NYC Green Taxi Trip Records for December 2016, Credit Card Payments

New York City trip record data from the Taxi and Limousine Commission for green taxis in December 2016. The dataset was transformed for a tabular regression benchmark, using 'tip_amount' as the target variable and focusing on credit card payment trips. It was downloaded in November 2018.

Use Cases

• Benchmarking regression model performance based on the 'tip_amount' target variable.
• Analyzing spatial trip patterns based on the categorical 'PULocationID' and 'DOLocationID' features.
• Engineering time-based features from the 'lpep_pickup_datetime' and 'lpep_dropoff_datetime' columns.

Strengths

• Dataset is part of a published tabular data benchmark, suggesting a standardized format for comparison.
• Focus on credit card payment trips ('payment_type' == 1) likely improves target variable consistency for tip prediction.

Limitations

• Row count and file size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred from the original TLC data dictionary after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

New York City Taxi and Limousine Commission (TLC)

Collection Method

Original trip record data was downloaded and transformed for a benchmark, with specific variables removed or ignored.

Time Range

December 2016

Geography

New York City, USA