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--- |
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dataset_info: |
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features: |
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- name: sequence |
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dtype: large_string |
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splits: |
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- name: train |
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num_bytes: 45299669517.08662 |
|
num_examples: 207228723 |
|
- name: valid |
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num_bytes: 2185974.456691827 |
|
num_examples: 10000 |
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- name: test |
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num_bytes: 2916145.0439189114 |
|
num_examples: 13340 |
|
download_size: 44647931388 |
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dataset_size: 45304771636.587234 |
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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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- split: valid |
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path: data/valid-* |
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- split: test |
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path: data/test-* |
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--- |
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## OMGProt50 with evaluation splits |
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Thanks [Tatta Bio](https://huggingface.co/tattabio) for putting together such an amazing dataset! |
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To create this version we removed IDs to save space and added the evaluations sets. |
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See [here](https://huggingface.co/datasets/Synthyra/omg_prot50_packed) for a pretokenized version |
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We add validation and test sets for evalution purposes, including [ESM2 speed runs](https://github.com/Synthyra/SpeedRunningESM2). |
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OMG prot50 was clusterd at 50% identity, so random splits are nonredundant to the training set by default. |
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Random splits of 10,000 make up the base components of the validation and test sets. |
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To the test set, we also add all new Uniprot entries since OMG creation that have transcript level evidence after dedpulication. |
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[Code](https://github.com/Synthyra/SpeedRunningESM2/blob/master/data/create_omgprot50_splits.py) |
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