{
 "id": "Asma/UStAI",
 "owner": "Asma",
 "name": "UStAI",
 "downloads": 20,
 "likes": 0,
 "last_modified": "2025-09-10T08:09:54.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "If you use this dataset in your research or work, please cite the following paper:\n\n```bibtex\n@inproceedings{10.1145/3727582.3728689,\nauthor = {Yamani, Asma and Baslyman, Malak and Ahmed, Moataz},\ntitle = {Leveraging LLMs for User Stories in AI Systems: UStAI Dataset},\nyear = {2025},\nisbn = {9798400715945},\npublisher = {Association for Computing Machinery},\naddress = {New York, NY, USA},\nurl = {[https://doi.org/10.1145/3727582.3728689](https://doi.org/10.1145/3727582.3728689)},\ndoi = {[https://doi.org/10.1145/3727582.3728689](https://doi.org/10.1145/3727582.3728689)},\nbooktitle = {Proceedings of the 21st International Conference on Predictive Models and Data Analytics in Software Engineering},\npages = {21–30},\nnumpages = {10},\nkeywords = {User stories, large language models, quality requirements, requirements elicitation, requirements generation},\nlocation = {Trondheim, Norway},\nseries = {PROMISE '25}\n}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "e7b6483aaf6d6927de890c747c1cab22142432ea",
 "stated_evidence": "https://huggingface.co/datasets/Asma/UStAI/blob/e7b6483aaf6d6927de890c747c1cab22142432ea/README.md",
 "file_evidence": "https://huggingface.co/datasets/Asma/UStAI/tree/e7b6483aaf6d6927de890c747c1cab22142432ea",
 "card_nc": false
}