- h
test
- huggingface.co
Updated Sep 27, 2016
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EmailClick to copy linkLink copiedCiteDigitalBrainLab (2016). test [Dataset]. https://huggingface.co/datasets/DBL/testCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedSep 27, 2016Dataset authored and provided byDigitalBrainLabDescriptionThe WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License. Compared to the preprocessed version of Penn Treebank (PTB), WikiText-2 is over 2 times larger and WikiText-103 is over 110 times larger. The WikiText dataset also features a far larger vocabulary and retains the original case, punctuation and numbers -… See the full description on the dataset page: https://huggingface.co/datasets/DBL/test.
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WikiText-2 Dataset
- paperswithcode.com
- opendatalab.com
- +1more
Updated Dec 13, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteStephen Merity; Caiming Xiong; James Bradbury; Richard Socher (2023). WikiText-2 Dataset [Dataset]. https://paperswithcode.com/dataset/wikitext-2Dataset updatedDec 13, 2023AuthorsStephen Merity; Caiming Xiong; James Bradbury; Richard SocherDescriptionThe WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License.
Compared to the preprocessed version of Penn Treebank (PTB), WikiText-2 is over 2 times larger and WikiText-103 is over 110 times larger. The WikiText dataset also features a far larger vocabulary and retains the original case, punctuation and numbers - all of which are removed in PTB. As it is composed of full articles, the dataset is well suited for models that can take advantage of long term dependencies.
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WikiText-103 Dataset
- paperswithcode.com
- opendatalab.com
Updated Oct 2, 2016ShareFacebookTwitterEmailClick to copy linkLink copiedCiteStephen Merity; Caiming Xiong; James Bradbury; Richard Socher (2016). WikiText-103 Dataset [Dataset]. https://paperswithcode.com/dataset/wikitext-103Dataset updatedOct 2, 2016AuthorsStephen Merity; Caiming Xiong; James Bradbury; Richard SocherDescriptionThe WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License.
Compared to the preprocessed version of Penn Treebank (PTB), WikiText-2 is over 2 times larger and WikiText-103 is over 110 times larger. The WikiText dataset also features a far larger vocabulary and retains the original case, punctuation and numbers - all of which are removed in PTB. As it is composed of full articles, the dataset is well suited for models that can take advantage of long term dependencies.
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FacebookTwitterEmailThe WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License. Compared to the preprocessed version of Penn Treebank (PTB), WikiText-2 is over 2 times larger and WikiText-103 is over 110 times larger. The WikiText dataset also features a far larger vocabulary and retains the original case, punctuation and numbers -… See the full description on the dataset page: https://huggingface.co/datasets/DBL/test.