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---
license: gpl
task_categories:
- text-classification
language:
- en
task_ids:
- natural-language-inference
tags:
- Logical-Reasoning
- Modal-Logic
- Reasoning
- Logics
- Logic
- nli
- natural language inference
- tom
- theory of mind
dataset_info:
  features:
  - name: premise
    dtype: string
  - name: smcdel_problem
    dtype: string
  - name: n_announcements
    dtype: int64
  - name: pbcheck
    dtype: string
  - name: hypothesis
    dtype: string
  - name: setup
    dtype: string
  - name: hypothesis_depth
    dtype: int64
  - name: n_agents
    dtype: int64
  - name: label
    dtype: int64
  - name: names
    sequence: string
  - name: index
    dtype: int64
  - name: s-l
    dtype: string
  - name: deberta_pred
    dtype: int64
  - name: deberta_confidence
    dtype: float64
  - name: difficulty
    dtype: float64
  splits:
  - name: train
    num_bytes: 8619563.842139175
    num_examples: 11174
  - name: validation
    num_bytes: 2873445.0789304124
    num_examples: 3725
  - name: test
    num_bytes: 2873445.0789304124
    num_examples: 3725
  download_size: 2991434
  dataset_size: 14366454.0
---
Mindgame dataset

```
@article{sileo2023mindgames,
  title={MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal Logic},
  author={Sileo, Damien and Lernould, Antoine},
  journal={arXiv preprint arXiv:2305.03353},
  year={2023}
}
```