README.md

metadata

dataset_info:
  - config_name: asian_to_black
    features:
      - name: text
        dtype: string
      - name: swapped
        dtype: string
      - name: masked
        dtype: string
      - name: source
        dtype: string
      - name: target
        dtype: string
      - name: source_id
        dtype: string
      - name: target_id
        dtype: string
    splits:
      - name: train
        num_bytes: 39396761
        num_examples: 27016
      - name: val
        num_bytes: 39396761
        num_examples: 27016
      - name: test
        num_bytes: 39396761
        num_examples: 27016
    download_size: 74877080
    dataset_size: 118190283
  - config_name: asian_to_white
    features:
      - name: text
        dtype: string
      - name: swapped
        dtype: string
      - name: masked
        dtype: string
      - name: source
        dtype: string
      - name: target
        dtype: string
      - name: source_id
        dtype: string
      - name: target_id
        dtype: string
    splits:
      - name: train
        num_bytes: 41288195
        num_examples: 27016
      - name: val
        num_bytes: 41288195
        num_examples: 27016
      - name: test
        num_bytes: 41288195
        num_examples: 27016
    download_size: 78565107
    dataset_size: 123864585
  - config_name: black_to_white
    features:
      - name: text
        dtype: string
      - name: swapped
        dtype: string
      - name: masked
        dtype: string
      - name: source
        dtype: string
      - name: target
        dtype: string
      - name: source_id
        dtype: string
      - name: target_id
        dtype: string
    splits:
      - name: train
        num_bytes: 59726209
        num_examples: 36694
      - name: val
        num_bytes: 59726209
        num_examples: 36694
      - name: test
        num_bytes: 59726209
        num_examples: 36694
    download_size: 114734341
    dataset_size: 179178627
configs:
  - config_name: asian_to_black
    data_files:
      - split: train
        path: asian_to_black/train-*
      - split: val
        path: asian_to_black/val-*
      - split: test
        path: asian_to_black/test-*
  - config_name: asian_to_white
    data_files:
      - split: train
        path: asian_to_white/train-*
      - split: val
        path: asian_to_white/val-*
      - split: test
        path: asian_to_white/test-*
  - config_name: black_to_white
    data_files:
      - split: train
        path: black_to_white/train-*
      - split: val
        path: black_to_white/val-*
      - split: test
        path: black_to_white/test-*
license: cc-by-sa-4.0
language:
  - en

GRADIEND Race Data

This dataset consists of templated sentences with the masked word being sensitive to race, e.g., African.

See GENTER and GRADIEND Religion Data for similar datasets.

Usage

genter = load_dataset('aieng-lab/gradiend_race_data', pair_of_races, trust_remote_code=True, split=split)

split can be either train, val, test, or all.

pair_of_races can be asian_to_black, asian_to_white, or black_to_white.

Dataset Details

Dataset Description

This dataset is a filtered version of Wikipedia-10 containing only sentences that contain a race bias sensitive word of the source_id race. We used the same bias sensitive words as defined by Maede et al. (2021) (bias attribute words). Based on the masked term (source), an associated target is derived from a corresponding bias attribute pair, matching the casing of source (e.g., White gets to Black and not black).

Dataset Sources

• Repository: github.com/aieng-lab/gradiend
• Paper:
• Original Data: Wikipedia-10 (a subset of English Wikipedia)

Dataset Structure

• text: the original entry of Wikipedia-10
• masked: the masked version of text, i.e., with template masks for the name ([NAME]) and the pronoun ([PRONOUN])
• swapped: like masked but with inserted target for [MASK]
• source: the word at the position of [MASK] in masked (e.g., African)
• source_id: a normalized identifier for the source (e.g., black). All entries of the same pair_of_races have the same source_id.
• target: the word inserted for [MASK] in swapped
• target_id: a normalized identifier for the target. All entries of the same pair_of_raceshave the same target_id.

Dataset Creation

Curation Rationale

For the training of a race bias GRADIEND models, a diverse dataset is required to asses model gradients relevant to bias-sensitive information.

Source Data

The dataset is derived from Wikipedia-10 by filtering it and extracting the template structure. Whe Wikipedia-10 dump is derived from English Wikipedia by Maede et al. 2021.

Limitations

Note that the splitting is performed entirely random. Thus, the same masked text might occur in other splits (in combination with other target words). The same limitation holds across different pair_of_races.

Citation

BibTeX:

@misc{drechsel2025gradiendfeaturelearning,
      title={{GRADIEND}: Feature Learning within Neural Networks Exemplified through Biases}, 
      author={Jonathan Drechsel and Steffen Herbold},
      year={2025},
      eprint={2502.01406},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2502.01406}, 
}

Dataset Card Authors

jdrechsel