built timestamp[s] | master string | blends dict | models list | datasets list |
|---|---|---|---|---|
2026-10-27T00:00:00 | danielrosehill/Read-Aloud-Voice-Sentences | {
"cs": {
"line": "Jachnun (and the first Shakshuka runs)",
"rule": "code-switching rows, Daniel's own English (about 2/3 of the English share), LibriSpeech-PC replay, plus the task tags ['currency']"
},
"all": {
"line": "Sabich, Shakshuka v1.0+ and the Sabich variants",
"rule": "every row of the ... | [
{
"id": "danielrosehill/Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching",
"line": "Jachnun",
"version": "PoC-1",
"run": "pilot-en30",
"released": "2026-10-15T00:00:00",
"task": "speech-recognition",
"base": null,
"trained_on": [
"danielrosehill/Read-Aloud-Voice-Sentences"
... | [
{
"id": "danielrosehill/Read-Aloud-Voice-Sentences",
"title": "Read-Aloud Voice Sentences (master)",
"kind": "audio-takes",
"tag": null,
"description": "Every take from the capture app; all speech models train on a pinned revision of it, selected by blend. Gated.",
"in_blends": [
"cs",... |
Hebrish Dataset Index
An index of every public dataset in the Hebrish project and which models
were trained on what. Machine-readable: index.json. Generated by
scripts/build_dataset_index.py in the training repo; last built 2026-10-27.
- 56 datasets (39 published, the rest registered tasks whose subset appears once takes are recorded).
- 24 models.
How training data works here
Every take is recorded once, into the master dataset
danielrosehill/Read-Aloud-Voice-Sentences. The per-topic datasets (code-switching,
tech, acronyms, whispered, ...) are views of it, published for browsing and reuse. A speech model
trains on the master at a pinned revision, through a blend: a rule for which rows it takes.
in_blends on each dataset says which blends include its rows.
| Blend | Used by | Rule |
|---|---|---|
cs |
Jachnun (and the first Shakshuka runs) | code-switching rows, Daniel's own English (about 2/3 of the English share), LibriSpeech-PC replay, plus the task tags ['currency'] |
all |
Sabich, Shakshuka v1.0+ and the Sabich variants | every row of the master dataset at the run's revision, including every task tag present then, except ['name-cipher', 'paragraphs', 'weird-voices']; replay about 10%. From Sabich v2.1, priority-word takes (Hebrish/ASR-Error-List) appear 3 times. |
Models
| Model | Task | Data (blend @ revision, or dataset) | Source |
|---|---|---|---|
| Jachnun PoC-1 | speech-recognition | cs @ b31aeabb |
confirmed |
| Jachnun PoC-2 | speech-recognition | cs @ 3bdaa2a5 |
confirmed |
| Jachnun PoC-3 | speech-recognition | cs @ b4731062 |
confirmed |
| Jachnun PoC-4 | speech-recognition | cs @ 4fcca820 |
confirmed |
| Jachnun PoC-5 | speech-recognition | cs @ fcf5aec1 |
confirmed |
| Shakshuka PoC-1 | speech-recognition | cs @ fcf5aec1 |
confirmed |
| Jachnun v1.0 | speech-recognition | cs @ 550bfcaa |
confirmed |
| Shakshuka PoC-2 | speech-recognition | cs @ 550bfcaa |
confirmed |
| Sabich v1.0 | speech-recognition | all @ f956dbb1 |
confirmed |
| Shakshuka v1.0 | speech-recognition | all @ e918e381 |
confirmed |
| Sabich-Parakeet-110M v1.0 | speech-recognition | all @ e918e381 |
confirmed |
| Sabich-Qwen3-ASR-1.7B PoC | speech-recognition | all @ e918e381 |
confirmed |
| Sabich-Canary-Qwen-2.5B v1.0 | speech-recognition | all @ cf84f7e4 |
confirmed |
| Sabich-asr4all-M v1.0 | speech-recognition | all @ cf84f7e4 |
confirmed |
| Sabich-asr4all-S v1.0 | speech-recognition | all @ cf84f7e4 |
confirmed |
| Sabich v2.0 | speech-recognition | all @ 110d144a |
confirmed |
| Shakshuka v2.0 | speech-recognition | all @ 110d144a |
confirmed |
| Sabich v2.1 | speech-recognition | all @ 2cec2ebc |
confirmed |
| Meorav v2.1 | text-to-speech | Hebrish/Hebrish-TTS-Voice-Recordings |
confirmed |
| Meorav v2.0 | text-to-speech | Hebrish/Hebrish-TTS-Voice-Recordings |
confirmed |
| Meorav PoC-1 | text-to-speech | Hebrish/Hebrish-TTS-Voice-Recordings |
confirmed |
| Whisper-Hebrish v2 | speech-recognition | danielrosehill/Read-Aloud-Voice-Sentences |
confirmed |
| Whisper-Hebrish small, ACFT | speech-recognition | danielrosehill/Read-Aloud-Voice-Sentences |
confirmed |
| Token classifier v1 | token-classification | Hebrish/hebrew-latin-code-switching |
confirmed |
Every recording is one speaker's voice (Daniel Rosehill). He sometimes changes his speaking speed on purpose and sometimes says a word the way people commonly mispronounce it; the transcript is always the sentence as written.
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