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ihaque
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Nov 11, 2024
rxrx3-core/README.md
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| **RxRx3-core is only 18GB and easily accesible via [Hugging Face](https://huggingface.co/datasets/recursionpharma/rxrx3-core)**. | ||
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| If you'd like to understand more about how to get access to unblinded genes please email [info@rxrx.ai](mailto:info@rxrx.ai). |
ihaque
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Nov 11, 2024
rxrx3-core/README.md
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| ## Deep Learning Embeddings | ||
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| The deep learning embeddings are provided as `OpenPhenom_rxrx3_core_embeddings.parquet` and can be downloaded [from here](https://huggingface.co/datasets/recursionpharma/rxrx3-core/blob/main/OpenPhenom_rxrx3_core_embeddings.parquet) (this is ~ 532 MB). |
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share which model these are derived from
ihaque
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Nov 11, 2024
rxrx3-core/README.md
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| ## Accessing RxRx3-core through Hugging Face API | ||
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| Loading the RxRx3-core image dataset. | ||
| An example of running inference on this dataset with OpenPhenom is provided [here](https://huggingface.co/recursionpharma/OpenPhenom/blob/main/RxRx3-core_inference.ipynb). |
ihaque
reviewed
Nov 11, 2024
README.md
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| - [RxRx19a -- Morphological Imaging Dataset of SARS-CoV-2 viral infection](/rxrx19a) | ||
| - [RxRx19b -- Morphological Imaging of the COVID-19-associated cytokine storm](/rxrx19b) | ||
| - [RxRx3 -- Phenomics Map of Biology](/rxrx3) | ||
| - [RxRx3-core -- Challenge dataset in phenomics](/rxrx3-core) No newline at end of file |
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We should have a better short name than "challenge dataset in phenomics". Ideas?
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Benchmarking dataset for phenomic embedding models
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added description of RxRx3-core