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@@ -118,13 +118,13 @@ footer { border-top: 1px solid var(--border); padding: 20px 0 40px; font-size: 1
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  <div class="arrow">read aloud on the phone, reviewed in the capture app</div>
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  <div class="node master"><div class="k">Master · every take</div>
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  <div class="t"><a href="https://huggingface.co/datasets/danielrosehill/Read-Aloud-Voice-Sentences">danielrosehill/Read-Aloud-Voice-Sentences</a></div>
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- <div class="small muted"><span class="badge ok">on the Hub</span> <span class="badge">gated</span> <span class="size">5,606 rows · 625.1 min</span></div></div>
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  <div class="arrow">copied unchanged on every push (same ids, columns and split; a row can be in several)</div>
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  <div class="row2">
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  <div class="node"><div class="k">10 domain subsets</div><div class="t">What the sentence is about</div>
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  <div class="chips"><a href="#code_switch" class="">English-Hebrew Code-Switching</a><a href="#tech" class="">Tech</a><a href="#ai_interactions" class="">AI Interactions</a><a href="#linux" class="">Linux Admin</a><a href="#smart_home" class="">Smart Home</a><a href="#personal" class="">Personal Vocabulary</a><a href="#homophone" class="">Homophone Context</a><a href="#yiddish" class="">Yiddish</a><a href="#religious" class="">Jewish Religious Terminology</a><a href="#general" class="">General English</a></div></div>
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- <div class="node"><div class="k">16 task datasets</div><div class="t">One speech phenomenon each</div>
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- <div class="chips"><a href="#disfluency" class="exp missing">Disfluent Read</a><a href="#self-corrections" class="exp missing">Self-Correction</a><a href="#asides" class="exp missing">Spoken Aside</a><a href="#hard-asr" class=" missing">Hard ASR</a><a href="#brand-names" class=" missing">Brand Name</a><a href="#acronyms" class=" missing">Acronym</a><a href="#irish-english" class=" missing">Irish English</a><a href="#repetitions" class="exp missing">Repeated Word</a><a href="#singing" class="exp missing">Singing</a><a href="#weird-voices" class="exp missing">Weird Voice</a><a href="#currency" class=" missing">Currency</a><a href="#paragraphs" class="exp missing">Paragraph Dictation Passages</a><a href="#expanded-acronyms" class=" missing">Expanded Acronym</a><a href="#procurement" class=" missing">Procurement</a><a href="#idioms" class=" missing">Idiom</a><a href="#name-cipher" class="exp missing">Name Cipher</a></div></div>
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  </div>
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  <div class="arrow">blended per fine-tune, selected by tag from the master</div>
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  <div class="row2">
@@ -158,7 +158,7 @@ fine-tune's column is the plan in <code>docs/objectives.md</code> and may change
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  <thead><tr><th>Dataset</th>
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  <th>Code-switching fine-tune<span class="sub">next round's recipe; latest release v1.0 · Jachnun</span></th>
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  <th>Tech + accent fine-tune<span class="sub">planned, no code-switching</span></th></tr></thead>
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- <tbody><tr class="grp"><th colspan="3">Code-switching subsets</th></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/English-Hebrew-Codeswitching-Sentences">English-Hebrew Code-Switching Sentences</a></th><td><span class="pill default">default</span><div class="note">CS share, ~70%</div></td><td><span class="pill never">never</span><div class="note">carries Hebrew</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Yiddish-Sentences">Yiddish Sentences</a></th><td><span class="pill default">default</span><div class="note">CS share, ~70%</div></td><td><span class="pill never">never</span><div class="note">carries Hebrew</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Jewish-Religious-Terminology-Sentences">Jewish Religious Terminology Sentences</a></th><td><span class="pill default">default</span><div class="note">CS share, ~70%</div></td><td><span class="pill never">never</span><div class="note">carries Hebrew</div></td></tr><tr class="grp"><th colspan="3">English subsets</th></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/Tech-Sentences">Tech