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README.md
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- split: train
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path: data/train-*
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- split: train
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path: data/train-*
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# dataproc5/test-danbooru2025-tag-balanced-210k
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A test dataset of balanced 2100k rows from danbooru2025, aiming to maximize common knowledege per image under limited data or compute scope.
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```python
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balanced_df = select_balanced_images(dbr_df, tag_counts_monthly_df, tags_thres=1800, max_images=500_000, max_tag_proportion=0.08, random_seed=42)
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ub.saves(balanced_df, "hf://dataproc5/test-danbooru2025-tag-balanced-210k", private=False)
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```
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The `balanced-60k` subset is a moderate-sized dataset compared to [balanced-2k](https://huggingface.co/datasets/dataproc5/test-danbooru2025-tag-balanced-2k) or [balanced-10k](https://huggingface.co/datasets/dataproc5/test-danbooru2025-tag-balanced-10k) or [balanced-60k](https://huggingface.co/datasets/dataproc5/test-danbooru2025-tag-balanced-60k), and is targeted for:
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- medium-sized model finetunes
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- quick model arch experiments
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- classifier / aesthetic predictor evaluations
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