Super-squash branch 'main' using huggingface_hub

LICENSE

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+MicroAGI01 Open Use, No-Resale License v1.0
+
+Copyright © 2026 MicroAGI.Inc All rights reserved.
+
+1. Definitions
+   "Dataset" means the MicroAGI01 dataset, including all files, media, annotations, metadata, and accompanying documentation.
+   "Derivative Data" means any data created from, based on, or derived from the Dataset that incorporates, reproduces, or makes accessible any portion of the original Dataset content, including but not limited to re-encodings, subsets, crops, extracted frames, transcripts, labels, depth maps, vectorized features, embeddings, or synthetic augmentations that enable reconstruction of recognizable portions of the original Dataset. For the avoidance of doubt, Derivative Data excludes Trained Models and Outputs.
+   "Trained Models" means machine learning models, neural networks, or other computational models whose parameters have been trained, fine-tuned, or otherwise adjusted using the Dataset.
+   "Outputs" means any results, inferences, predictions, or generated content produced by Trained Models.
+   "Commercial Internal Use" means use within your organization for business purposes, including but not limited to training models for internal products, research and development, proof-of-concept development, and internal testing or evaluation.
+
+2. License Grant
+   Subject to the terms and conditions of this license, MicroAGI grants you a worldwide, royalty-free, non-exclusive, irrevocable license to:
+   (a) use, reproduce, modify, and create Derivative Data from the Dataset for any lawful purpose, including Commercial Internal Use to an extend this license allows;
+   (b) train models using the Dataset and create Trained Models;
+   (c) generate, use, and distribute Outputs from Trained Models under any terms you choose; and
+   (d) publish, share, or distribute Trained Models under any license terms you choose. For clarity, Trained Models and Their outputs are not "Derivative Data."
+
+3. Redistribution Restrictions 
+   You may redistribute the Dataset or Derivative Data only under the following conditions:
+   (a) Free Distribution Only: You may not sell, license for payment, sublicense for payment, rent, lease, or otherwise charge any fee for access to the Dataset or Derivative Data, including through paid APIs, subscription services, premium tiers, or gated downloads requiring payment.
+   (b) Same License: Any redistribution must be under this same license, with all terms intact.
+   (c) Cost Recovery Exception: You may charge fees solely to recover actual, direct costs of physical media, bandwidth, or hosting services, provided such fees do not exceed your documented actual costs and, upon reasonable request by MicroAGI, you provide a cost breakdown.
+   (d) Commercial Hosting Permitted: You may host the Dataset on commercial platforms (cloud storage, repositories) as long as download access remains free to end users. Access must be available without payment and without mandatory marketing gates; reasonable rate-limiting and account creation for abuse prevention is permitted.
+   (e) No Indirect Paywalls: You may not impose charges for products, services, bundles, or memberships where access to the Dataset or Derivative Data is a material component of the value received.
+
+4. Attribution
+   Attribution is required for public uses of the Dataset or Derivative Data. Include the following credit in a reasonable location for the medium (e.g., paper acknowledgements or methods, repository README, product About or legal notices, dataset landing pages):
