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Dataset results
3 results for “SpaCy”
Tibetan for Spacy 1.1
<p><strong>Tibetan for SpaCy </strong>is a language model for Tibetan designed for use in the SpaCy environment. The model was trained using SpaCy. It uses an external tokenizer, <a href="https://github.com/OpenPecha/Botok">Botok</a>, to segment the Tibetan and replaces the Tibetan syllable-separator (<em>tseg</em>) with white spaces where it occurs as a word separator. SpaCy was then told to interpret the input as English. This produces good results with standard vocabulary, but fails with unrecognised words. The project is currently working on a more sophisticated version of Tibetan for SpaCy. The package includes a list of stop words.</p> <p><strong>Tibetan for SpaCy</strong> was developed by James Engels as part of <a href="(https:/research.uni-leipzig.de/diverge/">Divergent Discourses</a>, a joint project between SOAS University of London and Leipzig University, funded by the AHRC in the UK and the DFG in Germany.</p> <p>The project developed Tibetan for SpaCy particularly for users who want to use Tibetan texts within the <strong>Leipzig Corpus Miner </strong>(<a href="https://ilcm.informatik.uni-leipzig.de/">iLCM</a>), an advanced text-mining interface designed for social scientists. The instructions for using Tibetan for SpaCy within the iLCM are in the readme file below. These instructions assume the user has already downloaded and installed the iLCM, which can be found <a href="https://ilcm.informatik.uni-leipzig.de/">here</a>. </p> <p>Please acknowledge the Divergent Discourses project if using this material (note that ultimately copyright belongs to the two participating universities). Contact: rb75@soas.ac.uk </p>
SpaCy affixes: SpaCy support for affixes splitting for Freeling-like affixes rules and dictionaries.
<p>This library was born to split clitics from verbs so POS tagging works out-of-the-box with spaCy models.</p>
Dutch language resources for spaCy
<p>Version 0.1.0 of the Dutch language resources for spaCy</p> <p>spaCy is a library for advanced natural language processing in Python and Cython. See also https://spacy.io/ and https://github.com/explosion/spaCy</p> <p>The Dutch language resources were trained with data from Universal Dependencies (UD_Dutch: https://github.com/UniversalDependencies/UD_Dutch and UD_Dutch-LassySmall: https://github.com/UniversalDependencies/UD_Dutch-LassySmall ) and CoNLL 2002 (http://www.cnts.ua.ac.be/conll2002/ner.tgz ; http://www.cnts.ua.ac.be/conll2002/ner/).</p> <p>More information about this data set can be found at https://github.com/nlesc-sherlock/spacy-dutch</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.