Create README.md

README.md

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+---
+license: apache-2.0
+task_categories:
+- robotics
+tags:
+- manipulation
+- vla
+---
+
+# Simple Teleoperated Franka Pick-Cube Dataset in LeRobot Format
+This repository contains the franka dataset in parquet format used to train PiZero in the paper [Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale](https://huggingface.co/papers/2509.14932).
+This dataset is in LeRobot format and thus ready to use for training OpenPi, lerobot and other models which support this common format.
+The Robot Control Stack (RCS) is a flexible Gymnasium wrapper-based robot control interface made for robot learning and specifically Vision-Language-Action (VLA) models.
+It unifies MuJoCo simulation and real world robot control with four supported robots: FR3/Panda, xArm7, UR5e and SO101. It ships with several pre-build apps including data collection via teleoperation and remote model inference.
+
+Project page: https://robotcontrolstack.github.io/
+RCS Code: https://github.com/RobotControlStack/robot-control-stack
+
+If you are looking for the raw format that was recorded in RCS, see [this dataset](https://huggingface.co/datasets/RobotControlStack/rcs_utn_green_box_v1).
+
+
+## Citation
+If you find this dataset or RCS useful for your work, please consider citing it:
+```
+@inproceedings{juelg2025robotcontrolstack,
+  title={{Robot Control Stack}: {A} Lean Ecosystem for Robot Learning at Scale}, 
+  author={Tobias J{\"u}lg and Pierre Krack and Seongjin Bien and Yannik Blei and Khaled Gamal and Ken Nakahara and Johannes Hechtl and Roberto Calandra and Wolfram Burgard and Florian Walter},
+  year={2025},
+  booktitle={Proc.~of the IEEE Int.~Conf.~on Robotics \& Automation (ICRA)},
+  note={Accepted for publication.}
+}
+```