Dataset research report
Youtube Transcriptions research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
The YouTube transcriptions dataset contains technical tutorials (currently from James Briggs, Daniel Bourke, and AI Coffee Break) transcribed using OpenAI's Whisper (large). 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: https://huggingface.co/datasets/jamescalam/youtube-transcriptions.
Research Context
Youtube Transcriptions: 500 rows by 9 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.
Data Profile
Chart Evidence
These views are generated from the dataset profile. Each chart is paired with a Helix query so it can be opened, adjusted, and exported.
Follow-Up Queries
Preview Rows
| # | titletext | publishedtext | urltext | video_idtext | channel_idtext | idtext | texttext | startfloat |
|---|---|---|---|---|---|---|---|---|
| 1 | Training and Testing an Italian BERT - Transformers From Scratch #4 | 2021-07-06 13:00:03 UTC | https://youtu.be/35Pdoyi6ZoQ | 35Pdoyi6ZoQ | UCv83tO5cePwHMt1952IVVHw | 35Pdoyi6ZoQ-t0.0 | Hi, welcome to the video. | 0 |
| 2 | Training and Testing an Italian BERT - Transformers From Scratch #4 | 2021-07-06 13:00:03 UTC | https://youtu.be/35Pdoyi6ZoQ | 35Pdoyi6ZoQ | UCv83tO5cePwHMt1952IVVHw | 35Pdoyi6ZoQ-t3.0 | So this is the fourth video in a Transformers | 3 |
| 3 | Training and Testing an Italian BERT - Transformers From Scratch #4 | 2021-07-06 13:00:03 UTC | https://youtu.be/35Pdoyi6ZoQ | 35Pdoyi6ZoQ | UCv83tO5cePwHMt1952IVVHw | 35Pdoyi6ZoQ-t9.36 | from Scratch mini series. | 9.36 |
| 4 | Training and Testing an Italian BERT - Transformers From Scratch #4 | 2021-07-06 13:00:03 UTC | https://youtu.be/35Pdoyi6ZoQ | 35Pdoyi6ZoQ | UCv83tO5cePwHMt1952IVVHw | 35Pdoyi6ZoQ-t11.56 | So if you haven't been following along, | 11.56 |
| 5 | Training and Testing an Italian BERT - Transformers From Scratch #4 | 2021-07-06 13:00:03 UTC | https://youtu.be/35Pdoyi6ZoQ | 35Pdoyi6ZoQ | UCv83tO5cePwHMt1952IVVHw | 35Pdoyi6ZoQ-t15.84 | we've essentially covered what you can see on the screen. | 15.84 |
| 6 | Training and Testing an Italian BERT - Transformers From Scratch #4 | 2021-07-06 13:00:03 UTC | https://youtu.be/35Pdoyi6ZoQ | 35Pdoyi6ZoQ | UCv83tO5cePwHMt1952IVVHw | 35Pdoyi6ZoQ-t18.48 | So we got some data. | 18.48 |
Data Dictionary
- title categorical
- published categorical
- url categorical
- video_id categorical
- channel_id categorical
- id text
- text text
- start numeric
- end numeric
Method And Limits
- Load the catalog entry and preview rows from the processed dataset file.
- Infer numeric, categorical, time, and location fields from real columns.
- Generate a small set of defensive Plotly chart specifications from that profile.
- Expose each chart idea as a query link so the report can be rerun or exported in Helix.
This report is intentionally reproducible. It uses the local catalog metadata and generated chart specifications rather than claiming external conclusions beyond the dataset.