kawaii4mano/genz-slang-pairs-1k

---
license: cc
task_categories:
- text-generation
- text2text-generation
language:
- en
tags:
- slang
- style-transfer
- informal-language
- casual-dialogue
- gen-z
- colloquial-english
- paraphrase
- text-augmentation
- synthetic-data
- data-augmentation
- social-media-language
- chatbot-training
- conversational-data
- creative-writing
- nlp
- language-modeling
- paired-data
- slang-translation
pretty_name: Gen Z Slang Pairs Corpus (1 K)
size_categories:
- 1K<n<10K
---

# Gen Z Slang Pairs Corpus (1 K)

The **Gen Z Slang Pairs Corpus (1 K)** contains **1,000** everyday English sentences alongside their Gen Z–style slang rewrites. This dataset is designed for **style-transfer**, **informal-language generation**, and **paraphrasing** research. Use it to train models that transform formal or neutral sentences into expressive, youth‑oriented slang.

## Dataset Details

*This dataset was generated programmatically using OpenAI GPT-4.1 Nano.*

* **Language:** English
* **Format:** CSV file
* **Filename:** `genz_dataset.csv`
* **Columns:**

* `normal`: Original everyday English sentence
* `gen_z`: Corresponding slang rewrite in Gen Z style

## Repository Structure

```
genz-slang-pairs-1k/
├── README.md # This dataset card
├── genz_dataset.csv # 1,000 rows, columns: normal, gen_z
└── license.txt # Apache 2.0 license text
```

## Usage Example

```python
from datasets import load_dataset

ds = load_dataset("Programmer-RD-AI/genz-slang-pairs-1k")
print(ds["train"][0])
# {
# "normal": "How’s it going?",
# "gen_z": "Yo, what’s poppin’?"
# }
```

## Tasks & Evaluation

* **Text Generation:** Evaluate with BLEU, ROUGE, or METEOR.
* **Style Transfer:** Measure semantic similarity (e.g., BERTScore) and slang authenticity.
* **Paraphrasing:** Use chrF or BLEU to assess paraphrase quality.

## Citation

If you use this dataset, please cite:

```bibtex
@misc{ranuga_disansa_gamage_2025,
author = { Ranuga Disansa Gamage },
title = { genz-slang-pairs-1k (Revision 9728f69) },
year = 2025,
url = { https://huggingface.co/datasets/Programmer-RD-AI/genz-slang-pairs-1k },
doi = { 10.57967/hf/5742 },
publisher = { Hugging Face }
}
```

## License

This dataset is licensed under the **Apache 2.0 License**. See [license.txt](license.txt) for full text.