| --- |
| language: [zh, en] |
| pretty_name: "data_folder" |
| tags: [robotics, simulation, robodojo] |
| configs: |
| - config_name: native_episode_inventory |
| data_files: |
| - split: inventory |
| path: native_episode_inventory.csv |
| extra_gated_heading: "申请访问训练数据 / Request training data access" |
| extra_gated_description: "申请需经人工审核，获批后方可下载训练数据。所在地及单位信息用于申请审核与地域、机构统计，联系邮箱用于申请相关联系，无需提供街道或详细地址。Requests are reviewed manually. Location and organization information is used for access review and geographic/organization statistics; the contact email is used for application-related communication. No street address is required." |
| extra_gated_prompt: "请填写当前主要工作或研究所在地，而非国籍。示例：中国 / 广东省 / 深圳市。没有省或州的地区填写 N/A。Please enter your current primary work or research location, not your nationality. Example: China / Guangdong / Shenzhen. Enter N/A if no province or state applies. 请填写单位全称（学校、研究机构或公司；无所属单位请填“独立研究者”），并提供可接收邮件的联系邮箱。Please provide your full organization name (university, research institute, or company; enter \"Independent researcher\" if unaffiliated) and a reachable contact email." |
| extra_gated_button_content: "提交申请 / Submit request" |
| extra_gated_fields: {"国家/地区 / Country or region": "country", "省/州 / Province or state": "text", "城市 / City": "text", "单位 / Organization": "text", "联系邮箱 / Contact email": "text"} |
| --- |
| |
| # RoboDojo 训练数据 |
|
|
| 共 **10,800 条**，机器人为 `franka`、`piper`、`x5`，每个机器人、每个任务各 **1,200 条**。 |
|
|
| | 任务 | 数据量 | |
| | --- | ---: | |
| | `general_pickup` | 3,600 | |
| | `place_the_cup_on_the_table` | 3,600 | |
| | `place_the_goods_into_basket` | 3,600 | |
|
|
| `general_pickup` 包含标准场景和干扰物场景，以 `task_variant` 区分。目录按 `<task>/<robot>/` 组织，包含 HDF5、五路 MP4、布局、场景和种子信息。 |
|
|
| | 元文件 | 用途 | |
| | --- | --- | |
| | [native_episode_inventory.csv](native_episode_inventory.csv) | 逐条索引，包含任务、机器人、编号、帧数和来源哈希。 | |
| | [selection_manifest.json](selection_manifest.json) | 逐条来源、原始编号、质量信息和文件哈希。 | |
| | [publication_summary.json](publication_summary.json) | 数据统计、质量标准与验证范围摘要。 | |
| | [document_checksums.json](document_checksums.json) | 说明和索引文件的哈希校验。 | |
| | `task_merge_manifest.json` | 仅本地归档的合并映射；公开对应信息已在数据清单及场景文件中保留。 | |
|
|
| 仓库公开可见，下载训练数据需申请并经人工审核。 |
|
|
