| { |
| "built": "2026-10-27", |
| "master": "danielrosehill/Read-Aloud-Voice-Sentences", |
| "blends": { |
| "cs": { |
| "line": "Jachnun (and the first Shakshuka runs)", |
| "rule": "code-switching rows, Daniel's own English (about 2/3 of the English share), LibriSpeech-PC replay, plus the task tags ['currency']" |
| }, |
| "all": { |
| "line": "Sabich, Shakshuka v1.0+ and the Sabich variants", |
| "rule": "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": [ |
| { |
| "id": "danielrosehill/Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching", |
| "line": "Jachnun", |
| "version": "PoC-1", |
| "run": "pilot-en30", |
| "released": "2026-10-15", |
| "task": "speech-recognition", |
| "base": null, |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "cs", |
| "dataset_revision": "b31aeabb5edc", |
| "minutes": null, |
| "rows": null, |
| "evidence": "ASR-Training data/checkpoints.json (pilot-en30)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "danielrosehill/Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching", |
| "line": "Jachnun", |
| "version": "PoC-2", |
| "run": "r2-en30", |
| "released": "2026-10-15", |
| "task": "speech-recognition", |
| "base": null, |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "cs", |
| "dataset_revision": "3bdaa2a50d52", |
| "minutes": null, |
| "rows": null, |
| "evidence": "ASR-Training data/checkpoints.json (r2-en30)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "danielrosehill/Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching", |
| "line": "Jachnun", |
| "version": "PoC-3", |
| "run": "r3-en30", |
| "released": "2026-10-18", |
| "task": "speech-recognition", |
| "base": null, |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "cs", |
| "dataset_revision": "b47310621f79", |
| "minutes": null, |
| "rows": null, |
| "evidence": "ASR-Training data/checkpoints.json (r3-en30)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "danielrosehill/Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching", |
| "line": "Jachnun", |
| "version": "PoC-4", |
| "run": "r4-en30", |
| "released": "2026-10-18", |
| "task": "speech-recognition", |
| "base": null, |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "cs", |
| "dataset_revision": "4fcca820e0c2", |
| "minutes": null, |
| "rows": null, |
| "evidence": "ASR-Training data/checkpoints.json (r4-en30)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "danielrosehill/Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching", |
| "line": "Jachnun", |
| "version": "PoC-5", |
| "run": "r5-en30", |
| "released": "2026-10-18", |
| "task": "speech-recognition", |
| "base": "nvidia/parakeet-tdt-0.6b-v2", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "cs", |
| "dataset_revision": "fcf5aec16449", |
| "minutes": null, |
| "rows": null, |
| "evidence": "ASR-Training data/checkpoints.json (r5-en30)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Nemotron-Speech-Streaming-EN-0.6B-English-Hebrew-Codeswitching", |
| "line": "Shakshuka", |
| "version": "PoC-1", |
| "run": "r5-nemotron-en30", |
| "released": "2026-10-18", |
| "task": "speech-recognition", |
| "base": "nvidia/nemotron-speech-streaming-en-0.6b", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "cs", |
| "dataset_revision": "fcf5aec16449", |
| "minutes": null, |
| "rows": null, |
| "evidence": "ASR-Training data/checkpoints.json (r5-nemotron-en30)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "danielrosehill/Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching", |
| "line": "Jachnun", |
| "version": "v1.0", |
| "run": "r6-en30", |
| "released": "2026-10-19", |
| "task": "speech-recognition", |
| "base": "nvidia/parakeet-tdt-0.6b-v2", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "cs", |
| "dataset_revision": "550bfcaa0f84", |
| "minutes": null, |
| "rows": null, |
| "evidence": "ASR-Training data/checkpoints.json (r6-en30)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Nemotron-Speech-Streaming-EN-0.6B-English-Hebrew-Codeswitching", |
| "line": "Shakshuka", |
| "version": "PoC-2", |
| "run": "r6-nemotron-en30", |
| "released": "2026-10-19", |
| "task": "speech-recognition", |
| "base": "nvidia/nemotron-speech-streaming-en-0.6b", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "cs", |
