---
license: cc-by-nc-nd-3.0
task_categories:
- question-answering
language:
- de
---

This is the dataset from GiCCS: A German in-Context Conversational Similarity Benchmark paper: 
https://aclanthology.org/2022.gem-1.30/

Please cite the following paper:
Shima Asaadi, Zahra Kolagar, Alina Liebel, and Alessandra Zarcone. 2022. GiCCS: A German in-Context Conversational Similarity Benchmark. In Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM), pages 351–362, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.