Update README.md

README.md

@@ -42,29 +42,37 @@ Each thread contains a user’s trails to create one target image. We hope this
 
 <!-- Provide the basic links for the dataset. -->
 - **Repository:** https://github.com/shachardon/Mid-Journey-to-alignment
-- **Paper [optional]:** https://arxiv.org/abs/2311.12131
+- **Paper:** https://arxiv.org/abs/2311.12131
 
-## Uses
-
-<!-- Address questions around how the dataset is intended to be used. -->
-
-### Direct Use
-
-<!-- This section describes suitable use cases for the dataset. -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
-
-[More Information Needed]
 
 ## Dataset Structure
 
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
 
-[More Information Needed]
+Main Columns:
+'text' - the original prompt
+'args' - predefined parameters (such as the aspect ratio, chaos and [more][myexample])
+'channel_id' - the discord channel
+'userid' - an anonymous user id
+'timestamp' - a timestamp of the prompt creation
+'label' - Ture whether an image that was generated based on that prompt was upscaled, otherwise False.
+'id' - unique id of the prompt
+'url_png' - like to the generated images (a 4-grid version)
+'main_content' - prefix of the prompt, without trailing magic-words
+'concreteness' - concreteness score, based on the [this paper][concpaper] 
+'repeat_words' - the occurrences of each word that appears more than once in the prompt, excluding stop words.
+'perplexity' - the perplexity GPT-2 assigns to each prompt.
+'word_len' - the number of words
+'caption_0-3' - captions that were generated by the BLIP-2 model
+'phase' - train/test split, as was used to train image/text classifiers
+'magic_ratio' - the percentage of words that were recognized as magic words in the prompt
+'thread_id' - the id of the thread
+'depth' - the max depth of a constituency parse tree of the prompt.
+
+
+
+[myexample]: https://docs.midjourney.com/docs/parameter-list "markdown more"
+[concpaper]: https://link.springer.com/article/10.3758/s13428-013-0403-5 "markdown this paper"
 
 ## Dataset Creation