Efficient Retrieval of Temporal Event Sequences from Textual Descriptions
Paper • 2410.14043 • Published
dim_process int64 20 20 | seq_idx int64 0 3.24k | seq_len int64 30 120 | time_since_start listlengths 30 120 | time_since_last_event listlengths 30 120 | timestamp_event listlengths 30 120 | timestamp_since_start listlengths 30 120 | timestamp_since_last_event listlengths 30 120 | type_event listlengths 30 120 | type_text listlengths 30 120 |
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End of preview. Expand in Data Studio
Chicago Crime Dataset
This dataset contains reported crime incidents in Chicago from January 1, 2022, to December 31, 2023. It includes 4,033 sequences with 202,333 events across 20 crime types. The data is sourced from the Chicago Data Portal under the Terms of Use. The detailed data preprocessing steps used to create this dataset can be found in the TPP-LLM paper and TPP-Embedding paper.
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 official 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:
@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}
}
This site provides applications using data that has been modified for use from its original source, www.cityofchicago.org, the official website of the City of Chicago. The City of Chicago makes no claims as to the content, accuracy, timeliness, or completeness of any of the data provided at this site. The data provided at this site is subject to change at any time. It is understood that the data provided at this site is being used at one’s own risk.
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