| | --- |
| | license: cc0-1.0 |
| | language: |
| | - en |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | # U.S. Earthquake Dataset |
| |
|
| | This dataset contains earthquake events in the U.S. from January 1, 2020, to December 31, 2023. It inclucdes 3,009 sequences with 29,521 events across 3 magnitude types. The original data can be accessed via [USGS Earthquake Search](https://earthquake.usgs.gov/earthquakes/search/). 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-Embedding paper](https://arxiv.org/abs/2410.14043). |
| |
|
| | **Update (2025-10-28):** Added three timestamp fields (`timestamp_event`, `timestamp_since_start`, `timestamp_since_last_event`) in seconds, and refreshed the dataset using the latest USGS source data. If you wish to reproduce the original TPP-LLM results, please refer to the earlier dataset snapshots in the Commit History. |
| |
|
| | 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{liu2024retrieval, |
| | title={Retrieval of Temporal Event Sequences from Textual Descriptions}, |
| | author={Liu, Zefang and Quan, Yinzhu}, |
| | journal={arXiv preprint arXiv:2410.14043}, |
| | year={2024} |
| | } |
| | ``` |
