Data Dictionary — metadata.csv
One row per clip. Multi-select columns are semicolon-separated (a;b;c). Booleans are the literals true / false. Empty cells mean "not annotated yet".
Schema version: noisy-voice-notes/1.2.0 (column schema_version in every row).
Identity
| Column |
Type |
Notes |
id |
string |
Primary key. Stable across releases. Joins to audio/<id>.mp3 and transcripts/<id>.md. |
uuid |
string |
Secondary stable identifier (UUIDv4). Useful when re-keying. |
title |
string |
Human title from the source app (voicenotes.com). May be empty. |
speaker |
string |
Always Daniel Rosehill. Single-speaker dataset — included so downstream code never has to assume. |
recorded_at |
ISO-8601 |
When the clip was originally recorded. |
duration_s |
float |
Clip duration in seconds. |
Audio quality — model scores (DNSMOS P.835)
Reference-free perceptual proxies. 1–5 scale. Computed locally with the Microsoft ONNX models.
| Column |
Type |
Notes |
BAK |
float |
Background-noise quality. Lower = noisier. |
SIG |
float |
Speech-signal quality. |
OVRL |
float |
Overall MOS-style score. |
noise_level |
int 1–5 |
Bucketed BAK. 5 = noisiest, 1 = cleanest. Thresholds: <1.5, <2.0, <2.5, <3.0, ≥3.0. |
Audio quality — human
| Column |
Type |
Notes |
audio_quality_rating |
int 1–3 | empty |
Subjective: 1 = bad, 2 = neutral, 3 = best. Empty = unrated. |
transcription_quality |
enum | empty |
One of excellent, good, fair, poor, unusable. Reflects the source ASR transcript, not the audio. |
Annotation — note content
| Column |
Type |
Notes |
note_types_multi |
multi-select |
Broad family labels. Keys: idea_brainstorm, note_to_self, todo_list, email_draft, prompt, development, technology_topic, health, meeting, feedback_bug, research, logging_record, content_draft, ai_agent, geo_cultural, misc. |
note_categories_multi |
multi-select |
Leaf categories under those families (e.g. journal-entry, to-do-list-home, podcast-prompt, mwp-prompt, bug-report). Full set lives in note_types.py in the source repo. |
subject_matter |
string |
Short freehand topic (e.g. "rsync to NAS"). |
mwp_prompt |
bool |
true if the clip is a "Morning Writing Prompt" / MWP-style prompt. Speaker shorthand. |
free_notes |
string |
Catch-all freehand annotation. |
Annotation — audio defects (multi-select)
audio_defects keys (semicolon-separated):
background_music, background_conversations, crying_baby, traffic_sounds, wind_noise, echo_reverb, phone_notification, hvac_fan, vehicle_interior, cafe_ambience, street_outdoor, multiple_speakers, breathing_mouth_noise, mic_handling, distortion_clipping, pet_animal, doors_dishes, mechanical_construction, keyboard_typing, tv_radio_broadcast, poor_quality_general.
This is the column that will grow most during the second annotation pass (background-noise tagging).
Annotation — non-intended audio (multi-select)
non_intended_audio keys: side_conversation, speaker_to_other, speaker_to_pet, false_start, environmental_speech, background_laughter, interruption, self_correction, thinking_aloud, filler_only.
Captures audio that ended up in the recording but wasn't meant to be the note (radio in the background, false starts, addressing someone else, etc.).
Annotation — language
| Column |
Type |
Notes |
languages |
multi-select |
Languages actually spoken by the speaker. Keys: english, hebrew. Defaults to english. |
hebrew_usage |
enum | empty |
Fine-grained Hebrew usage. One of none, place_names, single_words, code_switching, mostly_hebrew, all_hebrew. |
background_languages |
multi-select |
Other languages audible in the background. Keys: bg_arabic, bg_russian, bg_french, bg_spanish, bg_german, bg_yiddish, bg_other. |
Annotation — capture context
| Column |
Type |
Notes |
microphone |
enum | string |
phone (default), samson_q2u, other, unknown. May also contain a freehand string in future revisions. |
capture_location |
enum | string |
unknown (default), home, shuk_mahane_yehuda, or a freehand location string. |
preprocessed_audio |
bool |
true if the source app applied denoise / echo-cancel before this audio was exported. |
Transcript stats (auto-computed)
| Column |
Type |
Notes |
transcript_chars |
int |
Character count of the cleaned transcript body. |
transcript_words |
int |
Whitespace-tokenised word count. |
wpm |
float |
Words ÷ (duration / 60). Wall-clock — see active_wpm for a more honest figure. |
Acoustic features (auto-computed by enrich_hf_dataset.py)
| Column |
Notes |
sample_rate, channels, bitrate_kbps, codec, file_size_bytes |
File-level audio properties. |
rms_dbfs, peak_dbfs, crest_factor_db, dc_offset |
Loudness / dynamics. |
clipping_ratio |
Fraction of samples at ≥ -0.1 dBFS. |
silence_ratio, speech_ratio |
Energy-VAD silence vs speech proportion. |
active_speech_s |
speech_ratio * duration_s. |
active_wpm |
Words ÷ active speech seconds. More honest than wall-clock WPM. |
snr_db_estimate |
Median active-frame dBFS minus median silent-frame dBFS. |
spectral_centroid_hz, spectral_bandwidth_hz, spectral_rolloff_hz |
Mean spectral descriptors. |
zero_crossing_rate |
Mean ZCR. |
hnr_db_proxy |
Harmonic-to-noise proxy from HPSS energy ratio. |
Filesystem pointers
| Column |
Notes |
audio_relpath |
Path to the MP3 relative to the dataset root (audio/<id>.mp3). |
transcript_relpath |
Path to the transcript markdown relative to the dataset root (transcripts/<id>.md), or empty if no transcript was released. |
schema_version |
Pinned schema string. Consumers should branch on this. |
