HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation
Paper • 2604.09629 • Published
Datasets:
Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: ValueError
Message: Bad split: test. Available splits: ['train']
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 61, in get_rows
ds = load_dataset(
^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1705, in load_dataset
return builder_instance.as_streaming_dataset(split=split)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1117, in as_streaming_dataset
raise ValueError(f"Bad split: {split}. Available splits: {list(splits_generators)}")
ValueError: Bad split: test. Available splits: ['train']Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Humor Transfer Bench (HTB)
Full name: Humor Transfer Bench
Paper: HumorGen (Ajayi & Mitra, 2026)
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
- Load
htb_dataset.tsv. - For each row, feed
promptto your model with whatever generation prompt / chat template you use. - 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 (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:
@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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