Update README.md

README.md

@@ -50,14 +50,14 @@ task_ids:
 ## Dataset Description
 
 - **Homepage:** [https://github.com/elenanereiss/Legal-Entity-Recognition](https://github.com/elenanereiss/Legal-Entity-Recognition)
-- **Repository:** [https://github.com/elenanereiss/Legal-Entity-Recognition](https://github.com/elenanereiss/Legal-Entity-Recognition)
 - **Paper:** [https://arxiv.org/pdf/2003.13016v1.pdf](https://arxiv.org/pdf/2003.13016v1.pdf)
+- **Point of Contact:** [[email protected]]([email protected])
 
 ### Dataset Summary
 
 A dataset of Legal Documents from German federal court decisions for Named Entity Recognition. The dataset is human-annotated with 19 fine-grained entity classes. The dataset consists of approx. 67,000 sentences and contains 54,000 annotated entities. NER tags use the `BIO` tagging scheme. 
 
-For more details see https://arxiv.org/pdf/2003.13016v1.pdf.
+For more details see [https://arxiv.org/pdf/2003.13016v1.pdf](https://arxiv.org/pdf/2003.13016v1.pdf).
 
 ### Supported Tasks and Leaderboards
 
@@ -99,29 +99,33 @@ DatasetDict({
 })
 ```
 
+<!-- 
+
 ## 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
 
 Court decisions from 2017 and 2018 were selected for the dataset, published online by the [Federal Ministry of Justice and Consumer Protection](http://www.rechtsprechung-im-internet.de). The documents originate from seven federal courts: Federal Labour Court (BAG), Federal Fiscal Court (BFH), Federal Court of Justice (BGH), Federal Patent Court (BPatG), Federal Social Court (BSG), Federal Constitutional Court (BVerfG) and Federal Administrative Court (BVerwG). 
 
-#### Initial Data Collection and Normalization
+<!-- #### 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
 
 For more details see [https://github.com/elenanereiss/Legal-Entity-Recognition/blob/master/docs/Annotationsrichtlinien.pdf](https://github.com/elenanereiss/Legal-Entity-Recognition/blob/master/docs/Annotationsrichtlinien.pdf).
 
-#### Annotation process
+<!-- #### Annotation process
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
@@ -152,6 +156,7 @@ For more details see [https://github.com/elenanereiss/Legal-Entity-Recognition/b
 ### Dataset Curators
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+ --> 
 
 ### Licensing Information
 
@@ -174,8 +179,10 @@ For more details see [https://github.com/elenanereiss/Legal-Entity-Recognition/b
   timestamp = {Sat, 23 Jan 2021 01:20:26 +0100},
   biburl    = {https://dblp.org/rec/journals/corr/abs-2003-13016.bib},
   bibsource = {dblp computer science bibliography, https://dblp.org}
-},
+}
+```
 
+```
 @inproceedings{leitner2019fine,
   author = {Elena Leitner and Georg Rehm and Julian Moreno-Schneider},
   title = {{Fine-grained Named Entity Recognition in Legal Documents}},