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hltcoe / megawika

Unverified HuggingFace

MegaWika is a multi- and crosslingual text dataset containing 30 million Wikipedia passages with their scraped and cleaned web citations. The passages span 50 Wikipedias in 50 languages, and the articles in which the passages were originally embedded are included for convenience. Where a Wikipedia passage is in a non-English language, an automated English translation is provided. Furthermore, nearly 130 million English question/answer pairs were extracted from the passages, and FrameNet events occurring in the passages are detected using the LOME FrameNet parser.

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Unverified Model

This model has not been PQC-verified. File integrity cannot be guaranteed against quantum threats.

README.md

megawika

MegaWika is a multi- and crosslingual text dataset containing 30 million Wikipedia passages with their scraped and cleaned web citations. The passages span 50 Wikipedias in 50 languages, and the articles in which the passages were originally embedded are included for convenience. Where a Wikipedia passage is in a non-English language, an automated English translation is provided. Furthermore, nearly 130 million English question/answer pairs were extracted from the passages, and FrameNet events occurring in the passages are detected using the LOME FrameNet parser.

Intended Uses

This model is registered on the QuantaMrkt quantum-safe registry. This model has not yet been PQC-verified.

Quick Start

# Install the CLI
pip install quantumshield

# Pull the model
quantumshield pull hltcoe/megawika

# Verify file integrity
quantumshield verify hltcoe/megawika

About

MegaWika is a multi- and crosslingual text dataset containing 30 million Wikipedia passages with their scraped and cleaned web citations. The passages span 50 Wikipedias in 50 languages, and the articles in which the passages were originally embedded are included for convenience. Where a Wikipedia passage is in a non-English language, an automated English translation is provided. Furthermore, nearly 130 million English question/answer pairs were extracted from the passages, and FrameNet events occurring in the passages are detected using the LOME FrameNet parser.

Created 2026-09-08
Downloads 133,502
Likes 42

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quantumshield pull hltcoe/megawika

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quantumshield verify hltcoe/megawika

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