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sparp / README.md
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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

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

CC-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 = "",
}