BothBosu/single-agent-scam-conversations
Synthetic Multi-Turn Scam and Non-Scam Phone Conversation Dataset Dataset Description The dataset is designed to help develop and evaluate models for detecting and classifying various types of phone-based scams. Dataset Structure The dataset consists of three columns: dialogue: The transcribed conversation between the caller and receiver. type: The specific type of scam or non-scam interaction. labels: A binary label indicating whether the… See the full description on the dataset page: https://huggingface.co/datasets/BothBosu/single-agent-scam-conversations.
| Author / organization | BothBosu |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 135 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 8 August 2024 |
| Last updated at source | 23 August 2024 |
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135 now (+2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 16 Oct 2026 Description: Synthetic Multi-Turn Scam and Non-Scam Phone Conversation Dataset Dataset Description The dataset is designed to help develop and evaluate models for detecting and classifying various types of phone-based scams. Dataset Structure The datase → Synthetic Multi-Turn Scam and Non-Scam Phone Conversation Dataset Dataset Description The dataset is designed to help develop and evaluate models for detecting and classifying various types of phone-based scams. Dataset Structure The datase
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