Update README.md

README.md

@@ -16,10 +16,10 @@ configs:
   - text-level-bias
 ---
 
-# Dataset Card for "MBIB"
+# Dataset Card for Media-Bias-Identification-Benchmark
 
 ## Table of Contents
-- [Dataset Card for "MBIB"](#dataset-card-for-mbib)
+- [Dataset Card for Meida-Bias-Identification-Benchmark](#dataset-card-for-mbib)
   - [Table of Contents](#table-of-contents)
   - [Dataset Description](#dataset-description)
     - [Dataset Summary](#dataset-summary)
@@ -38,11 +38,10 @@ configs:
 
 ## Dataset Description
 
-- **Homepage:** https://github.com/coastalcph/lex-glue
-- **Repository:** https://github.com/coastalcph/lex-glue
-- **Paper:** https://arxiv.org/abs/2110.00976
-- **Leaderboard:** https://github.com/coastalcph/lex-glue
-- **Point of Contact:** [Ilias Chalkidis](mailto:ilias.chalkidis@di.ku.dk)
+- **Homepage:** https://github.com/Media-Bias-Group/Media-Bias-Identification-Benchmark
+- **Repository:** https://github.com/Media-Bias-Group/Media-Bias-Identification-Benchmark
+- **Paper:** TODO
+- **Point of Contact:** [Martin Wessel](mailto:martin.wessel@uni-konstanz.de)
 
 ### Dataset Summary
 
@@ -108,12 +107,8 @@ An example of one training instance looks as follows.
 
 ### Data Fields
 
-- `text`: a list of `string` features (list of factual paragraphs (facts) from the case description).
-- `labels`: a list of classification labels (a list of violated ECHR articles, if any) .
-<details>
-  <summary>List of ECHR articles</summary>
- "Article 2", "Article 3", "Article 5", "Article 6", "Article 8", "Article 9", "Article 10", "Article 11", "Article 14", "Article 1 of Protocol 1"
-</details>
+- `text`: a sentence from various sources (eg., news articles, twitter, other social media).
+- `label`: binary indicator of bias (0 = unbiased, 1 = biased)
 
 
 
@@ -121,40 +116,25 @@ An example of one training instance looks as follows.
 ## 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)
+TODO
 
 
 ### Discussion of Biases
 
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+TODO
 
 
 ### Other Known Limitations
 
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-
+TODO
 
 
 
 ### Citation Information
 
-[*Ilias Chalkidis, Abhik Jana, Dirk Hartung, Michael Bommarito, Ion Androutsopoulos, Daniel Martin Katz, and Nikolaos Aletras.*
-*LexGLUE: A Benchmark Dataset for Legal Language Understanding in English.*
-*2022. In the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics. Dublin, Ireland.*](https://arxiv.org/abs/2110.00976)
 ```
-@inproceedings{chalkidis-etal-2021-lexglue,
-        title={LexGLUE: A Benchmark Dataset for Legal Language Understanding in English}, 
-        author={Chalkidis, Ilias and Jana, Abhik and Hartung, Dirk and
-        Bommarito, Michael and Androutsopoulos, Ion and Katz, Daniel Martin and
-        Aletras, Nikolaos},
-        year={2022},
-        booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics},
-        address={Dubln, Ireland},
-}
+TODO
 ```
 
 ### Contributions
-
-Thanks to [@iliaschalkidis](https://github.com/iliaschalkidis) for adding this dataset.
+TODO