Update README.md

README.md

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-Building upon Google's research [Rich Human Feedback for Text-to-Image Generation](https://arxiv.org/abs/2312.10240) we have collected over 1.5 million human responses using our [Python API](https://docs.rapidata.ai/)
+Building upon Google's research [Rich Human Feedback for Text-to-Image Generation](https://arxiv.org/abs/2312.10240) we have collected over 1.5 million responses from 152'684 individual humans using Rapidata via the [Python API](https://docs.rapidata.ai/)
 
 # Overview
-We asked humans to evaluate AI-generated images. For images that contained flaws, participants were asked to identify specific problematic areas. Additionally, for all images, participants identified words from the prompts that were not accurately represented in the generated images.
+We asked humans to evaluate AI-generated images in style, coherence and prompt alignment. For images that contained flaws, participants were asked to identify specific problematic areas. Additionally, for all images, participants identified words from the prompts that were not accurately represented in the generated images.
 
 # Word Scores
 Users identified words from the prompts that were NOT accurately depicted in the generated images. Higher word scores indicate poorer representation in the image. Participants also had the option to select "[No_mistakes]" for prompts where all elements were accurately depicted.
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 | <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/4uWKVjZBA5aX2YDUYNpdV.png" width="500"> | <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/f9JIuwDoNohy7EkDYILFm.png" width="500"> |
 
+
+# Coherence
+The coherence score measures whether the generated image is logically consistent and free from artifacts or visual glitches. Without seeing the original prompt, users were asked: "Look closely, does this image have weird errors, like senseless or malformed objects, incomprehensible details, or visual glitches?" Each image received 21 responses, which were aggregated on a scale of 1-5.
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+Images scoring below 3.8 in coherence were further evaluated, with participants marking specific errors in the image.
+
+### Example Results:
+
+| <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/sc-4ls9X0yO-hGN0VCDSX.png" width="500"> | <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/J77EmYp4oyRRakkcRnaF9.png" width="500"> |
+|---|---|
+| <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/mRDdoQdc4_iy2JcLhdI7J.png" width="500"> | <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/2N2KJyz4YOGT6N6tuUX8M.png" width="500"> |
+
+
 # Alignment
 The alignment score quantifies how well an image matches its prompt. Users were asked: "How well does the image match the description?" The final score is calculated on a scale of 1-5 by aggregating 21 responses.
 
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-# Coherence
-The coherence score measures whether the generated image is logically consistent and free from artifacts or visual glitches. Without seeing the original prompt, users were asked: "Look closely, does this image have weird errors, like senseless or malformed objects, incomprehensible details, or visual glitches?" Each image received 21 responses, which were aggregated on a scale of 1-5.
-
-Images scoring below 3.8 in coherence were further evaluated, with participants marking specific errors in the image.
-
-### Example Results:
-
-| <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/sc-4ls9X0yO-hGN0VCDSX.png" width="500"> | <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/J77EmYp4oyRRakkcRnaF9.png" width="500"> |
-|---|---|
-| <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/mRDdoQdc4_iy2JcLhdI7J.png" width="500"> | <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/2N2KJyz4YOGT6N6tuUX8M.png" width="500"> |
-
 # Style
 The style score reflects how visually appealing participants found each image, independent of the prompt. Users were asked: "How much do you like the way this image looks?" Each image received 21 responses, which were aggregated on a scale of 1-5.