MegaWika 2: A More Comprehensive Multilingual Collection of Articles and their Sources

Samuel Barham, Chandler May, Benjamin Van Durme
8/5/2025
cs.DLcs.CL

No confident code implementation found for this paper.

Abstract

We introduce MegaWika 2, a large, multilingual dataset of Wikipedia articles with their citations and scraped web sources; articles are represented in a rich data structure, and scraped source texts are stored inline with precise character offsets of their citations in the article text. MegaWika 2 is a major upgrade from the original MegaWika, spanning six times as many articles and twice as many fully scraped citations. Both MegaWika and MegaWika 2 support report generation research ; whereas MegaWika also focused on supporting question answering and retrieval applications, MegaWika 2 is designed to support fact checking and analyses across time and language.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

An Open Multilingual System for Scoring Readability of Wikipedia

80% match2024

WETBench: A Benchmark for Detecting Task-Specific Machine-Generated Text on Wikipedia

77% match2025

WIKIGENBENCH: Exploring Full-length Wikipedia Generation under Real-World Scenario

77% match1 repo132024

Factual Inconsistencies in Multilingual Wikipedia Tables

76% match2025

Language-Agnostic Modeling of Source Reliability on Wikipedia

76% match2024

Wiki-Quantities and Wiki-Measurements: Datasets of Quantities and their Measurement Context from Wikipedia

76% match2025

Cite this paper

@article{barham2025megawika,
  title  = {MegaWika 2: A More Comprehensive Multilingual Collection of Articles and their Sources},
  author = {Samuel Barham and Chandler May and Benjamin Van Durme},
  year   = {2025},
  eprint = {2508.03828},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2508.03828v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2508.03828.svg)](https://codeofpaper.com/paper/2508.03828)

Discussion