mosaic-laboratory/dynamic_systems_pretrain
Example Code for Using the Dataset import numpy as np from torch.utils.data import Dataset from datasets import load_dataset class PretrainDataset(Dataset): def __init__(self, window_size=4096, nvar=11): self.window_size = window_size self.nvar = nvar # init dataset self.ds = load_dataset("mosaic-laboratory/dynamic_systems_pretrain") def __len__(self): return sum([len(self.ds[k]) for k in self.ds.keys()]) def… See the full description on the dataset page: https://huggingface.co/datasets/mosaic-laboratory/dynamic_systems_pretrain.
| Author / organization | mosaic-laboratory |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 333 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 11 May 2026 |
| Last updated at source | 18 May 2026 |
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- 17 Oct 2026 Description: Example Code for Using the Dataset import numpy as np from torch.utils.data import Dataset from datasets import load_dataset class PretrainDataset(Dataset): def __init__(self, window_size=4096, nvar=11): self.window_size = window_size self. → Example Code for Using the Dataset import numpy as np from torch.utils.data import Dataset from datasets import load_dataset class PretrainDataset(Dataset): def __init__(self, window_size=4096, nvar=11): self.window_size = window_size self.
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