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--- |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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- name: language |
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dtype: string |
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- name: template |
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dtype: string |
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- name: dataset |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 308250831 |
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num_examples: 1223481 |
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download_size: 129951272 |
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dataset_size: 308250831 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# Dataset Card for "ArabicDarija-xP3x" part of "xP3x" by [Muennighoff](https://huggingface.co/Muennighoff) |
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## Find below part of the original dataset card |
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## Dataset Description |
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- **Repository:** https://github.com/bigscience-workshop/xmtf |
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- **Paper:** [Crosslingual Generalization through Multitask Finetuning](https://arxiv.org/abs/2211.01786) |
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- **Point of Contact:** [Niklas Muennighoff](mailto:n.muennighoff@gmail.com) |
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### Dataset Summary |
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> xP3x (Crosslingual Public Pool of Prompts eXtended) is a collection of prompts & datasets across 277 languages & 16 NLP tasks. It contains all of xP3 + much more! It is used for training future contenders of mT0 & BLOOMZ at project Aya @[C4AI](https://cohere.for.ai/) 🧡 |
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> |
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- **Creation:** The dataset can be recreated using instructions available [here](https://github.com/bigscience-workshop/xmtf#create-xp3) together with the file in this repository named `xp3x_create.py`. We provide this version to save processing time. |
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- **Languages:** 277 |
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- **xP3 Dataset Family:** |
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<table> |
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<tr> |
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<th>Name</th> |
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<th>Explanation</th> |
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<th>Example models</th> |
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</tr> |
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<tr> |
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<td><a href=https://huggingface.co/datasets/Muennighoff/xP3x>xP3x</a></t> |
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<td>Mixture of 17 tasks in 277 languages with English prompts</td> |
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<td>WIP - Join us at Project Aya @<a href=https://cohere.for.ai/>C4AI</a> to help!</td> |
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</tr> |
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<tr> |
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<td><a href=https://huggingface.co/datasets/bigscience/xP3>xP3</a></t> |
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<td>Mixture of 13 training tasks in 46 languages with English prompts</td> |
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<td><a href=https://huggingface.co/bigscience/bloomz>bloomz</a> & <a href=https://huggingface.co/bigscience/mt0-xxl>mt0-xxl</a></td> |
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</tr> |
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<tr> |
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<td><a href=https://huggingface.co/datasets/bigscience/xP3mt>xP3mt</a></t> |
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<td>Mixture of 13 training tasks in 46 languages with prompts in 20 languages (machine-translated from English)</td> |
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<td><a href=https://huggingface.co/bigscience/bloomz-mt>bloomz-mt</a> & <a href=https://huggingface.co/bigscience/mt0-xxl-mt>mt0-xxl-mt</a></td> |
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</tr> |
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<tr> |
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<td><a href=https://huggingface.co/datasets/bigscience/xP3all>xP3all</a></t> |
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<td>xP3 + evaluation datasets adding an additional 3 tasks for a total of 16 tasks in 46 languages with English prompts</td> |
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<td></td> |
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</tr> |
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<tr> |
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<td><a href=https://huggingface.co/datasets/bigscience/xP3megds>xP3megds</a></t> |
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<td><a href=https://github.com/bigscience-workshop/Megatron-DeepSpeed>Megatron-DeepSpeed</a> processed version of xP3</td> |
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<td><a href=https://huggingface.co/bigscience/bloomz>bloomz</a></td> |
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</tr> |
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<tr> |
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<td><a href=https://huggingface.co/datasets/Muennighoff/P3>P3</a></t> |
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<td>Repreprocessed version of the English-only <a href=https://huggingface.co/datasets/bigscience/P3>P3</a> with 8 training tasks</td> |
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<td><a href=https://huggingface.co/bigscience/bloomz-p3>bloomz-p3</a> & <a href=https://huggingface.co/bigscience/mt0-xxl-p3>mt0-xxl-p3</a></td> |
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</tr> |
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</table> |
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