+   This work uses the MicroAGI01 dataset (MicroAGI.Inc, 2026).
+   When technically feasible, include a link to: www.microagi.ai
+   Retain all copyright notices and this license when redistributing the Dataset or Derivative Data.
+   Attribution is appreciated but not required for Trained Models or Outputs.
+
+5. Compliance and Takedown
+   (a) Legal Compliance: You are solely responsible for ensuring your use complies with all applicable laws, regulations, and third-party rights, including but not limited to privacy laws, data protection regulations, and export controls.
+   (b) Takedown Process: Upon written notice from MicroAGI identifying specific content that must be removed due to legal requirements, third-party rights, or other valid concerns, you must remove or restrict access to the identified content within 15 days of notice (or sooner if legally required) and provide written confirmation of compliance. You may dispute the takedown by providing a written counter-notice with supporting documentation within the same period.
+
+6. Trademarks
+   This license grants no rights to use MicroAGI's names, logos, trademarks, or service marks, except as necessary for the attribution required in Section 4.
+
+7. Updates and Versions
+   MicroAGI may release updated versions of this license. Your use of the Dataset will continue to be governed by the version under which you first obtained it, unless you choose to adopt a newer version.
+
+8. Disclaimer and Limitation of Liability
+   THE DATASET IS PROVIDED "AS IS" WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, NON-INFRINGEMENT, OR ACCURACY.
+   TO THE MAXIMUM EXTENT PERMITTED BY LAW, MICROAGI SHALL NOT BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL, OR PUNITIVE DAMAGES ARISING FROM OR RELATED TO YOUR USE OF THE DATASET, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
+
+9. Termination
+   (a) Automatic Termination: Your rights under this license terminate automatically if you breach any terms of this license.
+   (b) Effect of Termination: Upon termination, you must immediately cease all use and distribution of the Dataset and Derivative Data, and destroy any copies in your possession or control. However, recipients who received the Dataset or Derivative Data from you prior to termination retain their rights under this license provided they remain in compliance.
+   (c) Survival: Trained Models created prior to termination and their Outputs are not affected by termination, provided the original training was compliant.
+
+10. Governing Law
+    This license is governed by the laws of the State of Delaware, USA, without regard to conflict of law principles. Any disputes shall be resolved in the state or federal courts of Delaware, unless mandatory local law provides otherwise for your jurisdiction.
+
+11. General
+    Severability: If any provision of this license is held unenforceable, the remaining provisions shall remain in full force and effect.
+    No Waiver: Failure to enforce any provision shall not constitute a waiver of that or any other provision.
+    Assignment: You may not assign or transfer this license or any rights hereunder without MicroAGI's prior written consent; MicroAGI may assign this license.
+    Export/Sanctions: You will comply with all applicable export control and sanctions laws and regulations.
+    Entire Agreement: This license constitutes the entire agreement between you and MicroAGI regarding the Dataset and supersedes all prior understandings related to the Dataset.
+
+License Version: 1.0
+Effective Date: 22.01.2026
+Contact: data@micro-agi.com -- www.microagi.ai