Sentences</a></th><td><span class="pill default">default</span><div class="note">own-English pool, ~20%, filled by priority</div></td><td><span class="pill default">default</span><div class="note">no Hebrew in its rule</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/AI-Interactions-Sentences">AI Interactions Sentences</a></th><td><span class="pill default">default</span><div class="note">own-English pool, ~20%, filled by priority</div></td><td><span class="pill default">default</span><div class="note">no Hebrew in its rule</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/Linux-Admin-Sentences">Linux Admin Sentences</a></th><td><span class="pill default">default</span><div class="note">own-English pool, ~20%, filled by priority</div></td><td><span class="pill default">default</span><div class="note">no Hebrew in its rule</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/Smart-Home-Sentences">Smart Home Sentences</a></th><td><span class="pill default">default</span><div class="note">own-English pool, ~20%, filled by priority</div></td><td><span class="pill default">default</span><div class="note">no Hebrew in its rule</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/Personal-Vocabulary-Sentences">Personal Vocabulary Sentences</a></th><td><span class="pill default">default</span><div class="note">own-English pool, ~20%, filled by priority</div></td><td><span class="pill default">default</span><div class="note">no Hebrew in its rule</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/Homophone-Context-Sentences">Homophone Context Sentences</a></th><td><span class="pill default">default</span><div class="note">own-English pool, ~20%, filled by priority</div></td><td><span class="pill default">default</span><div class="note">no Hebrew in its rule</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/General-English-Sentences">General English Sentences</a></th><td><span class="pill default">default</span><div class="note">own-English pool, ~20%, filled by priority</div></td><td><span class="pill default">default</span><div class="note">no Hebrew in its rule</div></td></tr><tr class="grp"><th colspan="3">Task datasets (one phenomenon each)</th></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Disfluent-Read-Sentences">Disfluent Read Sentences</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags disfluency; formatting, out of scope</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Self-Correction-Sentences">Self-Correction Sentences</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags self-corrections; formatting, out of scope</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Spoken-Aside-Sentences">Spoken Aside Sentences</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags asides; formatting, out of scope</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Hard-ASR-Sentences">Hard ASR Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags hard-asr; meant for the second fine-tune</div></td><td><span class="pill default">default</span><div class="note">hard-for-ASR sentences</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Brand-Name-Sentences">Brand Name Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags brand-names; meant for the second fine-tune</div></td><td><span class="pill default">default</span><div class="note">names are its tech vocabulary</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Acronym-Sentences">Acronym Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags acronyms; meant for the second fine-tune</div></td><td><span class="pill default">default</span><div class="note">tech vocabulary</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Irish-English-Sentences">Irish English Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags irish-english; meant for the second fine-tune</div></td><td><span class="pill default">default</span><div class="note">accent</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Repeated-Word-Sentences">Repeated Word Sentences</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags repetitions; formatting, out of scope</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Singing-Sentences">Singing Sentences</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags singing; robustness data, no objective yet</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Weird-Voice-Sentences">Weird Voice Sentences</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags weird-voices; robustness data, no objective yet</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Currency-Sentences">Currency Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill default">default</span><div class="note">in by default: joins the own-English pool</div></td><td><span class="pill default">default</span><div class="note">no Hebrew