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| title: GIFT Eval | |
| emoji: 🥇 | |
| colorFrom: green | |
| colorTo: indigo | |
| sdk: gradio | |
| app_file: app.py | |
| pinned: true | |
| license: apache-2.0 | |
| short_description: 'GIFT-Eval: A Benchmark for General Time Series Forecasting' | |
| sdk_version: 4.44.0 | |
| # 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: | |
| ```json | |
| { | |
| "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` | |