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@@ -21,10 +21,10 @@ source_datasets:
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  - bisect
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  ---
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- # bisect_fr_prompt_textual_fusion
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  ## Summary
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- **bisect_fr_prompt_textual_fusion** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
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  It contains **10,383,891** rows that can be used for a textual fusion task.
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  The original data (without prompts) comes from the dataset [BiSECT](https://huggingface.co/datasets/GEM/BiSECT) by Kim et al. where only the French part 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.
@@ -76,7 +76,7 @@ targets = bisect['train'][i]['source'].replace(' . ','. ').replace(' .','. ').re
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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/bisect_fr_prompt_textual_fusion")
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  ```
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  # Citation
 
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  - bisect
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  ---
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+ # bisect_fr_prompt_textual_merging
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  ## Summary
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+ **bisect_fr_prompt_textual_merging** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).
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  It contains **10,383,891** rows that can be used for a textual fusion task.
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  The original data (without prompts) comes from the dataset [BiSECT](https://huggingface.co/datasets/GEM/BiSECT) by Kim et al. where only the French part 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/bisect_fr_prompt_textual_merging")
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  ```
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  # Citation