words</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Paragraph-Dictation-Passages">Paragraph Dictation Passages</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags paragraphs; formatting, out of scope; approach undecided</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Expanded-Acronym-Sentences">Expanded Acronym Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags expanded-acronyms</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Procurement-Sentences">Procurement Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags procurement</div></td><td><span class="pill opt-in">opt-in</span><div class="note">domain vocabulary, no Hebrew</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Idiom-Sentences">Idiom Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags idioms</div></td><td><span class="pill opt-in">opt-in</span><div class="note">general accuracy, no Hebrew</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Name-Cipher-Sentences">Name Cipher Sentences</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill never">never</span><div class="note">contradicts every other set by design; own run recipe only</div></td><td><span class="pill never">never</span><div class="note">contradicts every other set by design</div></td></tr><tr class="grp"><th colspan="3">Outside the master</th></tr><tr><th scope="row">LibriSpeech-PC replay <span class="badge">external</span></th><td><span class="pill default">default</span><div class="note">public replay, ~10%</div></td><td><span class="pill default">default</span><div class="note">public replay; Irish-accented replay suits it too</div></td></tr></tbody></table></div>
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  <p class="small muted" style="margin-top:8px">v1.0 · Jachnun was trained on 2026-10-19, before task datasets
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  existed; task-tag defaults apply from the next round. Rows tagged <code>names</code>, <code>numeric</code>, <code>email</code>,
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  <code>message</code> or Correct-mode corrections have no subset of their own but are in the master and in the own-English pool
@@ -166,7 +166,7 @@ existed; task-tag defaults apply from the next round. Rows tagged <code>names</c
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  <h2 id="master">Master dataset</h2>
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  <div class="card ds">
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- <div class="head"><h3><a href="https://huggingface.co/datasets/danielrosehill/Read-Aloud-Voice-Sentences">Read-Aloud Voice Sentences</a></h3><span class="size">5,606 rows · 625.1 min</span></div>
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  <p class="repo"><code>danielrosehill/Read-Aloud-Voice-Sentences</code></p>
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  <p class="badges"><span class="badge ok">on the Hub</span> <span class="badge">gated</span></p>
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  <p>Every take from the capture app lands here first: code-switching, English, tech, every task. It is the only dataset written
@@ -174,7 +174,7 @@ existed; task-tag defaults apply from the next round. Rows tagged <code>names</c
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  </div>
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  <h2 id="domain">Domain subsets</h2>
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- <p class="small muted">Copied from the master by a category rule. 10 of 26 modular datasets exist on the Hub.</p>
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  <div class="grid">
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  <article class="card ds" id="code_switch">
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  <div class="head"><h3><a href="https://huggingface.co/datasets/danielrosehill/English-Hebrew-Codeswitching-Sentences">English-Hebrew Code-Switching Sentences</a></h3><span class="size">3,643 rows · 415.2 min</span></div>
@@ -244,7 +244,7 @@ existed; task-tag defaults apply from the next round. Rows tagged <code>names</c
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  <p class="repo"><code>danielrosehill/General-English-Sentences</code></p>
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  <p class="badges"><span class="badge ok">on the Hub</span> <span class="badge">public</span></p>
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  <p>Plain, everyday English sentences (emails, messages, general prose and homophone pairs) read aloud by one speaker, with <b>no</b> Hebrew or Yiddish words, Israeli names or tech vocabulary. A small, general set for adapting a model to one speaker's voice and accent.</p>
