Update README.md

README.md

@@ -21,6 +21,60 @@ configs:
   - split: train
     path: data/train-*
 ---
-# Dataset Card for "ArabicDarija-xP3x"
+# Dataset Card for "ArabicDarija-xP3x" part of "xP3x" by [Muennighoff](https://huggingface.co/Muennighoff)
+
+## Find below part of the original dataset card
+## Dataset Description
+
+- **Repository:** https://github.com/bigscience-workshop/xmtf
+- **Paper:** [Crosslingual Generalization through Multitask Finetuning](https://arxiv.org/abs/2211.01786)
+- **Point of Contact:** [Niklas Muennighoff](mailto:n.muennighoff@gmail.com)
+
+### Dataset Summary
+
+> 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/) 🧡
+> 
+- **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.
+- **Languages:** 277
+- **xP3 Dataset Family:**
+
+<table>
+  <tr>
+<th>Name</th>
+<th>Explanation</th>
+<th>Example models</th>
+</tr>
+<tr>
+<td><a href=https://huggingface.co/datasets/Muennighoff/xP3x>xP3x</a></t> 
+<td>Mixture of 17 tasks in 277 languages with English prompts</td>
+<td>WIP - Join us at Project Aya @<a href=https://cohere.for.ai/>C4AI</a> to help!</td>
+</tr>
+<tr>
+<td><a href=https://huggingface.co/datasets/bigscience/xP3>xP3</a></t> 
+<td>Mixture of 13 training tasks in 46 languages with English prompts</td>
+<td><a href=https://huggingface.co/bigscience/bloomz>bloomz</a> & <a href=https://huggingface.co/bigscience/mt0-xxl>mt0-xxl</a></td>
+</tr>
+<tr>
+<td><a href=https://huggingface.co/datasets/bigscience/xP3mt>xP3mt</a></t> 
+<td>Mixture of 13 training tasks in 46 languages with prompts in 20 languages (machine-translated from English)</td>
+<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>
+</tr>
+<tr>
+<td><a href=https://huggingface.co/datasets/bigscience/xP3all>xP3all</a></t> 
+<td>xP3 + evaluation datasets adding an additional 3 tasks for a total of 16 tasks in 46 languages with English prompts</td>
+<td></td>
+</tr>
+<tr>
+<td><a href=https://huggingface.co/datasets/bigscience/xP3megds>xP3megds</a></t> 
+<td><a href=https://github.com/bigscience-workshop/Megatron-DeepSpeed>Megatron-DeepSpeed</a> processed version of xP3</td>
+<td><a href=https://huggingface.co/bigscience/bloomz>bloomz</a></td>
+</tr>
+<tr>
+<td><a href=https://huggingface.co/datasets/Muennighoff/P3>P3</a></t> 
+<td>Repreprocessed version of the English-only <a href=https://huggingface.co/datasets/bigscience/P3>P3</a> with 8 training tasks</td>
+<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>
+</tr>
+</table>
+
 
 [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)