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187 results for “Language Data”
Code for the paper "First-Class Data Types in Shallow Embedded Domain-Specific Languages using Metaprogramming": IFL 2022
<p>Code accompanying the paper First-Class Data Types in Shallow Embedded Domain-Specific Languages using Metaprogramming.</p> <p>All code is Haskell code, tested with GHC 8.8.4</p> <ul> <li>./tuple: contains the examples from Section 3.2</li> <li>./bin: contains the examples from Section 5.1</li> <li>./artifact: contains an extended version of the running example of the paper<br> </li> </ul>
BSL-Hansard: A parallel, multimodal corpus of English and interpreted British Sign Language data from parliamentary proceedings
<p>BSL-Hansard is a novel open source and multimodal resource composed by combining Sign Language video data in BSL and English text from the official transcription of British parliamentary sessions. This paper describes the method followed to compile BSL-Hansard including time alignment of text using the MAUS (Schiel, 2015) segmentation system, gives some statistics about this dataset, and suggests experiments. These primarily include end-to-end Sign Language-to-text translation, but is also relevant for broader machine translation, and speech and language processing tasks.</p> <p>This dataset will be useful for translation between BSL and English, or for studies in BSL or English down to the phonetic level.</p>
Data from: Speakers of different languages remember visual scenes differently
<p>Language can have a powerful effect on how people experience events. Here, we examine how the languages people speak guide attention and influence what they remember from a visual scene. When hearing a word, listeners activate other similar-sounding words before settling on the correct target. We tested whether this linguistic co-activation during a visual search task changes memory for objects. Bilinguals and monolinguals remembered English competitor words that overlapped phonologically with a spoken English target better than control objects without name overlap. High Spanish proficiency also enhanced memory for Spanish competitors that overlapped across languages. We conclude that linguistic diversity partly accounts for differences in higher cognitive functions like memory, with multilinguals providing a fertile ground for studying the interaction between language and cognition.</p>
ThoughtSource: A central hub for large language model reasoning data (code snapshot)
<p><strong>ThoughtSource is a meta-dataset and software library for chain-of-thought reasoning in large language models (LLMs). This repository contains a snapshot of the associated GitHub repository.</strong></p>
Data and code on the Moral Machine experiment on large language models (LLMs)
<p>As large language models (LLMs) have become more deeply integrated into various sectors, understanding how they make moral judgments has become crucial, particularly in the realm of autonomous driving. This study utilized the Moral Machine framework to investigate the ethical decision-making tendencies of prominent LLMs, including GPT-3.5, GPT-4, PaLM 2, and Llama 2, to compare their responses to human preferences. While LLMs' and humans' preferences such as prioritizing humans over pets and favoring saving more lives are broadly aligned, PaLM 2 and Llama 2, especially, evidence distinct deviations. Additionally, despite the qualitative similarities between the LLM and human preferences, there are significant quantitative disparities, suggesting that LLMs might lean toward more uncompromising decisions, compared to the milder inclinations of humans. These insights elucidate the ethical frameworks of LLMs and their potential implications for autonomous driving.</p>
Data and code on the Moral Machine experiment on large language models (LLMs)
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Data from: Protein Set Transformer: A protein-based genome language model to power high diversity viromics
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Data from: DCDC2 READ1 regulatory element: how temporal processing differences may shape language
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Data from: Speakers of different languages remember visual scenes differently
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Data and code from: Learning a deep language model for microbiomes: The power of large scale unlabeled microbiome data
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Data for Mouton Atlas of Languages and Cultures (ed. Gerd Carling). Mouton De Gruyter 2019.
<p>These are the basic data sets (.xml), which are used for creating maps, graphs and results of the volume Mouton Atlas of Languages and Cultures (Mouton De Gruyter 2019). Data has been extracted from the database Diachronic Atlas of Comparative Linguistics during 2018 and prepared for publication. Data is printed in the paper and online version of the book. The data is made available by permission from the publishers.</p> <p>NB. In using the data, quoting of the book is required: Carling, Gerd (ed.) 2019. Mouton Atlas of Languages and Cultures. Berlin - New York: Mouton de Gruyter.</p>
Token-based data sets for the analysis of the academic language of literary studies and linguistics
<p>These are the token-based data sets used for my PhD thesis ("Potentiale syntaktischer Annotationen für die datengeleitete Sprachbeschreibung am Beispiel der Wissenschaftssprachen der Germanistik", publication in progress).</p> <p>For python scripts and further data see https://github.com/melandresen/dissertation.</p> <p>Due to copyright law, the annotated texts of the corpus could only be published without the token layer. The files provided here include the token-based frequency data that have been derived from the origial texts and can be used as input to the analysis scripts in the GitHub-Repository.</p>
Data from: Parameterizing the robust design in the BUGS language: lifetime carry‐over effects of environmental conditions during growth on a long‐lived bird
1. Since the initial development of the robust design, this capture‐recapture model structure has been modified to estimate temporary emigration, and expanded to include auxiliary information such as band recovery and live resight data using maximum likelihood approaches. These developments have allowed investigators to separately assess individual and group effects on true survival, site fidelity, and temporary emigration. Additionally, recent advances in the BUGS language have allowed researchers to develop increasingly complex, user‐specified models in Bayesian frameworks. 2. The robust design has rarely been implemented in the BUGS language, and previous attempts to parameterize the robust design in BUGS exhibited strong bias in estimates of temporary emigration rates. Given the limitations of current parameterizations of the robust design in Bayesian frameworks, and our research objectives, we have developed a parameterization of the robust design in the BUGS language that produces unbiased estimates of all model parameters. 3. We use this novel model structure to examine lifetime carry‐over effects of environmental conditions during early life on annual breeding probabilities of Pacific black brent (Branta bernicla nigricans) breeding on the Yukon‐Kuskokwim River Delta in western Alaska. We found that individuals that were more structurally developed as goslings bred at increased rates as adults (β = 0.14, f = 0.94), with no effect on adult survival (β = 0.01, f = 0.62). Additionally, we provide evidence for long‐term declines in apparent survival of breeding adult females at the population level (β = ‐0.01, f = 0.90). 4. This novel model structure can be easily expanded (Gibson et al., in review), and has important implications for population modelling at broad scales, where we apply it to a declining population of Pacific black brent. Given long‐term declines in gosling growth on the Yukon‐Kuskokwim Delta, we predict future declines in population trajectories as a result of lifetime carry‐over effects of environmental conditions during growth on adult fecundity, and long‐term declines in adult survival.