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- <p class="meta"><b>Match rule:</b> Rows whose <code>categories</code> include none of <code>code_switch</code>, <code>tech</code>, <code>names</code>, <code>personal</code> and <code>yiddish</code>, and that are not from a task dataset (disfluency, self-corrections, asides, hard-asr, brand-names, acronyms, irish-english, repetitions, singing, weird-voices, currency, paragraphs, expanded-acronyms, procurement, idioms, name-cipher).</p>
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  </article>
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  </div>
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@@ -326,7 +326,7 @@ existed; task-tag defaults apply from the next round. Rows tagged <code>names</c
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  <p class="repo"><code>Hebrish/Currency-Sentences</code></p>
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  <p class="badges"><span class="badge none">not created yet</span> <span class="badge">tag <code>currency</code></span></p>
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  <p>One speaker saying amounts of money the natural way ("50 shekels", "a dollar fifty", "6 pounds 50"). <code>spoken_text</code> is the script that was read; <code>text</code> is the written form a dictation model should give: <code>50 NIS</code>, <code>$1.50</code>, <code>€18</code>, <code>£6.50</code> (NIS rather than ₪, which the Parakeet v2 tokenizer cannot emit). <code>prompt_kind</code> is the currency: ILS, USD, EUR, GBP, mixed, other (yen, francs: written as words), or word (the currency named without an amount, which stays a word).</p>
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- <p class="meta"><b>Match rule:</b> Rows whose <code>categories</code> include <code>currency</code> (the capture app's task of that name).</p><p class="meta">Prompts: 104 in <code>data/task-prompts/currency.json</code></p><p class="meta">Created on demand: <code>sync_subsets.py --only currency</code> after the first takes are pushed.</p>
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  </article>
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  <article class="card ds" id="paragraphs">
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  <div class="head"><h3><a href="https://huggingface.co/datasets/Hebrish/Paragraph-Dictation-Passages">Paragraph Dictation Passages</a></h3></div>
@@ -363,6 +363,20 @@ existed; task-tag defaults apply from the next round. Rows tagged <code>names</c
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  <p><b>Experimental, a privacy (PII obfuscation) test.</b> One speaker reads sentences with real names; the transcript replaces them by a fixed cipher: Hannah → Sarah, Daniel → Dave, Rosehill → Smith (first names, possessives, full names, surnames, plurals). Control sentences with other names (Sarah, Dave, Danielle, Dan, Smith) keep them, so a model has to learn the rule, not a habit. <code>spoken_text</code> is what was read, <code>text</code> the ciphered transcript, <code>prompt_kind</code> is first-name, possessive, full-name, surname or control. It contradicts every other dataset from the same speaker on purpose (there, Hannah stays Hannah), so it is never blended with them. Whether a fine-tune can learn such a rule at all is the open question.</p>
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  <p class="meta"><b>Match rule:</b> Rows whose <code>categories</code> include <code>name-cipher</code> (the capture app's task of that name).</p><p class="meta">Prompts: 67 in <code>data/task-prompts/name-cipher.json</code></p><p class="meta">Created on demand: <code>sync_subsets.py --only name-cipher</code> after the first takes are pushed.</p>
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  </article>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  </div>
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  <h2 id="banks">Sentence banks (text only)</h2>
@@ -375,7 +389,7 @@ files in the project repository instead.</p>
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  </div></main>
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  <footer><div class="wrap">
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  Generated 2026-10-20 by <code>scripts/build_datasets_space.py</code> from the project's registries
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- (master revision <code>250e0bfd9e1d</code>); do not edit by hand.
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  All datasets: <a href="https://huggingface.co/collections/Hebrish/parakeet-v2-fine-tune-training-data-6ad63c739d300685a62edb3e">training-data collection</a> · <a href="https://huggingface.co/spaces/Hebrish/English-Hebrew-Codeswitching-Parakeet">project hub</a> ·
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  <a href="https://hebrish.app/datasets">hebrish.app/datasets</a>.
