README.md

---
title: ascad-v2-1
tags:
- side-channel-analysis
- cryptography
- DLSCA
parameters:
  HF_ORG: DLSCA
  CHUNK_SIZE_Y: 50000
  CHUNK_SIZE_X: 200
  TOTAL_CHUNKS_ON_Y: 2
  TOTAL_CHUNKS_ON_X: 5000
  NUM_JOBS: 10
  CAN_RUN_LOCALLY: True
  CAN_RUN_ON_CLOUD: False
  COMPRESSED: True
---

# ascad-v2-1

This script downloads, extracts, and uploads the optimized ASCAD v2 (1-100k traces) dataset to Hugging Face Hub.

## Dataset Structure

This dataset is stored in Zarr format, optimized for chunked and compressed cloud storage.

### Traces (`/traces`)
- **Shape**: `[100000, 1000000]` (Traces x Time Samples)
- **Data Type**: `int8`
- **Chunk Shape**: `[50000, 200]`

### Metadata (`/metadata`)
- **ciphertext**: shape `[100000, 16]`, dtype `uint8`
- **key**: shape `[100000, 16]`, dtype `uint8`
- **mask**: shape `[100000, 16]`, dtype `uint8`
- **mask_**: shape `[100000, 16]`, dtype `uint8`
- **plaintext**: shape `[100000, 16]`, dtype `uint8`
- **rin**: shape `[100000, 1]`, dtype `uint8`
- **rin_**: shape `[100000, 1]`, dtype `uint8`
- **rm**: shape `[100000, 1]`, dtype `uint8`
- **rm_**: shape `[100000, 1]`, dtype `uint8`
- **rout**: shape `[100000, 1]`, dtype `uint8`
- **rout_**: shape `[100000, 1]`, dtype `uint8`

## Parameters Used for Generation

- **HF_ORG**: `DLSCA`
- **CHUNK_SIZE_Y**: `50000`
- **CHUNK_SIZE_X**: `200`
- **TOTAL_CHUNKS_ON_Y**: `2`
- **TOTAL_CHUNKS_ON_X**: `5000`
- **NUM_JOBS**: `10`
- **CAN_RUN_LOCALLY**: `True`
- **CAN_RUN_ON_CLOUD**: `False`
- **COMPRESSED**: `True`

## Usage

You can load this dataset directly using Zarr and Hugging Face File System:

```python
import zarr
from huggingface_hub import HfFileSystem

fs = HfFileSystem()

# Map only once to the dataset root
root = zarr.open_group(fs.get_mapper("datasets/DLSCA/ascad-v2-1"), mode="r")

# Access traces directly
traces = root["traces"]
print("Traces shape:", traces.shape)

# Access plaintext metadata directly
plaintext = root["metadata"]["plaintext"]
print("Plaintext shape:", plaintext.shape)
```