| "dataset_revision": "550bfcaa0f84", |
| "minutes": null, |
| "rows": null, |
| "evidence": "ASR-Training data/checkpoints.json (r6-nemotron-en30)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Sabich", |
| "line": "Sabich", |
| "version": "v1.0", |
| "run": "r7-all", |
| "released": "2026-10-20", |
| "task": "speech-recognition", |
| "base": "nvidia/parakeet-tdt-0.6b-v2", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "all", |
| "dataset_revision": "f956dbb184c2", |
| "minutes": 623.0, |
| "rows": 5334, |
| "evidence": "ASR-Training data/checkpoints.json (r7-all)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Shakshuka", |
| "line": "Shakshuka", |
| "version": "v1.0", |
| "run": "r8-nemotron-all", |
| "released": "2026-10-21", |
| "task": "speech-recognition", |
| "base": "nvidia/nemotron-speech-streaming-en-0.6b", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "all", |
| "dataset_revision": "e918e381e831", |
| "minutes": 658.4, |
| "rows": 5634, |
| "evidence": "ASR-Training data/checkpoints.json (r8-nemotron-all)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Sabich-Parakeet-110M", |
| "line": "Sabich-Parakeet-110M", |
| "version": "v1.0", |
| "run": "r8-ctc110m-all", |
| "released": "2026-10-21", |
| "task": "speech-recognition", |
| "base": "nvidia/parakeet-tdt_ctc-110m", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "all", |
| "dataset_revision": "e918e381e831", |
| "minutes": 658.4, |
| "rows": 5634, |
| "evidence": "ASR-Training data/checkpoints.json (r8-ctc110m-all)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Sabich-Qwen3-ASR-1.7B", |
| "line": "Sabich-Qwen3-ASR-1.7B", |
| "version": "PoC", |
| "run": "q1-all", |
| "released": null, |
| "task": "speech-recognition", |
| "base": "Qwen/Qwen3-ASR-1.7B", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "all", |
| "dataset_revision": "e918e381e831", |
| "minutes": 658.4, |
| "rows": 5634, |
| "evidence": "ASR-Training data/checkpoints.json (q1-all)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Sabich-Canary-Qwen-2.5B", |
| "line": "Sabich-Canary-Qwen-2.5B", |
| "version": "v1.0", |
| "run": "cq1-all", |
| "released": "2026-10-21", |
| "task": "speech-recognition", |
| "base": "nvidia/canary-qwen-2.5b", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "all", |
| "dataset_revision": "cf84f7e45d78", |
| "minutes": 669.3, |
| "rows": 5752, |
| "evidence": "ASR-Training data/checkpoints.json (cq1-all)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Sabich-asr4all-M", |
| "line": "Sabich-asr4all-M", |
| "version": "v1.0", |
| "run": "a1-all", |
| "released": "2026-10-21", |
| "task": "speech-recognition", |
| "base": "futo-org/asr4all-m", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "all", |
| "dataset_revision": "cf84f7e45d78", |
| "minutes": 669.3, |
| "rows": 5752, |
| "evidence": "ASR-Training data/checkpoints.json (a1-all)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Sabich-asr4all-S", |
| "line": "Sabich-asr4all-S", |
| "version": "v1.0", |
| "run": "a1s-all", |
| "released": "2026-10-21", |
| "task": "speech-recognition", |
| "base": "futo-org/asr4all-s", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "all", |
| "dataset_revision": "cf84f7e45d78", |
| "minutes": 669.3, |
| "rows": 5752, |
| "evidence": "ASR-Training data/checkpoints.json (a1s-all)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Sabich", |
| "line": "Sabich", |
| "version": "v2.0", |
| "run": "r9-all", |
| "released": "2026-10-22", |
| "task": "speech-recognition", |
| "base": "nvidia/parakeet-tdt-0.6b-v2", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "all", |
| "dataset_revision": "110d144a0502", |
| "minutes": 713.9, |
| "rows": 6225, |
| "evidence": "ASR-Training data/checkpoints.json (r9-all)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Shakshuka", |
| "line": "Shakshuka", |
| "version": "v2.0", |
| "run": "r9-nemotron-all", |
| "released": "2026-10-22", |
| "task": "speech-recognition", |
| "base": "nvidia/nemotron-speech-streaming-en-0.6b", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "all", |
| "dataset_revision": "110d144a0502", |
| "minutes": 713.9, |
| "rows": 6225, |
| "evidence": "ASR-Training data/checkpoints.json (r9-nemotron-all)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Sabich", |
