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