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@@ -99,46 +99,4 @@ dataset/
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  ## Intended Use and Evaluation
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  - Samples: for display and qualitative understanding; not for model training.
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  - Protected: for local algorithms to run against machine-readable features.
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- - Evaluation: submit results (e.g., `submission.json`) for scoring against hidden GroundTruth.
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-
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- ## Quick Start (How Others Can Load This Dataset)
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-
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- Install dependency:
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-
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- ```bash
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- pip install datasets
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- ```
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-
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- Load from local script (before upload):
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-
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- ```python
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- from datasets import load_dataset
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-
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- # samples mode
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- samples = load_dataset("./photobench.py", "samples", trust_remote_code=True)
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- print(samples["test"][0])
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-
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- # protected mode
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- protected = load_dataset("./photobench.py", "protected", trust_remote_code=True)
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- print(protected["test"][0])
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- ```
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-
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- Load from Hugging Face Hub (after upload):
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-
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- ```python
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- from datasets import load_dataset
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-
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- # replace with your real repo id
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- samples = load_dataset("your-hf-username/PhotoBench", "samples", trust_remote_code=True)
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- protected = load_dataset("your-hf-username/PhotoBench", "protected", trust_remote_code=True)
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- ```
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-
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- Dataset page URL (after upload):
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-
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- ```text
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- https://huggingface.co/datasets/your-hf-username/PhotoBench
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- ```
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-
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- If YAML front matter is valid and files are uploaded correctly, the Hub will show a dataset page with viewer tabs for available configs.
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- For privacy and compliance notes, refer to the project’s instruction documents.
 
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  ## Intended Use and Evaluation
100
  - Samples: for display and qualitative understanding; not for model training.
101
  - Protected: for local algorithms to run against machine-readable features.
102
+ - Evaluation: submit results (e.g., `submission.json`) for scoring against hidden GroundTruth.