howto100m
youtube_subs_howto100M
Dataset Card for youtube_subs_howto100M
Dataset Summary
The youtube_subs_howto100M dataset is an English-language dataset of instruction-response pairs extracted from 309136 YouTube videos. The dataset was orignally inspired by and sourced from the HowTo100M dataset, which was developed for natural language search for video clips.
Supported Tasks and Leaderboards
conversational: The dataset can be used to train a model for instruction(request) and a long form… See the full description on the dataset page: https://huggingface.co/datasets/totuta/youtube_subs_howto100M.howto100m_captions_with_verb_nounshowto100m
HowTo100M
105,128 videos (11721.4 GB) with 104,584 subtitle files, downloaded at source
quality and re-hosted for direct use — no more dead YouTube links, no more flaky
downloader scripts.
Coverage: 105,128 of the 1,238,911 source video IDs (8.5%). 19,160 source videos were unavailable at fetch time (private, removed, members-only or geo-blocked) and are excluded. The dataset is refreshed as more videos are delivered.
What's inside
metadata.jsonl — one row per… See the full description on the dataset page: https://huggingface.co/datasets/TornadoLabs/howto100m.howto100mHowTo100M is a large-scale dataset of narrated videos with an emphasis on instructional videos where content creators teach complex tasks with an explicit intention of explaining the visual content on screen. HowTo100M features a total of
- 136M video clips with captions sourced from 1.2M YouTube videos (15 years of video)
- 23k activities from domains such as cooking, hand crafting, personal care, gardening or fitness
Each video is associated with a narration available as subtitles automatically downloaded from YouTube.HowTo100M-subtitles-small
HowTo100M-subtitles-small
The subtitles from a subset of the HowTo100M dataset.
HowTo100M_llama3_refined_caption
📙 Overview
The metadata for HowTo100M. The original ASR is refined by LLAMA-3 language model.
Each sample represents a short video clip, which consists of
vid: the initial video id.
uid: a given unique id to index the clip.
start_second: the timestamp of the narration.
end_second: the end timestamp of the narration (which is simply set to start + 1).
text: the original ASR transcript.
noun: a list containing the index of nouns in the noun vocabulary.
verb: a list containing the… See the full description on the dataset page: https://huggingface.co/datasets/Jazzcharles/HowTo100M_llama3_refined_caption.