Categories-100-en

A curated set of 100 human-readable English category names, generated via self-instruct prompting with DeepSeek V4 Flash 0731.

Use cases

• As a label set for zero-shot or few-shot text classification demos
• For testing long-list selection / tag extraction in LLMs
• As a quick vocabulary of common subject areas for educational tools

Limitations

• Categories are flat (no hierarchy) and some overlap (e.g., "Physics" vs."Astronomy", "Art" vs. "Painting").
• Generated by an LLM; expect some inconsistencies in granularity.

Quickstart

from datasets import load_dataset

ds = load_dataset("RowRed/categories-100-en", split="train")
categories = [row["category"] for row in ds]
print(len(categories))  # 100

License

This dataset is released under the Apache License 2.0.

Attribution:

Generated via self-instruct prompting using DeepSeek V4 Flash 0731 (MIT-licensed). Not affiliated with DeepSeek.

Citation

@misc{categories100en,
  author = {RowRed},
  title = {Categories-100-en},
  year = {2026},
  url = {https://huggingface.co/datasets/RowRed/categories-100-en}
}