Update README.md

README.md

@@ -21,7 +21,7 @@ import pandas as pd
 dataset = {}
 ids = {}
 #danbooru 2021
-#download 'rsync --recursive --verbose rsync://176.9.41.242:873/danbooru2021/metadata/ ./'
+#download 'rsync --recursive --verbose rsync://176.9.41.242:873/danbooru2021/metadata/ ./metadata'
 json_data = []
 for i in range(0,12):
     print(i)
@@ -37,6 +37,7 @@ for i in json_data:
         key = -idx
         idx += 1
     ids[key] = i['tag_string'].replace(' ',', ').replace('_',' ')
+del json_data
 
 #danbooru 2022
 #download https://huggingface.co/datasets/animelover/danbooru2022
@@ -46,14 +47,22 @@ for idx,i in enumerate(os.listdir('./danbooru2022/')):
     for j in glob.glob(f'./danbooru2022/{i}/*.txt'):
         path.append(j)
 
-for i,p in enumerate(path):
-    if i % 1000 == 0:
-        print(i)
-    name = p.split('/')[-1].split('.')[0]
-    with open(p, "r") as f:
-        ids[int(name)] = f.readline()
-            
-del json_data
+def load_data(path):
+    name = int(path.split('/')[-1].split('.')[0])
+    with open(path, "r") as f:
+        data = f.readline()
+    return name,data
+
+with concurrent.futures.ThreadPoolExecutor(max_workers=16) as executor:
+    future_to_path = {executor.submit(load_data, p): p for p in path}
+    for idx,future in enumerate(concurrent.futures.as_completed(future_to_path)):
+        if idx % 1000 == 0:
+            print(idx)
+        path = future_to_path[future]
+        name,data = future.result()
+        ids[name] = data
+
+#preprocess
 dataset['tags'] = ids
 dataset = pd.DataFrame(dataset)
 
@@ -63,6 +72,6 @@ for i in range(len(dataset)):
         print(i)
     tags = dataset.iloc[i]['tags'].split(', ')
     dataset.iloc[i] = ', '.join([tag for tag in tags if tag not in bad_tags])
-
+# save
 dataset.to_parquet('tags.parquet')
 ```