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README.md
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---
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title:
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emoji: 🥇
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short_description: Learderboard to Evaluate Arabic Multimodal Models
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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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- the logic to allow or filter submissions in `src/submission/submit.py` and `src/submission/check_validity.py`
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title: CAMEL-Bench Leaderboard
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emoji: 🥇
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short_description: Learderboard to Evaluate Arabic Multimodal Models
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**Please see paper & code for more information:**
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- https://github.com/mbzuai-oryx/Camel-Bench
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- https://arxiv.org/abs/2410.18976
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