100+ datasets found
  1. h

    SHP

    • huggingface.co
    • opendatalab.com
    Updated Mar 1, 2023
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    Stanford NLP (2023). SHP [Dataset]. https://huggingface.co/datasets/stanfordnlp/SHP
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 1, 2023
    Dataset authored and provided by
    Stanford NLP
    Description

    🚢 Stanford Human Preferences Dataset (SHP)

    If you mention this dataset in a paper, please cite the paper: Understanding Dataset Difficulty with V-Usable Information (ICML 2022).

      Summary
    

    SHP is a dataset of 385K collective human preferences over responses to questions/instructions in 18 different subject areas, from cooking to legal advice. The preferences are meant to reflect the helpfulness of one response over another, and are intended to be used for training RLHF… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/SHP.

  2. a

    Topographic - All Features (SHP)

    • hub.arcgis.com
    Updated Oct 31, 2020
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    City of Coquitlam (2020). Topographic - All Features (SHP) [Dataset]. https://hub.arcgis.com/documents/fb00e2c0b27e471da76571e466cece21
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    Dataset updated
    Oct 31, 2020
    Dataset authored and provided by
    City of Coquitlam
    Description

    Complete Topographic dataset in shapefile format. Consume this dataset if you wish to download the entire Topographic dataset at once.

  3. USA State Shapefiles

    • kaggle.com
    zip
    Updated Nov 22, 2025
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    Nick Switzer (2025). USA State Shapefiles [Dataset]. https://www.kaggle.com/datasets/nswitzer/usa-state-shapeflies
    Explore at:
    zip(3299828 bytes)Available download formats
    Dataset updated
    Nov 22, 2025
    Authors
    Nick Switzer
    Area covered
    United States
    Description

    Shapefiles for mapping and understanding overlaps

    sf package in R. geopandas in Python.

    https://www.census.gov/geographies/mapping-files/time-series/geo/carto-boundary-file.html

  4. Shapefile

    • geopostcodes.com
    shp
    Updated Aug 23, 2025
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    GeoPostcodes (2025). Shapefile [Dataset]. https://www.geopostcodes.com/continent/asia/shapefile/
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    shpAvailable download formats
    Dataset updated
    Aug 23, 2025
    Dataset authored and provided by
    GeoPostcodes
    Description

    Download high-quality, up-to-date shapefile boundaries (SHP, projection system SRID 4326). Our Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

  5. SHP Data Indonesia

    • kaggle.com
    zip
    Updated Sep 15, 2019
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    Imam Muhajir (2019). SHP Data Indonesia [Dataset]. https://www.kaggle.com/datasets/imammuhajir/map-data
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    zip(25511224 bytes)Available download formats
    Dataset updated
    Sep 15, 2019
    Authors
    Imam Muhajir
    Area covered
    Indonesia
    Description

    Dataset

    This dataset was created by Imam Muhajir

    Contents

  6. n

    Dataset Packages GIS data ZIP Download shapefile and ESRI layer file Soil...

    • datasets.seed.nsw.gov.au
    Updated Jun 30, 1998
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    (1998). Dataset Packages GIS data ZIP Download shapefile and ESRI layer file Soil landscape map JPEG Download high quality JPG map Soil landscape data package ZIP Download complete package: GIS data, soil landscape reports and JPG map. Soil landscape reports ZIP Download complete soil landscape report & individual landscape descriptions. [Dataset]. https://datasets.seed.nsw.gov.au/dataset/soil-landscapes-of-the-blackville-1-100000-sheet6cfd7
    Explore at:
    Dataset updated
    Jun 30, 1998
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This map is one of a series of soil landscape maps that are intended for all of eastern and central NSW, based on standard 1:100,000 or 1:250,000 topographic sheets. The map provides an inventory of soil and landscape properties of the Blackville area and identifies major soil and landscape qualities and constraints. It integrates soil and topographic features into single units with relatively uniform land management requirements. Soils are described in terms of soil materials in addition to Australian Soil Classification and Great Soil Group systems. Related Datasets: The dataset area is also covered by the mapping of the Soil and Land Resources of the Liverpool Plains Catchment and Hydrogeological landscapes of NSW. Online Maps: This and related datasets can be viewed using eSPADE (NSW’s soil spatial viewer), which contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the SEED Map; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area. Reference: Banks RG, 1998, Soil Landscapes of the Blackville 1:100,000 Sheet map and report, NSW Department of Land and Water Conservation, Sydney.

