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import pandas as pd
from tqdm import tqdm
import joblib
if __name__ == '__main__':
df_scores = pd.read_csv('../../AVA_src/AVA.txt',sep = " ",header = None)
df_scores.columns = df_scores.columns + 1
df_scores = df_scores.drop(columns=df_scores.columns[0], axis=1)
df_tags = pd.read_csv('../../AVA_src/tags.txt',sep = "|",header = None)
dict_tags = {0:'None'}
for row in df_tags.iterrows():
row = row[1]
dict_tags[row[0]] = row[1]
dict_ = {}
for idx in tqdm(range(len(df_scores))):
row = df_scores.iloc[idx,:]
_id = row[2]
ratings = row.values[1:11]
textual_tag0 = dict_tags[row[13]]
textual_tag1 = dict_tags[row[14]]
dict_[_id] = (ratings,textual_tag0,textual_tag1)
joblib.dump(dict_,"../data/metadata.pkl")
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