| --- |
| license: cc-by-4.0 |
| pretty_name: Hebrish Dataset Index |
| tags: [hebrish, asr, code-switching, index] |
| configs: |
| - config_name: default |
| data_files: index.json |
| --- |
| |
| # Hebrish Dataset Index |
|
|
| An index of every public dataset in the [Hebrish](https://hebrish.app) project and which models |
| were trained on what. Machine-readable: [`index.json`](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`](https://huggingface.co/datasets/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. |
|
|
