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