Update README.md

README.md

@@ -34,16 +34,6 @@ The dataset was introduced as part of the paper: [Human Learning by Model Feedba
 [ourpaper]: https://arxiv.org/abs/2311.12131 "markdown our paper"
 
 
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-## Dataset Details
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-### Dataset Description
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-<!-- Provide a longer summary of what this dataset is. -->
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-- **Language(s) (NLP):** English
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 ### Dataset Sources
 
 <!-- Provide the basic links for the dataset. -->
@@ -63,14 +53,14 @@ Main Columns:
 - '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)
+- 'url_png' - link 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
+- 'caption_0-3' - captions that were generated by the BLIP-2 model, with the 4 created images as its inputs.
 - '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