mlsanityData to 7 Oct 2026

Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons & Dragons

arXiv 2212.09080 ↗First posted 18 Dec 2022cs.CL cs.LGcited by 5

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Abstract (arXiv)

This paper introduces the Forgotten Realms Wiki (FRW) data set and domain specific natural language generation using FRW along with related analyses. Forgotten Realms is the de-facto default setting of the popular open ended tabletop fantasy role playing game, Dungeons & Dragons. The data set was extracted from the Forgotten Realms Fandom wiki consisting of more than over 45,200 articles. The FRW data set is constituted of 11 sub-data sets in a number of formats: raw plain text, plain text annotated by article title, directed link graphs, wiki info-boxes annotated by the wiki article title, Poincar'e embedding of first link graph, multiple Word2Vec and Doc2Vec models of the corpus. This is the first data set of this size for the Dungeons & Dragons domain. We then present a pairwise similarity comparison benchmark which utilizes similarity measures. In addition, we perform D&D domain specific natural language generation using the corpus and evaluate the named entity classification with respect to the lore of Forgotten Realms.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 20 of its 61 references that are in the map. First posted on arXiv 18 Dec 2022.

Builds on

20 of 61 references.

References · 20

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
  3. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
  4. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,115
  5. 2020The Pile: An 800GB Dataset of Diverse Text for Language Modelingcited by 2,346
  6. 2022GPT-NeoX-20B: An Open-Source Autoregressive Language Modelcited by 711
  7. 2014Distributed Representations of Sentences and Documentscited by 677
  8. 2017Poincar'e Embeddings for Learning Hierarchical Representationscited by 674
  9. 2021WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learningcited by 285
  10. 2021Quality at a Glance: An Audit of Web-Crawled Multilingual Datasetscited by 241
  11. 2017Style Transfer in Text: Exploration and Evaluationcited by 145
  12. 2022A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Modelscited by 128
8 more
  1. 2020A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portalcited by 72
  2. 2017Table-to-text Generation by Structure-aware Seq2seq Learningcited by 54
  3. 2021SciXGen: A Scientific Paper Dataset for Context-Aware Text Generationcited by 22
  4. 2018Legal Document Retrieval using Document Vector Embeddings and Deep Learningcited by 13
  5. 2017Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similaritycited by 8
  6. 2021DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarizationcited by 5
  7. 2020Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Textscited by 4
  8. 2016A matter of words: NLP for quality evaluation of Wikipedia medical articlescited by 2

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Cited by year (2026 to 7 Oct)

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

5 papers.

  1. 2023Interactive Natural Language Processingcited by 31
  2. 2023Comparative Analysis of Named Entity Recognition in the Dungeons and Dragons Domaincited by 1
  3. 2024Fine Tuning Named Entity Extraction Models for the Fantasy Domaincited by 0
  4. 2024SHADE: Semantic Hypernym Annotator for Domain-specific Entities -- DnD Domain Use Casecited by 0
  5. 2026Shifting from Discrete to Continuous Reference Data: QSM-Derived Horizontal Tree Biomass Distribution for Deep Learning Biomass Estimationcited by 0