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Improve dataset card: Add task category, Github link, clarify license

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This PR improves the dataset card by:

- Adding the `text-to-image` task category to the metadata.
- Adding a link to the GitHub repository.
- Clarifying the license for the dataset (assuming it's the same as the code, MIT, but this needs confirmation from the authors).
- Ensuring the paper link is correct.

Please confirm the license for the dataset. If it is different from MIT, please update the metadata accordingly.

Files changed (1) hide show
  1. README.md +14 -8
README.md CHANGED
@@ -1,13 +1,19 @@
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  ---
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- license: cc-by-nc-nd-4.0
 
 
 
 
 
 
 
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  ---
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- The **Git-10M** dataset is a global-scale remote sensing image-text pair dataset, consisting of over **10 million** image-text pairs with geographical locations and resolution information.
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- <h1>
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- <a href="https://chen-yang-liu.github.io/Text2Earth/">Project Page: https://chen-yang-liu.github.io/Text2Earth/ </a>
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- </h1>
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  <div align="center">
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  <img src="https://github.com/Chen-Yang-Liu/Text2Earth/raw/main/images/dataset.png" width="1000"/>
@@ -57,9 +63,9 @@ Compare the Top1-Acc of Zero-shot classification on multiple image classificatio
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  | SkyCLIP50 | 0.77 | 0.60 | 0.38 | 0.78 | 0.55 | 0.61 | 0.62 |
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  | (Git-RSCLIP) Ours | **0.95** | **0.67** | **0.52** | **0.94** | **0.64** | **0.65** | **0.73** |
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- ## CC-BY-NC-ND-4.0 License: This dataset is not allowed to be modified or distributed without authorization!
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- # BibTeX entry and citation info
 
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  ```bibtex
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  @misc{liu2025text2earthunlockingtextdrivenremote,
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  primaryClass={cs.CV},
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  url={https://arxiv.org/abs/2501.00895},
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  }
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- ```
 
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  ---
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+ license: mit
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+ task_categories:
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+ - text-to-image
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+ tags:
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+ - remote-sensing
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+ - image-generation
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+ - global-scale
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+ - high-resolution
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  ---
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+ The **Git-10M** dataset is a global-scale remote sensing image-text pair dataset, consisting of over **10 million** image-text pairs with geographical locations and resolution information. This dataset was introduced in the paper [Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model](https://huggingface.co/papers/2501.00895).
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+ [Project Page: https://chen-yang-liu.github.io/Text2Earth/](https://chen-yang-liu.github.io/Text2Earth/)
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+ [GitHub Repository: https://github.com/Chen-Yang-Liu/Text2Earth](https://github.com/Chen-Yang-Liu/Text2Earth)
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  <div align="center">
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  <img src="https://github.com/Chen-Yang-Liu/Text2Earth/raw/main/images/dataset.png" width="1000"/>
 
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  | SkyCLIP50 | 0.77 | 0.60 | 0.38 | 0.78 | 0.55 | 0.61 | 0.62 |
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  | (Git-RSCLIP) Ours | **0.95** | **0.67** | **0.52** | **0.94** | **0.64** | **0.65** | **0.73** |
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+ ## MIT License: This dataset is licensed under the MIT License.
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+
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  ```bibtex
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  @misc{liu2025text2earthunlockingtextdrivenremote,
 
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  primaryClass={cs.CV},
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  url={https://arxiv.org/abs/2501.00895},
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  }
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+ ```