MLRS/MELABench

1---2title: Maltese MELABench Leaderboard 🇲🇹3emoji: 🥇🇲🇹4colorFrom: gray5colorTo: red6sdk: gradio7app_file: app.py8pinned: true9license: apache-2.010tags:11  - leaderboard12short_description: Evaluation of language models on Maltese tasks13sdk_version: 5.19.014---15 16# Start the configuration17 18Most 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).19 20Results files should have the following format and be stored as json files:21```json22{23    "config": {24        "model_dtype": "torch.float16", # or torch.bfloat16 or 8bit or 4bit25        "model_name": "path of the model on the hub: org/model",26        "model_sha": "revision on the hub",27    },28    "results": {29        "task_name": {30            "metric_name": score,31        },32        "task_name2": {33            "metric_name": score,34        }35    }36}37```38 39Request files are created automatically by this tool.40 41If 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.42 43# Code logic for more complex edits44 45You'll find 46- the main table' columns names and properties in `src/display/utils.py`47- 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`48- the logic to allow or filter submissions in `src/submission/submit.py` and `src/submission/check_validity.py`