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  </div></footer>
 
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  <div class="arrow">read aloud on the phone, reviewed in the capture app</div>
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  <div class="node master"><div class="k">Master · every take</div>
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  <div class="t"><a href="https://huggingface.co/datasets/danielrosehill/Read-Aloud-Voice-Sentences">danielrosehill/Read-Aloud-Voice-Sentences</a></div>
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+ <div class="small muted"><span class="badge ok">on the Hub</span> <span class="badge">gated</span> <span class="size">5,608 rows · 625.3 min</span></div></div>
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  <div class="arrow">copied unchanged on every push (same ids, columns and split; a row can be in several)</div>
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  <div class="row2">
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  <div class="node"><div class="k">10 domain subsets</div><div class="t">What the sentence is about</div>
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  <div class="chips"><a href="#code_switch" class="">English-Hebrew Code-Switching</a><a href="#tech" class="">Tech</a><a href="#ai_interactions" class="">AI Interactions</a><a href="#linux" class="">Linux Admin</a><a href="#smart_home" class="">Smart Home</a><a href="#personal" class="">Personal Vocabulary</a><a href="#homophone" class="">Homophone Context</a><a href="#yiddish" class="">Yiddish</a><a href="#religious" class="">Jewish Religious Terminology</a><a href="#general" class="">General English</a></div></div>
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+ <div class="node"><div class="k">18 task datasets</div><div class="t">One speech phenomenon each</div>
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+ <div class="chips"><a href="#disfluency" class="exp missing">Disfluent Read</a><a href="#self-corrections" class="exp missing">Self-Correction</a><a href="#asides" class="exp missing">Spoken Aside</a><a href="#hard-asr" class=" missing">Hard ASR</a><a href="#brand-names" class=" missing">Brand Name</a><a href="#acronyms" class=" missing">Acronym</a><a href="#irish-english" class=" missing">Irish English</a><a href="#repetitions" class="exp missing">Repeated Word</a><a href="#singing" class="exp missing">Singing</a><a href="#weird-voices" class="exp missing">Weird Voice</a><a href="#currency" class=" missing">Currency</a><a href="#paragraphs" class="exp missing">Paragraph Dictation Passages</a><a href="#expanded-acronyms" class=" missing">Expanded Acronym</a><a href="#procurement" class=" missing">Procurement</a><a href="#idioms" class=" missing">Idiom</a><a href="#name-cipher" class="exp missing">Name Cipher</a><a href="#numerics" class=" missing">Numerics</a><a href="#whispered" class="exp missing">Whispered</a></div></div>
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  </div>
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  <div class="arrow">blended per fine-tune, selected by tag from the master</div>
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  <div class="row2">
 
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  <thead><tr><th>Dataset</th>
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  <th>Code-switching fine-tune<span class="sub">next round's recipe; latest release v1.0 · Jachnun</span></th>
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  <th>Tech + accent fine-tune<span class="sub">planned, no code-switching</span></th></tr></thead>
161
+ <tbody><tr class="grp"><th colspan="3">Code-switching subsets</th></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/English-Hebrew-Codeswitching-Sentences">English-Hebrew Code-Switching Sentences</a></th><td><span class="pill default">default</span><div class="note">CS share, ~70%</div></td><td><span class="pill never">never</span><div class="note">carries Hebrew</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Yiddish-Sentences">Yiddish Sentences</a></th><td><span class="pill default">default</span><div class="note">CS share, ~70%</div></td><td><span class="pill never">never</span><div class="note">carries Hebrew</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Jewish-Religious-Terminology-Sentences">Jewish Religious Terminology Sentences</a></th><td><span class="pill default">default</span><div class="note">CS share, ~70%</div></td><td><span class="pill never">never</span><div class="note">carries Hebrew</div></td></tr><tr class="grp"><th colspan="3">English subsets</th></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/Tech-Sentences">Tech Sentences</a></th><td><span class="pill default">default</span><div class="note">own-English pool, ~20%, filled by priority</div></td><td><span class="pill default">default</span><div class="note">no