--- license: cc-by-4.0 task_categories: - question-answering language: - en tags: - multi-hop pretty_name: MoreHopQA size_categories: - 1K We propose a new multi-hop dataset, MoreHopQA, which shifts from extractive to generative answers. Our dataset is created by utilizing three existing multi-hop datasets: [HotpotQA](https://github.com/hotpotqa/hotpot), [2Wiki-MultihopQA](https://github.com/Alab-NII/2wikimultihop), and [MuSiQue](https://github.com/StonyBrookNLP/musique). Instead of relying solely on factual reasoning, we enhance the existing multi-hop questions by adding another layer of questioning.
## Dataset Details ### Dataset Description Our dataset is created through a semi-automated process, resulting in a dataset with 1118 samples that have undergone human verification. For each sample, we share our 6 evaluation cases, including the new question, the original question, all the necessary subquestions, and a composite question from the second entity to the final answer (case 3 above). We share both a version where each question was verified by a human, and a larger, solely automatically generated version ("unverified"). We recommend to primarily use the human-verified version. - **Curated by:** Aizawa Lab, National Institute of Informatics (NII), Tokyo, Japan - **Language(s) (NLP):** English -

License: The MorehopQA dataset is licensed under CC BY 4.0

### Dataset Sources - **Repository:** [github.com/Alab-NII/morehopqa](https://github.com/Alab-NII/morehopqa) - **Paper:** [More Information Needed] ## Uses We provide our dataset to the community and hope that other researchers find it a useful tool to analyze and improve the multi-hop reasoning capabilities of their models. MoreHopQA is designed to challenge systems with complex queries requiring synthesis from multiple sources, thereby advancing the field in understanding and generating nuanced, context-rich responses. Additionally, we aim for this dataset to spur further innovation in reasoning models, helping to bridge the gap between human-like understanding and AI capabilities. ## Dataset Structure We share both a version where each question was verified by a human, and a larger, solely automatically generated version ("unverified"). We recommend to primarily use the human-verified version, which is also the default option when loading the dataset. ## Dataset Creation ### Source Data Our dataset is created by utilizing three existing multi-hop datasets: [HotpotQA](https://github.com/hotpotqa/hotpot), [2Wiki-MultihopQA](https://github.com/Alab-NII/2wikimultihop), and [MuSiQue](https://github.com/StonyBrookNLP/musique) ## Citation If you find this dataset helpful, please consider citing our paper **BibTeX:** [More Information Needed]