Datasets:

Hebrish
/

ASR-Error-List

+---
+license: cc-by-4.0
+language: [en, he]
+pretty_name: Hebrish ASR Error List
+tags: [asr, speech-recognition, code-switching, error-analysis, hebrish]
+configs:
+- config_name: words
+  data_files: words.jsonl
+  default: true
+- config_name: occurrences
+  data_files: occurrences.jsonl
+---
+# Hebrish ASR Error List
+The words the Hebrish speech-to-text fine-tunes still get wrong in real dictation, what they were
+heard as, and how far targeted retraining on each one has got.
+The errors come from one speaker's own dictation with the Hebrish desktop app (English with Hebrew
+code-switching, Jerusalem). Each word here is fed back into training as a **priority word**: the
+recording app serves sentences with it first until there are enough takes of it. No transcript text,
+audio or other content of the dictations is published, only the word, the wrong forms and the model.
+- 16 words, 35 occurrences. Last review: 2026-10-22.
+- `models` / `model_line`: the Hebrish model that produced the error (Sabich, Shakshuka, …, with
+  version). Errors from before the app recorded the model have none.
+- `source: reported` means the speaker reported the error directly; it is not in the reviewed history.
+- `takes` / `target`: recordings of the word made for retraining so far, against the number wanted.
+  `status`: `training` (under target), `trained` (target reached; a later error means it still fails).
+| Word | Heard as | Occurrences | Takes / target |
+|---|---|---|---|
+| ROCm | ROCM, Rockham, Rockin, RCM | 13 | 0 / 20 |
+| Hebrish | HeBrish, Hebris, keybrush | 3 | 0 / 20 |
+| Nemotron | Nematron, Nementron | 3 | 0 / 20 |
+| F-Droid | FDroid | 2 | 0 / 20 |
+| Hugging Face | Hooking Face, hugging face | 2 | 0 / 20 |
+| My Weird Prompts | MyWord Prompts | 2 | 0 / 20 |
+| Boxty | E box d | 1 | 0 / 20 |
+| Chatterbox | Shatterbox | 1 | 0 / 20 |
+| eSpeak | Espeak | 1 | 0 / 20 |
+| EXE | AXE | 1 | 0 / 20 |
+| Kdenlive | Caden Live | 1 | 0 / 20 |
+| Meorav | Maorab | 1 | 0 / 20 |
+| ONNX | ONIX | 1 | 0 / 20 |
+| prosody | porosity | 1 | 0 / 20 |
+| Qwen | Qwen1 | 1 | 0 / 20 |
+| Sabich | Tzabich | 1 | 0 / 20 |
+Maintained by Daniel Rosehill (Hebrish). Built by `scripts/publish_error_list.py` in the
+Voice-Training-Recorder repo.

occurrences.jsonl ADDED Viewed

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+{"word": "Boxty", "heard_as": "E box d", "model": null, "model_line": null, "model_version": null, "source": "import", "date": "2026-10-21"}
+{"word": "EXE", "heard_as": "AXE", "model": null, "model_line": null, "model_version": null, "source": "import", "date": "2026-10-21"}
+{"word": "F-Droid", "heard_as": "FDroid", "model": null, "model_line": null, "model_version": null, "source": "import", "date": "2026-10-21"}
+{"word": "F-Droid", "heard_as": "FDroid", "model": null, "model_line": null, "model_version": null, "source": "import", "date": "2026-10-21"}
+{"word": "Hebrish", "heard_as": "Hebris", "model": null, "model_line": null, "model_version": null, "source": "import", "date": "2026-10-21"}
+{"word": "Hugging Face", "heard_as": "hugging face", "model": null, "model_line": null, "model_version": null, "source": "import", "date": "2026-10-21"}
+{"word": "ONNX", "heard_as": "ONIX", "model": null, "model_line": null, "model_version": null, "source": "import", "date": "2026-10-21"}
+{"word": "ROCm", "heard_as": "ROCM", "model": null, "model_line": null, "model_version": null, "source": "import", "date": "2026-10-21"}
+{"word": "Sabich", "heard_as": "Tzabich", "model": null, "model_line": null, "model_version": null, "source": "import", "date": "2026-10-21"}
+{"word": "Chatterbox", "heard_as": "Shatterbox", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "eSpeak", "heard_as": "Espeak", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "Hebrish", "heard_as": "keybrush", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "Hebrish", "heard_as": "HeBrish", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "Hugging Face", "heard_as": "Hooking Face", "model": null, "model_line": null, "model_version": null, "source": "reported", "date": "2026-10-22"}
+{"word": "Kdenlive", "heard_as": "Caden Live", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "Meorav", "heard_as": "Maorab", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "My Weird Prompts", "heard_as": "MyWord Prompts", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "My Weird Prompts", "heard_as": "MyWord Prompts", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "Nemotron", "heard_as": "Nematron", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "Nemotron", "heard_as": "Nementron", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "Nemotron", "heard_as": "Nematron", "model": "sabich Sabich v2.0", "model_line": "Sabich", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "prosody", "heard_as": "porosity", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "Qwen", "heard_as": "Qwen1", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "ROCm", "heard_as": "ROCM", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "ROCm", "heard_as": "ROCM", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "ROCm", "heard_as": "ROCM", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "ROCm", "heard_as": "RCM", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "ROCm", "heard_as": "Rockham", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "ROCm", "heard_as": "ROCM", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "ROCm", "heard_as": "Rockham", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "ROCm", "heard_as": "Rockham", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "ROCm", "heard_as": "Rockham", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "ROCm", "heard_as": "Rockham", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "ROCm", "heard_as": "Rockham", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}
+{"word": "ROCm", "heard_as": "Rockin", "model": "shakshuka Shakshuka v2.0", "model_line": "Shakshuka", "model_version": "v2.0", "source": "dictate", "date": "2026-10-22"}

