README.md

---
dataset_info:
- config_name: asian_to_black
  features:
  - name: text
    dtype: string
  - name: swapped
    dtype: string
  - name: masked
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  - name: source
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  - name: target
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  download_size: 74877080
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- config_name: asian_to_white
  features:
  - name: text
    dtype: string
  - name: swapped
    dtype: string
  - name: masked
    dtype: string
  - name: source
    dtype: string
  - name: target
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  - name: val
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  - name: test
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  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
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    dtype: string
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  - name: test
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  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

<!-- Provide a quick summary of the dataset. -->

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

```

See [GENTER](https://huggingface.co/datasets/aieng-lab/genter) and [GRADIEND Religion Data](https://huggingface.co/datasets/aieng-lab/gradiend_religion_data) for similar datasets.

## Usage
```python
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

<!-- Provide a longer summary of what this dataset is. -->
This dataset is a filtered version of [Wikipedia-10](https://drive.google.com/file/d/1boQTn44RnHdxWeUKQAlRgQ7xrlQ_Glwo/view?usp=sharing) 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)](https://arxiv.org/abs/2110.08527) ([bias attribute words](https://github.com/McGill-NLP/bias-bench/blob/main/data/bias_attribute_words.json)).
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

<!-- Provide the basic links for the dataset. -->

- **Repository:** [github.com/aieng-lab/gradiend](https://github.com/aieng-lab/gradiend)
- **Paper:** [![arXiv](https://img.shields.io/badge/arXiv-2502.01406-blue.svg)](https://arxiv.org/abs/2502.01406)
- **Original Data**: [Wikipedia-10](https://drive.google.com/file/d/1boQTn44RnHdxWeUKQAlRgQ7xrlQ_Glwo) (a subset of [English Wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia))


## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

- `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_races`have the same `target_id`.


## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

For the training of a race bias [GRADIEND models](https://github.com/aieng-lab/gradiend), a diverse dataset is required to asses model gradients relevant to bias-sensitive information.

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

The dataset is derived from [Wikipedia-10](https://drive.google.com/file/d/1boQTn44RnHdxWeUKQAlRgQ7xrlQ_Glwo) by filtering it and extracting the template structure. Whe Wikipedia-10 dump is derived from [English Wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) by [Maede et al. 2021](https://arxiv.org/pdf/2110.08527).


### 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

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**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](https://huggingface.co/jdrechsel)