Update README.md

README.md

@@ -1,3 +1,88 @@
 ---
 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}
+}
+```