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Event Transcripts

Instructions for Transcribers

  1. Pick a video to transcribe (if the column Transcriber has a ?, that means it needs a transcriber.)
  2. You can start with the given YouTube preliminary text.

Requirements

  • 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.

Good Examples

Here are some examples of transcripts that are well-edited:

  1. scikit-learn Pull Request Example: 2020/06-reshama-shaikh-sklearn-pr.md
  2. 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

Submitting Edits

You can submit edits in either of these formats:

  1. Pull Request: Use a code editor and submit a PR (Markdown file).
  2. 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.

Transcribing

  • 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.

Notes

  • 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

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