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svannie678/red_team_repo_social_bias_dataset_information

published by @svannie678

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
925
Last 30 days
51
Likes
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Size
38 KB
Created on HF
2024-09-10
Age
2 years ago

Description

Dataset Card for A Red-Teaming Repository of Existing Social Bias Prompts (Dataset Information)

Summary

This dataset provides detailed information on:

Included Datasets: Information about each dataset that contributes to the unified repository of red-teaming prompts.

Considered Datasets: Information on all reviewed datasets, including those not selected for inclusion.

Project Summary Page: For more information about my 2024 AI Safety Capstone project

All… See the full description on the dataset page: https://huggingface.co/datasets/svannie678/red_team_repo_social_bias_dataset_information.

Tags

language:ensize_categories:n<1Kformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


language:

  • en
    size_categories:
  • n<1K
    dataset_info:
  • config_name: dataset_included_information
    features:
    • name: hf_link
      dtype: string
    • name: organization
      dtype: string
    • name: primary_data_source
      dtype: string
    • name: reason_for_inclusion
      dtype: string
    • name: year_published
      dtype: int64
    • name: prompt_type
      dtype: string
    • name: prompt_creation
      dtype: string
    • name: categorization
      dtype: string
    • name: categorization_definition
      dtype: string
    • name: dataset_size
      dtype: int64
    • name: datasets
      dtype: string
      splits:
    • name: train
      num_bytes: 18250
      num_examples: 13
      download_size: 23129
      dataset_size: 18250
  • config_name: datasets_considered
    features:
    • name: organization
      dtype: string
    • name: primary_data_source
      dtype: string
    • name: status
      dtype: string
    • name: hf_link
      dtype: string
    • name: other_relevant_links
      dtype: string
      splits:
    • name: train
      num_bytes: 19616
      num_examples: 140
      download_size: 8209
      dataset_size: 19616
      configs:
  • config_name: dataset_included_information
    data_files:
    • split: train
      path: dataset_included_information/train-*
  • config_name: datasets_considered
    data_files:
    • split: train
      path: datasets_considered/train-*

Dataset Card for A Red-Teaming Repository of Existing Social Bias Prompts (Dataset Information)

Summary

This dataset provides detailed information on:

  • Included Datasets: Information about each dataset that contributes to the unified repository of red-teaming prompts.
  • Considered Datasets: Information on all reviewed datasets, including those not selected for inclusion.

Project Summary Page: For more information about my 2024 AI Safety Capstone project

All Prompts: Click here to view the unified dataset containing prompts.

Dataset Details

This dataset is part of my AI Safety Capstone project. It includes comprehensive details on the 13 datasets containing prompts about social biases, as well as brief information on the 140 datasets considered.

Dataset Structure

dataset_included_information

This section details the datasets included in the unified repository:

Column Name Description
hf_link Link to the original dataset.
organization The name of the organization that published the original dataset.
primary_data_source Primary Data Source used to identify the dataset (Ex: safetyprompts.com, personal knowledge, etc).
reason_for_inclusion Justification for inclusion, including dataset use, categorizations, links to original papers, etc.
prompt_type Classification as a single prompt or a multi-turn conversation.
prompt_creation Indicates if prompts were generated by humans, models, or a combination..
categorization Specific categorizations of interest within the original dataset (e.g., Hate Speech).
categorization_definition Definition of the categorization of interest as described in the original dataset..
dataset_size Number of unique prompts from each original dataset.

datasets_considered
This section lists all datasets considered, along with their inclusion status:

Column Name Description
organization The name of the organization that published the original dataset.
primary_data_source Primary data source used to identify the dataset (e.g., safetyprompts.com, personal knowledge)..
status Inclusion status and reasons for exclusion, if applicable.
hf_link Link to the original dataset, if applicable.
other_relevant_links Links to papers or other resources if the dataset is not hosted on Hugging Face.

For more information on Dataset Collection Methods check out my project page

README history 15 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

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  3. 2024-09-11Update README.md45a16d87.1 KB
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  4. 2024-09-11Upload dataset37089407.1 KB
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  11. 2024-09-10Upload dataset0d293ee1.2 KB
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  14. 2024-09-10Upload datasetb782545796 B
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  15. 2024-09-10initial commit586843b0 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2024-09-11[bot] Conversion to Parquetopen1 💬#1
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Repository

Download the dataset

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("svannie678/red_team_repo_social_bias_dataset_information")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="svannie678/red_team_repo_social_bias_dataset_information", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/svannie678/red_team_repo_social_bias_dataset_information
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