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language:
- de
license:
- cc-by-nc-4.0
task_categories:
- question-answering
tags:
- rag
- german
- the-dark-eye
- aventurien
- benchmark
- monolingual
- knowledge-base
pretty_name: Reasoning-Language Alignment QA Benchmark
size_categories:
- 10<n<100
- 1k<n<10k
format: json
modality:
- text
Reasoning-Language Alignment QA Benchmark
A fully monolingual German retrieval-augmented question-answering (RAG) benchmark over the fictional world of the tabletop role-playing game The Dark Eye (Das Schwarze Auge), set on the continent of Aventurien. The world is richly documented in German yet far too niche for large language models to answer from memory, so correct answers require reading and integrating retrieved evidence, making it a clean testbed for reasoning over retrieved context.
This dataset accompanies the paper:
Investigating the Role of Reasoning-Language Alignment in Monolingual Retrieval-Augmented Generation — Oliver Hauck, Mario Sanz-Guerrero, Katharina von der Wense (2026)
- Paper: https://huggingface.co/papers/2610.03136
- Code (testbed + dataset creation pipeline): https://github.com/soliver1/reason-in-the-language-you-retrieve
⚖️ Copyright & what is (not) included
- This benchmark covers the fictional world of The Dark Eye (© Ulisses Spiele). It is not an official Ulisses Spiele product and is published solely for research and reproducibility of the paper above.
- The raw source text of the region-description books is not included, as it is copyrighted. We publish only the question, a reference answer, and derived metadata.
- The reference answers are paraphrases written by the authors; in
qaxthe gold key-facts are highlighted with*…*. - If you own the books, the full pipeline (raw text, chunking, and RAG context) can be regenerated with the code in the linked repository.
Configurations (subsets)
| Config | Description | Rows | Book(s) |
|---|---|---|---|
qa2 |
Curated QA set derived from book G01 (In den Dschungeln Meridianas), with quality rating + human approval flags | 1,931 | G01 |
qax |
More complex, human-authored, multi-faceted questions | 30 | G01, G05, G08 |
qa2 fields
| field | type | description |
|---|---|---|
id |
str | Stable unique id (qa2-<chapter>-<n>) |
book |
str | Book code, e.g. G01 |
chapter |
str | Source chapter code, e.g. G01-012 |
question |
str | German question |
answer |
str | Reference answer (author paraphrase of the gold answer) |
rating |
int | LLM self-rating of the question's quality (1–5) |
reason |
str | LLM rationale for the rating |
user_rating |
bool | Human-approval flag — true marks the final benchmark subset |
qax fields
| field | type | description |
|---|---|---|
id |
str | Stable unique id (qax-<book>-<n>) |
book |
str | Book code, e.g. G01 |
question |
str | Complex German question |
answer |
str | Reference answer; gold key-facts highlighted with *…* |
Reproducing the paper's benchmark
The experiments use the human-approved subset of the curated set (user_rating == true), together with the complex set:
from datasets import load_dataset
curated = load_dataset("soliver1/reasoning-language-alignment", "qa2", split="test")
benchmark = curated.filter(lambda x: x["user_rating"]) # 585 approved questions
complex_set = load_dataset("soliver1/reasoning-language-alignment", "qax", split="test") # 30 complex questions
Usage
from datasets import load_dataset
qa2 = load_dataset("soliver1/reasoning-language-alignment", "qa2", split="test")
print(qa2[0])
qax = load_dataset("soliver1/reasoning-language-alignment", "qax", split="test")
print(qax[0])
Citation
If you use this dataset, please cite the paper:
@misc{hauck2026reasoninglanguage,
title = {Investigating the Role of Reasoning-Language Alignment in Monolingual Retrieval-Augmented Generation},
author = {Hauck, Oliver and Sanz-Guerrero, Mario and von der Wense, Katharina},
year = {2026},
eprint = {2610.03136},
archivePrefix = {arXiv},
url = {https://huggingface.co/papers/2610.03136}
}
Trademark note
ⓘ DAS SCHWARZE AUGE, AVENTURIEN, DERE und THE DARK EYE sind eingetragene Marken der Ulisses Spiele GmbH. Ohne vorherige schriftliche Genehmigung der Ulisses Medien und Spiel Distribution GmbH ist eine Verwendung der genannten Markenzeichen nicht gestattet.
License
cc-by-nc-4.0 (Creative Commons Attribution-NonCommercial 4.0).
Derived from the world of The Dark Eye; not affiliated with or endorsed by Ulisses Spiele.