| --- |
| license: apache-2.0 |
| language: |
| - en |
| size_categories: |
| - n<1K |
| tags: |
| - taxonomy |
| - label-set |
| - text-classification |
| - few-shot |
| - synthetic |
| --- |
| |
| # Categories-100-en |
|
|
| A curated set of 100 human-readable English category names, generated via self-instruct prompting with DeepSeek V4 Flash 0731. |
|
|
| ## Dataset Description |
|
|
| - **Total items:** 100 |
| - **Format:** JSONL (one JSON object per line) |
| - **Field:** `"category"` – human-readable category name (string) |
| - **Language:** English |
| - **License:** Apache 2.0 |
| - **Source:** LLM-generated via DeepSeek V4 Flash 0731 (self-instruct). Not affiliated with DeepSeek. |
|
|
| ## 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 |
|
|
| ```python |
| 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 |
|
|
| ```bibtex |
| @misc{categories100en, |
| author = {RowRed}, |
| title = {Categories-100-en}, |
| year = {2026}, |
| url = {https://huggingface.co/datasets/RowRed/categories-100-en} |
| } |
| ``` |
