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ArthT/open-data-notes

Open Data Notes: synthetic city-service tables Every value in this dataset is synthetic. The tables describe a fictional city. No real city, place, survey, organisation or person is described, and the numbers must not be used as facts about anywhere. They are made for teaching: data cleaning, joins, grouping and simple charts. table rows columns bus_stop_accessibility_2025.csv 1,240 stop id, name, district, x/y in metres, shelter, bench, step-free access, tactile… See the full description on the dataset page: https://huggingface.co/datasets/ArthT/open-data-notes.

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Open Data Notes: synthetic city-service tables

Every value in this dataset is synthetic. The tables describe a fictional city. No real city, place, survey, organisation or person is described, and the numbers must not be used as facts about anywhere. They are made for teaching: data cleaning, joins, grouping and simple charts.

table	rows	columns
`bus_stop_accessibility_2025.csv`	1,240	stop id, name, district, x/y in metres, shelter, bench, step-free access, tactile paving, audio announcements, survey date
`library_opening_hours_2026.csv`	38	branch id, name, district, opening hours for each day of the week
`street_tree_inventory_sample_2024.csv`	5,000	tree id, species (common and Latin), district, street, x/y in metres, year planted, trunk diameter, height, condition

Coordinates are metres on a local grid, not latitude and longitude. Species names are real tree species; everything about the trees is generated.

How it was made

generate.py builds all three files from a fixed seed with the Python standard library only. Running python generate.py reproduces data/ byte for byte.

Companion site

The same tables are described at https://www.arthsingh.com/open-data. That site is part of a research project on automated web agents: it records visits (time, path, request headers, a keyed hash of the IP address), as its privacy page explains. It does not set cookies or store full IP addresses.

Licence

CC0 1.0. No attribution required.