| "line": "Sabich", |
| "version": "v2.1", |
| "run": "r10-all", |
| "released": "2026-10-25", |
| "task": "speech-recognition", |
| "base": "nvidia/parakeet-tdt-0.6b-v2", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "blend": "all", |
| "dataset_revision": "2cec2ebc85e9", |
| "minutes": 848.4, |
| "rows": 7765, |
| "evidence": "ASR-Training data/checkpoints.json (r10-all)", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Meorav", |
| "line": "Meorav", |
| "version": "v2.1", |
| "released": "2026-10-22", |
| "task": "text-to-speech", |
| "base": "Qwen3-TTS", |
| "trained_on": [ |
| "Hebrish/Hebrish-TTS-Voice-Recordings" |
| ], |
| "data_note": "train split, 1,103 takes (v2.0 and v2.1)", |
| "evidence": "Hebrish/Meorav model card", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Meorav", |
| "line": "Meorav", |
| "version": "v2.0", |
| "released": "2026-10-22", |
| "task": "text-to-speech", |
| "base": "Qwen3-TTS", |
| "trained_on": [ |
| "Hebrish/Hebrish-TTS-Voice-Recordings" |
| ], |
| "data_note": "train split, 1,103 takes; replaced by v2.1 the same day", |
| "evidence": "Hebrish/Meorav model card", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/TTS-V1", |
| "line": "Meorav", |
| "version": "PoC-1", |
| "released": "2026-10-22", |
| "task": "text-to-speech", |
| "base": "Qwen3-TTS", |
| "trained_on": [ |
| "Hebrish/Hebrish-TTS-Voice-Recordings" |
| ], |
| "data_note": "657 read takes, 50 min after trimming (run first-test); the repo is no longer on the Hub (404 on 2026-10-27)", |
| "evidence": "Meorav-TTS README, model table", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "danielrosehill/Whisper-Hebrish", |
| "line": "Whisper-Hebrish", |
| "version": "v2", |
| "task": "speech-recognition", |
| "base": "openai/whisper-large-v3-turbo", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "data_note": "1,929 training rows / 215 min, mostly phone takes, 29% monolingual English; term-disjoint test split", |
| "evidence": "model card, 'What changed from v1'", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Whisper-Hebrish-Small-ACFT", |
| "line": "Whisper-Hebrish", |
| "version": "small, ACFT", |
| "task": "speech-recognition", |
| "base": "openai/whisper-small", |
| "trained_on": [ |
| "danielrosehill/Read-Aloud-Voice-Sentences" |
| ], |
| "data_note": "same 1,929 training clips and mix as Whisper-Hebrish v2", |
| "evidence": "model card, 'Training'", |
| "confidence": "confirmed" |
| }, |
| { |
| "id": "Hebrish/Hebrew-Latin-Token-Classifier", |
| "line": "Token classifier", |
| "version": "v1", |
| "task": "token-classification", |
| "trained_on": [ |
| "Hebrish/hebrew-latin-code-switching" |
| ], |
| "data_note": "4,737 sentences; marks the romanized Hebrew words in English text (TTS chain)", |
| "evidence": "model card", |
| "confidence": "confirmed" |
| } |
| ], |
| "datasets": [ |
| { |
| "id": "danielrosehill/Read-Aloud-Voice-Sentences", |
| "title": "Read-Aloud Voice Sentences (master)", |
| "kind": "audio-takes", |
| "tag": null, |
| "description": "Every take from the capture app; all speech models train on a pinned revision of it, selected by blend. Gated.", |
| "in_blends": [ |
| "cs", |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/danielrosehill/Read-Aloud-Voice-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "danielrosehill/English-Hebrew-Codeswitching-Sentences", |
| "title": "English-Hebrew Code-Switching Sentences", |
| "kind": "audio-takes", |
| "tag": "code_switch", |
| "description": "English sentences with everyday Hebrew words and Israeli names written in Latin letters, read aloud by one English speaker living in Israel", |
| "in_blends": [ |
| "cs", |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/danielrosehill/English-Hebrew-Codeswitching-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "danielrosehill/Tech-Sentences", |
| "title": "Tech Sentences", |
| "kind": "audio-takes", |
| "tag": "tech", |
| "description": "Dictation-style English sentences dense in software, DevOps, cloud, self-hosting and AI vocabulary (product names, CLI tools, acronyms, model names), read aloud by one speaker", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/danielrosehill/Tech-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "danielrosehill/AI-Interactions-Sentences", |
