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Improve dataset card: Add paper, project, code links, citation, and update license

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This PR updates the dataset card for the "Robot Learning: A Tutorial" dataset.

Key changes include:
- Updated the license in the metadata from `apache-2.0` to `cc-by-nc-sa-4.0` to align with the content license specified in the associated GitHub repository. The `apache-2.0` license applies to code snippets, while the tutorial's content/data falls under the Creative Commons license.
- Added a `language: en` tag to the metadata.
- Included a descriptive paragraph for the dataset.
- Added direct links to the paper ([https://huggingface.co/papers/2510.12403](https://huggingface.co/papers/2510.12403)), the project page ([https://huggingface.co/spaces/lerobot/robot-learning-tutorial](https://huggingface.co/spaces/lerobot/robot-learning-tutorial)), and the GitHub repository ([https://github.com/fracapuano/robot-learning-tutorial](https://github.com/fracapuano/robot-learning-tutorial)).
- Updated the license information in the content to `cc-by-nc-sa-4.0`.
- Added the BibTeX citation for the paper.

Files changed (1) hide show
  1. README.md +14 -7
README.md CHANGED
@@ -1,9 +1,11 @@
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  ---
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- license: apache-2.0
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  task_categories:
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  - robotics
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  tags:
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  - LeRobot
 
 
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  configs:
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  - config_name: default
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  data_files: data/*/*.parquet
@@ -13,11 +15,12 @@ This dataset was created using [LeRobot](https://github.com/huggingface/lerobot)
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  ## Dataset Description
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-
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- - **Homepage:** [More Information Needed]
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- - **Paper:** [More Information Needed]
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- - **License:** apache-2.0
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  ## Dataset Structure
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@@ -143,11 +146,15 @@ This dataset was created using [LeRobot](https://github.com/huggingface/lerobot)
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  }
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  ```
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-
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  ## Citation
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  **BibTeX:**
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  ```bibtex
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- [More Information Needed]
 
 
 
 
 
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  ```
 
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  ---
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+ license: cc-by-nc-sa-4.0
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  task_categories:
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  - robotics
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  tags:
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  - LeRobot
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+ language:
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+ - en
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  configs:
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  - config_name: default
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  data_files: data/*/*.parquet
 
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  ## Dataset Description
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+ This dataset provides examples and data accompanying the paper "[Robot Learning: A Tutorial](https://huggingface.co/papers/2510.12403)". The tutorial navigates the landscape of modern robot learning, charting a course from foundational principles of Reinforcement Learning and Behavioral Cloning to generalist, language-conditioned models capable of operating across diverse tasks and robot embodiments. This dataset includes ready-to-use examples implemented in `lerobot`.
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+ - **Homepage:** [https://huggingface.co/spaces/lerobot/robot-learning-tutorial](https://huggingface.co/spaces/lerobot/robot-learning-tutorial)
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+ - **Paper:** [Robot Learning: A Tutorial](https://huggingface.co/papers/2510.12403)
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+ - **Code:** [https://github.com/fracapuano/robot-learning-tutorial](https://github.com/fracapuano/robot-learning-tutorial)
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+ - **License:** [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/)
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  ## Dataset Structure
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  }
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  ```
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  ## Citation
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  **BibTeX:**
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  ```bibtex
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+ @article{fracapuano2024robot,
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+ title={Robot Learning: A Tutorial},
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+ author={Fracapuano, Riccardo and Shafi, Hammad and Gu, Shuo and Abnar, Samira},
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+ journal={arXiv preprint arXiv:2510.12403},
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+ year={2024}
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+ }
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  ```