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+ ## Video Augmented Texts Data
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+
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+ ### VATEX
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+
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+ Each video contains 10 captions. In `vatex.zip`, there are:
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+
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+ * `test/`: a folder containing all available videos
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+ * `vatex_public_test_english_v1.1.json`: JSON file containing all captions
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+
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+ Example data loading:
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+
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+ ```py
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+ import os
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+ import json
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+
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+ path = 'vatex_public_test_english_v1.1.json'
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+ d = json.load(open(path, 'r'))
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+
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+ captions = {v['videoID']: v['enCap'] for v in d}
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+
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+ for vname in captions:
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+ video_path = os.path.join('test', vname+'.mp4') # path to the video
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+ captions = captions[vname] # a list of 10 str
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+ ```
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+
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+ ### MSR-VTT
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+
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+ Each video contains 1 caption. There are two files for MSR-VTT:
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+
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+ * `MSRVTT.zip`: contains all videos
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+ * `MSRVTT_JSFUSION_test.csv`: contains all captions
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+
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+ Example data loading:
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+
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+ ```py
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+ import os
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+ import pandas as pd
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+
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+ path = 'MSRVTT_JSFUSION_test.csv'
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+ df = pd.read_csv(path)
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+
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+ vid_id_list = df['video_id'].tolist()
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+ caption_list = df['sentence'].tolist()
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+
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+ for vid_id, caption in zip(vid_id_list, caption_list):
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+ video_path = os.path.join('MSRVTT', 'videos', 'all', vid_id+'.mp4')
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+ captions = [caption] # a list of 1 str
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+ ```