Update README.md

README.md

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----
-license: mit
-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: train
-    num_bytes: 14529673
-    num_examples: 9759
-  download_size: 6044862
-  dataset_size: 14529673
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+---
+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{}
+```