Subcategories-2000-en

A hierarchical label set of 2,000 English subcategories organized under the 100 top-level categories from categories-100-en, with exactly 20 subcategories per parent category.

Structure

Each of the 100 parent categories has exactly 20 subcategories:

category	count
Physics	20
Chemistry	20
...	...
Sustainable Living	20
Total	2,000

Use cases

• Hierarchical / coarse-to-fine text classification
• Testing long-list label selection (2,000-class label space) in LLMs
• Prompt or intent template generation for educational chatbots
• Taxonomy quality checks and label-expansion experiments

Limitations

• Generated by an LLM and not curated by human subject-matter experts; expect some overlap between neighboring categories (e.g., "Marine Biology" vs. "Oceanography").
• The parent category field matches categories-100-en, but subcategory phrasing can be inconsistent in granularity ("Saving strategies" vs. "Mutual funds and ETFs").
• Educational/descriptive labels only — not verified facts or medical advice.

Quickstart

from datasets import load_dataset

ds = load_dataset("RowRed/subcategories-2000-en", split="train")

print(ds.num_rows)  # 2000
print(ds.features)  # {'subcategory': Value('string'), 'category': Value('string')}

# Group by parent category
from collections import Counter
counts = Counter(row["category"] for row in ds)
print(len(counts))                   # 100 (unique parents)
print(all(v == 20 for v in counts.values()))  # True

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{subcategories2000en,
  author = {RowRed},
  title = {Subcategories-2000-en},
  year = {2026},
  url = {https://huggingface.co/datasets/RowRed/subcategories-2000-en}
}