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APScheduler
black
datasets
gradio
gradio[oauth]
gradio_leaderboard==0.0.13
gradio_client
huggingface-hub>=0.18.0
matplotlib
numpy
pandas
python-dateutil
tqdm
transformers
tokenizers>=0.15.0
sentencepiece

Start the configuration

Most of the variables to change for a default leaderboard are in src/env.py (replace the path for your leaderboard) and src/about.py (for tasks).

Results files should have the following format and be stored as json files:

{
    "config": {
        "model_dtype": "torch.float16", # or torch.bfloat16 or 8bit or 4bit
        "model_name": "path of the model on the hub: org/model",
        "model_sha": "revision on the hub",
    },
    "results": {
        "task_name": {
            "metric_name": score,
        },
        "task_name2": {
            "metric_name": score,
        }
    }
}

Request files are created automatically by this tool.

If you encounter problem on the space, don't hesitate to restart it to remove the create eval-queue, eval-queue-bk, eval-results and eval-results-bk created folder.

Code logic for more complex edits

You'll find

  • the main table' columns names and properties in src/display/utils.py
  • the logic to read all results and request files, then convert them in dataframe lines, in src/leaderboard/read_evals.py, and src/populate.py
  • the logic to allow or filter submissions in src/submission/submit.py and src/submission/check_validity.py
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