tppllm/amazon-review-description

---
license: other
language:
- en
size_categories:
- 1K<n<10K
---
# Amazon Review Description Dataset

This dataset contains Amazon reviews from January 1, 2018, to June 30, 2018. It includes 2,245 sequences with 127,054 events across 18 category types. The original data is available at [Amazon Review Data](https://nijianmo.github.io/amazon/) with citation information provided on the page. The detailed data preprocessing steps used to create this dataset can be found in the [TPP-LLM paper](https://arxiv.org/abs/2410.02062) and [TPP-LLM-Embedding paper](https://arxiv.org/abs/2410.14043).

If you find this dataset useful, we kindly invite you to cite the following papers:
```bibtex
@article{liu2024tppllmm,
title={TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models},
author={Liu, Zefang and Quan, Yinzhu},
journal={arXiv preprint arXiv:2410.02062},
year={2024}
}

@article{liu2024efficient,
title={Efficient Retrieval of Temporal Event Sequences from Textual Descriptions},
author={Liu, Zefang and Quan, Yinzhu},
journal={arXiv preprint arXiv:2410.14043},
year={2024}
}
```