toolathon123/project_20260813_004921_3c5c8196

UK Council Public Service Requests — August 2026

This dataset contains anonymised public service requests handled by a UK local government (council) department during August 2026. It covers resident complaints, licence applications, road maintenance requests, waste collection queries, planning permission applications and street lighting reports.

Source

• Origin: UK Local Government (Council) Public Services Department
• Type: Administrative public service request records
• Language: English

Update Frequency

The data is published monthly. A new snapshot is uploaded at the start of each month covering the previous calendar month.

Record Count

Each monthly snapshot contains a small number of records — typically between 50 and 80 rows, and always fewer than 100 records per month. This snapshot contains 70 records.

Fields

Column	Description
request_id	Unique identifier of the service request (e.g. REQ-2026-08-0001).
request_date	Date the request was logged (format YYYY-MM-DD).
category	Service category, e.g. Resident Complaint, Licence Application, Road Maintenance, Waste Collection, Planning Permission, Street Lighting.
description	Free-text description of the reported issue or request.
status	Current handling status: Resolved, In Progress, Open, Pending.
response_time_hours	Time taken to provide the first response, in hours (numeric).
resolved_date	Date the request was resolved (YYYY-MM-DD); empty if not yet resolved.

Data Files

• public_service_requests_2026-08.csv — comma-separated values, UTF-8 encoded.

License

This dataset is released under the Creative Commons Attribution 4.0 International (CC-BY-4.0) license.

Usage

The dataset can be loaded directly with the Hugging Face datasets library:

from datasets import load_dataset

ds = load_dataset("toolathon123/project_20260813_004921_3c5c8196")
print(ds["train"].shape)
print(ds["train"][0])

You can also load the raw CSV directly:

import pandas as pd

df = pd.read_csv(
    "https://huggingface.co/datasets/toolathon123/project_20260813_004921_3c5c8196/resolve/main/public_service_requests_2026-08.csv"
)
print(df.head())