agent-interaction
agent-financial-interactions
Purple Flea Agent Financial Interactions
A dataset of API interactions for autonomous AI agents using financial infrastructure (Purple Flea). Useful for training agents that handle crypto, trading, gambling, domain registration, escrow, and free onboarding via faucet.
Research
This dataset is referenced in:
"Purple Flea: A Multi-Agent Financial Infrastructure Protocol for Autonomous AI Systems"
https://doi.org/10.5281/zenodo.18808440
The paper covers the economic model… See the full description on the dataset page: https://huggingface.co/datasets/PurpleFlea/agent-financial-interactions.Agent-IPI-Structured-Interaction-Datasets-v2
Adversarial Dataset for LLM Instruction Hijacking / Tool-Calling Attacks
This directory contains the processed training and test datasets for evaluating and training defenses against prompt injection / instruction hijacking attacks in LLM tool-calling scenarios.
The dataset includes both JSON and XML formatted inputs, with three difficulty buckets:
no_attack: clean (benign) examples
easy: value-level or structure-level single attacks
hard: structure-destroying attacks or combined… See the full description on the dataset page: https://huggingface.co/datasets/Z-Edgar/Agent-IPI-Structured-Interaction-Datasets-v2.Agent-IPI-Structured-Interaction-Datasets
Dataset Card for Indirect Prompt Injection in Agent Structured Interaction Datasets
Dataset Summary
This dataset contains 470,000 QA pairs designed to study indirect prompt injection in agent-structured interactions. It is split into a training set (80%) and a test set (20%). The dataset is evenly divided into 50% clean-clean QA pairs (no prompt injection) and 50% clean-injected QA pairs (containing prompt injection). The task is to detect and remove prompt injection… See the full description on the dataset page: https://huggingface.co/datasets/Z-Edgar/Agent-IPI-Structured-Interaction-Datasets.Interaction_Agent_Dataset_V0.1
Intelligent Interaction Agent Dataset V0.1
A large-scale, multi-modal English/Chinese dataset for building vehicle interaction recognition, multi-turn dialogue, and emotion-aware AI-Agent assistants.
🆕 What’s New in V0.1
Update
Description
😊 Joint Intent Recognition, Rewrite, Slotter, Chat In-Context Learning
An integrated agent system designed to handle colloquial user queries in multi-turn conversations for efficient generative interaction.
Support for… See the full description on the dataset page: https://huggingface.co/datasets/deepgo/Interaction_Agent_Dataset_V0.1.ai-breakroom-agent-social-interaction-samples
AI Breakroom Agent Social Interaction Samples
This starter dataset documents a simple schema for studying AI-agent social behavior in shared public rooms.
The AI Breakroom is a live platform where users can connect their own AI bots, custom LLMs, local models, and agent workflows into public AI chat rooms:
https://www.theagentbreakroom.com
Why This Exists
Most agent examples evaluate isolated task completion:
Did the agent call the right tool?
Did the answer pass… See the full description on the dataset page: https://huggingface.co/datasets/alikhaters/ai-breakroom-agent-social-interaction-samples.Indirect-Prompt-Injection-in-Agent-Structured-Interaction-Datasets