| "title": "AI Interactions Sentences", |
| "kind": "audio-takes", |
| "tag": "ai_interactions", |
| "description": "Instructions dictated to AI coding agents (Claude Code, Codex and others) and the git and GitHub workflow around them, read aloud by one speaker: subagents, worktrees, compaction, plan mode, hooks, MCP servers, pull requests, rebases", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/danielrosehill/AI-Interactions-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "danielrosehill/Linux-Admin-Sentences", |
| "title": "Linux Admin Sentences", |
| "kind": "audio-takes", |
| "tag": "linux", |
| "description": "Dictation-style English sentences about Linux desktop and server administration (KDE Plasma, GNOME, systemd, storage, networking, homelab), read aloud by one speaker", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/danielrosehill/Linux-Admin-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "danielrosehill/Smart-Home-Sentences", |
| "title": "Smart Home Sentences", |
| "kind": "audio-takes", |
| "tag": "smart_home", |
| "description": "Dictation-style English sentences about home automation (Home Assistant, Zigbee, Z-Wave, Matter, Thread, ESPHome, MQTT and device brands), read aloud by one speaker", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/danielrosehill/Smart-Home-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "danielrosehill/Personal-Vocabulary-Sentences", |
| "title": "Personal Vocabulary Sentences", |
| "kind": "audio-takes", |
| "tag": "personal", |
| "description": "English sentences built around names a speech model gets wrong for one speaker: his own name, his company and his project names (Daniel Rosehill, DSR Holdings, Carrot Cake AI, the podcast My Weird Prompts and its hosts Corn and Herman Poppl", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/danielrosehill/Personal-Vocabulary-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "danielrosehill/Homophone-Context-Sentences", |
| "title": "Homophone Context Sentences", |
| "kind": "audio-takes", |
| "tag": "homophone", |
| "description": "English sentences whose context settles which spelling of a homophone is meant (their/there, principal/principle, and 58 more sets), read aloud by one speaker", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/danielrosehill/Homophone-Context-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Yiddish-Sentences", |
| "title": "Yiddish Sentences", |
| "kind": "audio-takes", |
| "tag": "yiddish", |
| "description": "English sentences with Yiddish words written in Latin letters (shul, daven, cholent, mensch, freier, tachles), the way English speakers in Israel use them, read aloud by one speaker", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Yiddish-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Jewish-Religious-Terminology-Sentences", |
| "title": "Jewish Religious Terminology Sentences", |
| "kind": "audio-takes", |
| "tag": "religious", |
| "description": "English sentences with Jewish religious vocabulary written in Latin letters: Shabbat and the festivals, prayer and the synagogue, Torah portions, Talmud and halacha, kashrut, and life-cycle events, read aloud by one speaker", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Jewish-Religious-Terminology-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "danielrosehill/General-English-Sentences", |
| "title": "General English Sentences", |
| "kind": "audio-takes", |
| "tag": "general", |
| "description": "Plain, everyday English sentences (emails, messages, general prose and homophone pairs) read aloud by one speaker, with no Hebrew or Yiddish words, Israeli names or tech vocabulary", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/danielrosehill/General-English-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Noisy-Condition-Sentences", |
| "title": "Noisy Condition Sentences", |
| "kind": "audio-takes", |
| "tag": "noisy", |
| "description": "Every take from the main dataset recorded in noise, whatever its category: outdoors, in a noisy room, with traffic, other people talking, background noise or a crying baby", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Noisy-Condition-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Disfluent-Read-Sentences", |
