Error list: 18 words, 35 occurrences (review 2026-10-22)

README.md

@@ -23,7 +23,7 @@ code-switching, Jerusalem). Each word here is fed back into training as a **prio
 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.
+- 18 words, 35 occurrences. Last review: 2026-10-22.
 - `models` / `model_line`: the Hebrish model that produced the error (Sabich, Shakshuka, …, with
   version); `model_rev` is the exact weights' revision, recorded from app 0.7.3. Errors from before
   the app recorded the model have none.
@@ -49,6 +49,8 @@ audio or other content of the dictations is published, only the word, the wrong
 | prosody | porosity | 1 | 0 / 20 |
 | Qwen | Qwen1 | 1 | 0 / 20 |
 | Sabich | Tzabich | 1 | 0 / 20 |
+| Jupyter |  | 0 | 0 / 20 |
+| Jupyter Notebook |  | 0 | 0 / 20 |
 
 ## Release tests
 

words.jsonl

@@ -14,3 +14,5 @@
 {"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"}
+{"word": "Jupyter", "heard_as": [], "kinds": ["tech"], "meaning": "Open-source project behind Jupyter Notebook and JupyterLab; pronounced like the planet Jupiter", "occurrences": 0, "models": [], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}
+{"word": "Jupyter Notebook", "heard_as": [], "kinds": ["tech"], "meaning": "Interactive Python notebook environment (.ipynb files) for data science and ML", "occurrences": 0, "models": [], "first_seen": "2026-10-22", "last_seen": "2026-10-22", "takes": 0, "target": 20, "status": "training"}