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--- |
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license: mit |
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language: |
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- en |
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--- |
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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, |
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```bash |
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export TOOLBENCH_KEY="" |
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export OPENAI_KEY="" |
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export OPENAI_API_BASE="" |
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export PYTHONPATH=./ |
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export GPT_MODEL="gpt-3.5-turbo-16k" |
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export SERVICE_URL="http://localhost:8080/virtual" |
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export OUTPUT_DIR="data/answer/virtual_chatgpt_cot" |
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group=G1_instruction |
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mkdir -p $OUTPUT_DIR; mkdir -p $OUTPUT_DIR/$group |
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python toolbench/inference/qa_pipeline_multithread.py \ |
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--tool_root_dir toolenv/toolenv2404_filtered \ # This is the place where you fill the path to the tools folder. |
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--backbone_model chatgpt_function \ |
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--openai_key $OPENAI_KEY \ |
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--max_observation_length 1024 \ |
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--method CoT@1 \ |
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--input_query_file solvable_queries/test_instruction/${group}.json \ |
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--output_answer_file $OUTPUT_DIR/$group \ |
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--toolbench_key $TOOLBENCH_KEY \ |
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--num_thread 1 |
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``` |
