Update README.md

Dataset Download Guide

README.md

@@ -1,3 +1,110 @@
----
-license: cc-by-4.0
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+---
+license: cc-by-4.0
+---
+# OctoNet Multi-Modal Dataset
+
+Welcome to the **OctoNet** multi-modal dataset! This dataset provides a variety of human activity recordings from multiple sensor modalities, enabling advanced research in activity recognition, pose estimation, multi-modal data fusion, and more.
+
+---
+
+## 1. Overview
+
+- **Name**: OctoNet  
+- **Data**: Multi-modal sensor data, including:
+  - Inertial measurement unit (IMU) data  
+  - Motion capture data in CSV and `.npy` formats  
+  - mmWave / Radar data (vayyar_pickle)  
+  - Multiple sensor nodes (`node_1`, `node_2`, etc.) capturing different data streams  
+- **Use Cases**:
+  - Human activity recognition  
+  - Human pose estimation 
+  - Multi-modal signal processing  
+  - Machine learning/deep learning model training  
+
+---
+
+## 2. File Chunks
+
+Because of the large dataset size, it has been split into multiple chunks:
+''
+Octonet_chunk_aa
+Octonet_chunk_ab
+...
+Octonet_chunk_ap
+''
+
+All chunks are required to reconstruct the full dataset.
+
+---
+
+
+## 3. Download & Merge Instructions
+
+### 3.1 Download All Chunks at Once
+
+Below is an example **bash** snippet that downloads all chunks in sequence. Make sure you have `wget` installed:
+
+```bash
+# Download all Octonet dataset chunks:
+for chunk in aa ab ac ad ae af ag ah ai aj ak al am an ao ap; do
+  wget https://huggingface.co/datasets/aaroneasy/OctoNet-tar/resolve/main/Octonet_chunk_${chunk}
+done
+```
+
+### 3.2 Merge Chunks into a Single Tar (Bash)
+```bash
+cat Octonet_chunk_aa \
+    Octonet_chunk_ab \
+    Octonet_chunk_ac \
+    Octonet_chunk_ad \
+    Octonet_chunk_ae \
+    Octonet_chunk_af \
+    Octonet_chunk_ag \
+    Octonet_chunk_ah \
+    Octonet_chunk_ai \
+    Octonet_chunk_aj \
+    Octonet_chunk_ak \
+    Octonet_chunk_al \
+    Octonet_chunk_am \
+    Octonet_chunk_an \
+    Octonet_chunk_ao \
+    Octonet_chunk_ap \
+    > octonet.tar
+```
+### 3.3 Extract
+```bash
+tar -xvf octonet.tar
+```
+
+## 4. Directory Structure
+After extracting octonet.tar, you should have a structure similar to:
+```bash
+.
+└── octonet
+    ├── mocap_csv_final      # Motion capture data (CSV)
+    ├── mocap_pose           # Motion capture data (NumPy .npy)
+    ├── node_1               # Multi-modal sensor node 1
+    ├── node_2               # Multi-modal sensor node 2
+    ├── node_3               # Multi-modal sensor node 3
+    ├── node_4               # Multi-modal sensor node 4
+    ├── node_5               # Multi-modal sensor node 5
+    ├── imu                  # Inertial measurement unit data (.pickle)
+    ├── vayyar_pickle        # Vayyar mmWave radar data (.pickle)
+    ├── cut_manual.csv       # Manually curated data segments
+```
+## 5. Quick Start with Octonet Code
+
+For more details, refer to the original README in code repository in githublink.
+
+## 6. License
+License: CC BY 4.0
+
+## 7. Contact & Disclaimer
+Contact:
+
+    Email: 1155177815@link.cuhk.edu.hk
+
+    GitHub: 
+
+Disclaimer:
+This dataset is provided as is without warranties of any kind and is intended for research/educational purposes only. The creators assume no responsibility for any misuse or damages.