README.md

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+---
+license: other
+license_name: maginoresell
+license_link: https://huggingface.co/datasets/MicroAGI-Labs/MicroAGI01/blob/main/LICENSE
+task_categories:
+- robotics
+- text-generation
+tags:
+- egocentric
+- fov
+- VLA
+- VLM
+size_categories:
+- 100M<n<1B
+---
+# MicroAGI01: Egocentric Manipulation Dataset
+
+> **License:** See `maginoresell`
+
+MicroAGI01 is an egocentric RGB-D dataset of human household manipulation with full pose annotations. 676 recordings spanning 137 task types across 14 activity categories.
+
+## What's Included Per Recording
+
+- RGB + depth streams
+- Camera pose (6DoF)
+- Hand poses (3D landmarks)
+- Task segmentation with text annotations
+
+## Quick Facts
+
+| | |
+|---|---|
+| **Recordings** | 676 mcaps (283 cut, 393 uncut) |
+| **Task types** | 137 |
+| **Container** | `.mcap` |
+| **Previews** | 1 sample `.mp4` file |
+
+## Folder Structure
+
+```
+MicroAGI01/
+├── uncut_mcaps/          # Full-length recordings, ≥80% hands validity
+├── cut_mcaps/            # Shorter semantic chunks, ≥95% hands validity
+├── task_mapping.csv      # Task labels per recording
+├── microagi01viewerfoxglove.json
+└── LICENSE
+```
+
+**Start with `uncut_mcaps`** — full-length recordings with all annotations included.
+
+**`cut_mcaps`** contains shorter, semantically-complete segments with stricter hand tracking validity.
+
+## Task Categories
+
+Kitchen: `kitchen_cooking`, `kitchen_prep`, `kitchen_dishes`, `kitchen_organization`, `kitchen_dining`, `kitchen_general`
+
+Cleaning: `cleaning_general`, `cleaning_floor`
+
+Laundry: `laundry`
+
+Organization: `general_organization`, `general_household`
+
+Rooms: `bedroom`, `bathroom`, `living_room`
+
+## Topic Structure
+
+### Overview
+
+```
+Meta      /meta
+Camera
+          /tf_static
+          /camera/color/image, /camera/color/info (+ /camera/color/health)
+          /camera/depth/image, /camera/depth/info, /camera/depth/unit_of_depth_in_mm
+SLAM      /tf/camera (+ .../health, .../state)
+Hands     /tf/hands, /hands/left, /hands/right (+ .../health)
+IMU       /imu/accel/sample, /imu/gyro/sample
+Task      /task (includes task_title)
+```
+
+### Descriptions (of relevant topics)
+
+```
+/meta: Information about the mcap, the operator, ... (operator_height_in_m, metadata for general task description)
+/tf_static: Any static transforms (Includes transforms between camera, imu, depth and color)
+/camera/.../image: JPEG@90 image for color, PNG for depth
+/camera/.../info: Parameters for sensor (especially intrinsics)
+/camera/depth/unit_of_depth_in_mm: Defines the depth unit conversion. Currently set to 1, meaning the raw pixel values in the depth image are measured directly in millimeters (e.g., a pixel value of 1000 equals 1 meter)
+/camera/color/health: Signals bad images which are e.g. too dark, blurry, ...
+/tf/camera: Pose of camera (Only valid if a msg on .../health exists with the same timestamp and valid == true, otherwise they should be ignored. Poses are only coherent to poses in the same block of valid poses.)
+/tf/camera/health: Signals regions which successful tracking
+/tf/hands: Pose of left and right wrist
+/hands/...: Positions of Hand keypoints (In wrist frame)
+/hands/.../health: Signals whether to trust the hands position or not
+/imu/.../sample: Raw imu samples
+/task: Description of the current task (includes task_title)
+```
+
+### TF-Tree (Across all tf (static) topics)
+
+```
+TF_TREE (RightHanded Coordinate Systems):
+world (On the ground; z is up, gravity aligned)
+	camera (Center of camera; z is up, x is front)
+        # Camera data
+		depth (Reference for the depth image; x to the right, y is down)
+			accel (Reference for the accel)
+			gyro (Reference for the gyro)
+			color (Reference for the color image; x to the right, y is down)
+
+		left_wrist (x is in direction from pinky to thumb, z is in direction of arm)
+		right_wrist (x is in direction from pinky to thumb, z is in direction of arm)
+```
+
+## Download
+
+Everything:
+```bash
+huggingface-cli download MicroAGI-Labs/MicroAGI01 --repo-type dataset --local-dir ./MicroAGI01
+```
+
+Single file:
+```bash
+huggingface-cli download MicroAGI-Labs/MicroAGI01 uncut_mcaps/open-source-06.mcap --repo-type dataset --local-dir ./
+```
+
+## Viewing
+
+We use [Foxglove](https://foxglove.dev/). A layout template is included in the repo:
+
+1. Open Foxglove
+2. Layout → Import layout → select `microagi01viewerfoxglove.json`
+3. Load any `.mcap` file
+
+This sets up the 3D view, camera feed, hand validity state transitions, and task annotations panel.
+
+
+## Extracting protobuf
+  We use [our github repo](https://github.com/MicroAGI-Labs/mcap-topic-extractor). A script is included in the repo.
+
+## Intended Uses
+
+- Policy and skill learning (robotics / VLA)
+- Action detection and segmentation
+- Hand/pose estimation and grasp analysis
+- World-model pre/post training
+
+## Attribution
+
+```
+This work uses the MicroAGI01 dataset (MicroAGI, Inc. 2026).
+```
+
+## Contact
+
+Questions: `info@micro-agi.com`
+
+Custom data or derived signals: `data@micro-agi.com`

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