dataautogpt3 commited on
Commit
3a5662d
1 Parent(s): 202fcb6

Update download.py

Browse files
Files changed (1) hide show
  1. download.py +9 -13
download.py CHANGED
@@ -6,19 +6,15 @@ import pandas as pd
6
  from datasets import load_dataset
7
 
8
  def decode_and_save_images(df, output_dir):
9
- for i, row in df.iterrows():
10
- # Decode image
11
- image_data = base64.b64decode(row['image'])
12
  image = Image.open(io.BytesIO(image_data))
 
13
 
14
- # Save image
15
- image_filename = f"{output_dir}/image_{i}.png"
16
- image.save(image_filename)
17
-
18
- # Save caption
19
- caption_filename = f"{output_dir}/caption_{i}.txt"
20
- with open(caption_filename, 'w') as file:
21
- file.write(row['caption'])
22
 
23
  print(f"Saved Image and Caption {i}")
24
 
@@ -26,8 +22,8 @@ def main():
26
  # Load dataset from Hugging Face
27
  dataset = load_dataset("dataautogpt3/Dalle3")
28
 
29
- # Convert to Pandas DataFrame (assuming the dataset is in the first split)
30
- df = pd.DataFrame(dataset['train'])
31
 
32
  # Specify your desired output directory here
33
  output_dir = '/path/to/your/desired/output' # Replace with your specific path
 
6
  from datasets import load_dataset
7
 
8
  def decode_and_save_images(df, output_dir):
9
+ for i, (image_base64, caption) in enumerate(zip(df['image'], df['caption'])):
10
+ # Decode and save the image
11
+ image_data = base64.b64decode(image_base64)
12
  image = Image.open(io.BytesIO(image_data))
13
+ image.save(os.path.join(output_dir, f"image_{i}.png"))
14
 
15
+ # Save the caption
16
+ with open(os.path.join(output_dir, f"caption_{i}.txt"), 'w') as file:
17
+ file.write(caption)
 
 
 
 
 
18
 
19
  print(f"Saved Image and Caption {i}")
20
 
 
22
  # Load dataset from Hugging Face
23
  dataset = load_dataset("dataautogpt3/Dalle3")
24
 
25
+ # Assuming the first split contains the data
26
+ df = pd.DataFrame(dataset[next(iter(dataset))])
27
 
28
  # Specify your desired output directory here
29
  output_dir = '/path/to/your/desired/output' # Replace with your specific path