NYC Green Taxi Trip Records from December 2016 for Regression Benchmarking

Trip Record Data provided by the New York City Taxi and Limousine Commission (TLC) includes TLC trips of the green line in December 2016. The dataset was downloaded on 03.11.2018 and transformed for a tabular data benchmark, with 'tip_amount' as the target variable. It includes only credit card payment trips and excludes certain fare-related columns to emphasize categorical location features.

Use Cases

• Benchmarking regression model performance based on the 'tip_amount' target variable.
• Analyzing spatial trip patterns based on the 'PULocationID' and 'DOLocationID' categorical features.
• Studying temporal patterns in taxi usage based on the date variables 'lpep_pickup_datetime' and 'lpep_dropoff_datetime'.
• Investigating relationships between payment type, trip characteristics, and tip behavior.

Strengths

• Data originates from the official New York City Taxi and Limousine Commission (TLC) trip records.
• Dataset is part of a known tabular data benchmark, suggesting a standardized transformation.
• Focus on credit card trips ensures the target variable 'tip_amount' is present for most records.

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.
• Data is limited to a single month (December 2016) and a specific taxi service type (green line).

Provenance

Source

New York City Taxi and Limousine Commission (TLC)

Collection Method

Public trip record data downloaded and transformed for a benchmark.

Time Range

December 2016

Freshness

Data is from December 2016; last update date for the dataset listing is unknown.

Geography

New York City