|
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) |
