NYC Green Taxi Trip Records for December 2016, Transformed for Classification Benchmark

December 2016 trip records for New York City green taxis, provided by the NYC Taxi and Limousine Commission. The dataset was transformed for a tabular data benchmark, focusing on predicting tip amounts from credit card trips. It includes numeric features derived from datetime strings and location IDs, with certain financial columns removed to adjust feature importance.

Use Cases

• Benchmarking classification algorithms based on the 'tip_amount' target variable.
• Analyzing spatial trip patterns based on the 'PULocationID' and 'DOLocationID' features.
• Engineering time-based features from the 'lpep_pickup_datetime' and 'lpep_dropoff_datetime' columns.
• Studying taxi trip economics and passenger behavior for credit card payments in New York City.

Strengths

• Data originates from the official NYC Taxi and Limousine Commission, a primary source for trip records.
• Dataset is part of a published tabular data benchmark, suggesting a defined preprocessing and evaluation context.
• Focus on a single payment type (credit card) and month (December 2016) provides a controlled subset for analysis.

Limitations

• Row count and file size are unknown, which may limit suitability assessment for large-scale projects.
• Column-level documentation is absent; field semantics must be inferred from the linked external data dictionary.
• Data may reflect geographic and temporal bias inherent to a single city and a specific holiday season month.

Provenance

Source

New York City Taxi and Limousine Commission (TLC)

Collection Method

Original trip record data was downloaded on 03.11.2018 and subsequently transformed for a benchmark.

Time Range

December 2016

Geography

New York City, USA