Authors: Sasun Hambardzumyan, Activeloop, Mountain View, CA, USA; Abhinav Tuli, Activeloop, Mountain View, CA, USA; Levon Ghukasyan, Activeloop, Mountain View, CA, USA; Fariz Rahman, Activeloop, Mountain View, CA, USA;.
Deep Lake datasets follow columnar storage architecture, with tensors as columns, as shown in Fig. 3. Each tensor is a collection of chunks - binary blobs that contain the data samples. An index map associated with each tensor helps find the right chunk and index of the sample within that chunk for a given sample index. 3.1 Dataset A sample in a dataset represents a single row indexed across parallel tensors.
Deep Lake datasets follow columnar storage architecture, with tensors as columns, as shown in Fig. 3. Each tensor is a collection of chunks - binary blobs that contain the data samples. An index map associated with each tensor helps find the right chunk and index of the sample within that chunk for a given sample index. 3.1 Dataset A sample in a dataset represents a single row indexed across parallel tensors.
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