Create filter.py

filter.py

@@ -0,0 +1,22 @@
+from datasets import load_dataset
+import pandas as pd
+
+dataset = load_dataset("vivym/midjourney-prompts")
+
+df = dataset['train'].to_pandas()
+
+prompt_lengths = df['prompt'].str.len()
+p50 = prompt_lengths.quantile(0.90)
+p75 = prompt_lengths.quantile(1.0)
+
+filtered_df = df[(prompt_lengths > p50) & (prompt_lengths <= p75) & (df['style'] != 'niji') & (df['is_upscaled'] == True) & (df['version'] >= 5.0) & (df['version'] <= 5.2)]
+
+filtered_df = filtered_df.drop_duplicates(subset=['prompt'])
+
+print(f"Number of prompts after filtering and deduplication: {len(filtered_df)}")
+
+print("First few rows of the filtered dataset:")
+print(filtered_df.head())
+
+output_file = 'filtered_midjourney_prompts_80thpercentilelength.csv'
+filtered_df.to_csv(output_file, index=False)