| "title": "Disfluent Read Sentences", |
| "kind": "audio-takes", |
| "tag": "disfluency", |
| "description": "Experimental", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Disfluent-Read-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Self-Correction-Sentences", |
| "title": "Self-Correction Sentences", |
| "kind": "audio-takes", |
| "tag": "self-corrections", |
| "description": "One speaker correcting himself mid-sentence (\"send it Tuesday, no, Wednesday\")", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Self-Correction-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Spoken-Aside-Sentences", |
| "title": "Spoken Aside Sentences", |
| "kind": "audio-takes", |
| "tag": "asides", |
| "description": "One speaker dictating a sentence and, partway through, saying something to someone in the room (\"come in, Hannah\")", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Spoken-Aside-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Hard-ASR-Sentences", |
| "title": "Hard ASR Sentences", |
| "kind": "audio-takes", |
| "tag": "hard-asr", |
| "description": "English sentences speech recognition finds hard, read by one speaker: Harvard sentences (IEEE 1969, public domain), tongue twisters, homographs, garden-path sentences, rare words, dense numbers and units, unusual proper nouns", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Hard-ASR-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Brand-Name-Sentences", |
| "title": "Brand Name Sentences", |
| "kind": "audio-takes", |
| "tag": "brand-names", |
| "description": "Natural sentences with company, product, AI model and open-source project names (Anthropic, OpenRouter, Amazon Bedrock, Qwen, Kubernetes, Nginx) read by one speaker, written in each name's official form", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Brand-Name-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Acronym-Sentences", |
| "title": "Acronym Sentences", |
| "kind": "audio-takes", |
| "tag": "acronyms", |
| "description": "Natural sentences with acronyms read by one speaker, both spelled out (API, SSH, HTTPS) and said as words (NASA, JSON, YAML), each in its standard written form", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Acronym-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Irish-English-Sentences", |
| "title": "Irish English Sentences", |
| "kind": "audio-takes", |
| "tag": "irish-english", |
| "description": "Everyday sentences in Irish English read by one speaker born in Ireland: vocabulary (craic, grand, giving out, press, messages), grammar (I'm after doing it, so it is, ye), Irish-language words used in English (Taoiseach, Dáil, Gardaí, slái", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Irish-English-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Repeated-Word-Sentences", |
| "title": "Repeated Word Sentences", |
| "kind": "audio-takes", |
| "tag": "repetitions", |
| "description": "Experimental", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Repeated-Word-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Singing-Sentences", |
| "title": "Singing Sentences", |
| "kind": "audio-takes", |
| "tag": "singing", |
| "description": "Experimental", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Singing-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Weird-Voice-Sentences", |
| "title": "Weird Voice Sentences", |
| "kind": "audio-takes", |
| "tag": "weird-voices", |
| "description": "Experimental", |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Weird-Voice-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Currency-Sentences", |
| "title": "Currency Sentences", |
| "kind": "audio-takes", |
| "tag": "currency", |
| "description": "One speaker saying amounts of money the natural way (\"50 shekels\", \"a dollar fifty\", \"6 pounds 50\")", |
| "in_blends": [ |
| "cs", |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Currency-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Paragraph-Dictation-Passages", |
| "title": "Paragraph Dictation Passages", |
| "kind": "audio-takes", |
| "tag": "paragraphs", |
| "description": "Experimental", |
| "in_blends": [], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/Paragraph-Dictation-Passages" |
| }, |
| { |
| "id": "Hebrish/Expanded-Acronym-Sentences", |