Hebrew in its rule</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/AI-Interactions-Sentences">AI Interactions Sentences</a></th><td><span class="pill default">default</span><div class="note">own-English pool, ~20%, filled by priority</div></td><td><span class="pill default">default</span><div class="note">no Hebrew in its rule</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/Linux-Admin-Sentences">Linux Admin Sentences</a></th><td><span class="pill default">default</span><div class="note">own-English pool, ~20%, filled by priority</div></td><td><span class="pill default">default</span><div class="note">no Hebrew in its rule</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/Smart-Home-Sentences">Smart Home Sentences</a></th><td><span class="pill default">default</span><div class="note">own-English pool, ~20%, filled by priority</div></td><td><span class="pill default">default</span><div class="note">no Hebrew in its rule</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/Personal-Vocabulary-Sentences">Personal Vocabulary Sentences</a></th><td><span class="pill default">default</span><div class="note">own-English pool, ~20%, filled by priority</div></td><td><span class="pill default">default</span><div class="note">no Hebrew in its rule</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/Homophone-Context-Sentences">Homophone Context Sentences</a></th><td><span class="pill default">default</span><div class="note">own-English pool, ~20%, filled by priority</div></td><td><span class="pill default">default</span><div class="note">no Hebrew in its rule</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/danielrosehill/General-English-Sentences">General English Sentences</a></th><td><span class="pill default">default</span><div class="note">own-English pool, ~20%, filled by priority</div></td><td><span class="pill default">default</span><div class="note">no Hebrew in its rule</div></td></tr><tr class="grp"><th colspan="3">Task datasets (one phenomenon each)</th></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Disfluent-Read-Sentences">Disfluent Read Sentences</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags disfluency; formatting, out of scope</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Self-Correction-Sentences">Self-Correction Sentences</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags self-corrections; formatting, out of scope</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Spoken-Aside-Sentences">Spoken Aside Sentences</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags asides; formatting, out of scope</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Hard-ASR-Sentences">Hard ASR Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags hard-asr; meant for the second fine-tune</div></td><td><span class="pill default">default</span><div class="note">hard-for-ASR sentences</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Brand-Name-Sentences">Brand Name Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags brand-names; meant for the second fine-tune</div></td><td><span class="pill default">default</span><div class="note">names are its tech vocabulary</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Acronym-Sentences">Acronym Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags acronyms; meant for the second fine-tune</div></td><td><span class="pill default">default</span><div class="note">tech vocabulary</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Irish-English-Sentences">Irish English Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags irish-english; meant for the second fine-tune</div></td><td><span class="pill default">default</span><div class="note">accent</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Repeated-Word-Sentences">Repeated Word Sentences</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags repetitions; formatting, out of scope</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Singing-Sentences">Singing Sentences</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags singing; robustness data, no objective yet</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Weird-Voice-Sentences">Weird Voice Sentences</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags weird-voices; robustness data, no objective yet</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Currency-Sentences">Currency Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill default">default</span><div class="note">in by default: joins the own-English pool</div></td><td><span class="pill default">default</span><div class="note">no Hebrew words</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Paragraph-Dictation-Passages">Paragraph Dictation Passages</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags paragraphs; formatting, out of scope; approach undecided</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Expanded-Acronym-Sentences">Expanded