Update README.md

README.md

@@ -53,22 +53,25 @@ 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.
-
+- '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] 
+- 'word_len' - the number of words
+- 'repeat_words' - the occurrences of each word that appears more than once in the prompt, excluding stop words.
+- 'reapeat_words_ratio' - repeat_words / word_len
+- 'perplexity' - the perplexity GPT-2 assigns to each prompt.
+- '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.
+- 'num_sent_parser' - the number of sentences in the prompt.
+- 'num_sent_parser_ratio' - num_sent_parser / word_len
+- 'words_per_sent' - word_len / num_sent_parser
 
 
 [myexample]: https://docs.midjourney.com/docs/parameter-list "markdown more"
@@ -78,7 +81,10 @@ Main Columns:
 
 ### Curation Rationale
 
-<!-- Motivation for the creation of this dataset. -->
+This dataset was introduced as part of the paper: [Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney][ourpaper].
+It contains real user prompts from interactions with the Midjourney Text-to-Image model. The prompts are organized into "threads of interaction", such that each thread contains a user's trails to create one target image.
+
+[ourpaper]: https://arxiv.org/abs/2311.12131 "markdown our paper"
 
 [More Information Needed]
 
@@ -92,27 +98,8 @@ We randomly choose one of the ``newbies'' channels, where both new and experienc
 #### Data Collection and Processing
 
 <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-
-
-#### Who are the source data producers?
-
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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-[More Information Needed]
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-### Annotations [optional]
-
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
-
-#### Annotation process
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-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
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-[More Information Needed]
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-#### Who are the annotators?
-
-<!-- This section describes the people or systems who created the annotations. -->
+We split the prompts into threads automatically, see the paper for more details.
+In addition, we extract features (perplexity, sentence length, and more).
 
 [More Information Needed]
 
@@ -152,21 +139,3 @@ We split the prompts into threads automatically, and therefore there are some mi
       primaryClass={cs.CL}
 }
 
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-## Glossary [optional]
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-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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-[More Information Needed]
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-## More Information [optional]
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-## Dataset Card Authors [optional]
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-[More Information Needed]
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-## Dataset Card Contact
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