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added yaml information to readme

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@@ -19,7 +19,7 @@ The dataset is based on the earlier CWIG3G2 dataset, see the [paper](https://acl
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  Seid Muhie Yimam, Sanja Štajner, Martin Riedl, and Chris Biemann (2017): CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups. In Proceedings of The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017). Taipei, Taiwan
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  </pre>
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- The complexity data can be found in the CWIG3G2 dataset and combined with the senses provided by SeCoDa.
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  # Repository Content
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@@ -55,3 +55,15 @@ International License][cc-by-nc-sa].
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  [cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
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  [cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png
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  [cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Seid Muhie Yimam, Sanja Štajner, Martin Riedl, and Chris Biemann (2017): CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups. In Proceedings of The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017). Taipei, Taiwan
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  </pre>
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+ The complexity data can be found in the CWIG3G2 dataset and combined with the senses provided by SeCoDa.
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  # Repository Content
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  [cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
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  [cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png
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  [cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg
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+
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+
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+ ---
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+ language:
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+ - en
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+ tags:
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+ - wsd
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+ - lexical_complexity
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+ license: cc-by-nc-sa-4.0
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+ metrics:
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+ - f1
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+ ---