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  • Media Coverage of Outer Space

    User Collection
    Collection thumbnail: Media Coverage of Outer Space
    Type:
    Collection
    Descripción/Resumen:
    Data and Text of Space in Media Coverage from including: - 14,399 Documents of TV Transcripts (2010-2022) - 9,061 documents of newspaper articles (2017-2022)
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Licencia:
    Open Data Commons Attribution License (ODC-By)
    0Colecciones
    2Obras

  • Betweeness Centrality for 'Model of Models' Methods

    User Collection
    Collection thumbnail: Betweeness Centrality for 'Model of Models' Methods
    Type:
    Collection
    Descripción/Resumen:
    Betweenness centrality is a measure of centrality in a network based on shortest paths. The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Licencia:
    Open Data Commons Public Domain Dedication and License (PDDL)
    0Colecciones
    16Obras

  • Coherence Evaluations for 'Model of Models' Methods

    User Collection
    Collection thumbnail: Coherence Evaluations for 'Model of Models' Methods
    Type:
    Collection
    Descripción/Resumen:
    CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / Chicago Novel Corpus [nvl] / Newspaper Corpus [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Licencia:
    Open Data Commons Attribution License (ODC-By)
    0Colecciones
    20Obras

  • 'Model of Models' Methods

    User Collection
    Collection thumbnail: 'Model of Models' Methods
    Type:
    Collection
    Descripción/Resumen:
    The materials in this collection accompany a methodology paper regarding Human-Centered AI and the use of the DSC platform, 'Model of Models'.
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Licencia:
    Open Data Commons Public Domain Dedication and License (PDDL)
    2Colecciones
    3Obras

  • Poetry Data for NLG Models

    User Collection
    Collection thumbnail: Poetry Data for NLG Models
    Type:
    Collection
    Descripción/Resumen:
    This data supports research aiming to identify the relative strengths/weaknesses of three generative language models.
    Creador/Autor:
    McCabe, Erin E. and Ayres, Sean
    Peticionario:
    Erin E. McCabe
    Licencia:
    Open Data Commons Attribution License (ODC-By)
    0Colecciones
    2Obras

  • Use of Medical School Applications to Identify Potential Interest in Family Medicine​

    User Collection
    Collection thumbnail: Use of Medical School Applications to Identify Potential Interest in Family Medicine​
    Type:
    Collection
    Descripción/Resumen:
    Goal: Identify students interested in Family Medicine to help target limited resources for their support​ Research Question: Could artificial intelligence help identify students interested in or suited for Family Medicine?
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Licencia:
    Open Data Commons Public Domain Dedication and License (PDDL)
    0Colecciones
    2Obras

  • Examining the Substance of Bone through a Meta-Analysis of Academic Texts

    User Collection
    Collection thumbnail: Examining the Substance of Bone through a Meta-Analysis of Academic Texts
    Type:
    Collection
    Descripción/Resumen:
    The materials included in this collection support the research article, DATA-INFORMED TOOLS FOR ARCHAEOLOGICAL REFLEXIVITY: EXAMINING THE SUBSTANCE OF BONE THROUGH A META-ANALYSIS OF ACADEMIC TEXTS
    Creador/Autor:
    Jackson, Sarah E. and McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Licencia:
    Attribution 4.0 International
    0Colecciones
    3Obras

  • Coherence_Evaluations - nvl_pollution.csv

    Dataset thumbnail: Coherence_Evaluations - nvl_pollution.csv
    Type:
    Dataset
    Descripción/Resumen:
    CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Fecha modificada:
    11/12/2022
    Fecha modificada:
    11/12/2022
    Fecha de creacion:
    2022
    Licencia:
    Open Data Commons Attribution License (ODC-By)

  • Coherence_Evaluations - nvl_earth.csv

    Dataset thumbnail: Coherence_Evaluations - nvl_earth.csv
    Type:
    Dataset
    Descripción/Resumen:
    CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Fecha modificada:
    11/12/2022
    Fecha modificada:
    11/12/2022
    Fecha de creacion:
    2022
    Licencia:
    Open Data Commons Attribution License (ODC-By)

  • Coherence_Evaluations - nvl_climate.csv

    Dataset thumbnail: Coherence_Evaluations - nvl_climate.csv
    Type:
    Dataset
    Descripción/Resumen:
    CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Fecha modificada:
    11/12/2022
    Fecha modificada:
    11/12/2022
    Fecha de creacion:
    2022
    Licencia:
    Open Data Commons Attribution License (ODC-By)