Update README.md

README.md

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 This dataset is a filtered version of [BookCorpus](https://huggingface.co/datasets/bookcorpus/bookcorpus) containing only gender-neutral words.
 
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+> **__NOTE:__** This dataset is derived from BookCorpus, for which we do not have publication rights. Therefore, this repository only provides indices referring to gender-neutral entries within the BookCorpus dataset on Hugging Face. By using `load_dataset('aieng-lab/geneutral', trust_remote_code=True, split='train')`, both the indices and the full BookCorpus dataset are downloaded locally. The indices are then used to construct the GENEUTRAL dataset. The initial dataset generation takes a few minutes, but subsequent loads are cached for faster access. This setup only works with `datasets` versions beween `3.0.2` and `3.6.0` (successfully tested with Python 3.9-3.11), as later versions deprecated `trust_remote_code`. If your project depends on other `datasets` versions, we recommend generating the dataset once in a separate Python environment, saving the resulting data to disk, and then loading the local copy within your main project.
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 ```python
 geneutral = load_dataset('aieng-lab/geneutral', trust_remote_code=True, split='train')
 ```
@@ -55,7 +59,6 @@ Index | Text
 - **Paper:** [![arXiv](https://img.shields.io/badge/arXiv-2502.01406-blue.svg)](https://arxiv.org/abs/2502.01406)
 - **Original Data**: [BookCorpus](https://huggingface.co/datasets/bookcorpus/bookcorpus)
 
-> **__NOTE:__** This dataset is derived from BookCorpus, for which we do not have publication rights. Therefore, this repository only provides indices referring to gender-neutral entries within the BookCorpus dataset on Hugging Face. By using `load_dataset('aieng-lab/geneutral', trust_remote_code=True, split='train')`, both the indices and the full BookCorpus dataset are downloaded locally. The indices are then used to construct the GENEUTRAL dataset. The initial dataset generation takes a few minutes, but subsequent loads are cached for faster access.
 
 ## Uses