Synthetic phone dialogues between AI agents simulate scam and non-scam interactions, with each conversation labeled for its category. The dataset was created by BothBosu and was last updated on June 30, 2024. Its specific size and column details are not provided in the input.
Use Cases
- Train scam detection models based on labeled scam and non-scam dialogues.
- Benchmark multi-agent conversational systems based on simulated phone interactions.
- Analyze linguistic patterns in fraudulent conversations based on the synthetic dialogue structure.
Strengths
- Each dialogue is explicitly labeled as a scam or non-scam interaction.
- Dataset was last updated on 2024-06-30 13:08:57.
Limitations
- Row count, column definitions, and file formats are unknown.
- Description metadata is limited; actual data quality requires manual inspection after download.
- Data is synthetic, which may not fully capture the nuances of real-world scam calls.
Provenance
- Source
- BothBosu on Hugging Face
- Collection Method
- Simulated phone conversations generated between two AI agents.
- Time Range
- null
- Freshness
- Last updated 2024-06-30 13:08:57; freshness should be verified.
- Geography
- null