crisishistory / crisishistory/HistoryAIToolkit

Record a brief oral history interview for testing

Open
#51 0 comments 0 reactions 0 assignees View on GitHub
hacktoberfest-accepted help wanted high priority
Dominant language
Python
Stars
13
Forks
18
PR merge metrics
No merged PRs in 30d

Description

I'm looking for 2 volunteers to record an audio oral history interview together. This is just for testing purposes, so we can have an audio file to experiment with.

One person would ask the other these questions:

* This is an interview I'm conducting for the History AI Toolkit project. The first thing I'd like to do is request your permission to make this interview public domain. By putting it in the public domain, it would be freely accessible and usable by anyone without any restrictions on its distribution, reproduction, or modification. As interviewer, I am giving my permission. Can I also have your permission as interviewee to put this interview in the public domain?
* What was your first computer at school, if any?
* (If appropriate) Can you recall your first experience writing a computer program at school?
* What was your first computer at home, if any?
* (If appropriate) Can you recall your first experience writing a computer program at home?

Tasks:

- [ ] Record the interview and save it as an audio file (wav or mp3)
- [ ] Sign up for a Kaggle account and upload it to the public Oral History Testing dataset (which I'll create shortly)
- [ ] Link to the audio file in the "Downloading the data" section of https://github.com/audreyfeldroy/HistoryAIToolkit/blob/main/docs/source/getting_started.rst

Contributor guide

Open the contributing guide

Research direction

Record the interview as a WAV or MP3, obtain public-domain permission, and upload it to the public Oral History Testing dataset on Kaggle after that dataset is created. Then update docs/source/getting_started.rst in the “Downloading the data” section with the audio-file link. Done means the dataset is publicly available and the getting-started documentation links to it.

Written by the indexing model from the issue text.

Assessment

Domain
audio-video-rtc, documentation
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.