Update README.md

README.md

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 ## Dataset Description
 
-- **Homepage:** 
-- **Repository:** 
+- **Repository: [https://github.com/finiteautomata/contextualized-hatespeech-classification](https://github.com/finiteautomata/contextualized-hatespeech-classification)** 
 - **Paper**: ["Assessing the impact of contextual information in hate speech detection"](https://arxiv.org/abs/2210.00465), Juan Manuel Pérez, Franco Luque, Demian Zayat, Martín Kondratzky, Agustín Moro, Pablo Serrati, Joaquín Zajac, Paula Miguel, Natalia Debandi, Agustín Gravano, Viviana Cotik
 - **Point of Contact**: jmperez (at) dc uba ar
 
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 ![Graphical representation of the dataset](Dataset%20graph.png)
 This dataset is a collection of tweets that were posted in response to news articles from five specific Argentinean news outlets: Clarín, Infobae, La Nación, Perfil and Crónica, during the COVID-19 pandemic. The comments were analyzed for hate speech across eight different characteristics: against women, racist content, class hatred, against LGBTQ+ individuals, against physical appearance, against people with disabilities, against criminals, and for political reasons. All the data is in Spanish.
 
-Each comments is labeled with the following variables
+Each comment is labeled with the following variables
 
 
 
@@ -42,6 +41,10 @@ Each comments is labeled with the following variables
 
 
 There is an extra label `CALLS`, which represents whether a comment is a call to violent action or not.
+
+The `HATEFUL` and `CALLS` labels are binarized by simple majority; the characteristic or category variables are put to `1` if at least one annotator marked it as such.
+
+A raw, non-aggregated version of the dataset can be found at [piuba-bigdata/contextualized_hate_speech_raw](https://huggingface.co/datasets/piuba-bigdata/contextualized_hate_speech_raw)
 ### Citation Information
 
 ```bibtex