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""" |
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Add Artificial Analysis evaluations to a Hugging Face model card. |
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USAGE: |
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AA_API_KEY="<your-api-key>" HF_TOKEN="<your-huggingface-token>" \ |
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uv run https://huggingface.co/datasets/burtenshaw/aa-to-hub/resolve/main/main.py \ |
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--creator-slug <artificial-analysis-creator-slug> \ |
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--model-name <artificial-analysis-model-name> \ |
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--repo-id <huggingface-repo-id> |
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""" |
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import argparse |
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import os |
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import requests |
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import dotenv |
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from huggingface_hub import ModelCard |
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dotenv.load_dotenv() |
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API_KEY = os.getenv("AA_API_KEY") |
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HF_TOKEN = os.getenv("HF_TOKEN") |
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URL = "https://artificialanalysis.ai/api/v2/data/llms/models" |
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HEADERS = {"x-api-key": API_KEY} |
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if not API_KEY: |
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raise ValueError("AA_API_KEY is not set") |
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if not HF_TOKEN: |
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raise ValueError("HF_TOKEN is not set") |
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def get_model_evaluations_data(creator_slug, model_name): |
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response = requests.get(URL, headers=HEADERS) |
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response_data = response.json()["data"] |
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for model in response_data: |
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if ( |
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model["model_creator"]["slug"] == creator_slug |
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and model["slug"] == model_name |
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): |
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return model |
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raise ValueError(f"Model {model_name} not found") |
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def aa_evaluations_to_model_index( |
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model, |
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dataset_name="Artificial Analysis Benchmarks", |
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dataset_type="artificial_analysis", |
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task_type="evaluation", |
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): |
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if not model: |
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raise ValueError("Model data is required") |
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model_name = model.get("name", model.get("slug", "unknown-model")) |
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evaluations = model.get("evaluations", {}) |
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metrics = [] |
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for key, value in evaluations.items(): |
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metrics.append( |
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{ |
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"name": key.replace("_", " ").title(), |
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"type": key, |
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"value": value, |
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} |
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) |
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model_index = [ |
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{ |
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"name": model_name, |
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"results": [ |
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{ |
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"task": {"type": task_type}, |
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"dataset": {"name": dataset_name, "type": dataset_type}, |
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"metrics": metrics, |
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"source": { |
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"name": "Artificial Analysis API", |
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"url": "https://artificialanalysis.ai", |
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}, |
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} |
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], |
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} |
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] |
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return model_index |
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def main(): |
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parser = argparse.ArgumentParser() |
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parser.add_argument("--creator-slug", type=str, required=True) |
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parser.add_argument("--model-name", type=str, required=True) |
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parser.add_argument("--repo-id", type=str, required=True) |
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args = parser.parse_args() |
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aa_evaluations_data = get_model_evaluations_data( |
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creator_slug=args.creator_slug, model_name=args.model_name |
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) |
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model_index = aa_evaluations_to_model_index(model=aa_evaluations_data) |
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card = ModelCard.load(args.repo_id) |
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card.data["model-index"] = model_index |
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commit_message = ( |
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f"Add Artificial Analysis evaluations for {args.model_name}" |
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) |
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commit_description = ( |
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f"This commit adds the Artificial Analysis evaluations for the {args.model_name} model to this repository. " |
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"To see the scores, visit the [Artificial Analysis](https://artificialanalysis.ai) website." |
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) |
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card.push_to_hub( |
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args.repo_id, |
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token=HF_TOKEN, |
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commit_message=commit_message, |
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commit_description=commit_description, |
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create_pr=True, |
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) |
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if __name__ == "__main__": |
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main() |
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