Great — here’s exactly **where to put your README.md** so that Hugging Face uses it as your **dataset card**.

---

# 📌 Where to put `README.md` for Hugging Face Datasets

Hugging Face treats the **root-level `README.md`** of your dataset repository as the **Dataset Card**.

This means:

### ✅ **Place `README.md` in the root directory of your LDData folder**, e.g.:

```
LDData/
├── README.md      ← put it here
├── generating-vectors/
├── generating-matrices/
├── examples/
├── some-file.txt
└── upload.py
```

Your local folder should look like the above before running:

```bash
python upload.py --repo-id QMCSoftware/LDData
```

The `upload_folder` API automatically uploads that file as:

```
https://huggingface.co/datasets/QMCSoftware/LDData/blob/main/README.md
```

…which becomes the dataset’s **front-page description**.

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# What if you already have a README.md?

Perfect — the existing one can be **used as the dataset card**, or I can help you **rewrite it in HF Dataset Card format** with recommended sections:

### **Hugging Face Dataset Card Template**

I can create a polished `README.md` using the structure:

* Title + Summary
* Dataset Description
* Motivation & Citation
* Data Structure
* File Format Details
* How to Load with `datasets`
* Links to your paper (ArXiv 2502.14256)
* Benchmarks or usage examples
* License
* Acknowledgements

Similar to:

* Meta Omnilingual ASR Corpus
* NVIDIA PhysicalAI
* Moondream RefCOCO-m

📌 Just say:

> “Generate a dataset card README.md for LDData.”

…and I’ll do the whole draft for you.

---

If you want, I can generate:

### ✔️ A polished dataset card

### ✔️ A lightweight minimal one

### ✔️ Or a fully detailed professional one

Which style do you want?