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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      Bad split: smoke_v1. Available splits: ['train']
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 116, in get_rows
                  ds = safe_load_dataset(
                      dataset,
                  ...<4 lines>...
                      download_config=download_config,
                  )
                File "/src/services/worker/src/worker/utils.py", line 465, in safe_load_dataset
                  return load_dataset(
                      path,
                  ...<5 lines>...
                      token=token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1715, in load_dataset
                  return builder_instance.as_streaming_dataset(split=split)
                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1154, in as_streaming_dataset
                  raise ValueError(f"Bad split: {split}. Available splits: {list(splits_generators)}")
              ValueError: Bad split: smoke_v1. Available splits: ['train']

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QuantCall Evaluation Suite

Deterministic, versioned evaluation samples used by the QuantCall benchmark 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:

{
  "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

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