med-russia

Plain-text corpus of Russian municipal and regional government documents from the Ministry of Economic Development raw archive: municipal programs, resolutions, socio-economic development forecasts, strategies, program passports. Text was extracted from the original .doc / .docx / .rtf files.

Coverage

• 92 top-level territories (Russian regions, federal districts, "Russian Federation")
• 6,432 municipal folders; every document carries a 23-digit OKTMO code
• Source formats: docx 47,334 · doc 30,584 · rtf 1,447 · odt 2
• year parsed from source filenames for 31,473 rows; the bulk is 2013–2019 (peak 2018: 8,730). Values before ~2010 are mostly document numbers, not dates

Columns

column	type	description
id	string	sha1 of source path, 16 hex chars, unique
region	string	top-level folder: region / federal district
municipality	string	second-level folder: municipal formation
oktmo	string	OKTMO code from the source filename
seq	int32	file index inside the municipal folder
source_filename	string	original .doc/.docx name (from name_dict.txt)
title	string	source filename without OKTMO prefix and extension
source_ext	string	original extension: doc / docx / rtf / odt
year	int16	first 18xx–20xx number in title, nullable
text	string	full document text, UTF-8, ≥100 characters
source_path	string	path inside MED_raw_txt, /-separated

Download

hf download rustemgareev/med-russia --repo-type dataset

from datasets import load_dataset

dataset = load_dataset("rustemgareev/med-russia", split="train")

# Print the first example
print(dataset[0])

License

The dataset is distributed under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.