--- license: mit --- ## Dataset Description We have three files in the dataset (`k` is the number of maximum hops required to answer the question in the dataset): - `train.json`: The "TrainVersion" is utilised in the baseline models presented in our paper. We use k=1,2,3,4,5 for training without noise. - `valid.json`: The "TrainVersion" is utilised in the baseline models presented in our paper. We use k=1,2,3,4,5 for validation without noise. - `test.json`: The "TrainVersion" is utilised in the baseline models presented in our paper. We use k=1,2,3,4,5,6,7,8,9,10 for testing with noise. ## Dataset Feature In StepGame dataset, we have 4 features: - story: A list of strings that describe the spatial relations between the agents. - question: A string that asks a question about the spatial relations between two agents. - label: A string that describes the spatial relation between the agents. - k_hop: A string that describes the number of hops required to answer the question. ## Dataset Example Here is an example of a sample from the dataset: ``` { "story": [ "S is above J and to the left of J.", "J is diagonally above B to the right at a 45 degree.", "V is there and A is at the 2 position of a clock face." ], "question": "What is the relation of the agent B to the agent J?", "label": "lower-left", "k_hop": "1" } ``` ## Source: This dataset is sourced from the paper "StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts" by Zhengxiang Shi, Qiang Zhang, and Aldo Lipani. The dataset is available at https://github.com/ZhengxiangShi/StepGame. ## Reference: ``` @inproceedings{stepGame2022shi, title={StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts}, author={Shi, Zhengxiang and Zhang, Qiang and Lipani, Aldo}, volume={36}, url={https://ojs.aaai.org/index.php/AAAI/article/view/21383}, DOI={10.1609/aaai.v36i10.21383}, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, year={2022}, month={Jun.}, pages={11321-11329} } ```