Temporal Event Sequences with Descriptions
Collection
A collection of real-world temporal event sequences from multiple domains with sequence descriptions generated by GPT-4o. • 7 items • Updated • 1
dim_process int64 20 20 | seq_idx int64 0 3.23k | seq_len int64 30 120 | time_since_start sequencelengths 30 120 | time_since_last_event sequencelengths 30 120 | type_event sequencelengths 30 120 | type_text sequencelengths 30 120 | description stringlengths 469 867 |
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"Deceptive Practice"... | The sequence of crime incidents shows a notable clustering of battery offenses occurring predominantly in the early months, with multiple occurrences within a short time frame. Assaults appear shortly after the initial battery incidents, while theft-related crimes emerge later in the timeline. Motor vehicle thefts and ... |
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"Criminal ... | The sequence of crime incidents shows a diverse range of crime types occurring over time, with a notable clustering of incidents in the earlier months. Weapons violations and assaults appear relatively frequently in the first half of the timeline, while thefts and deceptive practices increase in frequency as the sequen... |
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"Motor Vehicle Th... | The sequence of crime incidents begins with theft and criminal damage occurring in the first few months, followed by a mix of offenses including motor vehicle theft, battery, and other offenses within the first year. As time progresses, there is a notable clustering of battery incidents, particularly in the latter mont... |
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"Battery"... | The sequence of crime incidents in the block shows an initial occurrence of assault, followed by a variety of offenses that include battery, weapons violations, and sex offenses within the first few months. As time progresses, there is a noticeable clustering of battery incidents, particularly between the 12th and 19th... |
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"B... | The sequence of crime incidents shows a variety of crime types reported over time, with a notable clustering of theft-related incidents occurring throughout the timeline. Assaults and batteries appear relatively early in the sequence, while motor vehicle thefts and robberies are more prevalent in the later months. Crim... |
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"... | The sequence of crime incidents shows a progression over time, with various types of crimes occurring at different intervals. Initially, incidents such as Criminal Damage and Assault appear early in the timeline, while Theft incidents become increasingly frequent, particularly from the 4-month mark onward, indicating a... |
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"Deceptive... | The sequence of crime incidents begins with assaults and weapons violations occurring in the initial months, followed by a variety of offenses such as theft and robbery as time progresses. Notably, assaults appear frequently throughout the timeline, particularly clustering in the earlier months and re-emerging later. D... |
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"Thef... | The sequence of crime incidents in the Chicago block shows a notable clustering of thefts, which occur frequently throughout the timeline, particularly in the early and later months. Criminal damage incidents also appear regularly, often in close proximity to one another. Motor vehicle thefts are prevalent, with multip... |
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"Criminal Sexual Assaul... | The sequence of crime incidents shows a diverse range of offenses occurring over time, with notable clustering of certain types. Assaults and batteries appear frequently in the earlier months, while property crimes like burglary and theft are also present but less concentrated. As time progresses, there is a noticeable... |
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"Thef... | The sequence of crime incidents shows a progression over time with various types of offenses reported. Initially, narcotics-related incidents occur, followed by a mix of criminal damage and deceptive practices. As time progresses, thefts become more frequent, particularly around the 7 to 19-month mark, where they clust... |
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"Criminal Tres... | The sequence of crime incidents shows a pattern where thefts occur frequently, particularly in the early and middle stages, with multiple occurrences clustered around the 3 to 14-month mark. Criminal damage incidents are also prevalent, appearing consistently throughout the timeline, especially in the initial and later... |
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20 | 13 | 69 | [
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20 | 15 | 63 | [
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20 | 20 | 110 | [
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20 | 22 | 51 | [
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... | The sequence of crime incidents in the block unfolds over a span of several months, with notable clustering of certain crime types at various points. Initially, incidents such as battery and theft appear relatively early, with theft becoming increasingly frequent as time progresses. Battery incidents show a significant... |
20 | 24 | 71 | [
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20 | 25 | 49 | [
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20 | 26 | 49 | [
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20 | 27 | 33 | [
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20 | 28 | 30 | [
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20 | 29 | 48 | [
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20 | 30 | 47 | [
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20 | 31 | 34 | [
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20 | 33 | 86 | [
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20 | 34 | 32 | [
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20 | 35 | 46 | [
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20 | 36 | 34 | [
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20 | 37 | 84 | [
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20 | 38 | 32 | [
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20 | 39 | 40 | [
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20 | 42 | 74 | [
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20 | 43 | 41 | [
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20 | 44 | 37 | [
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"... | The sequence of crime incidents shows a notable prevalence of theft, which occurs frequently throughout the timeline, often clustering in the earlier months. Deceptive practices also appear regularly, particularly in the initial and later periods, indicating a sustained pattern. Battery incidents are more sporadic but ... |
20 | 49 | 62 | [
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20 | 51 | 48 | [
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"... | The sequence of crime incidents begins with Deceptive Practices and Thefts occurring within the first few months, with a notable increase in the variety of offenses around the three-month mark, including Criminal Trespass and Battery. As time progresses, Robberies emerge prominently between months four and five, follow... |
20 | 52 | 46 | [
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20 | 53 | 53 | [
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"Battery",... | The sequence of crime incidents shows a notable clustering of assaults and batteries, particularly in the later months, with multiple occurrences of these types in close succession. Initially, incidents such as theft and other offenses appear early in the timeline, but as time progresses, there is a marked increase in ... |
End of preview. Expand in Data Studio
Chicago Crime Description 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.
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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