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)