| 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. | |