Based on the converter from https://github.com/fluhus/wordnet-to-json; Applied to wordnet v3.0 data to create json compatible with ImageNet synset ids. Created semi-automatic mapping v3.1 <-> v3.0 (only about 100 entries of 1286600 could not be matched)
| # synset | v3.1->v3.0 | v3.0->v3.1 |
|---|---|---|
| worked | 117278 | 117264 |
| weakly linked | 305 | 302 |
| missing | 208 | 93 |
| same offset | 58 | 58 |
Note: the official Wordnet search-engine allows switching to v3.0 (see answer from Finn Årup Nielsen: https://stackoverflow.com/questions/45826417/imagenet-index-to-wordnet-3-0-synsets ; e.g. http://wordnet-rdf.princeton.edu/pwn30/01440764-n ). There is currently no reason to use v3.1 if you work with ImageNet. Just stick to v3.0.
This mapping is generated automatically. I have tried to fix many-to-one / one-to-many ambiguities whenever I encountered them. However, this is still provided "as-is" without any guarantee of correctness or completeness. Use it at your own risk!
This dataset is based on: Princeton University "About WordNet." WordNet. Princeton University. 2010. http://wordnet.princeton.edu Please cite them if you use this dataset.
The original converter script has been written by Amit Lavon (Github user fluhus https://github.com/fluhus ).
If you find the mapping files (mapping_wordnet.json or mapping_imagenet.json) useful, please cite this repo:
@misc{ZendelWordNetConv19,
author = {Zendel, Oliver},
title = {WordNet v3.0 vs. v3.1 mapping},
year = {2019},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/ozendelait/wordnet-to-json}},
commit = {7521b70937355e826ea7e028a615108cdb18d0ee}
}
Mapping files:
mapping_wordnet.json: https://raw.githubusercontent.com/ozendelait/wordnet-to-json/master/mapping_wordnet.json
mapping_imagenet.json: https://raw.githubusercontent.com/ozendelait/wordnet-to-json/master/mapping_imagenet.json
WordNet v3.0: See releases.
WordNet v3.1: See (https://github.com/fluhus/wordnet-to-json/releases).
ImageNet subset (original, no v3.1 info): See https://gist.github.com/yrevar/667fd94b94f1666137f45d1363f60910