wordnet

• Description:

WordNet is a large lexical database of English. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations.

• Additional Documentation: Explore on Papers With Code

• Homepage: https://wordnet.princeton.edu/

• Source code: tfds.text.Wordnet

• Versions:

  • 0.1.0 (default): No release notes.

• Download size: 3.99 MiB

• Auto-cached (documentation): Yes

• Feature structure:

FeaturesDict({
    'lhs': Text(shape=(), dtype=string),
    'relation': Text(shape=(), dtype=string),
    'rhs': Text(shape=(), dtype=string),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
lhs	Text		string
relation	Text		string
rhs	Text		string

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

wordnet/WN18 (default config)

• Config description: This WORDNET TENSOR DATA consists of a collection of triplets (synset, relation_type, triplet) extracted from WordNet 3.0 (http://wordnet.princeton.edu). This data set can be seen as a 3-mode tensor depicting ternary relationships between synsets. See https://everest.hds.utc.fr/doku.php?id=en:transe.

• Dataset size: 11.07 MiB

• Splits:

Split	Examples
'test'	5,000
'train'	141,442
'validation'	5,000

• Examples (tfds.as_dataframe):

• Citation:

@article{10.1145/219717.219748,
author = {Miller, George A.},
title = {WordNet: A Lexical Database for English},
year = {1995},
issue_date = {Nov. 1995},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {38},
number = {11},
issn = {0001-0782},
url = {https://doi.org/10.1145/219717.219748},
doi = {10.1145/219717.219748},
journal = {Commun. ACM},
month = nov,
pages = {39--41},
numpages = {3}
}

@incollection{NIPS2013_5071,
title = {Translating Embeddings for Modeling Multi-relational Data},
author = {Bordes, Antoine and Usunier, Nicolas and Garcia-Duran, Alberto and Weston, Jason and Yakhnenko, Oksana},
booktitle = {Advances in Neural Information Processing Systems 26},
editor = {C. J. C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K. Q. Weinberger},
pages = {2787--2795},
year = {2013},
publisher = {Curran Associates, Inc.},
url = {http://papers.nips.cc/paper/5071-translating-embeddings-for-modeling-multi-relational-data.pdf}
}

wordnet/WN18RR

• Config description: Same as WN18 but fixes test leakage through inverse relations. See https://github.com/TimDettmers/ConvE

• Dataset size: 7.02 MiB

• Splits:

Split	Examples
'test'	3,134
'train'	86,835
'validation'	3,034

• Examples (tfds.as_dataframe):

• Citation:

@article{10.1145/219717.219748,
author = {Miller, George A.},
title = {WordNet: A Lexical Database for English},
year = {1995},
issue_date = {Nov. 1995},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {38},
number = {11},
issn = {0001-0782},
url = {https://doi.org/10.1145/219717.219748},
doi = {10.1145/219717.219748},
journal = {Commun. ACM},
month = nov,
pages = {39--41},
numpages = {3}
}

@inproceedings{dettmers2018conve,
    Author = {Dettmers, Tim and Pasquale, Minervini and Pontus, Stenetorp and Riedel, Sebastian},
    Booktitle = {Proceedings of the 32th AAAI Conference on Artificial Intelligence},
    Title = {Convolutional 2D Knowledge Graph Embeddings},
    Url = {https://arxiv.org/abs/1707.01476},
    Year = {2018},
        pages  = {1811--1818},
    Month = {February}
}