  7. a

    Cadastral - All Features (SHP)

    • hub.arcgis.com
    Updated Oct 27, 2020
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    City of Coquitlam (2020). Cadastral - All Features (SHP) [Dataset]. https://hub.arcgis.com/documents/ba5fd8299c474010aecfa6fe3df2f527
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    Dataset updated
    Oct 27, 2020
    Dataset authored and provided by
    City of Coquitlam
    Description

    Complete Cadastral dataset in shapefile format. Consume this dataset if you wish to download the entire Cadastral dataset at once.

  8. TIGER/Line Shapefile, 2022, County, San Francisco County, CA, All Lines

    • catalog.data.gov
    Updated Jan 28, 2024
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, County, San Francisco County, CA, All Lines [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-county-san-francisco-county-ca-all-lines
    Explore at:
    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    San Francisco, California
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

  9. TIGER/Line Shapefile, 2022, County, Williamson County, TN, All Lines

    • catalog.data.gov
    Updated Jan 28, 2024
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, County, Williamson County, TN, All Lines [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-county-williamson-county-tn-all-lines
    Explore at:
    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Williamson County, Tennessee
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

  10. v

    Addresses (.shp)

    • vgin.vdem.virginia.gov
    • hub.arcgis.com
    • +1more
    Updated Oct 17, 2025
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    City of Harrisonburg (2025). Addresses (.shp) [Dataset]. https://vgin.vdem.virginia.gov/datasets/dc60bbdab8bd492f9e0881b6a160acfc
    Explore at:
    Dataset updated
    Oct 17, 2025
    Dataset authored and provided by
    City of Harrisonburg
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    The downloaded .zip file contains a shapefile of the Addresses in the City of Harrisonburg, Virginia.The file available for download is updated every month.

  11. C

    DSM2 Georeferenced Model Grid

    • data.cnra.ca.gov
    • data.ca.gov
    • +1more
    Updated Sep 12, 2025
    + more versions
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    California Department of Water Resources (2025). DSM2 Georeferenced Model Grid [Dataset]. https://data.cnra.ca.gov/dataset/dsm2-georeferenced-model-grid
    Explore at:
    pdf(22679496), pdf(25962387), zip(158973), arcgis desktop map package(211110), zip(228604), pdf(22669649), zip(26881), arcgis pro map package(153901), zip(159621), pdf(20463896), arcgis desktop map package(300515), pdf(1443441), zip(140121), zip(149795)Available download formats
    Dataset updated
    Sep 12, 2025
    Dataset authored and provided by
    California Department of Water Resources
    Description

    ArcGIS and QGIS map packages, with ESRI shapefiles for the DSM2 Model Grid. These are not finalized products. Locations in these shapefiles are approximate.

    Monitoring Stations - shapefile with approximate locations of monitoring stations.

    DSM2 Grid 2025-05-28 Historical

    FC_2023.01

    DSM2 v8.2.0, calibrated version:

    • dsm2_8_2_grid_map_calibrated.mpkx - ArcGIS Pro map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_grid_map_calibrated.mpk - ArcGIS Desktop map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_0_calibrated_grid_map_qgis.zip - QGIS map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_0_calibrated_gridmap_shapefiles.zip - A zip file containing all the shapefiles used in the above map packages:
    • dsm2_8_2_0_calibrated_channels_centerlines - channel centerlines, follwing the path of CSDP centerlines
    • dsm2_8_2_0_calibrated_network_channels - channels represented by straight line segments which are connected the upstream and downstream nodes
    • dsm2_8_2_0_calibrated_nodes - DSM2 nodes
    • dsm2_8_2_0_calibrated_dcd_only_nodes - Nodes that are only used by DCD
    • dsm2_8_2_0_calibrated_and_dcd_nodes - Nodes that are shared by DSM2 and DCD
    • dsm2_8_2_0_calibrated_and_smcd_nodes - Nodes that are shared by DSM2 and SMCD
    • dsm2_8_2_0_calibrated_gates_actual_loc - The approximate actual locations of each gate in DSM2
    • dsm2_8_2_0_calibrated_gates_grid_loc - The locations of each gate in the DSM2 model grid
    • dsm2_8_2_0_calibrated_reservoirs - The approximate locations of the reservoirs in DSM2
    • dsm2_8_2_0_calibrated_reservoir_connections - Lines showing connections from reservoirs to nodes in DSM2

