---
dataset_info:
  features:
  - name: comment_id
    dtype: int32
  - name: text
    dtype: large_string
  - name: platform
    dtype: int8
  - name: annotators
    dtype: int64
  - name: hate_speech_score
    dtype: float64
  - name: sentiment
    list: int64
  - name: respect
    list: int64
  - name: insult
    list: int64
  - name: humiliate
    list: int64
  - name: status
    list: int64
  - name: dehumanize
    list: int64
  - name: violence
    list: int64
  - name: genocide
    list: int64
  - name: attack_defend
    list: int64
  - name: hatespeech
    list: int64
  splits:
  - name: train
    num_bytes: 9320253
    num_examples: 15612
  - name: validation
    num_bytes: 511148
    num_examples: 846
  - name: test
    num_bytes: 537097
    num_examples: 894
  download_size: 8699623
  dataset_size: 10368498
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
source_datasets:
- ucberkeley-dlab/measuring-hate-speech
license: cc-by-4.0
---

# 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).