- Pick a video to transcribe (if the column
Transcriber
has a?
, that means it needs a transcriber.) - You can start with the given YouTube preliminary text.
- Attention to details is very important requirement for this task.
- Good spelling and grammar is critical to this task.
- Being comfortable with reading, writing and listening to the English language is important for this task.
Here are some examples of transcripts that are well-edited:
- scikit-learn Pull Request Example: 2020/06-reshama-shaikh-sklearn-pr.md
- Emily Robinson Career Talk: 2020/10-emily-robinson-career.md
Here is what the raw markdown file looks like:
https://raw.githubusercontent.com/data-umbrella/event-transcripts/main/2020/06-reshama-shaikh-sklearn-pr.md
You can submit edits in either of these formats:
- Pull Request: Use a code editor and submit a PR (Markdown file).
- Google Doc: If you are unfamiliar with how to submit a PR, you can copy the text into a Google doc and edit it there and send back the link to the edited doc.
- For beginning of sentences, make them capital letters
- Example: when "i" as in "i think", can you change to capital letter: "I think ..."
- Break sections down into paragraphs (not one whole file)
- For the sections, add some timestamps, so people know where they can find it in the video? Breaking it down every 10 minutes or so is acceptable. (That would be 6 timestamps for a 1-hour talk.)
- Example of sub-section and timestamps
### Set Up Repository (3:46)
- Add period to the end of sentences.
- Fix spelling
- Example: PY Ladies ===> PyLadies
- Example: "data umbrella" ===> Data Umbrella
- Example: "reishmas" ===> Reshama
- When I did this, I listened to the video for a couple of sentences, and then stopped it. Then I edit the text and then I start the video again for another sentence or two.
- It can take a good 2 to 4 hours to edit a transcript for a 1-hour video.
- It is not necessary to include screenshots of slides.
# | Speaker | Talk Transcript | Note | Transcriber | Status |
---|---|---|---|---|---|
01 | Hugo Bowne-Anderson | Bayesian Data Science | no recording available | N/A | N/A |
02 | Bruno Goncalves | Time Series Modeling | no recording available | N/A | N/A |
03 | Ty Shaikh | Webscraping Poshmark | ? | ||
04 | Ali Spittel | Navigating Your Tech Career | Janine | ||
05 | Andreas Mueller | Crash Course in Contributing to Scikit-learn | Reshama | Complete | |
06 | Reshama Shaikh | Example PR for Scikit-learn | Reshama / Mark | Complete | |
07 | Shailvi Wakhlu | Fixing Bad Data and Using SQL | Juanita | ||
08 | Matt Brems | Data Science with Missing Data | ? | ||
09 | Sam Bail | Intro to Terminal | Isaack | Mark will submit PR | |
10 | Emily Robinson | Build a Career in Data Science | Kevin | Complete | |
11 | Rebecca Kelly | kdb Time Series Data | Coretta | ||
12 | Mridu Bhatnagar | Build a Bot | ? | ||
13 | Liz DiLuzio | Creating Nimble Data Processes | Lily | Complete | |
14 | Megan Robertson | 3 Lessons From 3 Years of Data Science | Sethupathy | Mark will submit PR | |
15 | Emma Gouillart | Data Visualization with Plotly | Willy | ||