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README.md
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@@ -73,9 +73,11 @@ and load one of the `HematoxLong2022` datasets, e.g.,
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>>> HematoxLong2022 = datasets.load_dataset("maomlab/HematoxLong2022", name = "HematoxLong2022")
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Downloading readme: 100%|██████████| 4.24/4.24 [00:00<00:00, 35.1kkB/s]
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Downloading data: 100%|██████████|
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Generating validation split: 100%|██████████| 610/610 [00:00<00:00, 20229.02 examples/s]
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and inspecting the loaded dataset
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train: Dataset({
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features: ['canonical SMILES', 'label'],
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num_rows: 1330
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validation: Dataset({
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features: ['canonical SMILES', 'Label'],
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num_rows: 610
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>>> HematoxLong2022 = datasets.load_dataset("maomlab/HematoxLong2022", name = "HematoxLong2022")
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Downloading readme: 100%|██████████| 4.24/4.24 [00:00<00:00, 35.1kkB/s]
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Downloading data: 100%|██████████| 24.0k/24.0k [00:00<00:00, 155kB/s]
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Downloading data: 100%|██████████| 71.9k/71.9k [00:00<00:00, 587kB/s]
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Downloading data: 100%|██████████| 33.0k/33.0k [00:00<00:00, 469kB/s]
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Generating test split: 100%|██████████| 442/442 [00:00<00:00, 12705.92 examples/s]
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Generating train split: 100%|██████████| 1.33k/1.33k [00:00<00:00, 43895.91 examples/s]
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Generating validation split: 100%|██████████| 610/610 [00:00<00:00, 20229.02 examples/s]
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and inspecting the loaded dataset
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train: Dataset({
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features: ['canonical SMILES', 'label'],
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num_rows: 1330
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})
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validation: Dataset({
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features: ['canonical SMILES', 'Label'],
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num_rows: 610
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