---
language:
- ja
license: apache-2.0
task_categories:
- text-scoring
- multimodal
tags:
- humor
- japanese
- multimodal
- comedy
pretty_name: Japanese Multimodal Humor Evaluation Dataset
size_categories:
- 10K<n<100K
---

# Japanese Multimodal Humor Evaluation Dataset

This dataset combines two Japanese humor datasets for evaluating the funniness of responses to prompts (odai).

## Dataset Description

This dataset merges:
- **bokete dataset**: Image prompts with text responses
- **keitai dataset**: Text prompts with text responses

All scores are normalized to a 0-4 scale for consistency.

## Dataset Structure

### Data Fields

- `odai_id`: Unique identifier for the prompt
- `odai_type`: Type of prompt ('image' or 'text')
- `odai`: The prompt content (image reference for bokete, text for keitai)
- `response`: The humorous response text
- `score`: Normalized humor score (0-4 scale)
- `original_score`: Original score from the source dataset
- `original_dataset`: Source dataset ('bokete' or 'keitai')
- `split`: Original data split
- `user_name`: Responder name (keitai only)
- `award`: Award received (keitai only)

### Data Splits

The dataset is split into train/validation/test sets with an 80/10/10 ratio.

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("iammytoo/japanese-humor-evaluation")

# Access different splits
train_data = dataset['train']
val_data = dataset['validation']
test_data = dataset['test']

# Example item
print(train_data[0])
```

## Source Data

- bokete dataset: https://huggingface.co/datasets/YANS-official/ogiri-bokete
- keitai dataset: https://huggingface.co/datasets/YANS-official/ogiri-keitai

## Citation

If you use this dataset, please cite the original datasets:

```bibtex
@misc{japanese-humor-evaluation,
  title={Japanese Multimodal Humor Evaluation Dataset},
  author={iammytoo},
  year={2024},
  publisher={HuggingFace}
}
```

## License

This dataset is released under the Apache 2.0 license, following the original datasets' licensing.