stabletoolbench/ToolEnv2404
This is the tool set of we crawled in Apr 2404 in the ToolBench format and used to train the StableToolBench-Mirror API model. To use this tool set, download the .tar.gz file and unzip it with tar xzvf toolenv2404_filtered.tar.gz and copy the path of the tools folder in the running script of ToolBench. For example, export TOOLBENCH_KEY="" export OPENAI_KEY="" export OPENAI_API_BASE="" export PYTHONPATH=./ export GPT_MODEL="gpt-3.5-turbo-16k" export SERVICE_URL="http://localhost:8080/virtual"… See the full description on the dataset page: https://huggingface.co/datasets/stabletoolbench/ToolEnv2404.
This is the tool set of we crawled in Apr 2404 in the ToolBench format and used to train the StableToolBench-Mirror API model. To use this tool set, download the .tar.gz file and unzip it with tar xzvf toolenv2404_filtered.tar.gz and copy the path of the tools folder in the running script of ToolBench. For example,
export TOOLBENCH_KEY=""
export OPENAI_KEY=""
export OPENAI_API_BASE=""
export PYTHONPATH=./
export GPT_MODEL="gpt-3.5-turbo-16k"
export SERVICE_URL="http://localhost:8080/virtual"
export OUTPUT_DIR="data/answer/virtual_chatgpt_cot"
group=G1_instruction
mkdir -p $OUTPUT_DIR; mkdir -p $OUTPUT_DIR/$group
python toolbench/inference/qa_pipeline_multithread.py \
--tool_root_dir toolenv/toolenv2404_filtered \ # This is the place where you fill the path to the tools folder.
--backbone_model chatgpt_function \
--openai_key $OPENAI_KEY \
--max_observation_length 1024 \
--method CoT@1 \
--input_query_file solvable_queries/test_instruction/${group}.json \
--output_answer_file $OUTPUT_DIR/$group \
--toolbench_key $TOOLBENCH_KEY \
--num_thread 1