mlsanityData to 7 Oct 2026

Liputan6: A Large-scale Indonesian Dataset for Text Summarization

arXiv 2011.00679 ↗First posted 2 Nov 2020cs.CLcited by 14

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Abstract (arXiv)

In this paper, we introduce a large-scale Indonesian summarization dataset. We harvest articles from Liputan6.com, an online news portal, and obtain 215,827 document-summary pairs. We leverage pre-trained language models to develop benchmark extractive and abstractive summarization methods over the dataset with multilingual and monolingual BERT-based models. We include a thorough error analysis by examining machine-generated summaries that have low ROUGE scores, and expose both issues with ROUGE it-self, as well as with extractive and abstractive summarization models.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Nov 2020.

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Citing papers per year: 2021: 4; 2022: 3; 2023: 1; 2024: 3; 2025: 3.

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  1. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 101
  2. 2022One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesiacited by 65
  3. 2021IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generationcited by 57
  4. 2023Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLUcited by 53
  5. 2022NusaCrowd: Open Source Initiative for Indonesian NLP Resourcescited by 38
  6. 2021IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initializationcited by 25
  7. 2021Evaluating the Efficacy of Summarization Evaluation across Languagescited by 14
  8. 2021BEAMetrics: A Benchmark for Language Generation Evaluation Evaluationcited by 6
  9. 2022LR-Sum: Summarization for Less-Resourced Languagescited by 5
  10. 2024The State and Fate of Summarization Datasets: A Surveycited by 3
  11. 2024Investigating Text Shortening Strategy in BERT: Truncation vs Summarizationcited by 2
  12. 2025SEA-BED: How Do Embedding Models Represent Southeast Asian Languages?cited by 2
2 more
  1. 2025IndoPref: A Multi-Domain Pairwise Preference Dataset for Indonesiancited by 1
  2. 2025BOE-XSUM: Extreme Summarization in Clear Language of Spanish Legal Decrees and Notificationscited by 0