| "title": "Expanded Acronym Sentences", |
| "kind": "audio-takes", |
| "tag": "expanded-acronyms", |
| "description": "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\")", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Expanded-Acronym-Sentences", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/Procurement-Sentences", |
| "title": "Procurement Sentences", |
| "kind": "audio-takes", |
| "tag": "procurement", |
| "description": "Business sentences with purchasing and trade vocabulary read by one speaker: Incoterms 2020 (EXW, FCA, FOB, CIF, DDP, …) with their named place, purchase orders, RFQs, RFPs, invoices, bills of lading, MOQs, lead times, payment terms, freigh", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/Procurement-Sentences" |
| }, |
| { |
| "id": "Hebrish/Hardware-Sentences", |
| "title": "Hardware Sentences", |
| "kind": "audio-takes", |
| "tag": "hardware", |
| "description": "Short workshop and DIY sentences with hardware vocabulary read by one speaker: electronic components (capacitors, resistors, transistors, MOSFETs, regulators), fasteners and fixings (M3 and M4 screws, standoffs, wall anchors, Torx), connect", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/Hardware-Sentences" |
| }, |
| { |
| "id": "Hebrish/Israeli-Business-Sentences", |
| "title": "Israeli Business Sentences", |
| "kind": "audio-takes", |
| "tag": "israeli-businesses", |
| "description": "Everyday English sentences naming Israeli businesses read by one speaker: banks and insurers, supermarket and electronics chains, telecoms, food brands, cafes and public services, in the Latin spelling each uses itself (Hazi Hinam, Bank Yah", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/Israeli-Business-Sentences" |
| }, |
| { |
| "id": "Hebrish/Idiom-Sentences", |
| "title": "Idiom Sentences", |
| "kind": "audio-takes", |
| "tag": "idioms", |
| "description": "Natural sentences with English idioms that speech recognition tends to spell as a sound-alike (\"free rein\", not \"free reign\"; \"toe the line\", not \"tow\"; \"piqued my interest\"), read by one speaker, written in the standard form", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/Idiom-Sentences" |
| }, |
| { |
| "id": "Hebrish/Name-Cipher-Sentences", |
| "title": "Name Cipher Sentences", |
| "kind": "audio-takes", |
| "tag": "name-cipher", |
| "description": "Experimental, a privacy (PII obfuscation) test", |
| "in_blends": [], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/Name-Cipher-Sentences" |
| }, |
| { |
| "id": "Hebrish/Numerics-Sentences", |
| "title": "Numerics Sentences", |
| "kind": "audio-takes", |
| "tag": "numerics", |
| "description": "Every kind of number that is not money, said by one speaker in a fixed way and written the way it is typed: the same number said several ways (\"thirteen hundred\", \"one thousand three hundred\" → 1,300), decimals, temperatures (written \"27 de", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/Numerics-Sentences" |
| }, |
| { |
| "id": "Hebrish/Fast-Speech-Sentences", |
| "title": "Fast Speech Sentences", |
| "kind": "audio-takes", |
| "tag": "fast-speech", |
| "description": "Robustness data", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/Fast-Speech-Sentences" |
| }, |
| { |
| "id": "Hebrish/Whispered-Sentences", |
| "title": "Whispered Sentences", |
| "kind": "audio-takes", |
| "tag": "whispered", |
| "description": "Experimental robustness data", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/Whispered-Sentences" |
| }, |
| { |
| "id": "Hebrish/Web-Address-Sentences", |
| "title": "Web Address Sentences", |
| "kind": "audio-takes", |
| "tag": "web-addresses", |
| "description": "One speaker saying web addresses aloud (\"hebrish dot app slash benchmarks\", \"h t t p s colon slash slash\", \"localhost colon three thousand\"), with the transcript writing them as typed: `hebrish.app/benchmarks`, `https://`, `localhost:3000`", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/Web-Address-Sentences" |
| }, |
| { |
| "id": "Hebrish/Spelled-Out-Sentences", |
| "title": "Spelled-Out Sentences", |
| "kind": "audio-takes", |
| "tag": "spelled-out", |
