Hebrish: English-Hebrew code-switching
Collection
Every Hebrish model, dataset and Space, including those still on danielrosehill. hebrish.app • 35 items • Updated
Datasets:
id stringclasses 3
values | file_name stringclasses 3
values | date timestamp[s]date 2026-10-26 00:00:00 2026-10-26 00:00:00 | time stringclasses 3
values | title stringclasses 3
values | category stringclasses 3
values | tags listlengths 4 6 | speaker stringclasses 1
value | language stringclasses 1
value | transcript stringclasses 3
values |
|---|---|---|---|---|---|---|---|---|---|
2026-10-26-152336 | audio/2026-10-26_improvement-note-1_15-23-36.mp3 | 2026-10-26T00:00:00 | 15:23:36 | The Ideas dataset (meta-idea) | Dataset design | [
"ideas",
"meta-idea",
"dataset-design",
"capture-app"
] | Daniel Rosehill | en | This is a voice note I'm recording while I'm working on my voice note collection app for training data for my fine tunes, which is essentially whenever I have a spare moment, I'm just sending in some clips here and there. I've been trying to mix up recordings that were done at home, in different rooms, friends' places,... |
2026-10-26-153216 | audio/2026-10-26_improvement-note-2_15-32-16.mp3 | 2026-10-26T00:00:00 | 15:32:16 | Annotation design and the training plan | Annotation and training | [
"annotation",
"noise",
"background-conversation",
"background-music",
"training-plan",
"vocab-queue"
] | Daniel Rosehill | en | All right, so this is the second part of my notes for the dataset collection improvement that I was in the middle of there. If I go in some settings where I'm out and about and I'm collecting my voice notes, which are going to be tagged according to whether they're tech vocab, code-switching, as the case may be, probab... |
2026-10-26-155219 | audio/2026-10-26_improvement-note-3_15-52-19.mp3 | 2026-10-26T00:00:00 | 15:52:19 | Technical ideas to explore | Technical ideas | [
"noisy-speech",
"cross-lingual",
"speaker-verification",
"feasibility"
] | Daniel Rosehill | en | I have an idea maybe we can categorize these notes. I'm speaking to you, Claude Code, or I will be speaking to you, this is for your attention. We can categorize this dataset of ideas and decompose them into categories, and maybe each one can be decomposed into sections, but an idea came to me in the grocery store ther... |
Hebrish Improvement Notes
Voice notes of ideas and incremental-improvement notes for the Hebrish fine-tune project and its recording app, captured in the moment and transcribed. Not training data: this dataset records what to improve and why, so the thinking behind the datasets, the annotation design and the training plans is kept in the open alongside the models.
Each row is one voice note: the original audio (audio/*.mp3) and its transcript, with a short
title, a category and tags. Later notes may supersede earlier ones — these are iterations.
Website: hebrish.app: get the Hebrish keyboard for Android and the desktop apps, see the results, and find every model, dataset and demo in one place.
Columns
| Column | Meaning |
|---|---|
id |
stable id (YYYY-MM-DD-HHMMSS, the recording time) |
file_name |
the audio file (MP3) |
date, time |
when the note was recorded |
title |
short descriptive title |
category |
grouped subject: Dataset design · Annotation and training · Technical ideas |
tags |
free tags for the specific ideas in the note |
speaker, language |
speaker and spoken language of the recording |
transcript |
cleaned transcript (fillers and false starts removed, nothing paraphrased) |
Notes so far
| Date | Title | Category |
|---|---|---|
| 2026-10-26 | The Ideas dataset (meta-idea) | Dataset design |
| 2026-10-26 | Annotation design and the training plan | Annotation and training |
| 2026-10-26 | Technical ideas to explore | Technical ideas |
Speaker: Daniel Rosehill, the dataset's author, who speaks English with an Irish accent and lives in Jerusalem. Every recording is his voice.
How this dataset is meant to grow
The plan (described in the first note) is for the recording app used to collect the training data to gain an Ideas page: voice notes recorded there are pushed to this dataset rather than into the training sets, uploaded by a service worker, and transcribed with a Gemini Flash model (OpenRouter), with the transcript written back into the row. Until that exists, notes are added by hand.
Written by Claude.
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