---
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.