Text · dataset · 2022
Youtube Transcriptions
Listed in Hugging Face Datasets
The YouTube transcriptions dataset contains technical tutorials (currently from James Briggs, Daniel Bourke, and AI Coffee Break) transcribed using OpenAI's Whisper (large).
Description
Each row represents roughly a sentence-length chunk of text alongside the video URL and timestamp. Note that each item in the dataset contains just a short chunk of text.
For most use cases you will likely need to merge multiple rows to create more substantial chunks of text, if you need to do that, this code snippet will… See the full description on the dataset page: huggingface.co/datasets/jamescalam/youtube-transcriptions.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/jamescalam/youtube-transcriptions ↗
landing page · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/jamescalam/youtube-transcriptions ↗
metadata API · from Hugging Face
Topics
- Stated by source
- audio · question answering · tabular · text · text retrieval · video · visual question answering
- From keywords
- Audio · Computer Science & AI · Video
- Inferred from text
- Artificial intelligence 70% · Text 75%
Provenance · 1 source records, 19 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | jamescalam/youtube-transcriptions | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].anzsrc:group:4602 | enrichment · Hugging Face | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].hf_modality:audio | source · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].hf_modality:tabular | source · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].hf_modality:text | source · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].hf_modality:video | source · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].local:modality:audio | mapping · Hugging Face | vocabulary-mapper@1.0.0 | keywords['speech'] |
| concepts[modality].local:modality:text | enrichment · Hugging Face | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | mapping · Hugging Face | vocabulary-mapper@1.0.0 | keywords['video'] |
| concepts[task].hf_task:question-answering | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| concepts[task].hf_task:text-retrieval | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| concepts[task].hf_task:visual-question-answering | source · Hugging Face | connector:huggingface@1.0.0 | /tags[task_categories:*] |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| license_text | source · Hugging Face | connector:huggingface@1.0.0 | |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |