6 datasets found
  1. h

    strategy-qa

    • huggingface.co
    Updated May 15, 2020
    + more versions
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    tasksource (2020). strategy-qa [Dataset]. https://huggingface.co/datasets/tasksource/strategy-qa
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 15, 2020
    Dataset authored and provided by
    tasksource
    Description

    tasksource/strategy-qa dataset hosted on Hugging Face and contributed by the HF Datasets community

  2. Q

    QA Consulting Service Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jan 20, 2025
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    Archive Market Research (2025). QA Consulting Service Report [Dataset]. https://www.archivemarketresearch.com/reports/qa-consulting-service-40946
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Jan 20, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Market Overview: The global QA Consulting Service market is anticipated to reach a value of X million by 2033, expanding at a CAGR of XX%. The market is primarily driven by the increasing adoption of digital technologies, including cloud computing, mobile applications, and e-commerce, which has led to a surge in the demand for quality assurance services. Moreover, the growing emphasis on customer satisfaction and operational efficiency is further fueling market expansion. Key trends shaping the market include the rise of cloud-based QA solutions, the adoption of agile development methodologies, and the emergence of artificial intelligence in testing. Competitive Landscape: The QA Consulting Service market is highly fragmented, with numerous established players and emerging startups. Leading companies in the market include QA Consultants, Oxagile, ScienceSoft, QA Mentor, SQA Solution, and Sun Technologies. These companies offer a comprehensive range of QA services, including testing strategy development, test case creation, test execution, and reporting. They cater to a diverse client base across industries, including healthcare, finance, retail, and technology. Regional variations in market growth exist, with North America and Europe accounting for a significant share of the market. Asia Pacific is projected to witness substantial growth in the coming years due to the increasing adoption of digital technologies in the region.

  3. h

    ko-strategy-qa

    • huggingface.co
    + more versions
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    hyeongchan kim, ko-strategy-qa [Dataset]. https://huggingface.co/datasets/kozistr/ko-strategy-qa
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    hyeongchan kim
    Description

    kozistr/ko-strategy-qa dataset hosted on Hugging Face and contributed by the HF Datasets community

  4. h

    Ko-StrategyQA

    • huggingface.co
    Updated Aug 7, 2023
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    NomaDamas (2023). Ko-StrategyQA [Dataset]. https://huggingface.co/datasets/NomaDamas/Ko-StrategyQA
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 7, 2023
    Dataset authored and provided by
    NomaDamas
    Description

    Ko-StrategyQA

    이 데이터셋은 StrategyQA의 한국어 버전입니다. 기존 데이터셋의 모든 질문과 단락들을 DeepL을 사용하여 번역했습니다.

      데이터셋 설명
    

    이 데이터셋은 StrategyQA의 한국어 버전입니다. StrategyQA는 오픈 도메인 질의 응답 태스크 분야에서 multi-hop 질문들만을 모아 놓은 데이터셋입니다. 오픈 도메인 질의 응답(ODQA)은 특정한 도메인 없이, 일반적인 지식 분야에서 질문에 대한 올바른 응답을 하는 인공지능 모델을 만드는 태스크입니다. multi-hop 질문들은 한 질문에 답하기 위하여 두 가지 이상의 사실을 두 가지 이상의 단락들에서 알아내야만 하는 질문들입니다. 이 데이터셋을 활용하여 multi-hop 질문들을 해결하기 위해 복수 개의 단락을 자동으로 단락 뭉치에서 검색하고 찾아낼 수 있는 성능을 측정할 수 있습니다. 또한, 거대 언어 모델 (LLM) 등의 언어 모델이… See the full description on the dataset page: https://huggingface.co/datasets/NomaDamas/Ko-StrategyQA.

  5. Software Testing Services Market Analysis, Size, and Forecast 2025-2029:...

    • technavio.com
    pdf
    Updated Jun 21, 2025
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    Technavio (2025). Software Testing Services Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, and UK), APAC (China, India, Japan, and South Korea), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/software-testing-services-market-share-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 21, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Description

    Snapshot img

    Software Testing Services Market Size 2025-2029

    The software testing services market size is forecast to increase by USD 24487.3 billion, at a CAGR of 11.4% between 2024 and 2029.

    The global mobile application testing services market continues to evolve in response to the increasing integration of mobile devices into daily digital interactions. A major driver of this momentum is the rising demand for seamless user experiences, which is accelerating the need for cross-platform compatibility and high-performance applications. As mobile applications multiply and user expectations heighten, testing services must ensure consistent functionality, usability, and responsiveness. The growing use of crowdsourced testing is another dynamic factor, enabling organizations to leverage distributed tester communities to accelerate delivery cycles and improve test coverage. This trend reflects the market's shift toward scalable, real-time testing approaches that match the speed of modern development.
    Despite this progress, the availability of free and open-source testing tools presents a direct challenge to commercial service providers by reducing entry barriers and compressing margins. Additionally, the complexity of contemporary software applications and the continuous nature of agile development frameworks create operational strain on service providers, compelling them to continuously refine their offerings. Within this context, providers that prioritize test automation and advanced test data management are better positioned to navigate evolving user demands and retain strategic relevance.
    The market has witnessed a shift from traditional testing frameworks to more agile-compatible models. The emphasis on real-time testing and crowdsourced platforms reflects a substantial behavioral and structural change. Simultaneously, the rise of open-source tools has altered the commercial dynamics, requiring providers to justify value through differentiated service capabilities and specialized expertise.
    

    Major Market Trends & Insights

    North America dominated the market and accounted for a 37% share in 2023
    The market is expected to grow significantly in North America region as well over the forecast period.
    Based on the Product the Functional segment led the market and was valued at USD 17220 billion of the global revenue in 2023
    Based on the End-user the BFSI accounted for the largest market revenue share in 2023
    

    Market Size & Forecast

    Market Opportunities: USD 156.80 Billion
    Future Opportunities: USD 24487.3 Billion
    CAGR (2024-2029): 11.4%
    North America : Largest market in 2023
    

    What will be the Size of the Software Testing Services Market during the forecast period?

    Request Free Sample

    In today's complex software ecosystem, organizations are leveraging structured test plan development to align with evolving project needs and risk tolerances. Incorporating risk-based testing ensures resource prioritization across high-impact areas, while proven test estimation techniques help allocate effort precisely, especially in static and dynamic analysis testing cycles. As testing advances, test execution monitoring is used to validate ongoing test activities against quality assurance metrics and core software quality attributes. Tools for test coverage analysis, defect analysis reporting, and software vulnerability assessment are essential to identify gaps early, particularly when integrating penetration testing in security-focused pipelines.
    A reliable QA strategy includes robust code review processes, end-to-end understanding of the software development lifecycle, and strict adherence to requirements traceability. Automation in test script development and intelligent test data generation supports repeatability and consistency. Infrastructure components like software configuration management, version control systems, and test environment provisioning form the backbone of scalable QA operations. Testing across platforms demands cloud-based testing, mobile device testing, and cross-browser testing to validate real-world compatibility, supported by a browser compatibility matrix. Operational metrics like performance tuning and scalability testing ensure long-term reliability, while continuous security hardening activities reduce production vulnerabilities.
    

    How is this Software Testing Services Industry segmented?

    The software testing services industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Service
    
      Functional
      Digital testing
      Specialized offering
    
    
    End-user
    
      BFSI
      Telecom and media
      Manufacturing
      Retail
      Others
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
  6. h

    general-qa

    • huggingface.co
    Updated Aug 2, 2024
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    Internist.ai (2024). general-qa [Dataset]. https://huggingface.co/datasets/internistai/general-qa
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 2, 2024
    Dataset provided by
    Internist.ai
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    @article{10.1093/jamia/ocae120, author = {Griot, Maxime and Hemptinne, Coralie and Vanderdonckt, Jean and Yuksel, Demet}, title = "{Impact of high-quality, mixed-domain data on the performance of medical language models}", journal = {Journal of the American Medical Informatics Association}, pages = {ocae120}, year = {2024}, month = {05}, abstract = "{To optimize the training strategy of large language models for medical applications, focusing on creating clinically… See the full description on the dataset page: https://huggingface.co/datasets/internistai/general-qa.

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    Learn how you can add new datasets to our index.

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tasksource (2020). strategy-qa [Dataset]. https://huggingface.co/datasets/tasksource/strategy-qa

strategy-qa

tasksource/strategy-qa

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
May 15, 2020
Dataset authored and provided by
tasksource
Description

tasksource/strategy-qa dataset hosted on Hugging Face and contributed by the HF Datasets community

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