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  # ud_fr_fqb_fr_prompt_pos
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  ## Summary
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- **ud_fr_fqb_fr_prompt_pos** is a subset of the [**Dataset of French Prompts (DFP)**]().
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- It contains **48.1** rows that can be used for a part-of-speech task.
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  The original data (without prompts) comes from the dataset [universal_dependencies](https://huggingface.co/datasets/universal_dependencies) where only the French fqb split by Seddah et Candito has been kept.
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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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@@ -60,7 +60,7 @@ fr_fqb['test']['upos'] = list(map(lambda x: x.replace("[","").replace("]","").re
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  # Splits
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- - train with 48.1K samples
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  - no valid and test splits in the original data
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  # ud_fr_fqb_fr_prompt_pos
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  ## Summary
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+ **ud_fr_fqb_fr_prompt_pos** is a subset of the [**Dataset of French Prompts (DFP)**]().
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+ It contains **48,069** rows that can be used for a part-of-speech task.
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  The original data (without prompts) comes from the dataset [universal_dependencies](https://huggingface.co/datasets/universal_dependencies) where only the French fqb split by Seddah et Candito has been kept.
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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 48,069 samples
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  - no valid and test splits in the original data
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