| --- |
| dataset_info: |
| features: |
| - name: agent_id |
| dtype: string |
| - name: platform_name |
| dtype: string |
| - name: agent_name |
| dtype: string |
| - name: agent_description |
| dtype: string |
| - name: agent_category |
| dtype: string |
| - name: agent_usage |
| dtype: string |
| - name: usage_example |
| dtype: float64 |
| - name: agent_url |
| dtype: string |
| - name: agent_accessibility |
| dtype: string |
| - name: agent_pricing |
| dtype: string |
| - name: base_model |
| dtype: string |
| - name: update_time |
| dtype: string |
| - name: misc |
| dtype: string |
| - name: platform_id |
| dtype: string |
| splits: |
| - name: agents |
| num_bytes: 14529673 |
| num_examples: 9759 |
| download_size: 6044862 |
| dataset_size: 14529673 |
| configs: |
| - config_name: default |
| data_files: |
| - split: agents |
| path: data/train-* |
| --- |
| |
| # AgentSearchBench Agents |
|
|
| **AgentSearchBench** is a large-scale benchmark for AI agent search, built from nearly 10,000 real-world agents sourced from the [GPT Store](https://chatgpt.com/gpts), [Google Cloud Marketplace](https://cloud.google.com/marketplace), and [AgentAI Platform](https://agent.ai/). |
|
|
| 🌐 [Project Page](https://bingo-w.github.io/AgentSearchBench) • 💻 [Codebase](https://github.com/Bingo-W/AgentSearchBench) |
|
|
| --- |
|
|
| ## Overview |
|
|
| This repository contains **AgentBase**, the agent corpus underlying AgentSearchBench. It comprises 9,759 real-world AI agents crawled from public platforms, capturing practical challenges such as capability overlap and inconsistent documentation that reflect the complexity of real agent ecosystems. |
|
|
| Each agent entry includes metadata such as name, description, capabilities, and platform of origin, forming the candidate pool against which benchmark tasks are evaluated. |
|
|
| --- |
|
|
| ## Dataset Statistics |
|
|
| | Platform | Description | |
| |----------|-------------| |
| | GPT Store | Custom GPT agents from OpenAI's public marketplace | |
| | Google Cloud Marketplace | Cloud-native agents and tools | |
| | AgentAI Platform | General-purpose agents from agent.ai | |
|
|
| | Total Agents | |
| |---| |
| | 9,759 | |
|
|
| --- |
|
|
| ## Data Fields |
|
|
| - `agent_id`: Unique identifier for the agent. |
| - `platform_name`: Name of the platform where the agent is hosted. |
| - `agent_name`: Display name of the agent. |
| - `agent_description`: Text description of the agent's purpose and capabilities. |
| - `agent_category`: Category or domain the agent belongs to. |
| - `agent_usage`: Instructions or notes on how to use the agent. |
| - `usage_example`: Example input or interaction demonstrating the agent's functionality. |
| - `agent_url`: URL linking to the agent's page on its host platform. |
| - `agent_accessibility`: Accessibility status of the agent, e.g. public or restricted. |
| - `agent_pricing`: Pricing model or cost information associated with using the agent. |
| - `base_model`: Underlying language model powering the agent. |
| - `update_time`: Timestamp of the agent's last update. |
| - `misc`: Miscellaneous metadata not captured by other fields. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("AgentSearch/AgentSearchBench-Agents") |
| ``` |
|
|
| --- |
|
|
| ## Related Datasets |
|
|
| | Dataset | Description | |
| |---------|-------------| |
| | [AgentSearchBench-Tasks](https://huggingface.co/datasets/AgentSearch/AgentSearchBench-Tasks) | Benchmark tasks: single-agent queries, multi-agent queries, and task descriptions | |
| | [AgentSearchBench-Responses](https://huggingface.co/datasets/AgentSearch/AgentSearchBench-Responses) | 60K+ raw agent execution responses from the validation set | |
|
|
| --- |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{} |
| ``` |
|
|
