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sts_bert_distilroberta-base_cos_dist_ORTHOGONAL_z_False_n_False_c_False_seed7_newsgroups_test.h5 (24.91 MB)
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sts_bert_distilroberta-base_cos_dist_ORTHOGONAL_z_False_n_False_c_False_seed10_newsgroups_train.h5 (37.27 MB)
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sts_bert_distilroberta-base_cos_dist_ORTHOGONAL_z_False_n_False_c_False_seed12_newsgroups_train.h5 (37.27 MB)
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sts_bert_distilroberta-base_cos_dist_ORTHOGONAL_z_False_n_False_c_False_seed13_newsgroups_train.h5 (37.27 MB)
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sts_bert_distilroberta-base_cos_dist_ORTHOGONAL_z_False_n_False_c_False_seed22_newsgroups_train.h5 (37.27 MB)
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sts_bert_distilroberta-base_cos_dist_ORTHOGONAL_z_False_n_False_c_False_seed23_newsgroups_train.h5 (37.27 MB)
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sts_bert_distilroberta-base_cos_dist_ORTHOGONAL_z_False_n_False_c_False_seed42_newsgroups_train.h5 (37.27 MB)
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sts_bert_distilroberta-base 20 newsgroups embeddings

dataset
posted on 2023-05-03, 13:22 authored by Beatrix Miranda Ginn NielsenBeatrix Miranda Ginn Nielsen

Text embeddings for the 20 Newsgroups dataset

The 20 newsgroups dataset can be fetched through scikit-learn which fetches data from the 20 newsgroups website (http://qwone.com/~jason/20Newsgroups).


Embeddings are made with sentence BERT models where distilroberta-base (https://huggingface.co/distilroberta-base) is used as the base model. 


For more details on models, see the model item: 10.11583/DTU.20708785






Funding

Danish Pioneer Centre for AI, DNRF grant number P1

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