Add dataset card and smoke_v1 evaluation suite

README.md

@@ -0,0 +1,72 @@
+---
+license: mit
+language:
+- en
+tags:
+- tool-use
+- function-calling
+- benchmark
+- quantization
+- evaluation
+pretty_name: QuantCall Evaluation Suite
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: tier
+    dtype: string
+  - name: category
+    dtype: string
+  - name: query
+    dtype: string
+  - name: tools
+    sequence: string
+  - name: ground_truth_calls
+    sequence: string
+  - name: expects_call
+    dtype: bool
+  splits:
+  - name: smoke_v1
+    num_examples: 10
+---
+
+# QuantCall Evaluation Suite
+
+Deterministic, versioned evaluation samples used by the
+[QuantCall benchmark](https://github.com/Happynood/quant-toolcall-bench)
+to measure how quantization degrades LLM function-calling reliability.
+
+## Contents
+
+| File | Description |
+|------|-------------|
+| `data/smoke_v1.jsonl` | T0 smoke tier — 10 hand-crafted instances, always available without a GPU |
+| `data/schemas/tool_schemas.json` | Extracted JSON Schemas for all tools in `smoke_v1` |
+
+## Format
+
+Each instance in `smoke_v1.jsonl` is one JSON object per line:
+
+```json
+{
+  "id": "T0-001",
+  "tier": "T0",
+  "category": "simple",
+  "query": "What is the weather like in Paris?",
+  "tools": [{"name": "get_weather", "description": "...", "json_schema": {...}}],
+  "ground_truth_calls": [{"name": "get_weather", "arguments": {"city": "Paris"}}],
+  "expects_call": true
+}
+```
+
+## Versioning
+
+Files are version-pinned (`smoke_v1`, `smoke_v2`, …). Never overwrite a pinned
+version; add new versions when the evaluation set changes. This ensures all
+published results remain reproducible against the exact sample they were run on.
+
+## Links
+
+- GitHub: https://github.com/Happynood/quant-toolcall-bench
+- Results dataset: https://huggingface.co/datasets/Happynood/quantcall-results
+- Leaderboard: https://huggingface.co/spaces/Happynood/quantcall-leaderboard