article_name stringlengths 3 44 | article_cleared_name stringlengths 3 44 | html stringlengths 137k 1.34M | sources listlengths 15 290 |
|---|---|---|---|
Atomic Heart | Atomic Heart | "<!DOCTYPE html>\n<html class=\"client-nojs ruwiki-feature-language-in-header-disabled ruwiki-featur(...TRUNCATED) | [{"file":"source_1.txt","source_id":"cite_note-rbc-17","source_text":"В мае 2018-го Twitter в(...TRUNCATED) |
BTS | BTS | "<!DOCTYPE html>\n<html class=\"client-nojs ruwiki-feature-language-in-header-disabled ruwiki-featur(...TRUNCATED) | [{"file":"source_1.txt","source_id":"cite_note-soyuz2026plan-11","source_text":"Названа во(...TRUNCATED) |
C++ | C++ | "<!DOCTYPE html>\n<html class=\"client-nojs ruwiki-feature-language-in-header-disabled ruwiki-featur(...TRUNCATED) | [{"file":"source_1.txt","source_id":"cite_note-21","source_text":"Интервью со Страус(...TRUNCATED) |
COVID-19 | COVID-19 | "<!DOCTYPE html>\n<html class=\"client-nojs ruwiki-feature-language-in-header-disabled ruwiki-featur(...TRUNCATED) | [{"file":"source_1.txt","source_id":"cite_note-:79-1","source_text":"Наши авторы и ред(...TRUNCATED) |
ChatGPT | ChatGPT | "<!DOCTYPE html>\n<html class=\"client-nojs ruwiki-feature-language-in-header-disabled ruwiki-featur(...TRUNCATED) | [{"file":"source_1.txt","source_id":"cite_note-12","source_text":"The images pop up in Mophat Okinyi(...TRUNCATED) |
Dota 2 | Dota 2 | "<!DOCTYPE html>\n<html class=\"client-nojs ruwiki-feature-language-in-header-disabled ruwiki-featur(...TRUNCATED) | [{"file":"source_1.txt","source_id":"cite_note-15","source_text":"\n\n\n\nThe rumors and speculation(...TRUNCATED) |
F-35 | F-35 | "<!DOCTYPE html>\n<html class=\"client-nojs ruwiki-feature-language-in-header-disabled ruwiki-featur(...TRUNCATED) | [{"file":"source_1.txt","source_id":"cite_note-3","source_text":"31 июля 2015 года прик(...TRUNCATED) |
Google (компания) | Google (компания) | "<!DOCTYPE html>\n<html class=\"client-nojs ruwiki-feature-language-in-header-disabled ruwiki-featur(...TRUNCATED) | [{"file":"source_1.txt","source_id":"cite_note-7","source_text":"«ГУГЛ» («Google Inc.»), к(...TRUNCATED) |
Linkin Park | Linkin Park | "<!DOCTYPE html>\n<html class=\"client-nojs ruwiki-feature-language-in-header-disabled ruwiki-featur(...TRUNCATED) | [{"file":"source_1.txt","source_id":"cite_note-:5-21","source_text":"Вокалист Честер (...TRUNCATED) |
Minecraft | Minecraft | "<!DOCTYPE html>\n<html class=\"client-nojs ruwiki-feature-language-in-header-disabled ruwiki-featur(...TRUNCATED) | [{"file":"source_1.txt","source_id":"cite_note-52","source_text":"On May 17, 2009, 04:24:07 AM, Mark(...TRUNCATED) |
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RuWikiBench
RuWikiBench is a Russian benchmark dataset designed to evaluate analytical capabilities of large language models via Wikipedia-style article generation. This repository contains the data used by the RuWikiBench pipeline: extracted source texts and link mappings.
Data collection
The dataset is based on a manually selected subset of articles from the Russian internet encyclopedia "Ruwiki" (Рувики). The selection targets diverse topics with sufficient external references.
Collection procedure:
- Article selection: articles were manually chosen to cover diverse domains and to contain many external references.
- Source downloading: external sources referenced by each article were automatically downloaded (e.g., using
newspaper3k). - Chunking into snippets: source texts were split into fragments of approximately ~600 words to emulate retrieval-augmented generation conditions.
Below is the schematic breakdown of an article https://ru.ruwiki.ru/wiki/Python.
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