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0c829cd067
* adding draft evaluation code for EDA, using chatgpt as the temporal agent for now * Update README.md * Delete frontend/package.json * reverse the irrelevant changes * reverse package.json * use chatgpt as the codeactagent * integrate with opendevin * Update evaluation/EDA/README.md * Update evaluation/EDA/README.md * Use poetry to manage packages * integrate with opendevin * minor update * minor update * update poetry * update README * clean-up infer scripts * add run_infer script and improve readme * log final success and final message & ground truth --------- Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Xingyao Wang <xingyao6@illinois.edu> Co-authored-by: yufansong <yufan@risingwave-labs.com> Co-authored-by: Boxuan Li <liboxuan@connect.hku.hk>
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 - HumanEvalFix:
evaluation/humanevalfix - GAIA:
evaluation/gaia - Entity deduction Arena (EDA):
evaluation/EDA
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.