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* prepare execution and inference * Create README.md * Update README.md * Update evaluation/biocoder/README.md * Update evaluation/swe_bench/swe_env_box.py * switch to biocoder docker container and test-specific code * code for copying and running test files into container * add metrics * add readme * Biocoder evaluation code finished (rewrite testing infrastructure, prompt tuning, and bug fixes) * Update README.md --------- Co-authored-by: lilbillybiscuit <qianbill2014@outlook.com> Co-authored-by: Yufan Song <33971064+yufansong@users.noreply.github.com> Co-authored-by: yufansong <yufan@risingwave-labs.com>
Evaluation
This folder contains code and resources to run experiments and evaluations.
Logistics
To better organize the evaluation folder, we should follow the rules below:
- Each subfolder contains a specific benchmark or experiment. For example,
evaluation/swe_benchshould contain all the preprocessing/evaluation/analysis scripts. - Raw data and experimental records should not be stored within this repo.
- For model outputs, they should be stored at this huggingface space for visualization.
- Important data files of manageable size and analysis scripts (e.g., jupyter notebooks) can be directly uploaded to this repo.
Supported Benchmarks
- SWE-Bench:
evaluation/swe_bench - ML-Bench:
evaluation/ml_bench - HumanEvalFix:
evaluation/humanevalfix - GAIA:
evaluation/gaia - Entity deduction Arena (EDA):
evaluation/EDA - MINT:
evaluation/mint - AgentBench:
evaluation/agent_bench - BIRD:
evaluation/bird - LogicReasoning:
evaluation/logic_reasoning
Result Visualization
Check this huggingface space for visualization of existing experimental results.
Upload your results
You can start your own fork of our huggingface evaluation outputs and submit a PR of your evaluation results to our hosted huggingface repo via PR following the guide here.