Update README.md

README.md

@@ -44,13 +44,27 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+tags:
+- heatmap
+- t2i
+- human
+- feedback
+- rich
+- annotation
+- open-image-preferences
+license: apache-2.0
+language:
+- en
+pretty_name: Text to image - Rich Annotation
+size_categories:
+- 10K<n<100K
 ---
 <a href="https://www.rapidata.ai">
 <img src="https://cdn-uploads.huggingface.co/production/uploads/66f5624c42b853e73e0738eb/jfxR79bOztqaC6_yNNnGU.jpeg" width="250" alt="Rapidata Logo">
 </a>
 
 Building upon Google's research [Rich Human Feedback for Text-to-Image Generation](https://arxiv.org/abs/2312.10240), and the 
-[smaller, previous version of this dataset](https://huggingface.co/datasets/Rapidata/text-2-image-Rich-Human-Feedback), we have collected over 3.7 million responses from 307'415 individual humans using Rapidata via the [Python API](https://docs.rapidata.ai/). Collection took less than 2 weeks. 
+[smaller, previous version of this dataset](https://huggingface.co/datasets/Rapidata/text-2-image-Rich-Human-Feedback), we have collected over 3.7 million responses from 307'415 individual humans for the [open-image-preference-v1](https://huggingface.co/datasets/data-is-better-together/open-image-preferences-v1) dataset using Rapidata via the [Python API](https://docs.rapidata.ai/). Collection took less than 2 weeks.
 
 If you get value from this dataset and would like to see more in the future, please consider liking it ♥️
 
@@ -187,7 +201,7 @@ Users identified words from the prompts that were NOT accurately depicted in the
 ## 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 at least 21 responses indicating the level of coherence on a scale of 1-5, which were then averaged to produce the final scores where 5 indicates the highest coherence.
 
-Images scoring below 3.8 in coherence were further evaluated, with participants marking specific errors in the image.
+Images scoring below 3.5 in coherence were further evaluated, with participants marking specific errors in the image.
 
 ### Example Results:
 
@@ -417,4 +431,4 @@ For researchers interested in producing their own rich preference dataset, you c
   
   order.run()
   ```
-</details>
+</details>