A collection of quantitative lexical semantic relations datasets, gathered from the academic literature, for the evaluation of semantic measures between concepts or entities. Currently focused on the English and Portuguese languages.
| # | ID | Name | Year | Domain | Sim/Rel | References |
|---|---|---|---|---|---|---|
| 1 | rg65 | Rubenstein and Goodenough (1965) | 1965 | general | sim | paper 📑, website 🌐 |
| 2 | mervis210 | Mervis 210 | 1975 | general | rel | paper 📑 |
| 3 | tversky42 | Tversky42 | 1979 | general | sim | paper 📑 |
| 4 | mc30 | Miller and Charles (1991) | 1991 | general | sim | paper 📑 |
| 5 | medin34 | Medin 34 | 1993 | general | sim | paper 📑 |
| 6 | resnik28 | Miller and Charles Replication | 1999 | general | sim | paper 📑, website 🌐 |
| 7 | rd27 | Resnik and Diab 2000 | 2000 | general | sim | paper 📑, website 🌐 |
| 8 | ws353 | WordSimilarity-353 | 2002 | general | sim | paper 📑, website 🌐 |
| 9 | yp130 | YP-130 | 2005 | general | sim | paper 📑 |
| 10 | bg100k | Princeton Evocation Data 0.4 | 2006 | general | evo | paper 📑, website 🌐 |
| 11 | mesh2 | MeSH2 | 2006 | biomedical | sim | paper 📑, website 🌐 |
| 12 | zie55 | Ziegler et al. (2006) | 2006 | general | rel | paper 📑 |
| 13 | mayoSRS | MayoSRS | 2007 | biomedical | rel | paper 📑, website 🌐 |
| 14 | miniMSRS | MiniMayoSRS | 2007 | biomedical | rel | paper 📑, website 🌐 |
| 15 | gm30 | Gracia and Mena (2008) | 2008 | general | rel | paper 📑 |
| 16 | ps65 | Pirro and Seco (2008) | 2008 | general | sim | paper 📑 |
| 17 | ws353split | WordSim-353 Similarity and Relatedness Gold Standard | 2009 | general | rel/sim | paper 📑, website 🌐 |
| 18 | umnsrs | UMNSRS | 2010 | biomedical | rel/sim | paper 📑, website 🌐 |
| 19 | mt287 | MT287 | 2011 | general | rel | paper 📑, website 🌐 |
| 20 | atlasify240 | Atlasify240 | 2012 | general | rel | paper 📑, website 🌐 |
| 21 | mturk771 | MTurk771 | 2012 | general | rel | paper 📑, website 🌐 |
| 22 | reword26 | REWOrD | 2012 | general | rel | paper 📑, website 🌐 |
| 23 | scws2003 | SCWS | 2012 | general | sim | paper 📑, website 🌐 |
| 24 | ma28 | Martinez & Aldana | 2013 | general | sim | paper 📑, website 🌐 |
| 25 | rel122 | Rel-122 | 2013 | general | rel | paper 📑, website 🌐 |
| 26 | srw2034 | Stanford Rare Word (RW) Similarity Dataset | 2013 | biomedical | sim | paper 📑, website 🌐 |
| 27 | wp300 | WP300 | 2013 | general | sim | paper 📑, website 🌐 |
| 28 | baker143 | Baker 143 | 2014 | general | sim | paper 📑, website 🌐 |
| 29 | geresid50 | GeReSiD | 2014 | geographical | rel/sim | paper 📑, website 🌐 |
| 30 | men3000 | MEN | 2014 | general | rel | paper 📑, website 🌐 |
| 31 | sl7576 | SL7576 | 2014 | general | sim | paper 📑, website 🌐 |
| 32 | lm659 | Landrigan & Mirman (2015) | 2015 | general | rel/sim | paper 📑, website 🌐 |
| 33 | simlex999 | SimLex-999 | 2015 | general | sim | paper 📑, website 🌐 |
| 34 | tr9856 | TR9856 | 2015 | general | rel | paper 📑, website 🌐 |
| 35 | simverb3500 | SimVerb-3500 | 2016 | general | sim | paper 📑, website 🌐 |
| 36 | umnsrsMod | UMNSRS (modified) | 2016 | biomedical | rel/sim | paper 📑, website 🌐 |
| 37 | semeval17 | SemEval-2017 Task 2.1 | 2017 | general | sim | paper 📑, website 🌐 |
| 38 | ali27 | Ali et al. 2018 | 2018 | general | sim | paper 📑 |
| 39 | card660 | Card-660 | 2018 | general | sim | paper 📑, website 🌐 |
| 40 | gtrd | GTRD | 2018 | geographical | rel | paper 📑, website 🌐 |
| 41 | word19k | Wikipedia Oriented Relatedness Dataset | 2018 | general | rel | paper 📑, website 🌐 |
| 42 | multisimlex | Multi-SimLex | 2020 | general | sim | paper 📑, website 🌐 |
| 43 | emocon | Emotion concepts 2022 | 2022 | general | sim | paper 📑, website 🌐 |
| 44 | sstars13 | Shooting-Stars | 2023 | general | rel | paper 📑, website 🌐 |
| # | ID | Name | Year | Domain | Sim/Rel | References |
|---|---|---|---|---|---|---|
| 1 | pt65 | PT65 | 2014 | general | rel | paper 📑, website 🌐 |
| 2 | lxrw2034 | LX-Rare Word Similarity Dataset | 2017 | general | sim | paper 📑, website 🌐 |
| 3 | lxsimlex999 | LX-SimLex-999 | 2017 | general | sim | paper 📑, website 🌐 |
| 4 | lxws353 | LX-WordSim-353 | 2017 | general | rel | paper 📑, website 🌐 |
| 5 | pap900 | PAP900 | 2024 | general | rel/sim | website 🌐 |
If you want to programatically use the datasets' data and metadata, install the Node.js wrapper code:
npm install
Then you can access the datasets like this:
import { mc30, rg65 } from "punuy-datasets";
for (const part of mc30.partitions) {
console.log(part.id, part.data.length); // print partition id and size
}If you want to use another language or just want to access the data files directly, each dataset has its own folder inside profiles/.
Each dataset has a dataset.json file with its metadata and information about its partitions. Then, for each partition with id p_id, there is a p_id.part.json file containing the pairs and their ratings.
Some datasets have licenses which explicitly prevent them from being redistributed. Currently this includes the following datasets:
- lxrw2034
- lxsimlex999
- lxws353
In this cases you have to download the datasets files manually, but after saving them in the right folders they can be automatically imported.
We can guide you through this process. Just run
cd node_modules/punuy-datasets # if you're using punuy-datasets as a dependency
npm run download-non-openand follow the instructions provided on the console.
If you can create the dataset profile yourself, PRs are welcome! You can find the dataset schema (in Typescript) here.
Or you can open an issue. Please include:
- a link to the dataset homepage (if it exists),
- a link to download the dataset, and
- a link to the paper describing it.
I'll get to it as soon as I find some free time ;)
TypeScript definitions can be found at src/lib/types.ts.
Automatically generated JSON schema definitions can be found at dataset-schema.json and partition-data-schema.json.
Automatically generated documentation can be found at docs/.
Did you find a problem with the licensing of a dataset? We did our best to find and include the licenses to all the datasets and to respect copyrights, but we might have missed something!
Please open an issue and we'll fix it ASAP.
For cross-lingual datasets and datasets in other languages please check the following links:
Open a GitHub issue or, preferably, send me a pull request.
The MIT License (MIT)
Copyright (c) 2025 André Santos andrefs@andrefs.com
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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