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.
 
+## Examples:
+
+Index | Text
+------|-----
+8498  | no one sitting near me could tell that i was seething with rage .
+8500  | by now everyone knew we were an item , the thirty-five year old business mogul , and the twenty -three year old pop sensation .
+8501  | we 'd been able to keep our affair hidden for all of two months and that only because of my high security .
+8503  | i was n't too worried about it , i just do n't like my personal life splashed across the headlines , but i guess it came with the territory .
+8507  | i 'd sat there prepared to be bored out of my mind for the next two hours or so .
+8508  | i 've seen and had my fair share of models over the years , and they no longer appealed .
+8512  | when i finally looked up at the stage , my breath had got caught in my lungs .
+8516  | i pulled my phone and cancelled my dinner date and essentially ended the six-month relationship i 'd been barely having with another woman .
+8518  | when i see something that i want , i go after it .
+8529  | if i had anything to say about that , it would be a permanent thing , or until i 'd had my fill at least .
+
+
 ## Dataset Details
 
 <!-- Provide the basic links for the dataset. -->
@@ -34,6 +50,7 @@ This dataset is a filtered version of [BookCorpus](https://huggingface.co/datase
 - **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