6 datasets found
  1. Z

    The dataset of the paper titled "Context-Aware Code Change Embedding for...

    • data-staging.niaid.nih.gov
    • data.niaid.nih.gov
    Updated Jan 20, 2021
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    Anonymous (2021). The dataset of the paper titled "Context-Aware Code Change Embedding for Better Patch Correctness Assessment" [Dataset]. https://data-staging.niaid.nih.gov/resources?id=zenodo_4128943
    Explore at:
    Dataset updated
    Jan 20, 2021
    Authors
    Anonymous
    Description

    This is the online repository of the paper "Context-Aware Code Change Embedding for Better Patch Correctness Assessment" under review by SANER2021. We release the source code of Cache, the patches used in our evaluation, as well as the experiment results.

    Patches: Three patch benchmarks included in our study.

    Tian: The patches from Tian's ASE20 paper.

    Wang: The patches from Wang's ASE20 paper.

    Cache: The patches collected by ourselves, which is consist of 17,377 deduplicated overfitting patches from RepairThemAll and 17,377 instances from ManySStuBs(used as correct patches).

    Results:

    RQ1: The detailed result files in RQ1, which are named by the format of [model]_[classifier].csv.

    For example, the file named BERT_DT.csv in the folder Tian's_dataset means that this file is the result of patches from Tian's study embedded by BERT and classified by Decision Tree.

    Tian's_dataset : The detailed result files on Tian's dataset.

    Cache_dataset : The detailed result files on our own dataset.

    Cross_dataset : The detailed result files of representation learning techniques when training on our own dataset and testing on Tian's dataset.

    RQ2: The detailed result files in RQ2.

    Wang_Cache.csv: The detailed result of Cache on the dataset from Wang's ASE20.

    ODS_Cache.csv: The datailed result of Cache on the dataset from Xiong's ICSE18 paper. We directly compare against the results reported by the authors of ODS on 139 patches from Xiong's paper since the data and source code of ODS is unavailable.

    Source: The source code and lib for running Cache is available at https://github.com/APR-Study/Cache.

  2. Live tables on housing supply: indicators of new supply

    • s3.amazonaws.com
    • gov.uk
    Updated Jan 14, 2021
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    Ministry of Housing, Communities & Local Government (2021). Live tables on housing supply: indicators of new supply [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/169/1690192.html
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    Dataset updated
    Jan 14, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities & Local Government
    Description

    Local authorities compiling this data or other interested parties may wish to see notes and definitions for house building which includes P2 full guidance notes.

    Live tables

    Data from live tables 253 and 253a is also published as http://opendatacommunities.org/def/concept/folders/themes/house-building" class="govuk-link">Open Data (linked data format).

    https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/951894/LiveTable213.ods">https://www.gov.uk/assets/whitehall/pub-cover-spreadsheet-471052e0d03e940bbc62528a05ac204a884b553e4943e63c8bffa6b8baef8967.png">

    Table 213: permanent dwellings started and completed, by tenure, England (quarterly)

    ODS, 35.2KB

     <p class="opendocument-help">
      This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" class="govuk-link">OpenDocument</a> format
     </p>
    

    https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/951899/LiveTable217.ods">https://www.gov.uk/assets/whitehall/pub-cover-spreadsheet-471052e0d03e940bbc62528a05ac204a884b553e4943e63c8bffa6b8baef8967.png">

    Table 217: permanent dwellings started and completed by tenure and region (quarterly)

    ODS, 154KB

     <p class="opendocument-help">
      This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" class="govuk-link">OpenDocument</a> format
     </p>
    

    https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/951900/LiveTable222.ods">https://www.gov.uk/assets/whitehall/pub-cover-spreadsheet-471052e0d03e940bbc62528a05ac204a884b553e4943e63c8bffa6b8baef8967.png">

    https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/951905/LiveTable244.ods">https://www.gov.uk/assets/whitehall/pub-cover-spreadsheet-471052e0d03e940bbc62528a05ac204a884b553e4943e63c8bffa6b8baef8967.png">
  3. COVID-19 surge testing outcomes reports: management information

    • s3.amazonaws.com
    • gov.uk
    Updated Apr 1, 2021
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    Public Health England (2021). COVID-19 surge testing outcomes reports: management information [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/171/1711733.html
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    Dataset updated
    Apr 1, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Public Health England
    Description
    https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/975541/Surge_testing_summary_2021-03-26.ods">https://www.gov.uk/assets/whitehall/pub-cover-spreadsheet-471052e0d03e940bbc62528a05ac204a884b553e4943e63c8bffa6b8baef8967.png">

    Surge testing summary 1 April 2021

    ODS, 8.75KB

     <p class="opendocument-help">
      This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" class="govuk-link">OpenDocument</a> format
     </p>
    
     <div data-module="toggle" class="accessibility-warning" id="attachment-5074041-accessibility-help">
      <p>This file may not be suitable for users of assistive technology.</p>
      <details class="gem-c-details govuk-details govuk-!-margin-bottom-3">
    

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    version of this document in a more accessible format, please email publications@phe.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

    Work is underway in NHS Test and Trace to digitally label samples associated with surge testing, through an end-to-end process from sample to sequence. In the interim, this preliminary analysis uses a pragmatic proxy of samples identified through local surge testing initiatives as:

    • specimens taken at a mobile test unit (MTU), regional test site (RTS) or local test site (LTS) that has been designated by NHS Test and Trace as related to surge testing, during the period surge testing was in operation PLUS

    • specimens from a home test kit delivered to a postcode within a designated surge test area, during the period surge testing was in operation

    Tests undertaken as part of surge testing but from persons resident in other postcodes or processed through a test site not designated as surge testing using the definition above, will not be included in this proxy.

    Indicators are presented by ‘locality’ of area targeted for surge testing and the test sites linked to it (including MTU deployment). Locality names are the operational names assigned by Test and Trace and do not necessarily relate to strict geographical boundaries. Specimens from individuals who do not reside in the locality – but who have been tested at a site associated with the locality for surge testing – may be included.

    All variant of concern or variant under investigation samples identified through surge testing are verified through established PHE dataflows and matched to the earliest positive specimen of a case in the daily line list of cases. Therefore, this report does not include sequencing for any cases with a positive specimen taken prior to surge testing. Data from the last 7 days has been excluded to allow time for sequencing data to be reported.

    Lateral Flow Device (LFD) testing and cases first identified using LFD are included. Cases first identified using LFD may have a later PCR sample which has been sequenced. LFD contribution to case rate is assumed to be similar in surge and non-surge areas and therefore should not impact comparative sequencing estimates.<

  4. d

    3.2 Emergency readmissions within 30 days of discharge from hospital

    • digital.nhs.uk
    csv, pdf, xlsx
    Updated Oct 27, 2022
    + more versions
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    (2022). 3.2 Emergency readmissions within 30 days of discharge from hospital [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/ccg-outcomes-indicator-set/october-2022
    Explore at:
    pdf(269.9 kB), csv(182.0 kB), xlsx(230.8 kB), pdf(158.3 kB)Available download formats
    Dataset updated
    Oct 27, 2022
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Apr 1, 2013 - Mar 31, 2022
    Area covered
    England
    Description

    Percentage of emergency admissions to any hospital in England occurring within 30 days of the last, previous discharge from hospital after admission; indirectly standardised by age, sex, method of admission and diagnosis / procedure. Admissions for cancer and obstetrics are excluded. October 2022: This is the last CCGOIS publication. All Clinical Commissioning Groups (CCGs) were statutorily abolished on the 1 July 2022, and from this point all statutory obligations are managed by the Integrated Care Boards (ICBs). ICBs were established as statutory bodies from July 2022 and succeed Sustainability and Transformation Partnerships (STPs). These came into effect on 1 July 2022. A transition phase has been implemented from 1 July 2022, during which the 106 Organisation Data Service (ODS) codes that identified CCGs will be temporarily retained, but the names will be changed to identify the ‘Sub ICB Location’. February 2021: There is an ongoing review by NHS Digital of Emergency Readmissions which includes indicators across the frameworks. Phase Two of the review has been on hold during the pandemic although we hope re-start this work during 2021. During the review this indicator is designated as an experimental statistic. Experimental statistics are official statistics which are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. Please see the methodological change paper and new specification, linked below, for more details. Legacy unique identifier: P01845

  5. Regional and local authority gas consumption statistics

    • s3.amazonaws.com
    Updated Dec 23, 2021
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    Department for Business, Energy & Industrial Strategy (2021). Regional and local authority gas consumption statistics [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/177/1775952.html
    Explore at:
    Dataset updated
    Dec 23, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Business, Energy & Industrial Strategy
    Description

    These statistics include the following estimates at the region and local authority levels, for domestic, non-domestic and total gas consumption:

    • number of gas meters
    • total consumption
    • mean and median consumption per meter

    The subnational gas consumption statistics gained National Statistics status in March 2008.

    https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1043473/subnational_gas_consumption_statistics_2005-2020.xlsx">https://www.gov.uk/assets/whitehall/pub-cover-spreadsheet-471052e0d03e940bbc62528a05ac204a884b553e4943e63c8bffa6b8baef8967.png">

    https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1043473/subnational_gas_consumption_statistics_2005-2020.xlsx">Sub-national gas consumption statistics 2005 to 2020

    MS Excel Spreadsheet, 1.29 MB

     <div data-module="toggle" class="accessibility-warning" id="attachment-6265372-accessibility-help">
      <p class="govuk-body">This file may not be suitable for users of assistive technology.</p>
      <details class="gem-c-details govuk-details govuk-!-margin-bottom-3">
    

    Request an accessible format.

       If you use assistive technology (such as a screen reader) and need a
    

    version of this document in a more accessible format, please email enquiries@beis.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

    https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1043475/subnational_gas_consumption_statistics_2005-2020.ods">https://www.gov.uk/assets/whitehall/pub-cover-spreadsheet-471052e0d03e940bbc62528a05ac204a884b553e4943e63c8bffa6b8baef8967.png">

    https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1043475/subnational_gas_consumption_statistics_2005-2020.ods">Sub-national gas consumption statistics 2005 to 2020 (alternative format)

    ODS, 1.43 MB

     <p class="govuk-body opendocument-help">
      This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" class="govuk-link">OpenDocument</a> format
     </p>
    
     <div data-module="toggle" class="accessibility-warning" id="attachment-6265379-accessibility-help">
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    Request an accessible format.

  6. Regional and local authority electricity consumption statistics

    • s3.amazonaws.com
    Updated Dec 23, 2021
    + more versions
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    Department for Business, Energy & Industrial Strategy (2021). Regional and local authority electricity consumption statistics [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/177/1775963.html
    Explore at:
    Dataset updated
    Dec 23, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Business, Energy & Industrial Strategy
    Description

    These statistics include the following estimates at the region and local authority levels, for domestic, non-domestic and total electricity consumption:

    • number of electricity meters
    • total consumption
    • mean and median consumption per meter

    The subnational electricity consumption statistics gained National Statistics status in March 2008. This status applies to all data from 2005 onwards. The 2003 and 2004 data are still classed as experimental. Electricity consumption statistics for 2003 to 2004 (experimental), and 2005 to 2020 (National Statistics) are available.

    https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1043467/subnational_electricity_consumption_statistics_2005-2020.xlsx">https://www.gov.uk/assets/whitehall/pub-cover-spreadsheet-471052e0d03e940bbc62528a05ac204a884b553e4943e63c8bffa6b8baef8967.png">

    https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1043467/subnational_electricity_consumption_statistics_2005-2020.xlsx">Sub-national electricity consumption statistics 2005 to 2020

    MS Excel Spreadsheet, 1.62 MB

     <div data-module="toggle" class="accessibility-warning" id="attachment-6265351-accessibility-help">
      <p class="govuk-body">This file may not be suitable for users of assistive technology.</p>
      <details class="gem-c-details govuk-details govuk-!-margin-bottom-3">
    

    Request an accessible format.

       If you use assistive technology (such as a screen reader) and need a
    

    version of this document in a more accessible format, please email enquiries@beis.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

    https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1043468/subnational_electricity_consumption_statistics_2005-2020.ods">https://www.gov.uk/assets/whitehall/pub-cover-spreadsheet-471052e0d03e940bbc62528a05ac204a884b553e4943e63c8bffa6b8baef8967.png">

    https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1043468/subnational_electricity_consumption_statistics_2005-2020.ods">Sub-national electricity consumption statistics 2005 to 2020 (alternative format)

    ODS, 1.81 MB

     <p class="govuk-body opendocument-help">
      This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" class="govuk-link">OpenDocument</a> format
     </p>
    

    https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/675784/file45727.xls">https://www.gov.uk/assets/whitehall/pub-cover-spreadsheet-471052e0d03e940bbc62528a05ac204a884b553e4943e63c8bffa6b8baef8967.png">

    https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/675784/file45727.xls">Experimental regional and local authority electricity consumption statistics: 2

  7. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Anonymous (2021). The dataset of the paper titled "Context-Aware Code Change Embedding for Better Patch Correctness Assessment" [Dataset]. https://data-staging.niaid.nih.gov/resources?id=zenodo_4128943

The dataset of the paper titled "Context-Aware Code Change Embedding for Better Patch Correctness Assessment"

Explore at:
Dataset updated
Jan 20, 2021
Authors
Anonymous
Description

This is the online repository of the paper "Context-Aware Code Change Embedding for Better Patch Correctness Assessment" under review by SANER2021. We release the source code of Cache, the patches used in our evaluation, as well as the experiment results.

Patches: Three patch benchmarks included in our study.

Tian: The patches from Tian's ASE20 paper.

Wang: The patches from Wang's ASE20 paper.

Cache: The patches collected by ourselves, which is consist of 17,377 deduplicated overfitting patches from RepairThemAll and 17,377 instances from ManySStuBs(used as correct patches).

Results:

RQ1: The detailed result files in RQ1, which are named by the format of [model]_[classifier].csv.

For example, the file named BERT_DT.csv in the folder Tian's_dataset means that this file is the result of patches from Tian's study embedded by BERT and classified by Decision Tree.

Tian's_dataset : The detailed result files on Tian's dataset.

Cache_dataset : The detailed result files on our own dataset.

Cross_dataset : The detailed result files of representation learning techniques when training on our own dataset and testing on Tian's dataset.

RQ2: The detailed result files in RQ2.

Wang_Cache.csv: The detailed result of Cache on the dataset from Wang's ASE20.

ODS_Cache.csv: The datailed result of Cache on the dataset from Xiong's ICSE18 paper. We directly compare against the results reported by the authors of ODS on 139 patches from Xiong's paper since the data and source code of ODS is unavailable.

Source: The source code and lib for running Cache is available at https://github.com/APR-Study/Cache.

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