Update README.md

README.md

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 language:
   - en
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-This dataset consists of a carefully curated collection of Creative Commons (CC0) images, combined with both synthetic and human-generated captions. It was assembled to facilitate the training of diffusion models with a focus on efficiency and ethical data practices. The dataset was compiled over several months, highlighting the dedication to responsible data collection and management.
-
+Microcosmos Dataset
+This dataset consists of a carefully curated collection of Creative Commons (CC0) images or similar, combined with both synthetic and human-generated captions. It was assembled to facilitate the training of diffusion models with a focus on efficiency and ethical data practices. The dataset was compiled over several months, highlighting the dedication to responsible data collection and management.
 Dataset Details
 Dataset Description
-Microcosmos is designed to train high-performance diffusion models with a smaller, yet diverse, dataset. It includes high-resolution 768x768 images sourced from various Creative Commons platforms. The images are complemented by a mix of synthetic and human-generated captions, providing a robust foundation for generating and evaluating images.
+Microcosmos is designed to train high-performance diffusion models using a smaller, yet diverse, dataset. It includes high-resolution 768x768 images sourced from various Creative Commons platforms. These images are complemented by a mix of synthetic and human-generated captions, providing a robust foundation for generating and evaluating images.
+
+Data Sources
+The images in this dataset have been sourced from the following platforms:
 
 Pexels: pexels.com
-LIBRESHOT: libreshot.com
 Unsplash: unsplash.com
-Pexels: pexels.com
 opengameart.org: opengameart.org
 Met Museum Open Access: metmuseum.org
 KissCC0: kisscc0.com
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-
-Language(s) (NLP): en
-License: Creative Commons CC0
+Language(s)
+NLP: English (en)
+License
+This dataset is licensed under Creative Commons CC0 1.0, allowing unrestricted use, distribution, and reproduction in any medium, provided the original source is credited.