summary
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**orange_sum_fr_prompt_fill_mask** is a subset of the [**Dataset of French Prompts (DFP)**]().
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It contains **
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The original data (without prompts) comes from the dataset [orange_sum](https://huggingface.co/datasets/orange_sum) by Eddine et al.
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A list of prompts (see below) was then applied in order to build the input and target columns and thus obtain the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al.
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# Splits
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- train with
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# How to use?
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- fr
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license: cc-by-sa-4.0
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size_categories:
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- 100K<n<1M
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task_categories:
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- fill-mask
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tags:
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- DFP
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- french prompts
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annotations_creators:
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- found
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language_creators:
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- found
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multilinguality:
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- monolingual
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source_datasets:
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- orange_sum
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---
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# orange_sum_fr_prompt_fill_mask
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## Summary
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**orange_sum_fr_prompt_fill_mask** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
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It contains **585,624** rows that can be used for a fill mask task.
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The original data (without prompts) comes from the dataset [orange_sum](https://huggingface.co/datasets/orange_sum) by Eddine et al.
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A list of prompts (see below) was then applied in order to build the input and target columns and thus obtain the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al.
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# Splits
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- `train` with 513,624 samples
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- `valid` with 36,000 samples
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- `test` with 36,000 samples
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# How to use?
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