Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
French
Size:
10K - 100K
License:
bourdoiscatie
commited on
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Update README.md
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README.md
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#
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## Summary
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**
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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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# How to use?
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```
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from datasets import load_dataset
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dataset = load_dataset("CATIE-AQ/
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```
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# Citation
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# universal_dependencies_fr_fqb_fr_prompt_pos
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## Summary
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**universal_dependencies_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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# How to use?
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```
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from datasets import load_dataset
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dataset = load_dataset("CATIE-AQ/universal_dependencies_fr_fqb_fr_prompt_pos")
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```
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# Citation
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