Associated paper: Sep 2026
Dataset
Open-Jev CallScreenBench judgments
Voice & Phone Scams
About this dataset
82 generated test calls covering 41 CallScreenBench scenarios and two scripted secretaries, with 577 per-turn labels.
Associated paper: Open-Jev Judgments on CallScreenBench: Calibrated One-Pass Scam Screening with a Small Language Model
Citations
This citation references the associated paper: Open-Jev Judgments on CallScreenBench: Calibrated One-Pass Scam Screening with a Small Language Model.
@misc{ren2026openjevjudgmentscallscreenbenchcalibrated,
title = {{Open-Jev Judgments on CallScreenBench: Calibrated One-Pass Scam Screening with a Small Language Model}},
author = {Simiao Ren and Kidus Zewde and Xingyu Shen and Yuchen Zhou and Dennis Ng and Ankit Raj and Tommy Duong and Yuxin Zhang and Neo Tiangratanakul},
year = {2026},
howpublished = {arXiv:2609.23959},
eprint = {2609.23959},
archivePrefix = {arXiv},
primaryClass = {cs.CL},
url = {https://arxiv.org/abs/2609.23959},
note = {Dataset page (Scam AI): \url{https://scam.ai/research\#dataset-open-jev-callscreenbench}}
}@misc{scamai-open-jev-callscreenbench,
author = {{Scam AI}},
title = {{Open-Jev CallScreenBench judgments: Dataset Access Page}},
year = {n.d.},
howpublished = {\url{https://scam.ai/research\#dataset-open-jev-callscreenbench}},
note = {Dataset information and access via Scam AI}
}