OSWorld/evaluation_examples
Yuan Mengqi 38a30734a6
Improve code logic for password & resolution (#252)
* fix chrome

* fix: fix proxy setup

* feat&fix: add proxy support in setup and remove hardcoded proxy from example

* fix tasks

* fix chrome finished

* fix

* clean chrome_fix code

* clean chrome_fix code

* fix chrome 2888b4e6-5b47-4b57-8bf5-c73827890774

* fix multiapps

* fix chrome 2888b4e6-5b47-4b57-8bf5-c73827890774

* fix some multi_apps tasks

* fix some multi_apps tasks

* fix password&resolution

* fix password&resolution

* Improve code logic for password & resolution

* edit

* Merge branch 'main' into fix_chrome

* fix chrome tasks

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Co-authored-by: adlsdztony <zzl0712@connect.hku.hk>
2025-07-13 21:04:07 +08:00
..
examples Improve code logic for password & resolution (#252) 2025-07-13 21:04:07 +08:00
examples_windows refactor: update URLs in multiple JSON files to ensure proper encoding of special characters 2025-06-07 17:26:45 +00:00
settings fix some multi_apps task (#243) 2025-07-08 18:59:00 +08:00
README.md Server setup readme revision (#108) 2024-11-25 16:30:59 +08:00
test_all.json Fix Duplicate ids; Remove unused JSON files across multiple applications 2025-02-10 15:49:54 +08:00
test_small.json Fix Duplicate ids; Remove unused JSON files across multiple applications 2025-02-10 15:49:54 +08:00

README.md

Evaluation examples

Here we put the data examples to benchmark the ability of agents when interacting with GUI. The examples are stored in ./examples where each data item formatted as:

{
    "id": "uid", # unique id
    "snapshot": "snapshot_id", # the snapshot id of the environment, with some data already there and apps already opened, or just desktop
    "instruction": "natural_language_instruction", # the natural language instruction of the task, what we want the agent to do
    "source": "website_url", # where we know this example, some forum, or some website, or some paper
    "config": {xxx}, # the scripts to setup the donwload and open files actions, as the initial state of a task
    # (coming in next project) "trajectory": "trajectory_directory", # the trajectory directory, which contains the action sequence file, the screenshots and the recording video
    "related_apps": ["app1", "app2", ...], # the related apps, which are opened during the task
    "evaluator": "evaluation_dir", # the directory of the evaluator, which contains the evaluation script for this example
…
}

The ./trajectories file contains the annotated trajectories for each data item in ./examples for finishing the task.

For now, it is under construction, and only tested on Windows 10. Please:

  • Modify the path accordingly to run the evaluation;
  • Remind us if some parts are overfit to our environment.