Datasets:
File size: 3,303 Bytes
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language:
- en
license: cc-by-4.0
task_categories:
- text-generation
tags:
- humor
- benchmark
- evaluation
pretty_name: Humor Transfer Bench (HTB)
size_categories:
- n<1K
dataset_info:
features:
- name: id
dtype: string
- name: domain
dtype: string
- name: prompt
dtype: string
config_name: default
splits:
- name: test
num_examples: 400
---
# Humor Transfer Bench (HTB)
**Full name:** Humor Transfer Bench
**Paper:** [HumorGen (Ajayi & Mitra, 2026)](https://arxiv.org/abs/2604.09629)
---
## What HTB is for
HTB is an **evaluation-only** set of **400 English input prompts** for testing **humor generation** in language models.
Each row gives you an **input prompt**. You pass it to your model with **your own** system/user template and decoding setup—HTB does not include or require a fixed generation instruction.
HTB is **not** for training. Use it to compare models on the same inputs across eight prompt categories.
---
## File: `htb_dataset.tsv`
| | |
|--|--|
| **Format** | TSV, UTF-8, tab-separated |
| **Rows** | 400 (+ header) |
| **Columns** | `id`, `domain`, `prompt` |
**`id` format:** `HTB_{A–H}_{001–050}` (e.g. `HTB_A_001`)
---
## Domains (as in the file)
50 prompts per domain. The **`domain`** column is the label stored in the dataset.
| ID letter | `domain` value | Example `prompt` |
|:---------:|----------------|------------------|
| **A** | Fun Facts | Apples float in water because they are 25 percent air. |
| **B** | Daily Life | My houseplant is judging my life choices. |
| **C** | Social Terms | Generational amnesia. |
| **D** | Object Voices | My calendar shrieked: You have no free time! |
| **E** | Fantasy Creatures | A genie grants a wish for more wishes. |
| **F** | Twisted Definitions | A game is a challenge you can accept. |
| **G** | Direct Prompts | Tell a joke about emojis. |
| **H** | News Headlines | Researchers find link between sleep quality and memory retention |
The HumorGen paper appendix discusses the design rationale for these eight categories in more detail.
---
## How to use
1. Load `htb_dataset.tsv`.
2. For each row, feed **`prompt`** to your model with whatever generation prompt / chat template you use.
3. Evaluate outputs with your chosen method (pairwise judging, human eval, etc.) and report your protocol.
The HumorGen paper reports one such setup (15 models, Llama-3.3-70B and Qwen-2.5-72B judges). That is **their** protocol, not a requirement of the benchmark.
---
## License
Domains **A–G:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) (HTB-authored prompts).
Domain **H (News Headlines):** Headlines sourced from publicly available BBC News text, with basic content filtering applied. Used as evaluation prompts only.
---
## Citation
If you use HTB, cite the HumorGen paper:
```bibtex
@misc{ajayi2026humorgen,
title = {HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation},
author = {Ajayi, Edward and Mitra, Prasenjit},
year = {2026},
eprint = {2604.09629},
archivePrefix= {arXiv},
primaryClass = {cs.CL},
url = {https://arxiv.org/abs/2604.09629}
}
```
---
## Authors
Edward Ajayi, Prasenjit Mitra — Carnegie Mellon University Africa
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