size_categories:10M<n<100M format:parquet modality:tabular modality:text library:datasets library:dask library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: key
    dtype: string
  - name: pickup_datetime
    dtype: string
  - name: pickup_longitude
    dtype: float64
  - name: pickup_latitude
    dtype: float64
  - name: dropoff_longitude
    dtype: float64
  - name: dropoff_latitude
    dtype: float64
  - name: passenger_count
    dtype: int64
  - name: fare_amount
    dtype: float64
  splits:
  - name: test
    num_bytes: 977751
    num_examples: 9914
  download_size: 521219
  dataset_size: 977751
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
  - split: train
    path: data/train-*
---

# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->

This dataset contains ~13.8 million instances of taxi rides.

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

### Dataset Sources [optional]

[New York City Taxi Fare Prediction](https://www.kaggle.com/competitions/new-york-city-taxi-fare-prediction/data)

