Update dataset card

Update dataset card.

README.md

@@ -72,7 +72,7 @@ train-eval-index:
     name: SQuAD v2
 ---
 
-# Dataset Card for "squad_v2"
+# Dataset Card for SQuAD 2.0
 
 ## Table of Contents
 - [Dataset Card for "squad_v2"](#dataset-card-for-squad_v2)
@@ -108,27 +108,26 @@ train-eval-index:
 
 ## Dataset Description
 
-- **Homepage:** [https://rajpurkar.github.io/SQuAD-explorer/](https://rajpurkar.github.io/SQuAD-explorer/)
+- **Homepage:** https://rajpurkar.github.io/SQuAD-explorer/
 - **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/1806.03822
 - **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:** 46.49 MB
-- **Size of the generated dataset:** 128.52 MB
-- **Total amount of disk used:** 175.02 MB
 
 ### Dataset Summary
 
-combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers
- to look similar to answerable ones. To do well on SQuAD2.0, systems must not only answer questions when possible, but
- also determine when no answer is supported by the paragraph and abstain from answering.
+Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.
+
+SQuAD 2.0 combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers
+to look similar to answerable ones. To do well on SQuAD2.0, systems must not only answer questions when possible, but
+also determine when no answer is supported by the paragraph and abstain from answering.
 
 ### Supported Tasks and Leaderboards
 
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+Question Answering.
 
 ### Languages
 
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+English (`en`).
 
 ## Dataset Structure
 
@@ -227,23 +226,51 @@ 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 dataset is distributed under the CC BY-SA 4.0 license.
 
 ### Citation Information
 
 ```
-@article{2016arXiv160605250R,
-       author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
-                 Konstantin and {Liang}, Percy},
-        title = "{SQuAD: 100,000+ Questions for Machine Comprehension of Text}",
-      journal = {arXiv e-prints},
-         year = 2016,
-          eid = {arXiv:1606.05250},
-        pages = {arXiv:1606.05250},
-archivePrefix = {arXiv},
-       eprint = {1606.05250},
+@inproceedings{rajpurkar-etal-2018-know,
+    title = "Know What You Don{'}t Know: Unanswerable Questions for {SQ}u{AD}",
+    author = "Rajpurkar, Pranav  and
+      Jia, Robin  and
+      Liang, Percy",
+    editor = "Gurevych, Iryna  and
+      Miyao, Yusuke",
+    booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
+    month = jul,
+    year = "2018",
+    address = "Melbourne, Australia",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/P18-2124",
+    doi = "10.18653/v1/P18-2124",
+    pages = "784--789",
+    eprint={1806.03822},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+}
+@inproceedings{rajpurkar-etal-2016-squad,
+    title = "{SQ}u{AD}: 100,000+ Questions for Machine Comprehension of Text",
+    author = "Rajpurkar, Pranav  and
+      Zhang, Jian  and
+      Lopyrev, Konstantin  and
+      Liang, Percy",
+    editor = "Su, Jian  and
+      Duh, Kevin  and
+      Carreras, Xavier",
+    booktitle = "Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing",
+    month = nov,
+    year = "2016",
+    address = "Austin, Texas",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/D16-1264",
+    doi = "10.18653/v1/D16-1264",
+    pages = "2383--2392",
+    eprint={1606.05250},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL},
 }
-
 ```