Update README.md

README.md

@@ -1,3 +1,25 @@
----
-license: cc-by-nc-nd-4.0
----
+---
+license: cc-by-nc-nd-4.0
+task_categories:
+- object-detection
+tags:
+- complex actions
+- sensor data
+- robotic
+- robot learning models
+- multimodal robot manipulation
+size_categories:
+- 1K<n<10K
+---
+# Robotic Dataset
+The dataset comprises **1,000+** hours of **multimodal robot manipulation** data collected from real-world environments, demonstrating manipulation tasks such as **cleaning, laundry folding, and dishwashing** performed by different robots. It contains synchronized **sensor data** from seven **9-axis IMU units** attached to the robot arms, forearms, and chest, along with head-mounted videos and detailed trajectory recordings.
+
+By utilizing this dataset, researchers can explore learning methods and robot manipulation techniques that enhance the ability of real robots to **handle different objects** and perform **complex actions** in real-world scenarios.  - **[Get the data](https://unidata.pro/datasets/robotic-household-activities/?utm_source=huggingface&utm_medium=referral&utm_campaign=robotic-household-activities)**
+
+Designed for robotic learning and model training, it provides data suitable for training models in robotic systems, foundation models, and real-world applications of humanoid robotics and robot manipulation.
+ 
+## 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/robotic-household-activities/?utm_source=huggingface&utm_medium=referral&utm_campaign=robotic-household-activities) to discuss your requirements and pricing options.
+
+Dataset enables researchers and developers to build large-scale robot learning models, making it an essential resource for advancing robotic manipulation and real-world robotics research.
+
+## 🌐 [UniData](https://unidata.pro/datasets/robotic-household-activities/?utm_source=huggingface&utm_medium=referral&utm_campaign=robotic-household-activities) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects