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@@ -140,7 +140,7 @@ genter = load_dataset('aieng-lab/gradiend_race_data', pair_of_races, trust_remot
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  ### Dataset Description
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  <!-- Provide a longer summary of what this dataset is. -->
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- 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 used 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)).
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  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`).
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@@ -150,14 +150,14 @@ Based on the masked term (`source`), an associated `target` is derived from a co
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  - **Repository:** [github.com/aieng-lab/gradiend](https://github.com/aieng-lab/gradiend)
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  - **Paper:** [![arXiv](https://img.shields.io/badge/arXiv-2502.01406-blue.svg)](https://arxiv.org/abs/2502.01406)
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- - **Original Data**: [Wikipedia-10](https://drive.google.com/file/d/1boQTn44RnHdxWeUKQAlRgQ7xrlQ_Glwo)
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  ## Dataset Structure
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  <!-- 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. -->
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- - `text`: the original entry of BookCorpus
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  - `masked`: the masked version of `text`, i.e., with template masks for the name (`[NAME]`) and the pronoun (`[PRONOUN]`)
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  - `swapped`: like `masked` but with inserted `target` for `[MASK]`
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  - `source`: the word at the position of `[MASK]` in `masked` (e.g., `African`)
 
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  ### Dataset Description
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  <!-- Provide a longer summary of what this dataset is. -->
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+ 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)).
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  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`).
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  - **Repository:** [github.com/aieng-lab/gradiend](https://github.com/aieng-lab/gradiend)
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  - **Paper:** [![arXiv](https://img.shields.io/badge/arXiv-2502.01406-blue.svg)](https://arxiv.org/abs/2502.01406)
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+ - **Original Data**: [Wikipedia-10](https://drive.google.com/file/d/1boQTn44RnHdxWeUKQAlRgQ7xrlQ_Glwo) (a subset of [English Wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia))
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  ## Dataset Structure
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  <!-- 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. -->
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+ - `text`: the original entry of Wikipedia-10
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  - `masked`: the masked version of `text`, i.e., with template masks for the name (`[NAME]`) and the pronoun (`[PRONOUN]`)
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  - `swapped`: like `masked` but with inserted `target` for `[MASK]`
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  - `source`: the word at the position of `[MASK]` in `masked` (e.g., `African`)