Create README.md

README.md

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+# Measuring Hate Speech
+
+This is a public release of the dataset described in Kennedy et al. (2020).
+
+Key dataset columns:
+
+ * hate\_speech\_score - continuous hate speech measure, where higher = more hateful and lower = less hateful
+ * text - lightly processed text of a social media post
+ * comment\_id - unique ID for each comment
+ * annotator\_id - unique ID for each annotator
+ * sentiment - ordinal label that is combined into the continuous score
+ * respect - ordinal label that is combined into the continuous score
+ * insult - ordinal label that is combined into the continuous score
+ * humiliate - ordinal label that is combined into the continuous score
+ * status - ordinal label that is combined into the continuous score
+ * dehumanize - ordinal label that is combined into the continuous score
+ * violence - ordinal label that is combined into the continuous score
+ * genocide - ordinal label that is combined into the continuous score
+ * attack\_defend - ordinal label that is combined into the continuous score
+ * hatespeech - ordinal label that is combined into the continuous score
+
+
+## Citation
+
+```
+@article{kennedy2020constructing,
+  title={Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application},
+  author={Kennedy, Chris J and Bacon, Geoff and Sahn, Alexander and von Vacano, Claudia},
+  journal={arXiv preprint arXiv:2009.10277},
+  year={2020}
+}
+```
+
+## References
+
+Kennedy, C. J., Bacon, G., Sahn, A., & von Vacano, C. (2020). [Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application](https://arxiv.org/abs/2009.10277). arXiv preprint arXiv:2009.10277.