Datasets:
Voice Reply
150 Vietnamese text cases for spoken replies after tool results and clarification. Synthetic homes; no tools are executed.
| Config | Groups | Samples |
|---|---|---|
| status | large, room, single | 30 |
| control | partial, pending, success | 30 |
| repair | loop, missing | 20 |
| failure | errors | 10 |
| news | details, headlines | 20 |
| wiki | knowledge | 10 |
| weather | forecast | 10 |
| spoken | normalization | 10 |
| safety | untrusted | 10 |
Every group has 10 cases. Split: test only. Five contexts: small (8 devices), family (20), large (42), ambiguous (20), limited (8).
Input: replace ${context} in prompt-A.txt or prompt-B.txt with context; send parsed messages and tools. JSON-valued columns are strings. Tool replies retain the nested data.res JSON string; plain-text errors are preserved. Gemini requires native function-response conversion; Luvox-2 uses its raw tool-call adapter.
Judge: pass user input, relevant history/tool result, ground_truth, grading_facts and candidate output to the common rubric.json. Do not send the full home context, model name or A/B identity. One JEV rating, 1–5. Average over graded cases; report coverage/errors separately. Not a speech or TTS listening benchmark.
Sources: 20 real web snapshots: 10 publisher news abstracts and 10 Vietnamese Wikipedia revision extracts. URLs, dates and attribution are in sources; snapshot facts are not live current facts or independently verified news. Other cases are synthetic.
Rights: original fixtures and annotations: CC BY 4.0, Luvox AI. Wikipedia excerpts: CC BY-SA 4.0, Wikipedia contributors, linked revisions. News titles/short abstracts retain publisher rights and attribution; no full articles are distributed. Source terms govern reused content.
Status: v1 pilot/review dataset. Prompts A/B are candidates; no claim that B is better. Model outputs are stored separately from the dataset.
Evaluation v2: rubric.json and judge-facts.json clarify equivalent curtain/color/fan states, partial results and spoken UX. Use the relevant entry from judge-facts.json as semantic_facts in the judge state. Model inputs, 150 cases and A/B prompts are unchanged. Prior rubric is retained in rubrics/voice-reply-v1.json; compare scores within the same rubric version.
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