Datasets:
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README.md
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- bisect
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#
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## Summary
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**
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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/
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```
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# Citation
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- bisect
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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
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