SpaRTUN / README.md
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metadata
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: dev
        path: data/dev-*
      - split: test
        path: data/test-*
dataset_info:
  features:
    - name: story
      dtype: string
    - name: question
      dtype: string
    - name: q_type
      dtype: string
    - name: answer
      sequence: string
    - name: candidate_answers
      sequence: string
  splits:
    - name: train
      num_bytes: 22901745
      num_examples: 37095
    - name: dev
      num_bytes: 3331642
      num_examples: 5600
    - name: test
      num_bytes: 3371071
      num_examples: 5551
  download_size: 2424674
  dataset_size: 29604458

Dataset Card for "SpaRTUN"

https://github.com/HLR/SpaRTUN

@inproceedings{mirzaee-kordjamshidi-2022-transfer,
    title = "Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning",
    author = "Mirzaee, Roshanak  and
      Kordjamshidi, Parisa",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.emnlp-main.413",
    pages = "6148--6165",
    abstract = "",
}