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--- |
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license: other |
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language: |
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- en |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Amazon Review Description Dataset |
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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). |
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If you find this dataset useful, we kindly invite you to cite the following papers: |
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```bibtex |
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@article{liu2024tppllmm, |
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title={TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models}, |
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author={Liu, Zefang and Quan, Yinzhu}, |
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journal={arXiv preprint arXiv:2410.02062}, |
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year={2024} |
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} |
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@article{liu2024efficient, |
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title={Efficient Retrieval of Temporal Event Sequences from Textual Descriptions}, |
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author={Liu, Zefang and Quan, Yinzhu}, |
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journal={arXiv preprint arXiv:2410.14043}, |
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year={2024} |
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} |
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``` |
