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Switch Space SDK gradio -> static
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README.md
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title: Arabic LLM Leaderboard
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emoji: 🏆
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colorFrom: green
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colorTo:
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sdk:
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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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short_description: Benchmarking LLMs on Modern Standard Arabic
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sdk_version: 5.43.1
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tags:
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- leaderboard
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- arabic
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- evaluation
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---
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#
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(
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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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"reasoning_logic": {"acc": 0.559},
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"generation_instruction": {"acc": 0.617},
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"sentiment_emotion_meaning": {"acc": 0.884},
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"safety_trust_bias": {"acc": 0.820},
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"arabic_language_understanding": {"acc": 0.638},
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"knowledge_stem": {"acc": 0.784},
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"multi_turn_dialogue": {"acc": 0.703},
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"biology": {"acc": 0.0},
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"islam": {"acc": 0.0},
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"medicine": {"acc": 0.0},
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"completion": {"acc": 0.80},
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"contextual": {"acc": 0.74},
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"semantic": {"acc": 0.77}
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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: Arabic LLM Leaderboard
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emoji: 🏆
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colorFrom: green
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colorTo: yellow
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sdk: static
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pinned: true
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license: apache-2.0
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short_description: Benchmarking LLMs on Modern Standard Arabic
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tags:
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- leaderboard
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- arabic
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- evaluation
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---
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# Arabic LLM Leaderboard
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A static single-page leaderboard for Arabic (Modern Standard Arabic) LLMs. It reads results
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live (client-side) from the **[Mushari440/results](https://huggingface.co/datasets/Mushari440/results)**
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dataset and the evaluation queue from **[Mushari440/requests](https://huggingface.co/datasets/Mushari440/requests)**.
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Each model is scored on 13 capability & domain dimensions; the headline **Average** is the
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**item-weighted** mean (every one of the 29,417 benchmark items counts equally). No server,
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no framework — just `index.html`, so it never breaks from dependency drift.
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