mlsanityData to 7 Oct 2026

StoryDB: Broad Multi-language Narrative Dataset

arXiv 2109.14396 ↗First posted 29 Sep 2021cs.CLcited by 5

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Abstract (arXiv)

This paper presents StoryDB - a broad multi-language dataset of narratives. StoryDB is a corpus of texts that includes stories in 42 different languages. Every language includes 500+ stories. Some of the languages include more than 20 000 stories. Every story is indexed across languages and labeled with tags such as a genre or a topic. The corpus shows rich topical and language variation and can serve as a resource for the study of the role of narrative in natural language processing across various languages including low resource ones. We also demonstrate how the dataset could be used to benchmark three modern multilanguage models, namely, mDistillBERT, mBERT, and XLM-RoBERTa.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 19 of its 30 references that are in the map. First posted on arXiv 29 Sep 2021.

Builds on

19 of 30 references.

References · 19

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,243
  3. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  4. 2014Neural Turing Machinescited by 630
  5. 2016A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Storiescited by 413
  6. 2014Memory Networkscited by 354
  7. 2019Strategies for Structuring Story Generationcited by 124
  8. 2020PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Trackingcited by 104
  9. 2019Star-Transformercited by 94
  10. 2020Memory Transformercited by 74
  11. 2018A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generationcited by 42
  12. 2019Story Realization: Expanding Plot Events into Sentencescited by 35
7 more
  1. 2019MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participantscited by 20
  2. 2020Cue Me In: Content-Inducing Approaches to Interactive Story Generationcited by 16
  3. 2018MPST: A Corpus of Movie Plot Synopses with Tagscited by 11
  4. 2017InScript: Narrative texts annotated with script informationcited by 9
  5. 2020Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativitycited by 8
  6. 2021DYPLODOC: Dynamic Plots for Document Classificationcited by 4
  7. 2019Detecting Everyday Scenarios in Narrative Textscited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 0; 2024: 1; 2025: 1; 2026: 2.

5 papers.

  1. 2025PerCul: A Story-Driven Cultural Evaluation of LLMs in Persiancited by 8
  2. 2022What is Wrong with Language Models that Can Not Tell a Story?cited by 4
  3. 2024Multilingual Synopses of Movie Narratives: A Dataset for Vision-Language Story Understandingcited by 2
  4. 2026On the Importance and Evaluation of Narrativity in Natural Language AI Explanationscited by 0
  5. 2026FineWeb-CLaR: Culture, Language, and Region Annotations for Benchmark-Aligned Corpus Auditingcited by 0