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---
license: apache-2.0
pretty_name: DeRef tool-call argument verification sets
language:
- en
task_categories:
- text-classification
tags:
- tool-use
- function-calling
- llm-as-a-judge
- reward-model
size_categories:
- 1K<n<10K
configs:
- config_name: fcrb
data_files:
- split: test
path: data/fcrb.jsonl
- config_name: cfb
data_files:
- split: test
path: data/cfb.jsonl
- config_name: fintrace
data_files:
- split: test
path: data/fintrace.jsonl
- config_name: fcrb_relocate
data_files:
- split: test
path: data/fcrb_relocate.jsonl
---
# DeRef tool-call argument verification sets
Evaluation data for the paper **"Judges Follow the Reference: The Derivation Gap in Verifying Tool-Call Arguments"**
. The three benchmark files hold exactly the argument-level analysis sets behind the main-body tables and
figures of the paper: tool calls made by an assistant at one step of a task, each paired with a correct or a wrong call,
with every argument labelled `correct` / `wrong` and assigned a derivation path (where in the context the value can be
found). `data/fcrb_relocate.jsonl` is the controlled set FCRB-Relocate of Figure 2a (see the last section).
```python
from datasets import load_dataset
fcrb = load_dataset("lm2445/DeRef", "fcrb", split="test")
```
Three configs, one per source benchmark:
| config | source | file |
|---|---|---|
| `fcrb` | FC-RewardBench (single-turn BFCL v3 tasks) | `data/fcrb.jsonl` |
| `cfb` | ComplexFuncBench (multi-step booking tasks) with model trajectories from AgentSuite | `data/cfb.jsonl` |
| `fintrace` | FinTrace (multi-step financial-data tasks) | `data/fintrace.jsonl` |
| `fcrb_relocate` | controlled set built from FC-RewardBench (Figure 2a) | `data/fcrb_relocate.jsonl` |
`data/bootstrap_clusters.json` lists, per dataset, the full sorted universe of query ids that the paper's
cluster bootstrap draws over.
## Citation
```bibtex
@misc{ma2026judgesfollowreferencederivation,
title={Judges Follow the Reference: The Derivation Gap in Verifying Tool-Call Arguments},
author={Linhai Ma and Yan Wang and Lingfei Qian and Yupeng Cao and Victor Gutierrez Basulto},
year={2026},
eprint={2610.18497},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2610.18497},
}
```
Please also cite the source benchmarks (FC-RewardBench, BFCL, ComplexFuncBench, FinTrace) and the AgentSuite
trajectories.