Covid Stpp: COVID-19 Case Event Sequences for New Jersey, March–July 2020

A benchmark-ready Spatio-Temporal Point Process (STPP) dataset derived from COVID-19 case data for New Jersey, following the official split semantics of the Neural STPP paper. Each record represents a sequence of COVID-19 case-report events for a specific reporting unit on a specific date in 2020. The dataset was created by author yahya021 and was last updated on the Hugging Face platform in April 2026.

Use Cases

• Benchmarking spatio-temporal point process models based on the official split semantics mentioned in the description.
• Modeling the spread of COVID-19 based on sequences of case-report events.
• Analyzing spatio-temporal patterns of disease incidence based on event time and location data.

Strengths

• Dataset is explicitly formatted for benchmark use, following the official split semantics of the Neural STPP paper.
• Data covers a defined period of the COVID-19 pandemic from March to July 2020.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Derived from COVID-19 case data for New Jersey.

Collection Method

Processed into a benchmark-ready Spatio-Temporal Point Process (STPP) format.

Time Range

2020 (March–July)

Freshness

Last updated 2026-04-13 17:51:20; freshness should be verified.

Geography

New Jersey, USA