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README.md

@@ -52,4 +52,21 @@ configs:
     path: data/validation-*
   - split: test
     path: data/test-*
+source_datasets:
+- ucberkeley-dlab/measuring-hate-speech
 ---
+
+# measuring-hate-speech-votes
+
+Measuring Hate Speech (Kennedy et al., 2020; Sachdeva et al., 2022), one row per comment with vote counts.
+
+The source has one row per (comment, annotator). Each survey item becomes a list of vote counts over its
+ordinal codes, in code order: 0-4 for the nine Likert items, where a higher code is more hateful
+(sentiment: strongly positive to strongly negative; respect: strongly respectful to strongly disrespectful;
+insult, humiliate, dehumanize, violence, genocide: strongly disagree to strongly agree; status: strongly
+superior to strongly inferior; attack_defend: strongly defending to strongly attacking), and 0-2 for
+hatespeech (no, unclear, yes). Survey wording: Sachdeva et al. (2022), appendix table 1. Comments with fewer
+than three annotators are dropped; rows are split 90/5/5 by a hash of the comment id. License: CC BY 4.0,
+as the original.
+
+Original data: [ucberkeley-dlab/measuring-hate-speech](https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/upload_repackaged.py](https://github.com/sileod/tasksource/blob/main/scripts/upload_repackaged.py).