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Farsi Youtube 2024 ASR Dataset
This dataset consists of over 385 hours of transcribed audio extracted from various YouTube videos in the Persian language (more than 400k rows).
Dataset Description
The dataset includes Farsi content from various types of videos spanning from older productions up to mid-2024, including:
- Podcasts
- TV Shows
- Educational Content
- Interviews
- Documentaries
Utterances and sentences are extracted based on the timing of subtitles.
The list of videos used in this dataset is stored in the yt_ids.csv file as follows:
13XpMM7RT2c 20231207 سرگذشت پُل پوت هیولای کامبوج و رهبر خمرهای سرخ
yU6LtnpVKLo 20231210 راز بزرگترین جاسوس عرب|بیوگرافی اشرف مروان
b9cTFkO6Q18 20231214 دقیقا چه اتفاقی افتاده؟ بالاخره توی این درگیری کی پیروز شد؟ 7 -27 نوامبر
wW76xHcxw48 20231217 حقایق شنیده نشده درباره نجات دنیا از جنگ هسته ای!
pr1dNDD6viM 20231123 افشای زندگی صدام حسین! | قسمت دوم
...
Note
This dataset contains raw, unvalidated auto-generated transcriptions. Transcriptions may include inaccuracies due to mal-transcriptions, and timing may occasionally be imprecise. Many efforts have been made to cleanse the data using various methods and software. Users are advised to:
- Perform their own quality assessment
- Create their own train/validation/test splits based on their specific needs
- Validate a subset of the data if needed for their use case
For validating the data you can use AnnoTitan, which is a crowdsourcing app developed for such ASR data.
Usage
Huggingface datasets library:
from datasets import load_dataset
dataset = load_dataset('PerSets/youtube-persian-asr', trust_remote_code=True)
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