Fix metadata in dataset card

README.md

@@ -6,7 +6,7 @@ language_creators:
 language:
 - en
 license:
-- unknown
+- other
 multilinguality:
 - monolingual
 size_categories:
@@ -378,9 +378,9 @@ dataset_info:
 
 ## Dataset Description
 
-- **Homepage:** [https://github.com/google-research-datasets/boolean-questions](https://github.com/google-research-datasets/boolean-questions)
+- **Homepage:** https://super.gluebenchmark.com/
 - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Paper:** https://arxiv.org/abs/1905.00537
 - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 - **Size of downloaded dataset files:** 58.36 MB
 - **Size of the generated dataset:** 249.57 MB
@@ -392,11 +392,6 @@ SuperGLUE (https://super.gluebenchmark.com/) is a new benchmark styled after
 GLUE with a new set of more difficult language understanding tasks, improved
 resources, and a new public leaderboard.
 
-BoolQ (Boolean Questions, Clark et al., 2019a) is a QA task where each example consists of a short
-passage and a yes/no question about the passage. The questions are provided anonymously and
-unsolicited by users of the Google search engine, and afterwards paired with a paragraph from a
-Wikipedia article containing the answer. Following the original work, we evaluate with accuracy.
-
 ### Supported Tasks and Leaderboards
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
@@ -584,30 +579,104 @@ The data fields are the same among all splits.
 
 ### Licensing Information
 
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+The primary SuperGLUE tasks are built on and derived from existing datasets. We refer users to the original licenses accompanying each dataset, but it is our understanding that these licenses allow for their use and redistribution in a research context.
 
 ### Citation Information
 
+If you use SuperGLUE, please cite all the datasets you use in any papers that come out of your work. In addition, we encourage you to use the following BibTeX citation for SuperGLUE itself:
 ```
+@article{wang2019superglue,
+  title={Super{GLUE}: A Stickier Benchmark for General-Purpose Language Understanding Systems},
+  author={Alex Wang and Yada Pruksachatkun and Nikita Nangia and Amanpreet Singh and Julian Michael and Felix Hill and Omer Levy and Samuel R. Bowman},
+  journal={arXiv preprint 1905.00537},
+  year={2019}
+}
 @inproceedings{clark2019boolq,
-  title={BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions},
-  author={Clark, Christopher and Lee, Kenton and Chang, Ming-Wei, and Kwiatkowski, Tom and Collins, Michael, and Toutanova, Kristina},
-  booktitle={NAACL},
+  title={{B}ool{Q}: Exploring the Surprising Difficulty of Natural Yes/No Questions},
+  author={Clark, Christopher and Lee, Kenton and Chang, Ming-Wei and Kwiatkowski, Tom and Collins, Michael and Toutanova, Kristina},
+  booktitle={Proceedings of NAACL-HLT 2019},
   year={2019}
 }
-@article{wang2019superglue,
-  title={SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems},
-  author={Wang, Alex and Pruksachatkun, Yada and Nangia, Nikita and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R},
-  journal={arXiv preprint arXiv:1905.00537},
+@inproceedings{demarneffe:cb,
+  title={{The CommitmentBank}: Investigating projection in naturally occurring discourse},
+  author={De Marneffe, Marie-Catherine and Simons, Mandy and Tonhauser, Judith},
+  note={To appear in proceedings of Sinn und Bedeutung 23. Data can be found at https://github.com/mcdm/CommitmentBank/},
   year={2019}
 }
-
-Note that each SuperGLUE dataset has its own citation. Please see the source to
-get the correct citation for each contained dataset.
-
+@inproceedings{roemmele2011choice,
+  title={Choice of plausible alternatives: An evaluation of commonsense causal reasoning},
+  author={Roemmele, Melissa and Bejan, Cosmin Adrian and Gordon, Andrew S.},
+  booktitle={2011 AAAI Spring Symposium Series},
+  year={2011}
+}
+@inproceedings{khashabi2018looking,
+  title={Looking beyond the surface: A challenge set for reading comprehension over multiple sentences},
+  author={Khashabi, Daniel and Chaturvedi, Snigdha and Roth, Michael and Upadhyay, Shyam and Roth, Dan},
+  booktitle={Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)},
+  pages={252--262},
+  year={2018}
+}
+@article{zhang2018record,
+  title={{ReCoRD}: Bridging the Gap between Human and Machine Commonsense Reading Comprehension},
+  author={Sheng Zhang and Xiaodong Liu and Jingjing Liu and Jianfeng Gao and Kevin Duh and Benjamin Van Durme},
+  journal={arXiv preprint 1810.12885},
+  year={2018}
+}
+@incollection{dagan2006pascal,
+  title={The {PASCAL} recognising textual entailment challenge},
+  author={Dagan, Ido and Glickman, Oren and Magnini, Bernardo},
+  booktitle={Machine learning challenges. evaluating predictive uncertainty, visual object classification, and recognising tectual entailment},
+  pages={177--190},
+  year={2006},
+  publisher={Springer}
+}
+@article{bar2006second,
+  title={The second {PASCAL} recognising textual entailment challenge},
+  author={Bar Haim, Roy and Dagan, Ido and Dolan, Bill and Ferro, Lisa and Giampiccolo, Danilo and Magnini, Bernardo and Szpektor, Idan},
+  year={2006}
+}
+@inproceedings{giampiccolo2007third,
+  title={The third {PASCAL} recognizing textual entailment challenge},
+  author={Giampiccolo, Danilo and Magnini, Bernardo and Dagan, Ido and Dolan, Bill},
+  booktitle={Proceedings of the ACL-PASCAL workshop on textual entailment and paraphrasing},
+  pages={1--9},
+  year={2007},
+  organization={Association for Computational Linguistics},
+}
+@article{bentivogli2009fifth,
+  title={The Fifth {PASCAL} Recognizing Textual Entailment Challenge},
+  author={Bentivogli, Luisa and Dagan, Ido and Dang, Hoa Trang and Giampiccolo, Danilo and Magnini, Bernardo},
+  booktitle={TAC},
+  year={2009}
+}
+@inproceedings{pilehvar2018wic,
+  title={{WiC}: The Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations},
+  author={Pilehvar, Mohammad Taher and Camacho-Collados, Jose},
+  booktitle={Proceedings of NAACL-HLT},
+  year={2019}
+}
+@inproceedings{rudinger2018winogender,
+  title={Gender Bias in Coreference Resolution},
+  author={Rudinger, Rachel  and  Naradowsky, Jason  and  Leonard, Brian  and  {Van Durme}, Benjamin},
+  booktitle={Proceedings of NAACL-HLT},
+  year={2018}
+}
+@inproceedings{poliak2018dnc,
+  title={Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation},
+  author={Poliak, Adam and Haldar, Aparajita and Rudinger, Rachel and Hu, J. Edward and Pavlick, Ellie and White, Aaron Steven and {Van Durme}, Benjamin},
+  booktitle={Proceedings of EMNLP},
+  year={2018}
+}
+@inproceedings{levesque2011winograd,
+  title={The {W}inograd schema challenge},
+  author={Levesque, Hector J and Davis, Ernest and Morgenstern, Leora},
+  booktitle={{AAAI} Spring Symposium: Logical Formalizations of Commonsense Reasoning},
+  volume={46},
+  pages={47},
+  year={2011}
+}
 ```
 
-
 ### Contributions
 
 Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.