update README

README.md

@@ -1,96 +1,96 @@
 # Challenge 2026 Dataset
 
-本数据集为2026年全球人形机器人挑战赛仿真赛提供训练/评估数据。
+This dataset provides training/evaluation data for the 2026 Global Humanoid Robot Challenge Simulation Competition.
 
-**数据格式**: LeRobot v2.1
+**Data Format**: LeRobot v2.1
 
-## 目录结构
+## Directory Structure
 
 ```
-Packing_box/box_closing_001/         - 纸箱打包（双臂协同）
+Packing_box/box_closing_001/         - Carton Packing (Dual-arm Coordination)
 ```
 
-## 数据集概览
+## Dataset Overview
 
-- **纸箱打包（双臂协同）**
+- **Carton Packing (Dual-arm Coordination)**
   - `box_closing_001`: 50 episodes
 
-## 数据格式
+## Data Format
 
-每个数据集包含多个 episode，以 Parquet 格式存储：
+Each dataset contains multiple episodes stored in Parquet format:
 
 ```
 {dataset_name}/data/chunk-000/episode_XXXXXX.parquet
 ```
 
-- 数据集 ID 格式：`{action}_{编号}`（如 `box_closing_001`）
-- Episode 文件名：`episode_{6位数字}.parquet`（补零对齐）
+- Dataset ID format: `{action}_{number}` (e.g., `box_closing_001`)
+- Episode filename: `episode_{6-digit number}.parquet` (zero-padded)
 
-字段定义见主项目 `lerobot/common/policies/utils.py` 中的 observation/action 定义。
+Field definitions can be found in the main project at `lerobot/common/policies/utils.py` under observation/action definitions.
 
-## Hugging Face 上传/下载
+## Hugging Face Upload/Download
 
-### 方法一：Hugging Face CLI
+### Method 1: Hugging Face CLI
 
 ```bash
-# 安装 HF CLI
+# Install HF CLI
 powershell -ExecutionPolicy ByPass -c "irm https://hf.co/cli/install.ps1 | iex"
 
-# 登录
+# Login
 hf auth login
 
-# 上传
+# Upload
 hf upload UBTECH-Robotics/challenge2026_dataset .
 
-# 下载
+# Download
 hf download UBTECH-Robotics/challenge2026_dataset
 ```
 
-### 方法二：Python
+### Method 2: Python
 
 ```python
 from huggingface_hub import login, upload_folder, snapshot_download
 
-# 登录
+# Login
 login()
 
-# 上传
+# Upload
 upload_folder(
     folder_path=".",
     repo_id="UBTECH-Robotics/challenge2026_dataset",
     repo_type="dataset"
 )
 
-# 下载
+# Download
 snapshot_download(
     repo_id="UBTECH-Robotics/challenge2026_dataset",
     repo_type="dataset"
 )
 ```
 
-### 方法三：Git + Git-XET
+### Method 3: Git + Git-XET
 
 ```bash
-# 安装 git-xet
+# Install git-xet
 git xet install
 
-# 克隆（HTTPS）
+# Clone (HTTPS)
 git clone https://huggingface.co/UBTECH-Robotics/challenge2026_dataset
 cd challenge2026_dataset
 
-# 推送
+# Push
 git push
 
-# 或使用 SSH
+# Or use SSH
 git clone git@hf.co:UBTECH-Robotics/challenge2026_dataset
 ```
 
-## 数据集命名规范
+## Dataset Naming Convention
 
-| 层级 | 格式 | 示例 |
-|------|------|------|
+| Level | Format | Example |
+|-------|--------|---------|
 | Task | / | `Packing_box` |
-| 数据集目录 | `{action}_{编号}` | `box_closing_001/`, `box_closing_002/` |
-| Episode 文件 | `episode_{6位数字}.parquet` | `episode_000000.parquet` |
+| Dataset Directory | `{action}_{number}` | `box_closing_001/`, `box_closing_002/` |
+| Episode File | `episode_{6-digit number}.parquet` | `episode_000000.parquet` |
 
-新增数据集时，按编号顺序递增（如 `_001`, `_002`, `_003`）。
+When adding new datasets, increment the number sequentially (e.g., `_001`, `_002`, `_003`).