| "description": "One speaker spelling names, words and codes letter by letter in dictation (\"my surname is B R E N N A N\"), with the transcript writing the word the letters spell (`My surname is Brennan.`); codes as typed, uppercase letters and digits (`KQ7", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/Spelled-Out-Sentences" |
| }, |
| { |
| "id": "Hebrish/False-Start-Sentences", |
| "title": "False-Start Sentences", |
| "kind": "audio-takes", |
| "tag": "false-starts", |
| "description": "Experimental", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/False-Start-Sentences" |
| }, |
| { |
| "id": "Hebrish/NATO-Alphabet-Sentences", |
| "title": "NATO Alphabet Sentences", |
| "kind": "audio-takes", |
| "tag": "nato-alphabet", |
| "description": "Experimental", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/NATO-Alphabet-Sentences" |
| }, |
| { |
| "id": "Hebrish/Latin-Phrase-Sentences", |
| "title": "Latin Phrase Sentences", |
| "kind": "audio-takes", |
| "tag": "latin-phrases", |
| "description": "One speaker reading English sentences that use a Latin phrase (de facto, ad hominem, de minimis, bona fide, ad nauseam, per se, quid pro quo), with the phrase in its standard English spelling: lowercase, no italics, no hyphen (`ad hoc`, `po", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/Latin-Phrase-Sentences" |
| }, |
| { |
| "id": "Hebrish/Fragment-Sentences", |
| "title": "Fragment Sentences", |
| "kind": "audio-takes", |
| "tag": "fragments", |
| "description": "One speaker reading short and incomplete utterances, one to six words: message replies (\"Not yet.\"), single words (\"Apparently.\"), notes to self (\"Dentist, Thursday morning.\"), list items, headings, trailing clauses (\"Unless it rains.\") and", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/Fragment-Sentences" |
| }, |
| { |
| "id": "Hebrish/Entity-Dense-Sentences", |
| "title": "Entity-Dense Sentences", |
| "kind": "audio-takes", |
| "tag": "entity-dense", |
| "description": "One speaker reading sentences that pack three or more entities into one line: company and product names, people, places, amounts, percentages, dates, times and quantities, in the style of results calls, meeting recaps, itineraries, invoices", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/Entity-Dense-Sentences" |
| }, |
| { |
| "id": "Hebrish/Spoken-Punctuation-Sentences", |
| "title": "Spoken Punctuation Sentences", |
| "kind": "audio-takes", |
| "tag": "spoken-punctuation", |
| "description": "Experimental", |
| "in_blends": [ |
| "all" |
| ], |
| "status": "planned", |
| "url": "https://huggingface.co/datasets/Hebrish/Spoken-Punctuation-Sentences" |
| }, |
| { |
| "id": "Hebrish/English-Hebrew-Codeswitching-ASR-Benchmark", |
| "kind": "benchmark", |
| "description": "Held-out test sets (v1, v2) the models are scored on; never trained on.", |
| "training": "never (evaluation only)", |
| "title": "English Hebrew Codeswitching ASR Benchmark", |
| "tag": null, |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/English-Hebrew-Codeswitching-ASR-Benchmark", |
| "last_modified": "2026-10-25" |
| }, |
| { |
| "id": "Hebrish/ASR-Error-List", |
| "kind": "error-list", |
| "description": "Words the models mishear in Daniel's own dictation, with the wrong forms; drives the capture app's priority words. Sabich v2.1 repeated its takes 3 times.", |
| "training": "via the master dataset's priority-word takes", |
| "title": "ASR Error List", |
| "tag": null, |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/ASR-Error-List", |
| "last_modified": "2026-10-27" |
| }, |
| { |
| "id": "Hebrish/ASR-Error-Prediction", |
| "kind": "error-list", |
| "description": "Predicted mistranscription candidates for planning new sentences.", |
| "training": "never", |
| "title": "ASR Error Prediction", |
| "tag": null, |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/ASR-Error-Prediction", |
| "last_modified": "2026-10-25" |
| }, |
| { |
| "id": "Hebrish/Hebrish-TTS-Voice-Recordings", |
| "kind": "audio-takes", |
| "description": "Clean read takes for the Meorav voice (text-to-speech), a filtered view of the capture app's voice-clone takes.", |
| "training": "Meorav", |
| "title": "Hebrish TTS Voice Recordings", |
| "tag": null, |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Hebrish-TTS-Voice-Recordings", |
| "last_modified": "2026-10-22" |
| }, |
| { |
| "id": "Hebrish/English-Hebrew-Mixed-Sentences", |
