Update index

README.md

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+---
+license: cc-by-4.0
+pretty_name: Fritter Training Sources
+tags: [index, speech, asr, tts, fritter]
+configs:
+  - config_name: sources
+    data_files: sources.jsonl
+    default: true
+  - config_name: releases
+    data_files: releases.jsonl
+---
+
+<img src="fritter-icon-256.png" width="96" alt="Fritter icon">
+
+# Fritter Training Sources
+
+An index of the datasets the [Fritter](https://huggingface.co/Fritter-ASR) speech models are trained on. It holds
+no audio; each row links to the dataset itself.
+
+- **`sources`**: every dataset involved and how Fritter uses it (`fritter_asr`: used, partial, not used, indirect).
+  All training audio comes from one primary dataset, [`danielrosehill/Read-Aloud-Voice-Sentences`](https://huggingface.co/datasets/danielrosehill/Read-Aloud-Voice-Sentences);
+  the topic datasets listed with it are subsets of it, there for browsing by topic.
+- **`releases`**: each published model version, its training run and the exact revision of the primary dataset it
+  was trained on.
+
+## How Fritter (ASR) is trained
+
+23 of 29 topic subsets are used. The training mix is the speaker's English takes that are not
+code-switching, with these tags left out: `israeli-places`, `israeli-streets`, `israeli-tv`, `israeli-names`, `tanach`, `biblical-verses`, `talmud`, `rabbinic-works`, `rabbis`, `halacha`, `name-cipher`, `paragraphs`, `weird-voices`. About 10% of each mix is LibriSpeech replay, so general
+English does not degrade. From v1.2 each release continues from the previous one on the new takes plus a
+sample of earlier ones.
+
+| Dataset | Fritter ASR | Takes | Hours |
+|---|---|---|---|
+| [`danielrosehill/Read-Aloud-Voice-Sentences`](https://huggingface.co/datasets/danielrosehill/Read-Aloud-Voice-Sentences) | used | 28,570 | 43.75 |
+| [`openslr/librispeech_asr`](https://huggingface.co/datasets/openslr/librispeech_asr) | used |  |  |
+| [`Hebrish/Acronym-Sentences`](https://huggingface.co/datasets/Hebrish/Acronym-Sentences) | used | 99 | 0.12 |
+| [`Hebrish/Background-Speech`](https://huggingface.co/datasets/Hebrish/Background-Speech) | used | 12 | 0.02 |
+| [`Hebrish/Brand-Name-Sentences`](https://huggingface.co/datasets/Hebrish/Brand-Name-Sentences) | used | 378 | 0.70 |
+| [`Hebrish/Currency-Sentences`](https://huggingface.co/datasets/Hebrish/Currency-Sentences) | used | 160 | 0.24 |
+| [`Hebrish/Disfluent-Read-Sentences`](https://huggingface.co/datasets/Hebrish/Disfluent-Read-Sentences) | used | 55 | 0.22 |
+| [`Hebrish/Expanded-Acronym-Sentences`](https://huggingface.co/datasets/Hebrish/Expanded-Acronym-Sentences) | used | 50 | 0.07 |
+| [`Hebrish/Hard-ASR-Sentences`](https://huggingface.co/datasets/Hebrish/Hard-ASR-Sentences) | used | 68 | 0.07 |
+| [`Hebrish/Irish-English-Sentences`](https://huggingface.co/datasets/Hebrish/Irish-English-Sentences) | used | 258 | 0.38 |
+| [`Hebrish/Noisy-Condition-Sentences`](https://huggingface.co/datasets/Hebrish/Noisy-Condition-Sentences) | used | 7,202 | 10.10 |
+| [`Hebrish/Pronunciation-Variants`](https://huggingface.co/datasets/Hebrish/Pronunciation-Variants) | used | 170 | 0.23 |
+| [`Hebrish/Repeated-Word-Sentences`](https://huggingface.co/datasets/Hebrish/Repeated-Word-Sentences) | used | 19 | 0.06 |
+| [`Hebrish/Self-Correction-Sentences`](https://huggingface.co/datasets/Hebrish/Self-Correction-Sentences) | used | 27 | 0.04 |
+| [`Hebrish/Singing-Sentences`](https://huggingface.co/datasets/Hebrish/Singing-Sentences) | used | 16 | 0.02 |
+| [`Hebrish/Spoken-Aside-Sentences`](https://huggingface.co/datasets/Hebrish/Spoken-Aside-Sentences) | used | 5 | 0.01 |
+| [`Hebrish/Whispered-Sentences`](https://huggingface.co/datasets/Hebrish/Whispered-Sentences) | used | 312 | 0.49 |
+| [`danielrosehill/AI-Interactions-Sentences`](https://huggingface.co/datasets/danielrosehill/AI-Interactions-Sentences) | used | 583 | 0.74 |
+| [`danielrosehill/General-English-Sentences`](https://huggingface.co/datasets/danielrosehill/General-English-Sentences) | used | 1,910 | 2.89 |
+| [`danielrosehill/Homophone-Context-Sentences`](https://huggingface.co/datasets/danielrosehill/Homophone-Context-Sentences) | used | 158 | 0.25 |
+| [`danielrosehill/Linux-Admin-Sentences`](https://huggingface.co/datasets/danielrosehill/Linux-Admin-Sentences) | used | 530 | 0.86 |
+| [`danielrosehill/Personal-Vocabulary-Sentences`](https://huggingface.co/datasets/danielrosehill/Personal-Vocabulary-Sentences) | used | 191 | 0.25 |
+| [`danielrosehill/Smart-Home-Sentences`](https://huggingface.co/datasets/danielrosehill/Smart-Home-Sentences) | used | 185 | 0.29 |
+| [`danielrosehill/Tech-Sentences`](https://huggingface.co/datasets/danielrosehill/Tech-Sentences) | used | 7,495 | 11.63 |
+| [`danielrosehill/Voice-Command-Sentences`](https://huggingface.co/datasets/danielrosehill/Voice-Command-Sentences) | used | 1,266 | 0.69 |
+| [`Hebrish/Israeli-Name-Sentences`](https://huggingface.co/datasets/Hebrish/Israeli-Name-Sentences) | not used | 117 | 0.17 |
+| [`Hebrish/Jewish-Religious-Terminology-Sentences`](https://huggingface.co/datasets/Hebrish/Jewish-Religious-Terminology-Sentences) | not used | 2,146 | 3.86 |
+| [`Hebrish/Judaica-Sentences`](https://huggingface.co/datasets/Hebrish/Judaica-Sentences) | not used | 772 | 1.46 |
+| [`Hebrish/Weird-Voice-Sentences`](https://huggingface.co/datasets/Hebrish/Weird-Voice-Sentences) | not used | 6 | 0.01 |
+| [`Hebrish/Yiddish-Sentences`](https://huggingface.co/datasets/Hebrish/Yiddish-Sentences) | partial | 348 | 0.55 |
+| [`danielrosehill/English-Hebrew-Codeswitching-Sentences`](https://huggingface.co/datasets/danielrosehill/English-Hebrew-Codeswitching-Sentences) | not used | 8,233 | 14.05 |
+
+Sizes measured 2026-11-08.
+
+## Releases
+
+| Model | Version | Run | Primary dataset revision |
+|---|---|---|---|
+| Fritter (ASR) | v1.0 | `r11-general` | `520e7506e379` |
+| Fritter (ASR) | v1.1 | `r25-general` | `5ce184058554` |
+| Fritter (ASR) | v1.2 | `r30-general` | `306a7450433d` |
+| Fritter (ASR) | v1.3 | `r35-general` | `39f21d714103` |
+| Fritter TTS | v1 | `fritter-tts-v1` | not recorded |
+
+Generated by `scripts/fritter_training_sources.py` in the training repository. Regenerated after each release.

