Complete data preprocessing description

README.md

@@ -21,9 +21,9 @@ datasets:
 
 ## Fast Anime PromptGen
 
-The main model `pytorch_model.bin` is trained on **80K** anime tags, all with **up_score ≥ 8** and without the [blacklisted tags](./blacklist.txt), fetched from the [Safebooru API endpoint](https://safebooru.donmai.us/posts/random.json). 
-I didn't release the V1 model because it only generated gibberish prompts. After trying all means to correct that behavior, I eventually figured that the cause of the gibberish prompts is not from the model or training duration, but rather from the random usernames present in the training data. 
-Here's the complete [prompt preprocessing](./preprocess.py).
+The main model (`pytorch_model.bin`) is trained on **80K** anime tags, all with **up_score ≥ 8** and without the [blacklisted tags](./blacklist.txt), fetched from the [Safebooru API endpoint](https://safebooru.donmai.us/posts/random.json). 
+I didn't release the V1 model because it only generated gibberish prompts. After trying all means to correct that behavior, I eventually figured that the cause of the gibberish prompts is not from the model or training duration, but rather from the random usernames in the training data. 
+Here's the complete [prompt preprocessing algorithm](./preprocess.py).
 
 
 Todo: