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Data · dataset · 2022

nlp-guild/non-linear-classification

Listed in Hugging Face Datasets

Description

please use the following code to load data: # start data loading !git lfs install !git clone huggingface.co/datasets/nlp-guild/non-linear-classification def load_dataset(path='dataset.npy'): """ :return: f_and_xs: numpy array of size [sample_number, channels, sample_length] label_0, label_1, label_2: one-hot encodes of size [sample_number, number_bins] """ r = np.load(path, allow_pickle=True).item() f_and_xs = r['f_and_xs'] label_0 = r['l_0']… See the full description on the dataset page: huggingface.co/datasets/nlp-guild/non-linear-classification.

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Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsnlp-guild/non-linear-classification15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0