Datasets:
Card: Listen section (spoken project introduction, hebrish.app/updates, 2026-10-22)
9fd4a3d verified | license: cc-by-4.0 | |
| language: | |
| - en | |
| task_categories: | |
| - automatic-speech-recognition | |
| pretty_name: Expanded Acronym Sentences | |
| tags: | |
| - speech | |
| - asr | |
| - fine-tuning | |
| - single-speaker | |
| - expanded-acronyms | |
| - english | |
| size_categories: | |
| - n<1K | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train/** | |
| - split: test | |
| path: data/test/** | |
| # Expanded Acronym Sentences | |
| Chat and business shorthand said as letters by one speaker ("by E O D", "F Y I", "I M O") with the transcript writing it out in full ("by end of day", "For your information", "In my opinion"). `spoken_text` is the script with the abbreviation; `text` is the expanded target. 16 abbreviations (EOD, EOW, COB, FYI, BTW, FWIW, ICYMI, IMO, IMHO, AFAIK, IIRC, TBD, TBC, WFH, OOO, LMK), 6 sentences each. None of them appears as letters in the companion Acronym-Sentences set, so the two never contradict. `prompt_kind` is time, aside, opinion, status or request. | |
| **Website: [hebrish.app](https://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. | |
| **This is a subset of [`danielrosehill/Read-Aloud-Voice-Sentences`](https://huggingface.co/datasets/danielrosehill/Read-Aloud-Voice-Sentences)**, the full, undifferentiated | |
| dataset. It contains every phone recording there whose `categories` include `expanded-acronyms` (the capture app's task of that name). Rows are copied | |
| unchanged, with the same ids, columns and train/test split, by `scripts/sync_subsets.py` in the | |
| project repository. Do not edit this dataset directly: fix the row in the main dataset and re-sync. | |
| The subset grows as new takes are published. | |
| **Speaker:** Daniel Rosehill, the dataset's author, who was born in Ireland and speaks English with an **Irish accent**, and who lives in Jerusalem. Every recording is his voice. | |
| All audio was recorded on a **OnePlus Nord 3 5G** phone using its **internal microphone**, with browser echo cancellation, noise suppression and auto gain turned off. | |
| <!-- hebrish-listen:begin --> | |
| ## Listen: what Hebrish is and how it's made | |
| A spoken introduction to the project by the person who makes it: why Hebrish exists, why stock | |
| speech-to-text gets Hebrew words wrong, how the fine-tunes are trained, the model lines (Sabich, | |
| Jachnun, Shakshuka, Meorav), how the training data is recorded, and the plans for the apps. | |
| | | | | |
| | --- | --- | | |
| | Listen | [hebrish.app/updates](https://hebrish.app/updates): player, chapters, edited transcript, MP3 download | | |
| | Author | Daniel Rosehill | | |
| | Recorded | 2026-10-22 | | |
| | Runtime | 1:07:03 | | |
| Chapters (each opens the player at that point): | |
| [0:00](https://hebrish.app/updates#t=0) Why this voice note · | |
| [1:36](https://hebrish.app/updates#t=96) Coming to speech to text · | |
| [6:36](https://hebrish.app/updates#t=396) Why Hebrew words go wrong · | |
| [9:23](https://hebrish.app/updates#t=563) How the fine-tune works · | |
| [12:27](https://hebrish.app/updates#t=747) Why Parakeet, and the model plan · | |
| [17:44](https://hebrish.app/updates#t=1064) Disfluencies, shekels, paragraphs · | |
| [25:40](https://hebrish.app/updates#t=1540) Tech vocabulary and Meorav · | |
| [29:07](https://hebrish.app/updates#t=1747) The kitchen sink: Sabich and Jachnun · | |
| [33:35](https://hebrish.app/updates#t=2015) Licensing, accents, noisy recordings · | |
| [39:10](https://hebrish.app/updates#t=2350) One recorder for ASR and TTS · | |
| [41:04](https://hebrish.app/updates#t=2464) Desktop shortcuts and the macro pad · | |
| [43:34](https://hebrish.app/updates#t=2614) Android: Bluetooth and one button · | |
| [45:35](https://hebrish.app/updates#t=2735) Streaming and Shakshuka · | |
| [50:28](https://hebrish.app/updates#t=3028) Long-form transcription · | |
| [56:00](https://hebrish.app/updates#t=3360) Output modes · | |
| [63:01](https://hebrish.app/updates#t=3781) Report a word, and more voices | |
| <!-- hebrish-listen:end --> | |
| ## Layout | |
| ``` | |
| data/train/audio/<id>.wav 16 kHz mono 16-bit PCM | |
| data/train/metadata.jsonl | |
| data/test/... held-out set, never trained on | |
| ``` | |
| The `test` split is **term-disjoint**: a held-out term never appears in `train`. | |
| `load_dataset("Hebrish/Expanded-Acronym-Sentences")` works directly. | |
| ## Columns | |
| The columns are the same as in the main dataset: `text` (ground truth, punctuated and cased like | |
| Parakeet v2 output), `text_he` (the same transcript with its Hebrew terms in Hebrew script, for | |
| Hebrew-capable models), `categories`, `target_terms`, `prompt_source`, `prompt_origin` (manual / dataset / generated), `edited`, `duration_s`, | |
| `environment`, `conditions`, `device`, `speaker`, `speaker_gender`, `hebrew_pronunciation`, `variant_groups`, `variant_spelling` and `recorded_at`. The main dataset's card describes them. | |
| ## Licence | |
| CC-BY-4.0, with sentence-text attribution per `prompt_source` as described in the | |
| [main dataset's licence section](https://huggingface.co/datasets/danielrosehill/Read-Aloud-Voice-Sentences#licence-and-attribution). | |