words.jsonl ADDED Viewed

	@@ -0,0 +1,16 @@

+{"word": "ROCm", "heard_as": ["ROCM", "Rockham", "Rockin", "RCM"], "kinds": ["tech", "linux"], "meaning": "AMD's open-source GPU compute stack (like CUDA)", "occurrences": 13, "models": ["shakshuka Shakshuka v2.0"], "first_seen": "2026-10-21", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
+{"word": "Hebrish", "heard_as": ["HeBrish", "Hebris", "keybrush"], "kinds": ["personal"], "meaning": "Daniel's Hebrew-English code-switching ASR project, app and Hugging Face org", "occurrences": 3, "models": ["sabich Sabich v2.0", "shakshuka Shakshuka v2.0"], "first_seen": "2026-10-21", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
+{"word": "Nemotron", "heard_as": ["Nematron", "Nementron"], "kinds": ["tech", "ai_interactions"], "meaning": "NVIDIA's Nemotron model family (a streaming ASR model here)", "occurrences": 3, "models": ["sabich Sabich v2.0", "shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
+{"word": "F-Droid", "heard_as": ["FDroid"], "kinds": ["tech"], "meaning": "the open-source Android app store", "occurrences": 2, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-21", "takes": 0, "target": 20, "status": "training"}
+{"word": "Hugging Face", "heard_as": ["Hooking Face", "hugging face"], "kinds": ["tech", "ai_interactions"], "meaning": "the AI model and dataset hub", "occurrences": 2, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
+{"word": "My Weird Prompts", "heard_as": ["MyWord Prompts"], "kinds": ["personal"], "meaning": "Daniel's AI podcast", "occurrences": 2, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
+{"word": "Boxty", "heard_as": ["E box d"], "kinds": ["personal"], "meaning": "Daniel's no-Hebrew ASR fine-tune, named after the Irish potato pancake", "occurrences": 1, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-21", "takes": 0, "target": 20, "status": "training"}
+{"word": "Chatterbox", "heard_as": ["Shatterbox"], "kinds": ["tech", "ai_interactions"], "meaning": "Resemble AI's open-source TTS model", "occurrences": 1, "models": ["shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
+{"word": "eSpeak", "heard_as": ["Espeak"], "kinds": ["linux"], "meaning": "the open-source speech synthesizer", "occurrences": 1, "models": ["shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
+{"word": "EXE", "heard_as": ["AXE"], "kinds": ["tech"], "meaning": "the Windows executable file format, said as letters", "occurrences": 1, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-21", "takes": 0, "target": 20, "status": "training"}
+{"word": "Kdenlive", "heard_as": ["Caden Live"], "kinds": ["linux"], "meaning": "the KDE video editor", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
+{"word": "Meorav", "heard_as": ["Maorab"], "kinds": ["personal", "hebrew"], "meaning": "Daniel's TTS voice-clone model; Hebrew for 'mixed'", "occurrences": 1, "models": ["sabich Sabich v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
+{"word": "ONNX", "heard_as": ["ONIX"], "kinds": ["tech", "ai_interactions"], "meaning": "the Open Neural Network Exchange model format", "occurrences": 1, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-21", "takes": 0, "target": 20, "status": "training"}
+{"word": "prosody", "heard_as": ["porosity"], "kinds": ["other"], "meaning": "the rhythm, stress and intonation of speech, as in TTS", "occurrences": 1, "models": ["shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
+{"word": "Qwen", "heard_as": ["Qwen1"], "kinds": ["tech", "ai_interactions"], "meaning": "Alibaba's Qwen model family", "occurrences": 1, "models": ["shakshuka Shakshuka v2.0"], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
+{"word": "Sabich", "heard_as": ["Tzabich"], "kinds": ["personal", "hebrew"], "meaning": "Daniel's main ASR fine-tune, named after the Israeli sandwich", "occurrences": 1, "models": [], "first_seen": "2026-10-21", "last_seen": "2026-10-21", "takes": 0, "target": 20, "status": "training"}