Update README.md

README.md

@@ -84,14 +84,6 @@ dataset_info:
 Examples taken from the Winograd Schema Challenge modified to ensure that answers are a single word from the context.
 This Modified Winograd Schema Challenge (MWSC) ensures that scores are neither inflated nor deflated by oddities in phrasing.
 
-### Supported Tasks and Leaderboards
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Languages
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
 ## Dataset Structure
 
 ### Data Instances
@@ -128,56 +120,6 @@ The data fields are the same among all splits.
 |-------|----:|---------:|---:|
 |default|   80|        82| 100|
 
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the source language producers?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the annotators?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Personal and Sensitive Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Discussion of Biases
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Other Known Limitations
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
 ### Licensing Information
 
 Our code for running decaNLP has been open sourced under BSD-3-Clause. 
@@ -191,15 +133,24 @@ From the [Winograd Schema Challenge](https://cs.nyu.edu/~davise/papers/WinogradS
 
 If you use this in your work, please cite:
 ```
+@inproceedings{10.5555/3031843.3031909,
+  author = {Levesque, Hector J. and Davis, Ernest and Morgenstern, Leora},
+  title = {The Winograd Schema Challenge},
+  year = {2012},
+  isbn = {9781577355601},
+  publisher = {AAAI Press},
+  abstract = {In this paper, we present an alternative to the Turing Test that has some conceptual and practical advantages. A Wino-grad schema is a pair of sentences that differ only in one or two words and that contain a referential ambiguity that is resolved in opposite directions in the two sentences. We have compiled a collection of Winograd schemas, designed so that the correct answer is obvious to the human reader, but cannot easily be found using selectional restrictions or statistical techniques over text corpora. A contestant in the Winograd Schema Challenge is presented with a collection of one sentence from each pair, and required to achieve human-level accuracy in choosing the correct disambiguation.},
+  booktitle = {Proceedings of the Thirteenth International Conference on Principles of Knowledge Representation and Reasoning},
+  pages = {552–561},
+  numpages = {10},
+  location = {Rome, Italy},
+  series = {KR'12}
+}
+
 @article{McCann2018decaNLP,
   title={The Natural Language Decathlon: Multitask Learning as Question Answering},
   author={Bryan McCann and Nitish Shirish Keskar and Caiming Xiong and Richard Socher},
   journal={arXiv preprint arXiv:1806.08730},
   year={2018}
 }
-```
-
-
-### Contributions
-
-Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@ghomasHudson](https://github.com/ghomasHudson), [@lhoestq](https://github.com/lhoestq) for adding this dataset.
+```