add individual copyright info

README.md

@@ -29,9 +29,9 @@ The English texts were machine translated back into German. This is how the para
 | **sum**                                                               |.       **21,292,789** |
 
 ## To-do
-- add copyright info of individual datasets
 - add column description
 - upload dataset
+- change own license to cc
 
 ## Back translation
 We have made the back translation from English to German with the help of [Fairseq](https://github.com/facebookresearch/fairseq).
@@ -52,16 +52,29 @@ en2de = torch.hub.load(
 **OpenSubtitles**
 - citation: P. Lison and J. Tiedemann, 2016, [OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles](http://www.lrec-conf.org/proceedings/lrec2016/pdf/947_Paper.pdf). In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016)
 - also see [http://www.opensubtitles.org/](http://www.opensubtitles.org/)
+- license: no special license has been provided at OPUS for this dataset
 
 **WikiMatrix v1**
 - citation: Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman, [WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia](https://arxiv.org/abs/1907.05791), arXiv, July 11 2019
+- license: [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
 
-**Tatoeba v2022-03-03, News-Commentary v16 & GlobalVoices v2018q4**
+**Tatoeba v2022-03-03**
 - citation: J. Tiedemann, 2012, [Parallel Data, Tools and Interfaces in OPUS](https://opus.nlpl.eu/Tatoeba-v2022-03-03.php). In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
+- license: [CC BY 2.0 FR](https://creativecommons.org/licenses/by/2.0/fr/)
+- copyright: https://tatoeba.org/eng/terms_of_use
 
 **TED2020 v1**
 - citation: Reimers, Nils and Gurevych, Iryna, [Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation](https://arxiv.org/abs/2004.09813), In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, November 2020
 - acknowledgements to [OPUS](https://opus.nlpl.eu/) for this service
+- license: please respect the [TED Talks Usage Policy](https://www.ted.com/about/our-organization/our-policies-terms/ted-talks-usage-policy)
+
+**News-Commentary v16**
+- citation: J. Tiedemann, 2012, [Parallel Data, Tools and Interfaces in OPUS](https://opus.nlpl.eu/Tatoeba-v2022-03-03.php). In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
+- license: no special license has been provided at OPUS for this dataset
+
+**GlobalVoices v2018q4**
+- citation: J. Tiedemann, 2012, [Parallel Data, Tools and Interfaces in OPUS](https://opus.nlpl.eu/Tatoeba-v2022-03-03.php). In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
+- license: no special license has been provided at OPUS for this dataset
 
 ## Licensing
 Copyright (c) 2022 Philip May, Deutsche Telekom AG