This dataset requires a paid license. Please purchase access at the link below and provide your Hugging Face username. Once purchased, submit an access request on this page. Access is granted manually.

World Cup 2026 Transit Dataset

This dataset contains mobility and transportation options related to FIFA World Cup 2026 host venues across the United States, Canada, and Mexico.

Each row represents a transportation or access option associated with a specific host city, host market, or venue. Covered mobility options may include public transit, rail, bus routes, shuttles, airport connections, park-and-ride options, walking access, rideshare-related notes, parking information, and other venue access details.

The dataset includes venue-level location fields such as street address, latitude, longitude, physical venue city, state or province, and postal code. These fields are intended to make the dataset easier to map, filter, geocode, analyze geographically, or combine with other venue and transportation datasets.

The dataset distinguishes between the broader FIFA World Cup 2026 host city or host market and the actual physical municipality of the venue. For example, a venue may be associated with a host label such as New York/New Jersey while physically located in a nearby municipality such as East Rutherford, New Jersey. Because of this, host_city and venue_city should not be treated as duplicate fields.

Rows may also include cost information, service frequency, reservation requirements, accessibility mentions, match-day-only indicators, official-source flags, source metadata, raw source excerpts, and data completeness scoring. Some fields may be blank when official or reliable source information was not available.

Access Requirements (Paid Dataset)

This dataset is behind manual gated access.

To obtain access:

Purchase the dataset here:
https://masonmarker.gumroad.com/l/world-cup-2026-transit
Provide your Hugging Face username at checkout.
Return to this Hugging Face page and click:
"Request Access"
Your access will be approved within 1-12 hours.

Once approved, you can:

download the full dataset
load it with datasets.load_dataset()
use it under the Custom Paid License terms below

Dataset Structure

Total rows: 44

Total columns: 39

Splits

data: 44 rows

Data Files

data: data/data.parquet

Data Dictionary

The table below describes the columns included in this dataset.

column	pandas_dtype	dataset_type	description
mobility_option_id	string	string	Text column. Unique identifier for each mobility or transportation option row.
host_city	object	string	Text column. FIFA World Cup 2026 host city or host market associated with the venue. This may be a broader tournament label rather than the exact physical municipality of the stadium.
country	object	string	Text column. Country where the host city or venue is located.
match_count	int64	integer	Whole-number numeric column. Number of World Cup matches scheduled for the associated host city or venue.
venue_name	object	string	Text column. Name of the stadium or venue associated with the mobility option.
venue_address	object	string	Text column. Street address of the stadium or venue.
venue_latitude	float64	float	Decimal numeric column. Approximate latitude coordinate of the stadium or venue.
venue_longitude	float64	float	Decimal numeric column. Approximate longitude coordinate of the stadium or venue.
venue_city	object	string	Text column. Actual city or municipality where the stadium or venue is physically located. This may differ from the broader host city label.
venue_state_or_province	object	string	Text column. State, province, territory, or federal entity where the stadium or venue is located.
venue_postal_code	object	string	Text column. Postal code or ZIP code associated with the stadium or venue address.
option_category	object	string	Text column. Broad category of the mobility option, such as public transit, shuttle, rideshare, walking, parking, or airport connection.
option_type	object	string	Text column. More specific type of transportation or mobility service.
option_name	object	string	Text column. Name of the transportation service, route, system, provider, or mobility option.
origin	object	string	Text column. Starting point, station, airport, park-and-ride lot, neighborhood, or general origin for the mobility option.
destination	object	string	Text column. Destination point for the mobility option, usually the venue, host city area, or nearby transit stop.
serves_venue	boolean	boolean	True/false column. Boolean flag indicating whether the mobility option directly serves or connects to the venue.
airport_connection	boolean	boolean	True/false column. Boolean flag indicating whether the option connects to or from an airport.
park_and_ride	boolean	boolean	True/false column. Boolean flag indicating whether the option involves park-and-ride service or facilities.
is_free	boolean	boolean	True/false column. Boolean flag indicating whether the option is described as free to use.
match_day_only	boolean	boolean	True/false column. Boolean flag indicating whether the option appears to operate only on match days or event days.
reservation_required	boolean	boolean	True/false column. Boolean flag indicating whether advance booking, reservation, ticketing, or registration is required.
accessibility_mentioned	boolean	boolean	True/false column. Boolean flag indicating whether accessibility, ADA access, step-free access, or similar accommodations are mentioned.
cost_min	float64	float	Decimal numeric column. Minimum stated cost for using the mobility option, when available.
cost_max	float64	float	Decimal numeric column. Maximum stated cost for using the mobility option, when available.
currency	object	string	Text column. Currency for the listed cost fields.
cost_type	object	string	Text column. Description of how the cost is applied, such as per ride, per day, per vehicle, or free.
restrictions	object	string	Text column. Known restrictions, eligibility rules, access limitations, or usage conditions.
notes	object	string	Text column. Additional notes, context, caveats, or interpretation about the mobility option.
source_title	object	string	Text column. Title or name of the source used to identify or support the mobility option.
source_url	object	string	Text column. Direct URL for the source, when available.
source_domain	object	string	Text column. Domain name of the source website.
source_type	object	string	Text column. Type of source, such as official host city page, transit agency page, venue page, news source, or aggregated reference.
source_confidence	object	string	Text column. Confidence rating for the source or extracted information.
is_official_source	bool	boolean	True/false column. Boolean flag indicating whether the source appears to be an official government, transit agency, venue, FIFA, or host city source.
aggregate_source_url	object	long text	Free-text column containing longer text values. URL of an aggregate or collection source used to support the row, when applicable.
raw_text_excerpt	object	string	Text column. Relevant excerpt or text snippet from the source material.
last_checked_at	datetime64[ns, UTC]	datetime	Date or timestamp column. Timestamp or date when the source information was last checked.
data_completeness_score	float64	float	Decimal numeric column. Score estimating how complete the row is based on populated fields and available source information.

Intended Use

This dataset is intended for research, experimentation, analysis, and model prototyping.

Loading the Dataset


import os
from datasets import load_dataset

HUGGINGFACE_API_KEY = os.environ.get("HUGGINGFACE_API_KEY")

dataset = load_dataset(
    "masonmarker/world-cup-2026-transit",
    token=HUGGINGFACE_API_KEY,
)

print(dataset)
print(dataset[list(dataset.keys())[0]][0])

# getting the DataFrame itself
# df = dataset[list(dataset.keys())[0]].to_pandas()

Marker, Mason. (2025). World Cup 2026 Transit Dataset. Hugging Face. https://huggingface.co/datasets/masonmarker/world-cup-2026-transit

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