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2026-11-08T00:00:00
danielrosehill
danielrosehill/Read-Aloud-Voice-Sentences
39f21d71410306cd9d7a5b2b35b668f1284d5b6f
{ "master_takes": 28570, "master_hours": 43.75, "daniel_hours": 43.725, "datasets": 36 }
{ "master": "every take; the superset of every subset", "subset": "rows copied from its parent's rows", "subset, superset": "a subset that other subsets sit inside", "standalone": "not a row copy of the master" }
[ { "id": "danielrosehill/Read-Aloud-Voice-Sentences", "account": "danielrosehill", "project": "Hebrish", "role": "master", "parent": null, "children": [ "Hebrish/Acronym-Sentences", "Hebrish/Brand-Name-Sentences", "Hebrish/Currency-Sentences", "Hebrish/Disfluent-Read-S...

Audio Dataset Index

Every audio dataset Daniel Rosehill publishes on Hugging Face, on this profile and in the Hebrish organisation (the name of the English-Hebrew speech project), as one tree: which dataset is a superset of which, which is a subset, and how many hours each holds. Sentence datasets (the text that is read aloud) are listed in Hebrish/Dataset-Index, which also maps datasets to models. Machine-readable: index.json and growth.csv.

43.75 hours, 28,570 takes in the master dataset, measured 2026-11-08 at revision 39f21d71 (18.1 h in the last 7 recording days).

Cumulative hours and hours per day

The tree

Every take is recorded once, into the master. Each subset is a copy of some of its parent's rows, so a subset's hours are already counted in its parent's: do not add the rows up. A dataset marked superset has subsets of its own.

Standalone (not row copies of the master): Hebrish-TTS-Voice-Recordings, English-Hebrew-Mixed-Sentences, Community-Voice-Contributions, Synthetic-Codeswitching-Voices-Pilot, Tech-Sentences-For-ASR-Training, Wake-Words.

All audio datasets

Dataset Account Project Role Subset of Hours Takes Access
Read-Aloud-Voice-Sentences danielrosehill Hebrish master 43.8 28,570 gated
English-Hebrew-Codeswitching-Sentences danielrosehill Hebrish subset, superset Read-Aloud-Voice-Sentences 14.1 8,233 gated
Jewish-Religious-Terminology-Sentences Hebrish Hebrish subset English-Hebrew-Codeswitching-Sentences 3.9 2,146 gated
Israeli-Name-Sentences Hebrish Hebrish subset English-Hebrew-Codeswitching-Sentences 0.2 117 gated
Tech-Sentences danielrosehill Hebrish subset, superset Read-Aloud-Voice-Sentences 11.6 7,495 open
Linux-Admin-Sentences danielrosehill Hebrish subset Tech-Sentences 0.9 530 open
AI-Interactions-Sentences danielrosehill Hebrish subset Tech-Sentences 0.7 583 open
Smart-Home-Sentences danielrosehill Hebrish subset Tech-Sentences 0.3 185 open
Noisy-Condition-Sentences Hebrish Hebrish subset, superset Read-Aloud-Voice-Sentences 10.1 7,202 gated
Background-Speech Hebrish Hebrish subset Noisy-Condition-Sentences 0.0 12 open
General-English-Sentences danielrosehill Hebrish subset, superset Read-Aloud-Voice-Sentences 2.9 1,910 open
Homophone-Context-Sentences danielrosehill Hebrish subset General-English-Sentences 0.2 158 open
Judaica-Sentences Hebrish Hebrish subset, superset Read-Aloud-Voice-Sentences 1.5 772 open
Brand-Name-Sentences Hebrish Hebrish subset Read-Aloud-Voice-Sentences 0.7 378 gated
Voice-Command-Sentences danielrosehill Hebrish subset Read-Aloud-Voice-Sentences 0.7 1,266 open
Yiddish-Sentences Hebrish Hebrish subset Read-Aloud-Voice-Sentences 0.6 348 gated
Whispered-Sentences Hebrish Hebrish subset Read-Aloud-Voice-Sentences 0.5 312 open
Irish-English-Sentences Hebrish Hebrish subset Read-Aloud-Voice-Sentences 0.4 258 gated
Personal-Vocabulary-Sentences danielrosehill Hebrish subset Read-Aloud-Voice-Sentences 0.2 191 open
Currency-Sentences Hebrish Hebrish subset Read-Aloud-Voice-Sentences 0.2 160 gated
Pronunciation-Variants Hebrish Hebrish subset Read-Aloud-Voice-Sentences 0.2 170 gated
Disfluent-Read-Sentences Hebrish Hebrish subset Read-Aloud-Voice-Sentences 0.2 55 gated
Acronym-Sentences Hebrish Hebrish subset Read-Aloud-Voice-Sentences 0.1 99 open
Hard-ASR-Sentences Hebrish Hebrish subset Read-Aloud-Voice-Sentences 0.1 68 gated
Expanded-Acronym-Sentences Hebrish Hebrish subset Read-Aloud-Voice-Sentences 0.1 50 gated
Repeated-Word-Sentences Hebrish Hebrish subset Read-Aloud-Voice-Sentences 0.1 19 gated
Self-Correction-Sentences Hebrish Hebrish subset Read-Aloud-Voice-Sentences 0.0 27 open
Singing-Sentences Hebrish Hebrish subset Read-Aloud-Voice-Sentences 0.0 16 open
Spoken-Aside-Sentences Hebrish Hebrish subset Read-Aloud-Voice-Sentences 0.0 5 open
Weird-Voice-Sentences Hebrish Hebrish subset Read-Aloud-Voice-Sentences 0.0 6 open
Hebrish-TTS-Voice-Recordings Hebrish Hebrish standalone gated
English-Hebrew-Mixed-Sentences Hebrish Hebrish standalone gated
Community-Voice-Contributions Hebrish Hebrish standalone open
Synthetic-Codeswitching-Voices-Pilot Hebrish Hebrish standalone open
Tech-Sentences-For-ASR-Training danielrosehill Hebrish standalone open
Wake-Words danielrosehill Outside Hebrish standalone open

Hours are Daniel's takes by duration_s in the master. Standalone datasets are not measured here.

How it is built

scripts/dataset_hierarchy.py and scripts/build_audio_index.py in the training repository. The nesting is declared (a subset sits inside another subset only when its rule makes that hold, e.g. Linux admin inside tech) and then checked against the rows on the Hub; contained_in_parent in index.json is the measured share, where 1.0 means every row of the subset is in its parent's published copy (a value just below 1.0 means a copy is waiting for its next sync). Each dataset card carries the same Subset and Superset badges.
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