Update README.md (#2)
Browse files- Update README.md (08becb6b8617d118b531e5978e0df7b86d05d75f)
README.md
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To accompany OpenPhenom, Recursion is releasing the **RxRx3-core** dataset, a challenge dataset in phenomics optimized for the research community.
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RxRx3-core includes labeled images of 735 genetic knockouts and 1,674 small-molecule perturbations drawn from the [RxRx3 dataset](https://www.rxrx.ai/rxrx3),
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image embeddings computed with [OpenPhenom](https://huggingface.co/recursionpharma/OpenPhenom), and associations between the included small molecules and genes.
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@@ -24,23 +44,3 @@ open_phenom_embeddings = pd.read_parquet(file_path_embs)
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rxrx3_core_metadata = pd.read_csv(file_path_metadata)
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```
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Benchmarking code for this dataset is provided in the [EFAAR benchmarking repo](https://github.com/recursionpharma/EFAAR_benchmarking/tree/trunk/RxRx3-core_benchmarks).
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---
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dataset_info:
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features:
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- name: __key__
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dtype: string
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- name: jp2
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dtype: image
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splits:
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- name: train
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num_bytes: 17489993120.108
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num_examples: 1335606
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download_size: 17390577507
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dataset_size: 17489993120.108
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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---
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dataset_info:
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features:
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- name: __key__
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dtype: string
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- name: jp2
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dtype: image
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splits:
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- name: train
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num_bytes: 17489993120.108
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num_examples: 1335606
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download_size: 17390577507
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dataset_size: 17489993120.108
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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To accompany OpenPhenom, Recursion is releasing the **RxRx3-core** dataset, a challenge dataset in phenomics optimized for the research community.
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RxRx3-core includes labeled images of 735 genetic knockouts and 1,674 small-molecule perturbations drawn from the [RxRx3 dataset](https://www.rxrx.ai/rxrx3),
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image embeddings computed with [OpenPhenom](https://huggingface.co/recursionpharma/OpenPhenom), and associations between the included small molecules and genes.
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rxrx3_core_metadata = pd.read_csv(file_path_metadata)
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```
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Benchmarking code for this dataset is provided in the [EFAAR benchmarking repo](https://github.com/recursionpharma/EFAAR_benchmarking/tree/trunk/RxRx3-core_benchmarks).
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