    DSM2 v8.2.1, historical version:

    • DSM2 v8.2.1, historical version grid map release notes (PDF), updated 7/12/2022
    • DSM2 v8.2.1, historical version grid map, single zoom level (PDF)
    • DSM2 v8.2.1, historical version grid map, multiple zoom levels (PDF) - PDF grid map designed to be printed on 3 foot wide plotter paper.
    • DSM2 v8.2.1, historical version map package for ArcGIS Desktop: A map package for ArcGIS Desktop containing the grid map layers with symbology.
    • DSM2 v8.2.1, historical version grid map shapefiles (zip): A zip file containing the shapefiles used in the grid map.

    Change Log

    7/12/2022: The document "DSM2 v8.2.1, historical version grid map release notes (PDF)" was corrected by removing section 4.4, which incorrectly stated that the grid included channels 710-714, representing the Toe Drain, and that the Yolo Flyway restoration area was included.

  12. TIGER/Line Shapefile, 2023, County, Berkeley County, SC, All Lines

    • catalog.data.gov
    • s.cnmilf.com
    Updated Aug 10, 2025
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2025). TIGER/Line Shapefile, 2023, County, Berkeley County, SC, All Lines [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-berkeley-county-sc-all-lines
    Explore at:
    Dataset updated
    Aug 10, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Berkeley County, South Carolina
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

  13. a

    Rights of Way - All Features (SHP)

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Oct 29, 2020
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    City of Coquitlam (2020). Rights of Way - All Features (SHP) [Dataset]. https://hub.arcgis.com/documents/2cda870ec40348fd99c16c609e46cc24
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    Dataset updated
    Oct 29, 2020
    Dataset authored and provided by
    City of Coquitlam
    Description

    Complete Rights of Way dataset in shapefile format. Consume this dataset if you wish to download the entire Rights of Way dataset at once.

  14. a

    Contours (2021) - for downloading

    • opendata.atlantaregional.com
    • hub.arcgis.com
    Updated Aug 3, 2021
    + more versions
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    City of Johns Creek, GA (2021). Contours (2021) - for downloading [Dataset]. https://opendata.atlantaregional.com/datasets/6634984907b34ecf9d7828a0a0f265b7
    Explore at:
    Dataset updated
    Aug 3, 2021
    Dataset authored and provided by
    City of Johns Creek, GA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This dataset is very large and detailed. As a result, there is no option to download a single dataset of the entire City as a shapefile (.shp) since it would exceed the 2 GB file size limit. If you intend to use this data in a CAD program, you should download the zone(s) in shapefile format and attach the data to your project.

     Download Shapefile by Zone(click on a zone to start the download)
    
    
    
      Zone A
    
    
    
    
    
      Zone C
    
    
      Zone B
    
    
    
    
    
      Zone D
    
  15. v

    Parcels and MOD-IV of Essex County, NJ (shp download)

    • anrgeodata.vermont.gov
    • hub.arcgis.com
    • +1more
    Updated Sep 15, 2025
    + more versions
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    New Jersey Office of GIS (2025). Parcels and MOD-IV of Essex County, NJ (shp download) [Dataset]. https://anrgeodata.vermont.gov/documents/34f9940598fc409094a28032e54c864e
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    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    New Jersey Office of GIS
    Area covered
    Description

