size_categories:10K<n<100K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: chosen
    list:
    - name: content
      dtype: string
    - name: role
      dtype: string
  - name: rejected
    list:
    - name: content
      dtype: string
    - name: role
      dtype: string
  splits:
  - name: Muslim
    num_bytes: 469439
    num_examples: 444
  - name: Jewish
    num_bytes: 559549
    num_examples: 523
  - name: Other_religion
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    num_examples: 371
  - name: Daily_users
    num_bytes: 4171328
    num_examples: 3855
  - name: Black
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    num_examples: 1552
  - name: Hispanic
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    num_examples: 1686
  - name: Asian
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    num_examples: 1291
  - name: Mixed_ethnicity
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    num_examples: 962
  - name: Not_familiar
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    num_examples: 2017
  - name: Old
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    num_examples: 1303
  - name: Older_unmarried
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    num_examples: 648
  - name: Divorced
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  - name: Homemaker
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  - name: Safety_unconcerned
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    num_examples: 463
  - name: Education_no_secondary
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    num_examples: 563
  download_size: 9706860
  dataset_size: 19116026
configs:
- config_name: default
  data_files:
  - split: Muslim
    path: data/Muslim-*
  - split: Jewish
    path: data/Jewish-*
  - split: Other_religion
    path: data/Other_religion-*
  - split: Daily_users
    path: data/Daily_users-*
  - split: Black
    path: data/Black-*
  - split: Hispanic
    path: data/Hispanic-*
  - split: Asian
    path: data/Asian-*
  - split: Mixed_ethnicity
    path: data/Mixed_ethnicity-*
  - split: Not_familiar
    path: data/Not_familiar-*
  - split: Old
    path: data/Old-*
  - split: Older_unmarried
    path: data/Older_unmarried-*
  - split: Divorced
    path: data/Divorced-*
  - split: Homemaker
    path: data/Homemaker-*
  - split: Safety_unconcerned
    path: data/Safety_unconcerned-*
  - split: Education_no_secondary
    path: data/Education_no_secondary-*
---

Original dataset: [PRISM](https://huggingface.co/datasets/HannahRoseKirk/prism-alignment)

This dataset comprises preference pairs extracted from user conversations, categorized by demographic filters. Each preference pair includes a user prompt and two assistant responses, with one response preferred over the other. The dataset is organized into subsets based on specific demographic attributes, enabling targeted analysis.