| --- |
| license: apache-2.0 |
| language: |
| - en |
| size_categories: |
| - 1K<n<10K |
| tags: |
| - taxonomy |
| - hierarchical-classification |
| - label-set |
| - text-classification |
| - few-shot |
| - synthetic |
| --- |
| |
| # Subcategories-2000-en |
|
|
| A hierarchical label set of 2,000 English subcategories organized under the 100 top-level categories from [`categories-100-en`](https://huggingface.co/datasets/RowRed/categories-100-en), with exactly 20 subcategories per parent category. |
|
|
| ## Dataset Description |
|
|
| - **Total items:** 2,000 |
| - **Format:** JSONL (one JSON object per line) |
| - **Fields:** |
| - `"subcategory"` (string) – granular topic or task label |
| - `"category"` (string) – parent category from the 100-category set |
| - **Language:** English |
| - **License:** Apache 2.0 |
| - **Source:** LLM-generated via DeepSeek V4 Flash 0731 (self-instruct). Not affiliated with DeepSeek. |
|
|
| ## 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 |
|
|
| ```python |
| 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 |
|
|
| ```bibtex |
| @misc{subcategories2000en, |
| author = {RowRed}, |
| title = {Subcategories-2000-en}, |
| year = {2026}, |
| url = {https://huggingface.co/datasets/RowRed/subcategories-2000-en} |
| } |
| ``` |
