metadata
language:
- en
license: cc-by-sa-4.0
dataset_info:
features:
- name: context
dtype: string
- name: question
dtype: string
- name: targets
sequence: string
- name: target_choices
sequence: string
- name: target_scores
sequence: int32
- name: reasoning
dtype: string
- name: source_data
dtype: string
- name: context_id
dtype: int32
- name: question_id
dtype: int32
- name: symbolic_context
dtype: string
- name: symbolic_entity_map
dtype: string
- name: symbolic_question
sequence: string
- name: num_context_entities
dtype: int32
- name: num_question_entities
dtype: int32
- name: question_type
dtype: string
- name: reasoning_types
sequence: string
- name: spatial_types
sequence: string
- name: commonsense_question
dtype: string
- name: canary
dtype: string
- name: comments
sequence: string
configs:
- config_name: SpaRP-PS1 (SpaRTUN)
version: 0.1.0
default: true
data_files:
- split: train
path: SpaRP-PS1 (SpaRTUN)/train.json
- split: validation
path: SpaRP-PS1 (SpaRTUN)/val.json
- split: test
path: SpaRP-PS1 (SpaRTUN)/test.json
- config_name: SpaRP-PS2 (StepGame)
version: 0.1.0
data_files:
- split: train
path: SpaRP (StepGame)/PS2/train.json
- split: validation
path: SpaRP (StepGame)/PS2/val.json
- split: test
path: SpaRP (StepGame)/PS2/test.json
Dataset Card for Spatial Reasoning Path (SpaRP)
Table of Contents
Dataset Description
- Repository: https://github.com/UKPLab/acl2024-sparc-and-sparp
- Paper: https://arxiv.org/abs/
- Point of Contact: Md Imbesat Hassan Rizvi (http://www.ukp.tu-darmstadt.de/)
Dataset Summary
This dataset is a consolidation of SpaRTUN and StepGame datasets with an extension of additional spatial characterization and reasoning path generation. The methodology is explained in our ACL 2024 paper - SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models.
Languages
English
Additional Information
You can download the data via:
from datasets import load_dataset
dataset = load_dataset("UKPLab/sparp") # default config is "SpaRP-PS1 (SpaRTUN)"
dataset = load_dataset("UKPLab/sparp", "SpaRP-PS2 (StepGame)") # use the "SpaRP-PS2 (StepGame)" tag for the StepGame dataset
Please find more information about the code and how the data was collected on GitHub.
Dataset Curators
Curation is managed by our data manager at UKP.
Licensing Information
Citation Information
Please cite this data using:
@inproceedings{rizvi-2024-sparc,
title={SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models},
author={Rizvi, Md Imbesat Hassan Rizvi and Zhu, Xiaodan and Gurevych, Iryna},
editor = "",
booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "",
doi = "",
pages = "",
}