| {"dataset": "danielrosehill/Read-Aloud-Voice-Sentences", "role": "primary audio", "fritter_asr": "used", "fritter_tts": "used (screened subset)", "how": "All Fritter training rows come from this dataset: the speaker's non-code-switching takes, minus the excluded tags. Fritter-TTS uses takes that pass a quality screen.", "excluded_tags": ["israeli-places", "israeli-streets", "israeli-tv", "israeli-names", "tanach", "biblical-verses", "talmud", "rabbinic-works", "rabbis", "halacha", "name-cipher", "paragraphs", "weird-voices"], "takes": 28570, "hours": 43.75, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/danielrosehill/Read-Aloud-Voice-Sentences"} | |
| {"dataset": "openslr/librispeech_asr", "role": "replay (against forgetting)", "fritter_asr": "used", "fritter_tts": "not used", "how": "About 10% of each training mix: train.clean.100 clips with LibriSpeech-PC punctuated, cased transcripts.", "url": "https://huggingface.co/datasets/openslr/librispeech_asr"} | |
| {"dataset": "Hebrish/Acronym-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 99, "hours": 0.122, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Acronym-Sentences"} | |
| {"dataset": "Hebrish/Background-Speech", "role": "topic subset of the primary", "parent": "Hebrish/Noisy-Condition-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 12, "hours": 0.022, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Background-Speech"} | |
| {"dataset": "Hebrish/Brand-Name-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 378, "hours": 0.701, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Brand-Name-Sentences"} | |
| {"dataset": "Hebrish/Currency-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 160, "hours": 0.237, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Currency-Sentences"} | |
| {"dataset": "Hebrish/Disfluent-Read-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 55, "hours": 0.221, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Disfluent-Read-Sentences"} | |
| {"dataset": "Hebrish/Expanded-Acronym-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 50, "hours": 0.067, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Expanded-Acronym-Sentences"} | |
| {"dataset": "Hebrish/Hard-ASR-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 68, "hours": 0.073, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Hard-ASR-Sentences"} | |
| {"dataset": "Hebrish/Irish-English-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 258, "hours": 0.384, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Irish-English-Sentences"} | |
| {"dataset": "Hebrish/Noisy-Condition-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 7202, "hours": 10.098, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Noisy-Condition-Sentences"} | |
| {"dataset": "Hebrish/Pronunciation-Variants", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 170, "hours": 0.235, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Pronunciation-Variants"} | |
| {"dataset": "Hebrish/Repeated-Word-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 19, "hours": 0.063, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Repeated-Word-Sentences"} | |
| {"dataset": "Hebrish/Self-Correction-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 27, "hours": 0.045, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Self-Correction-Sentences"} | |
| {"dataset": "Hebrish/Singing-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 16, "hours": 0.023, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Singing-Sentences"} | |
| {"dataset": "Hebrish/Spoken-Aside-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 5, "hours": 0.013, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Spoken-Aside-Sentences"} | |
| {"dataset": "Hebrish/Whispered-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 312, "hours": 0.486, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Whispered-Sentences"} | |
| {"dataset": "danielrosehill/AI-Interactions-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Tech-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 583, "hours": 0.741, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/danielrosehill/AI-Interactions-Sentences"} | |
| {"dataset": "danielrosehill/General-English-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 1910, "hours": 2.886, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/danielrosehill/General-English-Sentences"} | |
| {"dataset": "danielrosehill/Homophone-Context-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/General-English-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 158, "hours": 0.246, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/danielrosehill/Homophone-Context-Sentences"} | |
| {"dataset": "danielrosehill/Linux-Admin-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Tech-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 530, "hours": 0.862, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/danielrosehill/Linux-Admin-Sentences"} | |
| {"dataset": "danielrosehill/Personal-Vocabulary-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 191, "hours": 0.247, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/danielrosehill/Personal-Vocabulary-Sentences"} | |
| {"dataset": "danielrosehill/Smart-Home-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Tech-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 185, "hours": 0.291, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/danielrosehill/Smart-Home-Sentences"} | |
| {"dataset": "danielrosehill/Tech-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 7495, "hours": 11.629, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/danielrosehill/Tech-Sentences"} | |
| {"dataset": "danielrosehill/Voice-Command-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "used", "fritter_tts": "via primary only", "how": "Its rows reach training through the primary dataset; listed for browsing by topic.", "takes": 1266, "hours": 0.69, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/danielrosehill/Voice-Command-Sentences"} | |
| {"dataset": "Hebrish/Israeli-Name-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/English-Hebrew-Codeswitching-Sentences", "fritter_asr": "not used", "fritter_tts": "via primary only", "how": "code-switching (tag israeli-names excluded)", "takes": 117, "hours": 0.173, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Israeli-Name-Sentences"} | |
| {"dataset": "Hebrish/Jewish-Religious-Terminology-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/English-Hebrew-Codeswitching-Sentences", "fritter_asr": "not used", "fritter_tts": "via primary only", "how": "code-switching", "takes": 2146, "hours": 3.861, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Jewish-Religious-Terminology-Sentences"} | |
| {"dataset": "Hebrish/Judaica-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "not used", "fritter_tts": "via primary only", "how": "romanized Hebrew (tags talmud, rabbinic-works, rabbis, halacha excluded)", "takes": 772, "hours": 1.461, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Judaica-Sentences"} | |
| {"dataset": "Hebrish/Weird-Voice-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "not used", "fritter_tts": "via primary only", "how": "held back from all training (tag weird-voices)", "takes": 6, "hours": 0.012, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Weird-Voice-Sentences"} | |
| {"dataset": "Hebrish/Yiddish-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "partial", "fritter_tts": "via primary only", "how": "only rows not detected as code-switching (unverified share)", "takes": 348, "hours": 0.551, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/Hebrish/Yiddish-Sentences"} | |
| {"dataset": "danielrosehill/English-Hebrew-Codeswitching-Sentences", "role": "topic subset of the primary", "parent": "danielrosehill/Read-Aloud-Voice-Sentences", "fritter_asr": "not used", "fritter_tts": "via primary only", "how": "code-switching; Fritter is English only", "takes": 8233, "hours": 14.05, "measured": "2026-11-08", "url": "https://huggingface.co/datasets/danielrosehill/English-Hebrew-Codeswitching-Sentences"} | |
| {"dataset": "Hebrish/Master-Sentence-Bank", "role": "prompt text (what was read aloud)", "fritter_asr": "indirect", "fritter_tts": "indirect", "how": "The sentences the speaker read; no audio.", "url": "https://huggingface.co/datasets/Hebrish/Master-Sentence-Bank"} | |