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README.md
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- protein
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- multimodal
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- foundation-model
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---
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<!--
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| `config.json` | Architecture + modality configuration consumed by `load_pretrained`. |
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| `model.safetensors` | Model weights (bf16). |
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## Training data
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`TODO: summarize the pretraining corpus (sources, modalities, scale).`
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- protein
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- multimodal
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- foundation-model
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datasets:
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- polymathic-ai/MIMIC-examples
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- polymathic-ai/MIMIC-rasp2-phylop-val
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---
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<!--
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| `config.json` | Architecture + modality configuration consumed by `load_pretrained`. |
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| `model.safetensors` | Model weights (bf16). |
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## Example data
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Ready-to-run examples (linked in the sidebar under **Datasets**):
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- [`polymathic-ai/MIMIC-examples`](https://huggingface.co/datasets/polymathic-ai/MIMIC-examples)
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— a small set of matched multimodal rows (25 modalities) in both raw and tokenized
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form, for quickstart / embedding / generation.
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- [`polymathic-ai/MIMIC-rasp2-phylop-val`](https://huggingface.co/datasets/polymathic-ai/MIMIC-rasp2-phylop-val)
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— the full tokenized `rasp2` + `phylop_human` validation split (104,722 rows).
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```python
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from datasets import load_dataset
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ds = load_dataset("polymathic-ai/MIMIC-examples")
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```
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## Training data
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`TODO: summarize the pretraining corpus (sources, modalities, scale).`
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