| "kind": "sentence-text", |
| "description": "The code-switching sentence bank the capture app serves (text only).", |
| "training": "prompts for recordings, not audio", |
| "title": "English Hebrew Mixed Sentences", |
| "tag": null, |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/English-Hebrew-Mixed-Sentences", |
| "last_modified": "2026-10-22" |
| }, |
| { |
| "id": "Hebrish/hebrew-latin-code-switching", |
| "kind": "sentence-text", |
| "description": "Sentences with romanized Hebrew words labelled, for the token classifier.", |
| "training": "Hebrew-Latin token classifier", |
| "title": "hebrew latin code switching", |
| "tag": null, |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/hebrew-latin-code-switching", |
| "last_modified": "2026-10-22" |
| }, |
| { |
| "id": "Hebrish/Linux-Admin-Sentence-Bank", |
| "kind": "sentence-text", |
| "description": "Linux administration sentence bank (text only).", |
| "training": "prompts for recordings, not audio", |
| "title": "Linux Admin Sentence Bank", |
| "tag": null, |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Linux-Admin-Sentence-Bank", |
| "last_modified": "2026-10-22" |
| }, |
| { |
| "id": "Hebrish/Smart-Home-Sentence-Bank", |
| "kind": "sentence-text", |
| "description": "Smart-home sentence bank (text only).", |
| "training": "prompts for recordings, not audio", |
| "title": "Smart Home Sentence Bank", |
| "tag": null, |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Smart-Home-Sentence-Bank", |
| "last_modified": "2026-10-22" |
| }, |
| { |
| "id": "Hebrish/Personal-Vocabulary-Sentence-Bank", |
| "kind": "sentence-text", |
| "description": "Personal vocabulary sentence bank (text only).", |
| "training": "prompts for recordings, not audio", |
| "title": "Personal Vocabulary Sentence Bank", |
| "tag": null, |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Personal-Vocabulary-Sentence-Bank", |
| "last_modified": "2026-10-26" |
| }, |
| { |
| "id": "Hebrish/AI-Tech-Vocabulary-Sentence-Bank", |
| "kind": "sentence-text", |
| "description": "AI and tech vocabulary sentence bank (text only).", |
| "training": "prompts for recordings, not audio", |
| "title": "AI Tech Vocabulary Sentence Bank", |
| "tag": null, |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/AI-Tech-Vocabulary-Sentence-Bank", |
| "last_modified": "2026-10-22" |
| }, |
| { |
| "id": "Hebrish/Homophone-Context-Sentence-Bank", |
| "kind": "sentence-text", |
| "description": "Homophone-in-context sentence bank (text only).", |
| "training": "prompts for recordings, not audio", |
| "title": "Homophone Context Sentence Bank", |
| "tag": null, |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Homophone-Context-Sentence-Bank", |
| "last_modified": "2026-10-22" |
| }, |
| { |
| "id": "Hebrish/AI-Interactions-Sentence-Bank", |
| "kind": "sentence-text", |
| "description": "Sentences dictated to AI agents (text only).", |
| "training": "prompts for recordings, not audio", |
| "title": "AI Interactions Sentence Bank", |
| "tag": null, |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/AI-Interactions-Sentence-Bank", |
| "last_modified": "2026-10-22" |
| }, |
| { |
| "id": "Hebrish/Parakeet-V2-Blend-All", |
| "kind": "training-mix export", |
| "description": "Export of the `all` training mix, for reproducing Sabich runs.", |
| "training": "export of the all mix", |
| "title": "Parakeet V2 Blend All", |
| "tag": null, |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Parakeet-V2-Blend-All", |
| "last_modified": "2026-10-25" |
| }, |
| { |
| "id": "Hebrish/Room-Tone-Annotations", |
| "kind": "annotations", |
| "description": "Room-tone recordings and labels for noise conditions.", |
| "training": "not yet used", |
| "title": "Room Tone Annotations", |
| "tag": null, |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Room-Tone-Annotations", |
| "last_modified": "2026-10-22" |
| }, |
| { |
| "id": "Hebrish/Hebrish-Ideas", |
| "kind": "other", |
| "description": "Ideas recorded in the capture app.", |
| "training": "never", |
| "title": "Hebrish Ideas", |
| "tag": null, |
| "in_blends": [], |
| "status": "published", |
| "url": "https://huggingface.co/datasets/Hebrish/Hebrish-Ideas", |
| "last_modified": "2026-10-26" |
| } |
| ] |
| } |
|
|
