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New Korean News Summarization Dataset Released on Hugging Face Hub

By PulseAugur Editorial · [1 sources] ·

Researchers have released Naver-News-KO, a Korean news summarization dataset containing 27,400 document-summary pairs. Collected from Naver News across Economy and IT/Science categories, the dataset is available on the Hugging Face Hub and has seen significant monthly downloads. The dataset includes baseline performance metrics for models like KoBART and Gemma-2B-ko fine-tuned with LoRA, aiming to serve as a citable resource for researchers rather than a new benchmark. AI

IMPACT Provides a new resource for fine-tuning Korean summarization models, potentially improving performance on Korean news text.

RANK_REASON The cluster describes the release of a new academic dataset and associated technical report. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Korean News Summarization Dataset Released on Hugging Face Hub

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The cluster describes the release of a new academic dataset and associated technical report. [lever_c_demoted from research: ic=1 ai=1.0]
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46 days old
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Daekeun Kim ·

    Naver-News-KO: A Korean News Summarization Dataset for Open-Source Fine-Tuning of Summarization Models

    arXiv:2607.20442v1 Announce Type: new Abstract: We release Naver-News-KO, a Korean news summarization dataset of 27,400 (document, summary) pairs collected from Naver News over a ten-day window in July 2022 across two categories (Economy and IT/Science; 77/23 split), with train/v…

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