{
 "id": "tppllm/amazon-review-description",
 "owner": "tppllm",
 "name": "amazon-review-description",
 "downloads": 29,
 "likes": 1,
 "last_modified": "2025-11-19T18:05:00.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@article{liu2024tppllmm,\n  title={TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models},\n  author={Liu, Zefang and Quan, Yinzhu},\n  journal={arXiv preprint arXiv:2410.02062},\n  year={2024}\n}\n\n@article{liu2024retrieval,\n  title={Retrieval of Temporal Event Sequences from Textual Descriptions},\n  author={Liu, Zefang and Quan, Yinzhu},\n  journal={arXiv preprint arXiv:2410.14043},\n  year={2024}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "fbcb5435581fbb30205260c0fccdba837dcc7f56",
 "stated_evidence": "https://huggingface.co/datasets/tppllm/amazon-review-description/blob/fbcb5435581fbb30205260c0fccdba837dcc7f56/README.md",
 "file_evidence": "https://huggingface.co/datasets/tppllm/amazon-review-description/tree/fbcb5435581fbb30205260c0fccdba837dcc7f56",
 "card_nc": false
}