README.md

metadata

license: cc-by-4.0
language:
  - de
tags:
  - Coreference Resolution
  - NER
pretty_name: GerFuN

GerFuN

Dataset Summary

This repository provides a standardized and reformatted version of the original GerFuN coreference resolution dataset.

The purpose of this formatting is to provide a unified document structure across multiple coreference datasets in order to simplify:

• cross-dataset comparison,
• multilingual experimentation,
• benchmarking of coreference resolution systems,
• interoperability between NLP pipelines,
• and reproducible evaluation settings.

This repository does not introduce new annotations or modify the original coreference annotations. It only restructures the original dataset into a shared schema used across our benchmarking framework.

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Original Dataset

This formatted version is derived from the dataset introduced in:

Agnes Hilger and Anton Ehrmanntraut. 2026. Coreference Resolution for Full German Novels using Large Language Models.

Original Repository

https://github.com/aehrm/llm_literary_coref

Citation

If you use this dataset, please cite the original work:

@misc{Hilger_Ehrmanntraut_2026,
    title={Coreference Resolution for Full German Novels using Large Language Models},
    author={Hilger, Agnes and Ehrmanntraut, Anton},
    volume={5},
    url={https://tuprints.ulb.tu-darmstadt.de/handle/tuda/15404},
    DOI={https://doi.org/10.26083/tuda-7983},
    year={2026}
}

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Statistics

Statistic	Value
Language	de
Documents	5
Sentences	21,266
Tokens	463,009
Characters	2,575,101
Mentions	61,307
Entities	8,135

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Dataset Structure

Each document contains:

• file_name
• language
• text
• stanza_tokens
• mentions
• sentence_spans

Mentions

Each mention contains the following fields and additional fields per-dataset:

• onset
• offset
• COREF

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Example