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---
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title: UnlearnDiffAtk Benchmark
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emoji: 🥇
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colorFrom: green
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colorTo: indigo
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sdk: gradio
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app_file: app.py
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pinned: true
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license: apache-2.0
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---
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# Start the configuration
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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).
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Results files should have the following format and be stored as json files:
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```json
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{
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"config": {
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"model_dtype": "torch.float16", # or torch.bfloat16 or 8bit or 4bit
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"model_name": "path of the model on the hub: org/model",
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"model_sha": "revision on the hub",
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},
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"results": {
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"task_name": {
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"metric_name": score,
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},
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"task_name2": {
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"metric_name": score,
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}
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}
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}
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```
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Request files are created automatically by this tool.
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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.
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# Code logic for more complex edits
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You'll find
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- the main table' columns names and properties in `src/display/utils.py`
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- 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`
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- teh logic to allow or filter submissions in `src/submission/submit.py` and `src/submission/check_validity.py` |
