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Update README.md

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@@ -10,8 +10,6 @@ license:
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  multilinguality:
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  - monolingual
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  pretty_name: Racó Forums
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- size_categories:
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- - ?
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  task_categories:
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  - fill-mask
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  task_ids: []
@@ -53,6 +51,8 @@ The Racó Forums Corpus is a 19-million-sentence corpus of Catalan user-generate
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  Since the existing available corpora in Catalan lacked conversational data, we searched for a major source of such data for Catalan, and we found Racó Català, a popular multitopic online forum. We obtained a database dump and we transformed all the threads so that we obtained documents that traversed all the existing paths from the root (initial comment) to the leaves (last comment with no reply). In other words, if T is a tree such that T = {A,B,C,D} and the first comment is A that is replied by B and C independently, and, then, C is replied by D, we obtain two different documents A,B and A,C,D in the fairseq language modeling format.
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  ### Supported Tasks and Leaderboards
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  This corpus is mainly intended to pretrain language models and word representations.
@@ -133,7 +133,7 @@ This work was funded by the [Departament de la Vicepresidència i de Polítiques
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  ### Licensing Information
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- [Creative Commons Attribution Non-commercial 4.0 International](https://creativecommons.org/licenses/by-nc/4.0/).
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  ### Citation Information
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  multilinguality:
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  - monolingual
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  pretty_name: Racó Forums
 
 
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  task_categories:
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  - fill-mask
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  task_ids: []
 
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  Since the existing available corpora in Catalan lacked conversational data, we searched for a major source of such data for Catalan, and we found Racó Català, a popular multitopic online forum. We obtained a database dump and we transformed all the threads so that we obtained documents that traversed all the existing paths from the root (initial comment) to the leaves (last comment with no reply). In other words, if T is a tree such that T = {A,B,C,D} and the first comment is A that is replied by B and C independently, and, then, C is replied by D, we obtain two different documents A,B and A,C,D in the fairseq language modeling format.
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+ This work is licensed under a [Creative Commons Attribution Non-commercial 4.0 International License](https://creativecommons.org/licenses/by-nc/4.0/).
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+
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  ### Supported Tasks and Leaderboards
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  This corpus is mainly intended to pretrain language models and word representations.
 
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  ### Licensing Information
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+ This work is licensed under a [Creative Commons Attribution Non-commercial 4.0 International License](https://creativecommons.org/licenses/by-nc/4.0/).
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  ### Citation Information
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