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README.md

@@ -1,58 +1,43 @@
 ---
 license: cc-by-4.0
-task_categories:
-  - image-classification
-  - image-segmentation
 tags:
   - electron-microscopy
   - 4D-STEM
   - materials-science
   - quantem
 pretty_name: quantem-data
-size_categories:
-  - 1K<n<10K
 ---
 
 # quantem-data
 
-Real electron microscopy datasets for [quantem.widget](https://github.com/bobleesj/quantem.widget) and [quantem](https://github.com/electronmicroscopy/quantem).
+Reference electron-microscopy datasets for [quantem.live](https://github.com/bobleesj/quantem.live).
 
-## Install
+Two buckets:
 
-```bash
-pip install quantem-data
-```
+- **`4dstem/`** — 4D-STEM acquisitions (one folder per dataset: Arina master + data chunks)
+- **`haadf/`** — HAADF survey images
 
-## Quick Start
+## Download with quantem.live
 
 ```python
-from quantem.data import load
+from quantem.live import io
 from quantem.widget import Show4DSTEM, Show2D
+import torch
 
-# 4D-STEM dataset (9 MB, cached locally)
-Show4DSTEM(load("srtio3_lamella"), scan_shape=(32, 32))
+# 4D-STEM: download (cached after first time), bin to fit your GPU, browse
+folder = io.download("gold_512")                       # -> 4dstem/gold_512/
+data = io.load(io.discover_masters(folder)[0], det_bin=2)
+Show4DSTEM(torch.from_dlpack(data.data))
 
-# Bright-field image
-Show2D(load("srtio3_bf"))
+# HAADF image
+Show2D(io.read_image(io.download("gold_haadf")))       # -> haadf/gold_haadf.emd
 ```
 
-## Folder Structure
-
-| Folder | Data type | quantem.widget |
-|--------|-----------|----------------|
-| `4dstem/` | 4D-STEM diffraction | Show4DSTEM, Show4D |
-| `hrtem/` | High-resolution TEM | Show2D, Mark2D |
-| `eels/` | Electron energy loss | Show1D |
-| `tomo/` | Tomography | Show3DVolume |
-| `diffraction/` | Diffraction patterns | Show2D |
-| `image/` | Virtual/derived images | Show2D, Mark2D |
-| `complex/` | Ptychography | ShowComplex2D |
-| `raw/` | Original instrument files | — |
-
-## Metadata
+From a terminal: `live data list` · `live data download gold_512`.
 
-Every `.npy` file has a paired `.json` sidecar with structured metadata (schema, shape, attribution, calibration).
+## Current datasets
 
-## Contributing
+- `4dstem/`: gold_512, gold_30mrad1.3mx04, gold_30mrad1.3mx06, gold_30mrad1.3mx07, gold_30mrad1.3mx09
+- `haadf/`: gold_haadf
 
-Upload via Python API or CLI. See [quantem.data docs](https://github.com/bobleesj/quantem.data).
+Run `live data list` for the live set.