{"url":"/dataset/youtube-subtitles","name":"YouTube Subtitles","full_name":null,"description_markdown":"**YT_subtitles** is a remarkable tool designed for building a dataset from YouTube subtitles. Let me break it down for you:\r\n\r\n1. **Purpose**: The primary goal of this tool is to extract **non-machine-generated** subtitles from YouTube videos. These subtitles are obtained by searching for specific terms and collecting the relevant video content.\r\n\r\n2. **How It Works**:\r\n    - You provide a list of search terms (such as \"movie review,\" \"GPT-3,\" or \"true crime documentary\").\r\n    - The tool retrieves videos related to these search terms.\r\n    - For each video, it extracts the subtitles (in various languages) and organizes them into minute-by-minute segments.\r\n    - The resulting files contain a string of text per language, with the language name included as a header.\r\n\r\n3. **Dataset Format**:\r\n    - The dataset is stored in a **JSONL** (JSON Lines) file format.\r\n    - Each entry corresponds to a minute of subtitles, with language-specific content.\r\n    - If only one language is available, the output consists of a plain text version of the subtitles without additional metadata.\r\n\r\n4. **Use Cases**:\r\n    - Researchers and developers can utilize this dataset to enhance the multilingual performance of language models.\r\n    - It's particularly valuable for training models that work with diverse languages and real-world video content.\r\n\r\n(1) sdtblck/youtube_subtitle_dataset: YT_subtitles - GitHub. https://github.com/sdtblck/youtube_subtitle_dataset.\r\n(2) Youtubean Dataset | Papers With Code. https://paperswithcode.com/dataset/youtubean.\r\n(3) youtube subtitles | Kaggle. https://www.kaggle.com/datasets/wadzim/youtube-subtitles.\r\n(4) YouTube-8M Segments Dataset - Google Research. https://research.google.com/youtube8m/.","description_withheld":null,"homepage":"https://github.com/sdtblck/youtube_subtitle_dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["YouTube Subtitles"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}