added second testset, added Informations to modelcard

README.md

@@ -1,7 +1,14 @@
 ---
 language:
 - de
-
+license: cc-by-nc-4.0
+tags: 
+- Sentiment Analysis
+size_categories:
+- 10K<n<100K
+task_categories:
+- sentiment-classification
+- sentiment-analysis
 configs:
 - config_name: default
   sep: "\t+"
@@ -9,8 +16,38 @@ configs:
   data_files:
   - split: train
     path: "train-2017-09-15.tsv"
-  - split: test
+  - split: test_dia
+    path: "test_dia-2017-09-15.tsv"
+  - split: test_syn
     path: "test_syn-2017-09-15.tsv"
   - split: dev
     path: "dev-2017-09-15.tsv"
----
+---
+
+# GermEval 2017 Shared Task on Aspect-based Sentiment in Social Media Customer Feedback
+This Dataset is from the GermEval Task 2017 - Shared Task on Aspect-based Sentiment in Social Media Customer Feedback
+The original website with detailed information about the Task can be found [here](https://sites.google.com/view/germeval2017-absa)
+
+## Format
+The data is provided as TSV. There are two Testsets (synchronic and diachronic)
+
+``ID <tab> Text <tab> Relevance <tab> Sentiment <tab> Aspect:Polarity (whitespace separated)``
+
+## Annotation Guidelines
+The annotation guidelines in German can be found [here](http://ltdata1.informatik.uni-hamburg.de/germeval2017/Guidelines_DB_v4.pdf).
+
+### Licensing Information
+The data is published under a creative commons by nc (4.0) licence
+
+### Citation Information
+
+```
+@inproceedings{germevaltask2017,
+title = {{GermEval 2017: Shared Task on Aspect-based Sentiment in Social Media Customer Feedback}},
+author = {Michael Wojatzki and Eugen Ruppert and Sarah Holschneider and Torsten Zesch and Chris Biemann},
+year = {2017},
+booktitle = {Proceedings of the GermEval 2017 – Shared Task on Aspect-based Sentiment in Social Media Customer Feedback},
+address={Berlin, Germany},
+pages={1--12}
+}
+```