license:mit arxiv:2307.02269 region:us
---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: label
    dtype: string
  - name: src
    dtype: string
  - name: cat
    dtype: string
  - name: exp
    dtype: string
  - name: ent_type
    dtype: string
  - name: prem_num
    dtype: int64
  - name: premises
    dtype: string
  - name: hypothesis
    dtype: string
  - name: subs
    struct:
    - name: NP0
      dtype: string
    - name: NP1
      dtype: string
    - name: NP2
      dtype: string
    - name: NP3
      dtype: string
    - name: NP4
      dtype: string
    - name: _at_least
      dtype: string
    - name: immediately_r_01
      dtype: string
  splits:
  - name: train
    num_bytes: 7276049
    num_examples: 32000
  download_size: 1027566
  dataset_size: 7276049
license: mit
---
# Dataset Card for "SpaceNLI"

https://github.com/kovvalsky/SpaceNLI/tree/main

```
@misc{abzianidze2023spacenli,
      title={SpaceNLI: Evaluating the Consistency of Predicting Inferences in Space}, 
      author={Lasha Abzianidze and Joost Zwarts and Yoad Winter},
      year={2023},
      eprint={2307.02269},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```