Update README.md

README.md

@@ -23,3 +23,14 @@ configs:
   - split: train
     path: data/train-*
 ---
+I forgot if this dataset is the dirty version of Reddit Writing Prompts or not, it's probably a mix of both.
+
+The data was filtered and classified using [Lilac](https://www.lilacml.com/) with two embedding models:
+- [jinaai/jina-embeddings-v2-base-en](https://huggingface.co/jinaai/jina-embeddings-v2-base-en)
+- [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3)
+
+(Note: Lilac is amazing BTW, and the UI is nice. Highly recommended for data processing tasks)
+
+The dataset has been converted to ShareGPT format, including word counts for responses and labeled perspectives. While the labeling may not be 100% accurate, ambiguous cases have been labeled separately with their perspectives excluded from the prompts.
+
+Non-story content has been removed, though some examples may have been missed. Some non-story content was purposefully kept if it was closely related to the prompt (like relevant responses) - it's a bit hard to draw a clear line sometimes. Stories containing unwanted words or sentences were filtered based on personal preferences. Since "slop" is subjective and lacks a standardized definition, you may need to perform additional cleaning before using this dataset for training.