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from datasets import load_dataset
import tqdm
from xml.etree.ElementTree import ParseError
from youtube_transcript_api._errors import TranscriptsDisabled
import json
from youtube_transcript_api import YouTubeTranscriptApi
dataset = load_dataset("OpenGVLab/InternVid-Full")
video_id = set()
for idx, row in tqdm.tqdm(enumerate(dataset['train'])):
video_id.add(row['YoutubeID'])
if len(video_id) == 50000:
break
video_id_list = list(video_id)
def create_transcript(video_id, transcripts):
candidate = {}
candidate["video_id"] = video_id
candidate["transcripts"] = transcripts.to_raw_data()
return candidate
res = []
prev = ""
for video_id in tqdm.tqdm(video_id_list):
if video_id == prev:
print("sth is wrong")
retry = False
while True:
try:
ytt_api = YouTubeTranscriptApi()
transcript_list = ytt_api.list(video_id)
ok = False
for transcript in transcript_list:
if transcript.language == "en":
data = transcript.fetch()
print(f"English is available for this video: {video_id}")
res.append(create_transcript(video_id, data))
ok = True
break
if not ok:
for transcript in transcript_list:
if transcript.is_translatable:
data = transcript.translate('en').fetch()
print(f"[TRAN] Translated to English for {video_id}")
res.append(create_transcript(video_id, data))
ok = True
break
if not ok:
print(f"There is no English version for the video")
break
except ParseError as e:
if not retry:
print(f"[Retry] XML ParseError for {video_id}: {e}. Retrying...")
retry = True
continue
except TranscriptsDisabled as e:
print(f"[Skip ] TranscriptsDisabled for {video_id}. Skipping.")
break
except Exception as e:
# print( print(f"[Error] Unexpected error for {video_id}: {e}. Skipping."))
break
prev = video_id
# if candidate:
# res.append(candidate)
print(len(res))
with open("InternVid_1.json", "w") as f:
json.dump(res, f) |