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bird feabc97aba Evaluation time travel: build sandbox on the fly (#2491) 1 year ago
gaia feabc97aba Evaluation time travel: build sandbox on the fly (#2491) 1 year ago
gorilla feabc97aba Evaluation time travel: build sandbox on the fly (#2491) 1 year ago
gpqa feabc97aba Evaluation time travel: build sandbox on the fly (#2491) 1 year ago
humanevalfix feabc97aba Evaluation time travel: build sandbox on the fly (#2491) 1 year ago
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mint feabc97aba Evaluation time travel: build sandbox on the fly (#2491) 1 year ago
ml_bench feabc97aba Evaluation time travel: build sandbox on the fly (#2491) 1 year ago
regression e89cc8f19b Feat: add stream output to exec_run (#1625) 1 year ago
static b2fdb963b6 Add detailed tutorial for adding new evaluation benchmarks (#1827) 1 year ago
swe_bench b569ba710d docs: Add visualizer instruction for SWE-Bench (#2529) 1 year ago
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utils feabc97aba Evaluation time travel: build sandbox on the fly (#2491) 1 year ago
webarena feabc97aba Evaluation time travel: build sandbox on the fly (#2491) 1 year ago
README.md ebafb702e5 Add ML-Bench Evaluation with OpenDevin (#2015) 1 year ago
TUTORIAL.md 75cecf68e0 docs: update tutorial docs (#1912) 1 year ago
__init__.py 2406b901df feat(SWE-Bench environment) integrate SWE-Bench sandbox (#1468) 1 year ago

README.md

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_bench should contain all the preprocessing/evaluation/analysis scripts.
  • Raw data and experimental records should not be stored within this repo.
  • Important data files of manageable size and analysis scripts (e.g., jupyter notebooks) can be directly uploaded to this repo.

Supported Benchmarks

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.