README.md

metadata

license: cc-by-4.0
language:
  - en
task_categories:
  - automatic-speech-recognition
  - text-classification
  - token-classification
tags:
  - voice-notes
  - task-extraction
  - disfluency
  - long-form
  - real-speech
pretty_name: Annotated Voice Notes
size_categories:
  - n<1K

Annotated Voice Notes

A small, hand-picked set of real voice notes. It is kept small on purpose. Each note has its audio, a raw AssemblyAI transcript, and a written annotation that explains why it was included and what it is good for.

This is not a bulk corpus. Every recording was chosen because it shows something specific, such as tasks buried in rambling speech, heavy disfluency, or a long take. The annotation says what that is.

Fields

Field	Description
audio	The recording, in its original format (MP3)
id	Stable sample id (avn-NNNN)
title	Short description
recorded_at	ISO 8601 with offset
recording_context	How and where it was recorded
purposes	Machine-readable list of the uses it was included for
purpose_explanation	Why it is in the dataset
notes	Observations on structure, disfluencies and likely ASR errors
tags	Topic tags
duration_s, word_count	From the ASR output
transcript_raw	AssemblyAI output, uncorrected, with disfluencies kept
asr_engine, asr_settings	Model and settings that produced the transcript

Transcripts are raw. They are not corrected against the audio, so known and suspected ASR errors are listed in notes and left in the text.

Samples

id	Title	Length	Purposes
avn-0001	Apartment remaining-fixes walkthrough	22:19	task extraction, disfluency, long-form

Purposes vocabulary

• task_extraction: tasks expressed loosely, not as a clean list
• disfluency: fillers, false starts, self-corrections, restarts
• long_form_task_recording: several minutes of continuous task-bearing speech