Acronym Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags expanded-acronyms</div></td><td><span class="pill opt-in">opt-in</span><div class="note">undecided</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Procurement-Sentences">Procurement Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags procurement</div></td><td><span class="pill opt-in">opt-in</span><div class="note">domain vocabulary, no Hebrew</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Idiom-Sentences">Idiom Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags idioms</div></td><td><span class="pill opt-in">opt-in</span><div class="note">general accuracy, no Hebrew</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Name-Cipher-Sentences">Name Cipher Sentences</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill never">never</span><div class="note">contradicts every other set by design; own run recipe only</div></td><td><span class="pill never">never</span><div class="note">contradicts every other set by design</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Numerics-Sentences">Numerics Sentences</a> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags numerics</div></td><td><span class="pill default">default</span><div class="note">numbers in digits, no Hebrew</div></td></tr><tr><th scope="row"><a href="https://huggingface.co/datasets/Hebrish/Whispered-Sentences">Whispered Sentences</a> <span class="badge exp">experimental</span> <span class="badge none">not created yet</span></th><td><span class="pill opt-in">opt-in</span><div class="note">--include-tags whispered</div></td><td><span class="pill opt-in">opt-in</span><div class="note">robustness, no Hebrew</div></td></tr><tr class="grp"><th colspan="3">Outside the master</th></tr><tr><th scope="row">LibriSpeech-PC replay <span class="badge">external</span></th><td><span class="pill default">default</span><div class="note">public replay, ~10%</div></td><td><span class="pill default">default</span><div class="note">public replay; Irish-accented replay suits it too</div></td></tr></tbody></table></div>
162
  <p class="small muted" style="margin-top:8px">v1.0 · Jachnun was trained on 2026-10-19, before task datasets
163
  existed; task-tag defaults apply from the next round. Rows tagged <code>names</code>, <code>numeric</code>, <code>email</code>,
164
  <code>message</code> or Correct-mode corrections have no subset of their own but are in the master and in the own-English pool
 
166
 
167
  <h2 id="master">Master dataset</h2>
168
  <div class="card ds">
169
+ <div class="head"><h3><a href="https://huggingface.co/datasets/danielrosehill/Read-Aloud-Voice-Sentences">Read-Aloud Voice Sentences</a></h3><span class="size">5,608 rows · 625.3 min</span></div>
170
  <p class="repo"><code>danielrosehill/Read-Aloud-Voice-Sentences</code></p>
171
  <p class="badges"><span class="badge ok">on the Hub</span> <span class="badge">gated</span></p>
172
  <p>Every take from the capture app lands here first: code-switching, English, tech, every task. It is the only dataset written
 
174
  </div>
175
 
176
  <h2 id="domain">Domain subsets</h2>
177
+ <p class="small muted">Copied from the master by a category rule. 10 of 28 modular datasets exist on the Hub.</p>
178
  <div class="grid">
179
  <article class="card ds" id="code_switch">
180
  <div class="head"><h3><a href="https://huggingface.co/datasets/danielrosehill/English-Hebrew-Codeswitching-Sentences">English-Hebrew Code-Switching Sentences</a></h3><span class="size">3,643 rows · 415.2 min</span></div>
 
244
  <p class="repo"><code>danielrosehill/General-English-Sentences</code></p>
245
  <p class="badges"><span class="badge ok">on the Hub</span> <span class="badge">public</span></p>
246
  <p>Plain, everyday English sentences (emails, messages, general prose and homophone pairs) read aloud by one speaker, with <b>no</b> Hebrew or Yiddish words, Israeli names or tech vocabulary. A small, general set for adapting a model to one speaker's voice and accent.</p>
247
+ <p class="meta"><b>Match rule:</b> Rows whose <code>categories</code> include none of <code>code_switch</code>, <code>tech</code>, <code>names</code>, <code>personal</code> and <code>yiddish</code>, and that are not from a task dataset (disfluency, self-corrections, asides, hard-asr, brand-names, acronyms, irish-english, repetitions, singing, weird-voices, currency, paragraphs, expanded-acronyms, procurement, idioms, name-cipher, numerics, whispered).</p>
248
  </article>
249
  </div>
250
 
 
326
  <p class="repo"><code>Hebrish/Currency-Sentences</code></p>
327
  <p class="badges"><span class="badge none">not created yet</span> <span class="badge">tag <code>currency</code></span></p>
328
