The source code and dataset mentioned in the paper Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark.
https://arxiv.org/abs/2405.08355
🎉 Our paper has been accepted for presentation at the NLPCC 2024 conference.🎉
https://link.springer.com/chapter/10.1007/978-981-97-9434-8_29
It contains the source code for our self-instruct dataset construction method. You can try to build up more relevant datasets with it.
Our dataset construction attempt.
Our code for evaluating the tool-calling capabilities of Large Language Models, just for reference because it's not well organized so far.
The eval metrics calculating function calculate_score_ToolLearning is in ./LLM_Evaluation/src/llm_tools/evaluation/calculate.py
The data for training the retriever DPR.
The code is from https://github.com/facebookresearch/DPR .