Dataset Viewer
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']Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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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