Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
5
datasets available to search
ShareScore release 0.9.0
Dataset results
5 results for “Named Entity Linking”
Dataset for Named Entity Recognition and Entity Linking from Greek Wikipedia Events
<p>An automated benchmark dataset for (Named Entity Recognition) NER and (Named Entity Linking) NEL tools, based on Greek Wikipedia events pages.</p> <p>Note: This data includes data from the following sources:<br> - Wikipedia el.wikipedia.org</p> <p><strong>Description</strong></p> <p>The dataset is provided in the form of three JSON-formatted subsets i.e., train, validation and test in an analogy of 70-20-10. The current version of the dataset contains 18,617 events annotated with 40,798 entity mentions and 36,189 links to elWikipedia (and wikidata ids). The dataset contains annotations belonging to 8 entity types: person, organization, location, gpe, event, facility, product and work of art.</p> <table> <caption>Overall dataset statistics</caption> <thead> <tr> <th scope="col"> </th> <th scope="col">Docs</th> <th scope="col">Tokens</th> <th scope="col">Sentences</th> <th scope="col">Surface Mentions</th> <th scope="col">Valid Links</th> <th scope="col">Red Links</th> </tr> </thead> <tbody> <tr> <td><strong>Train</strong></td> <td>13,031</td> <td>332,077</td> <td>16,927</td> <td>28,593</td> <td>25,365</td> <td>3,228</td> </tr> <tr> <td><strong>Validation</strong></td> <td>3,722</td> <td>94,746</td> <td>4,844</td> <td>8,168</td> <td>7,240</td> <td>928</td> </tr> <tr> <td><strong>Test</strong></td> <td>1,862</td> <td>47,450</td> <td>2,427</td> <td>4,037</td> <td>3,584</td> <td>453</td> </tr> <tr> <td><strong>Total</strong></td> <td>18,617</td> <td>474,361</td> <td>24,200</td> <td>40,798</td> <td>36,189</td> <td>4,609</td> </tr> </tbody> </table> <p><strong>Example</strong></p> <p>A record example is given below.</p> <p>{</p> <p>"json_file": "February 2012_39_0 events",<br> "text": "Sudan and South Sudan sign non-aggression pact.",<br> "ground_truth_mentions": [<br> {"start": 0, "end": 4, "surface_mention": "Sudan", "mention_type": "GPE"},<br> {"start": 10, "end": 20, "surface_mention": "South Sudan", "mention_type": "GPE"}<br> ],<br> "ground_truth_links": [<br> {"enwiki": "Sudan","wikidata": "Q1049"},<br> {"enwiki": "South_Sudan", "wikidata": "Q958"}<br> ]<br> }</p> <p><strong>Code</strong></p> <p><a href="https://gitlab.isl.ics.forth.gr/debatelab/elwiki_events_benchmark">https://gitlab.isl.ics.forth.gr/debatelab/elwiki_events_benchmark</a></p> <p><strong>Acknowledgments</strong></p> <p>This work has received funding from the Hellenic Foundation for Research and Innovation (HFRI) and the General Secretariat for Research and Technology (GSRT), under grant agreement No 4195.</p>
Berlin State Library (2023). Named Entity Disambiguation German Database for the Named Entity Linking System of the Berlin State Library (SBB)
<p>This database is a part of a BERT-based entity recognition and three-stage entity linking (EL) system. Its components consist of three models as well as three related databases, one of which is published here.</p>
Berlin State Library (2023). Named Entity Disambiguation French Database for the Named Entity Linking System of the Berlin State Library (SBB)
<p>This database is a part of a BERT-based entity recognition and three-stage entity linking (EL) system. Its components consist of three models as well as three related databases, one of which is published here.</p>
Berlin State Library (2023). Named Entity Disambiguation English Database for the Named Entity Linking System of the Berlin State Library (SBB)
<p>This database is a part of a BERT-based entity recognition and three-stage entity linking (EL) system. Its components consist of three models as well as three related databases, one of which is published here.</p>
Benchmark for the evaluation of Named Entity Linking over ancient documents
<p><strong>Benchmark for the evaluation of Named Entity Linking over ancient documents</strong><br> Elvys Linhares Pontes, Ahmed Hamdi, Nicolas Sidere, and Antoine Doucet<br> University of Avignon: elvys.linhares-pontes@univ-avignon.fr; University of La Rochelle: {elvys.linhares_pontes,ahmed.hamdi,nicolas.sidere,antoine.doucet}@univ-lr.fr</p> <p>These are the supplementary materials for the ICADL 2019 paper <strong><em>Impact of OCR Quality on Named Entity Linking</em></strong>. If you end up using whole or parts of this resource, please use the following citation:</p> <ul> <li>Linhares Pontes, E., Hamdi, A., Sidere, N., and Doucet, A. (2019). Impact of OCR Quality on Named Entity Linking. In Proceedings of 21st International Conference on Asia-Pacific Digital Libraries ICADL 2019, Kuala Lumpur, Malaysia.</li> </ul> <p>or alternatively use the following `bib`:</p> <pre><code>@inproceedings{linhares2019icadl, title="Impact of OCR Quality on Named Entity Linking.", author={Linhares Pontes, Elvys, and Hamdi, Ahmed, and Sidere, Nicolas, and Doucet, Antoine}, year={2019}, booktitle={Proceedings of 21st International Conference on Asia-Pacific Digital Libraries ICADL 2019} }</code></pre> <p><strong>Files</strong><br> This archive contains six folders -- one per dataset -- as well as this README. The folders contain the degraded images, the noisy texts extracted by the OCR and their aligned version with clean data. This work is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/).</p> <p><strong>Acknowledgments</strong><br> This work has been supported by the European Union's Horizon 2020 research and innovation programme under grant 770299 [NewsEye](https://www.newseye.eu/).</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.