| --- |
| 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 |
|
|
