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README.md

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+# ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases
+
+[![arXiv](https://img.shields.io/badge/arXiv-2306.05301-<COLOR>.svg?style=flat-square)](https://arxiv.org/abs/2306.05301)
+
+`ToolAlpaca` is a framework designed for learning generalized tool-use abilities in compact language models with minimal human supervision. It addresses the challenge of tool learning by generating a tool-use corpus via a multi-agent simulation environment, providing 3.9k tool-use instances from more than 400 tools. 
+
+<div align=center><img src="./figures/pipeline.png" width="600px" /></div>
+
+
+
+## News
+
+- [06/14] We release the ToolAlpaca corpus with 3.9k instances.
+
+
+
+## Data
+
+\* **This work is still in progress. We may update the data as we make progress.**
+
+Data format:
+
+```json
+{
+  "Name": "name, from public-apis",
+  "Description": "description, from public-apis",
+  "Category": "category, from public-apis",
+  "Introduction": "introduction, generated by LLM",
+  "NLDocumentation": "natural language documentation, generated by LLM",
+  "Documentation": "str(json), OpenAPI Specification documentation, generated by LLM",
+  "Instances": [
+    {
+      "Input": "use's init instruction, from use agent",
+      "Actions": [
+        {
+          "Thought": "LLM's thought, from assistant agent",
+          "Action": "function name, from assistant agent",
+          "Action Input": "str(json), parameters, from assistant agent",
+          "Observation": "from [user agent, type check python code, tool executor agent]"
+        }
+      ],
+      "Final Thought": "the final thought before output, from assistant agent",
+      "Output": "final output, from assistant agent"
+    }
+  ]
+}
+```
+
+The case in our paper:
+
+
+```json
+{
+  "Name": "Public Holidays",
+  "Description": "Data on national, regional, and religious holidays via API",
+  "Category": "Calendar",
+  "Introduction": "The Public Holidays API is a user-friendly interface that provides comprehensive information on national, regional, and religious holidays around the world...",
+  "NLDocumentation": "1. Name: getHolidaysByCountry\nDescription: Retrieve a list of holidays for a specific country with dates, descriptions, and types...",
+  "Documentation": "{...}",
+  "Instances": [
+    {
+      "Input": "I'm planning a trip to Japan next year, and I want to avoid any major holidays, so can you tell me the list of holidays in Japan next year?",
+      "Actions": [
+        {
+          "Thought": "I need to know which year the user is referring to.",
+          "Action": "chatWithUser",
+          "Action Input": "{\"Question\": \"Could you please specify the year you are planning your trip for?\"}",
+          "Observation": "The year is 2024."
+        },
+        {
+          "Thought": "I need to get the list of holidays in Japan for 2024.",
+          "Action": "getHolidays",
+          "Action Input": "{\"country\": \"Japan\", \"year\": 2024}",
+          "Observation": "Status Code: 200 Response: {\"holidays\": [{\"name\": \"New Year's Day\", \"date\": \"2024-01-01\", \"type\": \"National\", \"description\": \"...\"}, ...]"
+        }
+      ],
+      "Final Thought": "I have retrieved a list of holidays in Japan for 2024.",
+      "Output": "The list of holidays in Japan for 2024 is New Year's Day (January 1st), Coming of Age Day (January 8th) ..."
+    }
+  ]
+}
+```
+
+
+
+## Citation
+
+If you find our work helpful, please cite as
+
+```bibtex
+@misc{tang2023toolalpaca,
+      title={ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases}, 
+      author={Qiaoyu Tang and Ziliang Deng and Hongyu Lin and Xianpei Han and Qiao Liang and Le Sun},
+      year={2023},
+      eprint={2306.05301},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```