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  # Dataset Card for Dataset Name
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  The dataset contains 784 tweets related to immigration, racism, islamophobia, and xenophobia in the context of the BREXIT online discussion.
 
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  Each tweet has been annotated by 6 annotators, 3 of which belong to the group targeted by the discriminatory content (immigrants and Muslim annotators living in the UK), and 3 of which are part of a "control" group, not directly targeted by the discriminatory content.
 
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  We release the dataset in a disaggregated manner (each line corresponds to the annotation of a single annotator).
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  ## Dataset Details
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  - **Language(s) (NLP):** en
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  - **License:** cc-by-sa-4.0
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- ### Dataset Sources [optional]
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-
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- <!-- Provide the basic links for the dataset. -->
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-
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- - **Paper [optional]:** [More Information Needed]
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-
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  ## Uses
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  <!-- Address questions around how the dataset is intended to be used. -->
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  - offensiveness: whether or not the tweet is offensive according to the annotator
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  - stereotype: whether or not the tweet contains a stereotype according to the annotator
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  - aggressiveness: whether or not the tweet is aggressive, according to the annotator
 
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  The guidelines given to the annotators will be made public.
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  ## Dataset Creation
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  <!-- Motivation for the creation of this dataset. -->
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  The dataset is created to better study consistent disagreement among annotators, specifically in the context when a group of annotators is targeted by discriminatory content.
 
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  We observe systematic disagreement and polarization between the target and the control group.
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  ### Source Data
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  [More Information Needed]
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- ### Annotations [optional]
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  <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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  The dataset contains derogatory content, including racist and Islamophobic slurs.
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- ## Citation [optional]
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  <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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  **BibTeX:**
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- [More Information Needed]
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-
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- ## Dataset Card Contact
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  [More Information Needed]
 
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  # Dataset Card for Dataset Name
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  The dataset contains 784 tweets related to immigration, racism, islamophobia, and xenophobia in the context of the BREXIT online discussion.
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+
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  Each tweet has been annotated by 6 annotators, 3 of which belong to the group targeted by the discriminatory content (immigrants and Muslim annotators living in the UK), and 3 of which are part of a "control" group, not directly targeted by the discriminatory content.
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  We release the dataset in a disaggregated manner (each line corresponds to the annotation of a single annotator).
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  ## Dataset Details
 
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  - **Language(s) (NLP):** en
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  - **License:** cc-by-sa-4.0
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  ## Uses
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  <!-- Address questions around how the dataset is intended to be used. -->
 
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  - offensiveness: whether or not the tweet is offensive according to the annotator
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  - stereotype: whether or not the tweet contains a stereotype according to the annotator
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  - aggressiveness: whether or not the tweet is aggressive, according to the annotator
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  The guidelines given to the annotators will be made public.
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  ## Dataset Creation
 
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  <!-- Motivation for the creation of this dataset. -->
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  The dataset is created to better study consistent disagreement among annotators, specifically in the context when a group of annotators is targeted by discriminatory content.
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+
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  We observe systematic disagreement and polarization between the target and the control group.
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  ### Source Data
 
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  [More Information Needed]
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+ ### Annotations
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  <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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  The dataset contains derogatory content, including racist and Islamophobic slurs.
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+ ## Citation
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  <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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  **BibTeX:**
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  [More Information Needed]