Data Release: A Domain Specific Language for Performance Portable Molecular Dynamics Algorithms
<p>The archive contains the supporting data for the results described in the paper titled "A Domain Specific Language for Performance Portable Molecular Dynamics Algorithms".</p> <p>For more information see either the individual README files or consult the project git repository:</p> <p>https://bitbucket.org/wrs20/ppmd</p> <p> </p> <p>Copyright W.R.Saunders 2017</p>
Representations of language in a model of visually grounded speech signal: Data
<p>The set of datafiles to reproduce results from:</p> <ul> <li>Chrupała, G., Gelderloos, L., & Alishahi, A. (2017). Representations of language in a model of visually grounded speech signal. ACL. arXiv preprint: https://arxiv.org/abs/1702.01991</li> </ul>
Music Data, Archiving for Community Use and Future Directions Through the Decade of Indigenous Languages
<p>Music Data, Archiving for Community Use and Future Directions Through the Decade of Indigenous Languages</p> <p>Linda Barwick</p> <p>Presented 5 October 2022 at the international conference "Where Do We Need to Go From Here?" Language Documentation and Archiving in the International Decade of Indigenous Languages</p>
Data from: Jeans and language: social networks and reproductive success are associated with the adoption of outgroup norms
<p><span>Traditional norms of human societies in rural China may have changed due to population expansion, rapid development of the tourism economy and globalization since </span><span>the</span><span> 1990s; people from different ethnic groups might adopt cultural traits from out</span><span>side</span><span> their group or lose their own culture at different rates. Human behavioural ecology can help to explain adoption of outgroup cultural values. We compared the adoption of four cultural values, specifically speaking outgroup languages/mother tongue and wearing jeans, in two co-residing ethnic groups, the Mosuo and Han. Both groups are learning outgroup traits, including each other's languages through contact in economic activities, education and social networks, but only the Mosuo are starting to lose their own language. Males are more likely to adopt outgroup values than females in both groups. Females of the two groups are no different in speaking Mandarin and wearing jeans, whereas males do differ, with Mosuo males being keener to adopt them than Han males. </span><span>The reason might be that Mosuo men experience more reproductive competition over mates than others, as Mosuo men have larger reproductive skews than others. Moreover, Mosuo men but not others gain fitness benefits from the adoption of Mandarin (they start </span><span>reproducing</span><span> earlier than non-speakers).</span></p> <p><span>This article is part of the theme issue 'Social norm change: from evolution to policy intervention'.</span></p>
data_sleep_language
<p>Dataset associated with the paper: "Sleep quality relates to language impairment in children with autism spectrum disorder without intellectual disability"</p> <p>https://doi.org/10.1016/j.sleep.2024.03.028</p> <h1> </h1> <pre></pre>
Data from: Genome-scale annotation of protein binding sites via language model and geometric deep learning
<p>The dataset contains the training and test sets of protein binding sites with DNA, RNA, peptide, protein, ATP, HEM, Zn2+, Ca2+, Mg2+ and Mn2+. Each protein is associated with 3 lines indicating the protein name (PDB accession code and chain), sequence and residue labels (0 for non-binding and 1 for binding), respectively. The ESMFold-predicted structures are also provided.</p>
PRICER: Leveraging Few-Shot Learning with Fine-Tuned Large Language Models for Unstructured Economic Data
<p>Describes the taxonomy used in the paper "PRICER: Leveraging Few-Shot Learning with Fine-Tuned Large Language Models for Unstructured Economic Data", presented at the Second Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data<em> </em>at the Extended Semantic Web Conference (ESWC) 2024.</p>
ScienceDex guides
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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.