metadata
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}
}