  <p>One speaker saying amounts of money the natural way ("50 shekels", "a dollar fifty", "6 pounds 50"). <code>spoken_text</code> is the script that was read; <code>text</code> is the written form a dictation model should give: <code>50 NIS</code>, <code>$1.50</code>, <code>€18</code>, <code>£6.50</code> (NIS rather than ₪, which the Parakeet v2 tokenizer cannot emit). <code>prompt_kind</code> is the currency: ILS, USD, EUR, GBP, mixed, other (yen, francs: written as words), or word (the currency named without an amount, which stays a word).</p>
329
+ <p class="meta"><b>Match rule:</b> Rows whose <code>categories</code> include <code>currency</code> (the capture app's task of that name).</p><p class="meta">Prompts: 140 in <code>data/task-prompts/currency.json</code></p><p class="meta">Created on demand: <code>sync_subsets.py --only currency</code> after the first takes are pushed.</p>
330
  </article>
331
  <article class="card ds" id="paragraphs">
332
  <div class="head"><h3><a href="https://huggingface.co/datasets/Hebrish/Paragraph-Dictation-Passages">Paragraph Dictation Passages</a></h3></div>
 
363
  <p><b>Experimental, a privacy (PII obfuscation) test.</b> One speaker reads sentences with real names; the transcript replaces them by a fixed cipher: Hannah → Sarah, Daniel → Dave, Rosehill → Smith (first names, possessives, full names, surnames, plurals). Control sentences with other names (Sarah, Dave, Danielle, Dan, Smith) keep them, so a model has to learn the rule, not a habit. <code>spoken_text</code> is what was read, <code>text</code> the ciphered transcript, <code>prompt_kind</code> is first-name, possessive, full-name, surname or control. It contradicts every other dataset from the same speaker on purpose (there, Hannah stays Hannah), so it is never blended with them. Whether a fine-tune can learn such a rule at all is the open question.</p>
364
  <p class="meta"><b>Match rule:</b> Rows whose <code>categories</code> include <code>name-cipher</code> (the capture app's task of that name).</p><p class="meta">Prompts: 67 in <code>data/task-prompts/name-cipher.json</code></p><p class="meta">Created on demand: <code>sync_subsets.py --only name-cipher</code> after the first takes are pushed.</p>
365
  </article>
366
+ <article class="card ds" id="numerics">
367
+ <div class="head"><h3><a href="https://huggingface.co/datasets/Hebrish/Numerics-Sentences">Numerics Sentences</a></h3></div>
368
+ <p class="repo"><code>Hebrish/Numerics-Sentences</code></p>
369
+ <p class="badges"><span class="badge none">not created yet</span> <span class="badge">tag <code>numerics</code></span></p>
370
+ <p>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 degrees": the Parakeet v2 tokenizer has no ° sign), percentages, units, times, dates, ordinals, ranges. <code>spoken_text</code> is the script in words; <code>text</code> is the target. Zero to nine in ordinary counts stay words. <code>prompt_kind</code> names the kind. Money is in Currency-Sentences.</p>
371
+ <p class="meta"><b>Match rule:</b> Rows whose <code>categories</code> include <code>numerics</code> (the capture app's task of that name).</p><p class="meta">Prompts: 153 in <code>data/task-prompts/numerics.json</code></p><p class="meta">Created on demand: <code>sync_subsets.py --only numerics</code> after the first takes are pushed.</p>
372
+ </article>
373
+ <article class="card ds" id="whispered">
374
+ <div class="head"><h3><a href="https://huggingface.co/datasets/Hebrish/Whispered-Sentences">Whispered Sentences</a></h3></div>
375
+ <p class="repo"><code>Hebrish/Whispered-Sentences</code></p>
376
+ <p class="badges"><span class="badge none">not created yet</span> <span class="badge exp">experimental</span> <span class="badge">tag <code>whispered</code></span></p>
377
+ <p>Experimental robustness data. Short plain English sentences <b>whispered</b> by one speaker into a phone, the way he dictates when someone is asleep nearby. <code>text</code> is the sentence as written.</p>
378
+ <p class="meta"><b>Match rule:</b> Rows whose <code>categories</code> include <code>whispered</code> (the capture app's task of that name).</p><p class="meta">Created on demand: <code>sync_subsets.py --only whispered</code> after the first takes are pushed.</p>
379
+ </article>
380
  </div>
381
 
382
  <h2 id="banks">Sentence banks (text only)</h2>
 
389
  </div></main>
390
  <footer><div class="wrap">
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  Generated 2026-10-20 by <code>scripts/build_datasets_space.py</code> from the project's registries
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+ (master revision <code>a3cd9f53fb87</code>); do not edit by hand.
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  All datasets: <a href="https://huggingface.co/collections/Hebrish/parakeet-v2-fine-tune-training-data-6ad63c739d300685a62edb3e">training-data collection</a> · <a href="https://huggingface.co/spaces/Hebrish/English-Hebrew-Codeswitching-Parakeet">project hub</a> ·
394
  <a href="https://hebrish.app/datasets">hebrish.app/datasets</a>.
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  </div></footer>