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@@ -39,4 +39,46 @@ configs:
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  data_files:
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  - split: validation
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  path: "stage2/valid_stage2.parquet"
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  data_files:
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  - split: validation
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  path: "stage2/valid_stage2.parquet"
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+ ---
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+
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+
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+
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+ ### Dataset organization
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+ The OpenGenome dataset is organized in 2 stages, where stage 1 has context length 8k and stage 2 has context length 131k. Each stage has their own datasplits.
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+ ```
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+ - stage1
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+ - train
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+ - validation
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+ - test
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+ - stage2
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+ - train
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+ - validation
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+ - test
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+ ```
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+ ### Instructions to download
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+ You can load a dataset using HF's API, with an example below.
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+ ```
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+ from datasets import load_dataset
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+ stage1_data = load_dataset("LongSafari/open-genome", 'stage1')
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+ # access just the train data
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+ stage_1_train_data = stage1_data['train']
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+ ```
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+ Note: stage 1 training dataset is sharded into separate files due to it's large size.
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+ We also provide a small dataset sample to test out the pipeline if you prefer.
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+ ```
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+ sample_data = load_dataset("LongSafari/open-genome", 'sample')['validation']
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+ ```
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+