releases.jsonl

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+{"model": "Fritter (ASR)", "version": "v1.0", "run": "r11-general", "base_model": "nvidia/parakeet-tdt-0.6b-v2", "method": "full fine-tune from base on the cumulative dataset", "dataset": "danielrosehill/Read-Aloud-Voice-Sentences", "dataset_revision": "520e7506e379", "finished": "2026-10-27", "published_original": "https://huggingface.co/danielrosehill/Fritter", "published_org": "https://huggingface.co/Fritter-ASR/Fritter"}
+{"model": "Fritter (ASR)", "version": "v1.1", "run": "r25-general", "base_model": "nvidia/parakeet-tdt-0.6b-v2", "method": "full fine-tune from base on the cumulative dataset", "dataset": "danielrosehill/Read-Aloud-Voice-Sentences", "dataset_revision": "5ce184058554", "finished": "2026-11-03", "published_original": "https://huggingface.co/danielrosehill/Fritter", "published_org": "https://huggingface.co/Fritter-ASR/Fritter"}
+{"model": "Fritter (ASR)", "version": "v1.2", "run": "r30-general", "base_model": "nvidia/parakeet-tdt-0.6b-v2", "method": "delta continued fine-tune, first incremental Fritter", "dataset": "danielrosehill/Read-Aloud-Voice-Sentences", "dataset_revision": "306a7450433d99c5892ac62acdb54f54f94a717c", "finished": "2026-11-05T14:57:26+00:00", "published_original": "https://huggingface.co/danielrosehill/Fritter", "published_org": "https://huggingface.co/Fritter-ASR/Fritter"}
+{"model": "Fritter (ASR)", "version": "v1.3", "run": "r35-general", "base_model": "nvidia/parakeet-tdt-0.6b-v2", "method": "delta continued fine-tune, fresh optimizer", "dataset": "danielrosehill/Read-Aloud-Voice-Sentences", "dataset_revision": "39f21d71410306cd9d7a5b2b35b668f1284d5b6f", "finished": "2026-11-08T15:00:47+00:00", "published_original": "https://huggingface.co/danielrosehill/Fritter", "published_org": "https://huggingface.co/Fritter-ASR/Fritter"}
+{"model": "Fritter TTS", "version": "v1", "run": "fritter-tts-v1", "base_model": "Qwen/Qwen3-TTS-12Hz-1.7B-Base", "method": "full SFT from the base", "dataset": "danielrosehill/Read-Aloud-Voice-Sentences", "dataset_revision": null, "finished": "2026-11-09", "published_original": "https://huggingface.co/danielrosehill/Fritter-TTS", "published_org": "https://huggingface.co/Fritter-ASR/Fritter-TTS"}

sources.jsonl

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+{"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"}