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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.
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
Usage
Huggingface datasets library:
from datasets import load_dataset
dataset = load_dataset('PerSets/youtube-persian-asr', trust_remote_code=True)
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