    This parcels dataset is a spatial representation of tax lots for Essex County, New Jersey that have been extracted from the NJ statewide parcels composite by the NJ Office of Information Technology, Office of GIS (NJOGIS). Parcels at county boundaries have been modified to correspond with the NJ county boundaries and the parcels in adjacent counties.Each parcel contains a field named PAMS_PIN based on a concatenation of the county/municipality code, block number, lot number and qualification code. Using the PAMS_PIN, the dataset can be joined to the MOD-IV database table that contains supplementary attribute information regarding lot ownership and characteristics. Due to irregularities in the data development process, duplicate PAMS_PIN values exist in the parcel records. Users should avoid joining MOD-IV database table records to all parcel records with duplicate PAMS_PINs because of uncertainty regarding whether the MOD-IV records will join to the correct parcel records. There are also parcel records with unique PAMS_PIN values for which there are no corresponding records in the MOD-IV database tables. This is mostly due to the way data are organized in the MOD-IV database.The polygons delineated in the dataset do not represent legal boundaries and should not be used to provide a legal determination of land ownership. Parcels are not survey data and should not be used as such.The MOD-IV system provides for uniform preparation, maintenance, presentation and storage of property tax information required by the Constitution of the State of New Jersey, New Jersey Statutes and rules promulgated by the Director of the Division of Taxation. MOD-IV maintains and updates all assessment records and produces all statutorily required tax lists for property tax bills. This list accounts for all parcels of real property as delineated and identified on each municipality's official tax map, as well as taxable values and descriptive data for each parcel. Tax List records were received as raw data from the Taxation Team of NJOIT which collected source information from municipal tax assessors and created the statewide table. This table was subsequently processed for ease of use with NJ tax parcel spatial data and split into an individual table for each county.***NOTE*** For users who incorporate NJOGIS services into web maps and/or web applications, please sign up for the NJ Geospatial Forum discussion listserv for early notification of service changes. Visit https://nj.gov/njgf/about/listserv/ for more information.

  16. e

    Dataset Direct Download Service (WFS): N_DOCUMENT_PPRN_045.shp

    • data.europa.eu
    unknown
    + more versions
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    Dataset Direct Download Service (WFS): N_DOCUMENT_PPRN_045.shp [Dataset]. https://data.europa.eu/data/datasets/fr-120066022-srv-8b48e4a3-f7c1-453f-9460-2f2d6d91fe0b
    Explore at:
    unknownAvailable download formats
    Description

    geographical table containing the contours of all the PPRi of the Loiret

  17. o

    Oakland City Council Districts - Shape Files - shp

    • data.openoakland.org
    zip
    Updated Apr 6, 2016
    + more versions
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    (2016). Oakland City Council Districts - Shape Files - shp [Dataset]. http://data.openoakland.org/dataset/oakland-city-council-districts-shape-files-shp
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 6, 2016
    Description

    The attached zip file contains the shapefile for Oakland's city council districts. You need all the files included in the zip file to open the .shp file, so please download the whole zip archive.

  18. m

    Sample SHP file

    • mygeodata.cloud
    Updated Jul 10, 2025
    + more versions
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    (2025). Sample SHP file [Dataset]. https://mygeodata.cloud/converter/asc-to-shp
    Explore at:
    Dataset updated
    Jul 10, 2025
    Description

    Sample data in ESRI Shapefile format available for download for testing purposes.

  19. TIGER/Line Shapefile, 2022, County, Bexar County, TX, All Lines

    • catalog.data.gov
    • datasets.ai
    Updated Jan 28, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, County, Bexar County, TX, All Lines [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-county-bexar-county-tx-all-lines
    Explore at:
    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Department of Commercehttp://commerce.gov/
    United States Census Bureauhttp://census.gov/
    Area covered
    Texas, Bexar County
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

  20. TIGER/Line Shapefile, 2023, County, Polk County, FL, All Lines

    • catalog.data.gov
    Updated Aug 11, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2025). TIGER/Line Shapefile, 2023, County, Polk County, FL, All Lines [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-polk-county-fl-all-lines
    Explore at:
    Dataset updated
    Aug 11, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Polk County
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

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Stanford NLP (2023). SHP [Dataset]. https://huggingface.co/datasets/stanfordnlp/SHP

SHP

stanfordnlp/SHP

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24 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Mar 1, 2023
Dataset authored and provided by
Stanford NLP
Description

🚢 Stanford Human Preferences Dataset (SHP)

If you mention this dataset in a paper, please cite the paper: Understanding Dataset Difficulty with V-Usable Information (ICML 2022).

  Summary

SHP is a dataset of 385K collective human preferences over responses to questions/instructions in 18 different subject areas, from cooking to legal advice. The preferences are meant to reflect the helpfulness of one response over another, and are intended to be used for training RLHF… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/SHP.

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