README_en.md → README_zh.md

@@ -1,96 +1,96 @@
 # Challenge 2026 Dataset
 
-This dataset provides training/evaluation data for the 2026 Global Humanoid Robot Challenge Simulation Competition.
+本数据集为2026年全球人形机器人挑战赛仿真赛提供训练/评估数据。
 
-**Data Format**: LeRobot v2.1
+**数据格式**: LeRobot v2.1
 
-## Directory Structure
+## 目录结构
 
 ```
-Packing_box/box_closing_001/         - Carton Packing (Dual-arm Coordination)
+Packing_box/box_closing_001/         - 纸箱打包（双臂协同）
 ```
 
-## Dataset Overview
+## 数据集概览
 
-- **Carton Packing (Dual-arm Coordination)**
+- **纸箱打包（双臂协同）**
   - `box_closing_001`: 50 episodes
 
-## Data Format
+## 数据格式
 
-Each dataset contains multiple episodes stored in Parquet format:
+每个数据集包含多个 episode，以 Parquet 格式存储：
 
 ```
 {dataset_name}/data/chunk-000/episode_XXXXXX.parquet
 ```
 
-- Dataset ID format: `{action}_{number}` (e.g., `box_closing_001`)
-- Episode filename: `episode_{6-digit number}.parquet` (zero-padded)
+- 数据集 ID 格式：`{action}_{编号}`（如 `box_closing_001`）
+- Episode 文件名：`episode_{6位数字}.parquet`（补零对齐）
 
-Field definitions can be found in the main project at `lerobot/common/policies/utils.py` under observation/action definitions.
+字段定义见主项目 `lerobot/common/policies/utils.py` 中的 observation/action 定义。
 
-## Hugging Face Upload/Download
+## Hugging Face 上传/下载
 
-### Method 1: Hugging Face CLI
+### 方法一：Hugging Face CLI
 
 ```bash
-# Install HF CLI
+# 安装 HF CLI
 powershell -ExecutionPolicy ByPass -c "irm https://hf.co/cli/install.ps1 | iex"
 
-# Login
+# 登录
 hf auth login
 
-# Upload
+# 上传
 hf upload UBTECH-Robotics/challenge2026_dataset .
 
-# Download
+# 下载
 hf download UBTECH-Robotics/challenge2026_dataset
 ```
 
-### Method 2: Python
+### 方法二：Python
 
 ```python
 from huggingface_hub import login, upload_folder, snapshot_download
 
-# Login
+# 登录
 login()
 
-# Upload
+# 上传
 upload_folder(
     folder_path=".",
     repo_id="UBTECH-Robotics/challenge2026_dataset",
     repo_type="dataset"
 )
 
-# Download
+# 下载
 snapshot_download(
     repo_id="UBTECH-Robotics/challenge2026_dataset",
     repo_type="dataset"
 )
 ```
 
-### Method 3: Git + Git-XET
+### 方法三：Git + Git-XET
 
 ```bash
-# Install git-xet
+# 安装 git-xet
 git xet install
 
-# Clone (HTTPS)
+# 克隆（HTTPS）
 git clone https://huggingface.co/UBTECH-Robotics/challenge2026_dataset
 cd challenge2026_dataset
 
-# Push
+# 推送
 git push
 
-# Or use SSH
+# 或使用 SSH
 git clone git@hf.co:UBTECH-Robotics/challenge2026_dataset
 ```
 
-## Dataset Naming Convention
+## 数据集命名规范
 
-| Level | Format | Example |
-|-------|--------|---------|
+| 层级 | 格式 | 示例 |
+|------|------|------|
 | Task | / | `Packing_box` |
-| Dataset Directory | `{action}_{number}` | `box_closing_001/`, `box_closing_002/` |
-| Episode File | `episode_{6-digit number}.parquet` | `episode_000000.parquet` |
+| 数据集目录 | `{action}_{编号}` | `box_closing_001/`, `box_closing_002/` |
+| Episode 文件 | `episode_{6位数字}.parquet` | `episode_000000.parquet` |
 
-When adding new datasets, increment the number sequentially (e.g., `_001`, `_002`, `_003`).
+新增数据集时，按编号顺序递增（如 `_001`, `_002`, `_003`）。