---
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
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Languages](#languages)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)


## 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](https://github.com/UKPLab/acl2024-sparc-and-sparp).

### Dataset Curators

Curation is managed by our [data manager](https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4235) at UKP.

### Licensing Information

[CC-by-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)

### 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 = "",
}
```