Update readme with citation bibtex

README.md

@@ -41,7 +41,7 @@ task_categories:
 
 - **Homepage:** https://bigscience.huggingface.co/promptsource
 - **Repository:** https://github.com/bigscience-workshop/promptsource/
-- **Paper:** TODO
+- **Paper:** [Multitask Prompted Training Enables Zero-Shot Task Generalization](https://arxiv.org/abs/2110.08207)
 - **Point of Contact:** [Victor Sanh](mailto:[email protected])
 
 ### Dataset Summary
@@ -50,7 +50,7 @@ P3 (Public Pool of Prompts) is a collection of prompted English datasets coverin
 
 Prompts are collected using [Promptsource](https://github.com/bigscience-workshop/promptsource), an interface to interactively write prompts on datasets, and collect prompt-specific metadata such as evaluation metrics. As of October 13th, there are 2'000 prompts collected for 270+ data(sub)sets. The collection of prompts of P3 is publicly available on [Promptsource](https://github.com/bigscience-workshop/promptsource).
 
-To train [T0*](https://huggingface.co/bigscience/T0pp), we used a subset of the prompts available in Promptsource (see details [here](https://huggingface.co/bigscience/T0pp#training-data)). However, some of the prompts use `random.choice`, a method that selects uniformly at random an option in a list of valid possibilities. For reproducibility purposes, we release the collection of prompted examples used to train T0*. **The data available here are the materialized version of the prompted datasets used in [{Multitask Prompted Training Enables Zero-Shot Task Generalization](TODO) which represent only a subset of the datasets for which there is at least one prompt on Promptsource.**
+To train [T0*](https://huggingface.co/bigscience/T0pp), we used a subset of the prompts available in Promptsource (see details [here](https://huggingface.co/bigscience/T0pp#training-data)). However, some of the prompts use `random.choice`, a method that selects uniformly at random an option in a list of valid possibilities. For reproducibility purposes, we release the collection of prompted examples used to train T0*. **The data available here are the materialized version of the prompted datasets used in [Multitask Prompted Training Enables Zero-Shot Task Generalization](https://arxiv.org/abs/2110.08207) which represent only a subset of the datasets for which there is at least one prompt on Promptsource.**
 
 ### Supported Tasks and Leaderboards
 
@@ -202,7 +202,14 @@ The dataset is released under Apache 2.0.
 ### Citation Information
 
 ```bibtex
-TODO
+@misc{sanh2021multitask,
+      title={Multitask Prompted Training Enables Zero-Shot Task Generalization}, 
+      author={Victor Sanh and Albert Webson and Colin Raffel and Stephen H. Bach and Lintang Sutawika and Zaid Alyafeai and Antoine Chaffin and Arnaud Stiegler and Teven Le Scao and Arun Raja and Manan Dey and M Saiful Bari and Canwen Xu and Urmish Thakker and Shanya Sharma Sharma and Eliza Szczechla and Taewoon Kim and Gunjan Chhablani and Nihal Nayak and Debajyoti Datta and Jonathan Chang and Mike Tian-Jian Jiang and Han Wang and Matteo Manica and Sheng Shen and Zheng Xin Yong and Harshit Pandey and Rachel Bawden and Thomas Wang and Trishala Neeraj and Jos Rozen and Abheesht Sharma and Andrea Santilli and Thibault Fevry and Jason Alan Fries and Ryan Teehan and Stella Biderman and Leo Gao and Tali Bers and Thomas Wolf and Alexander M. Rush},
+      year={2021},
+      eprint={2110.08207},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG}
+}TODO
 ```
 
 ### Contributions