| --- |
| license: cc-by-4.0 |
| language: [en, hi] |
| task_categories: [text-generation] |
| tags: [function-calling, tool-use, phone-assistant, hinglish, benchmark] |
| pretty_name: Phone Assistant Function Calling (20 tools, EN + Hinglish) |
| size_categories: [1K<n<10K] |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: train.jsonl |
| - split: test |
| path: test.jsonl |
| --- |
| |
| # Phone Assistant Function Calling |
|
|
| This benchmark has 4,000 voice-assistant style commands, each labelled with calls to 20 phone tools |
| (`tools.json`). It was built to fine-tune and evaluate |
| [FunctionGemma 270M](https://huggingface.co/ankit-pn/functiongemma-270m-phone-assistant). |
|
|
| - **Composition:** 3,000 single calls (150 per function), 480 parallel requests with 2–3 independent |
| calls, and 520 no-call requests (small talk and unsupported actions). |
| - **Languages:** 85% English and 15% Hinglish (Hindi in Latin script mixed with English). |
| - **Split:** 3,200 train / 800 test, stratified. Groups of near-duplicate utterances never cross the split. |
| - **Authoring:** every utterance and label was written individually by LLM writers following |
| `SPEC.md`. No sentence templates or slot filling were used. Separate LLM reviewers audited the |
| records, 32 bad labels were excluded, and normalized duplicates were removed. |
|
|
| ## Record format |
|
|
| ```json |
| {"id": "...", "text": "kal subah 7 baje ka alarm laga do", "calls": [{"name": "set_alarm", "arguments": {"time": "07:00"}}], "lang": "hi-en", "category": "single", "group": "..."} |
| {"id": "...", "text": "thanks, you're the best", "calls": [], "lang": "en", "reply": "You're welcome!", "category": "no_call", "group": "..."} |
| ``` |
|
|
| Argument conventions: 24h `HH:MM` times, dates as lower-case phrases, durations in seconds or |
| minutes, and optional arguments only when the user states them. The full rules are in `SPEC.md`. |
|
|
| ## Baselines (test split) |
|
|
| | Model | Exact match | Tool selection | No-call recall | |
| |---|---:|---:|---:| |
| | google/functiongemma-270m-it | 22.3% | 31.6% | 90.4% | |
| | ankit-pn/functiongemma-270m-phone-assistant | 75.4% | 93.0% | 79.8% | |
|
|
| Code and scorer: https://github.com/ankit-pn/functiongemma-phone-assistant-bench |
|
|
| Limitations: this is synthetic, LLM-authored data and not real user logs. Exact match undercounts |
| acceptable paraphrases in free-text fields. |
|
|
