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HTML Generation Evaluation
Overview
To evaluate our model's HTML generation performance, we have constructed a comprehensive evaluation dataset covering diverse web development scenarios. This dataset includes:
Web Development: Landing pages, e-commerce sites, responsive layouts, and financial dashboards 3D Scene Design: WebGL scenes, Three.js applications, and interactive 3D models Game Design: Browser-based games, interactive gameplay, and physics-based games Physics… See the full description on the dataset page: https://huggingface.co/datasets/nex-agi/html-eval.
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Twitterrabiulawal/bigdoc-ft-html dataset hosted on Hugging Face and contributed by the HF Datasets community
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TwitterWebClasSeg25 Dataset Collection
The WebClasSeg25 dataset series provides structured data for webpage segment detection, offering both functional segmentation (FC) and maturity classification (MC). The datasets are designed for accessibility and ease of use in model training, with different levels of granularity.
Dataset Collection Overview
WebClasSeg25-html
Contains the full HTML code of each website.
Each page is assigned a unique key, which links… See the full description on the dataset page: https://huggingface.co/datasets/gerbejon/WebClasSeg25-html-nodes-mc.
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TwitterThese files contain the spatial boundaries of the NOAA Fisheries Bottom-trawl surveys. This data set covers 7 regions of the United States: Northeast, Southeast, Gulf of Mexico, West Coast, Eastern Bering Sea, Aleutian Islands, and Gulf of Alaska.
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Twitterbs-modeling-metadata/c4-en-html-with-metadata dataset hosted on Hugging Face and contributed by the HF Datasets community
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TwitterRelease Notes
The following is a summary of the differences between the current release DSM2 FC.2023.01 and the previous release DSM2 v8.2.2:
This release contains time series inputs from the 2022 DSM2 historical release, with the following changes: - removed lower flow values from Calaveras River inflow time series. These lower flows do not actually make it to the Delta. - Added a time series for Yolo Toe Drain (aka Prospect Slough) inflow.
Source Code:
DSM2 HYDRO, QUAL, and PTM:
https://github.com/CADWRDeltaModeling/dsm2/releases/
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TwitterTIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset includes all block faces with parking in Washington, DC according to their digital curb identification number. Attributes include block address with side of street, resident permit parking zone, payment zones, rush hour restrictions, some revenue and generalized curbside policy.
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A vocabulary that defines how to represent HTML forms and fields (input, select, etc.) and CRUD operations on the fields. See http://esw.w3.org/topic/PushBackDataToLegacySourcesRDForms for more details.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This data set is an extract of the California Watershed (calwater) dataset. It has been generalized to hydrologic sub-areas for those watersheds that are considered part of the historical coho salmon range.
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TwitterAttribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
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The entire Vermont extent of the National Flood Hazard Layer (NFHL) as acquired 12/15/15 from the FEMA Map Service Center msc.fema.gov upon publication 12/2/2015 and converted to VSP.The FEMA DFIRM NFHL database compiles all available officially-digitized Digital Flood Insurance Rate Maps. This extract from the FEMA Map Service Center includes all of such data in Vermont including counties and a few municipalities. This data includes the most recent map update for Bennington County effective 12/2/2015.DFIRM - Letter of Map Revision (LOMR) DFIRM X-Sections DFIRM Floodways Special Flood Hazard Areas (All Available)
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TwitterThis data contains milepoints in 1/10th mile increments on state owned highways.
Additional metadata resouce: https://geoportalprod-ordot.msappproxy.net/geoportal/catalog/main/home.page
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ABOUT THE COMMUNITY SURVEY DATASETFinal Reports for ETC Institute conducted annual community attitude surveys for the City of Tempe. These survey reports help determine priorities for the community as part of the City's on-going strategic planning process. In many of the survey questions, survey respondents are asked to rate their satisfaction level on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (while some questions follow another scale). The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.This data is the weighted data provided by the ETC Institute, which is used in the final published PDF report. PERFORMANCE MEASURESData collected in these surveys applies directly to a number of performance measures for the City of Tempe including the following (as of 2021): 1. Safe and Secure Communities1.04 Fire Services Satisfaction1.06 Victim Not Reporting Crime to Police1.07 Police Services Satisfaction1.09 Victim of Crime1.10 Worry About Being a Victim1.11 Feeling Safe in City Facilities1.23 Feeling of Safety in Parks2. Strong Community Connections2.02 Customer Service Satisfaction2.04 City Website Quality Satisfaction2.05 Online Services Satisfaction Rate2.15 Feeling Invited to Participate in City Decisions2.21 Satisfaction with Availability of City Information3. Quality of Life3.16 City Recreation, Arts, and Cultural Centers3.17 Community Services Programs3.19 Value of Special Events3.23 Right of Way Landscape Maintenance3.36 Quality of City Services4. Sustainable Growth & DevelopmentNo Performance Measures in this category presently relate directly to the Community Survey5. Financial Stability & VitalityNo Performance Measures in this category presently relate directly to the Community Survey Additional InformationSource: Community Attitude SurveyContact (author): Wydale HolmesContact E-Mail (author): wydale_holmes@tempe.govContact (maintainer): Wydale HolmesContact E-Mail (maintainer): wydale_holmes@tempe.govData Source Type: Excel tablePreparation Method: Data received from vendorPublish Frequency: AnnualPublish Method: Manual
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This dataset contains Free and Reduced Lunch information, by Michigan Senate districts, for the state of Michigan in Fall 2017. Free and Reduced Lunch data was provided by Center for Educational Performance and Information via MI School Data.Click here for metadata (descriptions of the fields).
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Hometown for All is the city’s innovative affordable housing initiative approved by the Tempe City Council in January 2021. The initiative accelerates the growth of affordable and workforce housing by creating a sustainable funding source. Site is Google Translate enabled. DO NOT DELETE OR MODIFY THIS ITEM. This item is managed by the ArcGIS Hub application. To make changes to this page, please visit https://tempegov.hub.arcgis.com:/overview/edit.
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This layer shows poverty status by age group. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer is symbolized to show the percentage of the population whose income falls below the Federal poverty line. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2018-2022ACS Table(s): B17020 (Not all lines of these ACS tables are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community SurveyData Preparation: Data curated from Esri Living Atlas clipped to Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: December 15, 2023National Figures: data.census.gov
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TwitterFarmland classification identifies map units as prime farmland, farmland of statewide importance, farmland of local importance, or unique farmland. It identifies the location and extent of the soils that are best suited to food, feed, fiber, forage, and oilseed crops. NRCS policy and procedures on prime and unique farmlands are published in the "Federal Register," Vol. 43, No. 21, January 31, 1978.This data set is a digital soil survey and generally is the mostdetailed level of soil geographic data developed by the NationalCooperative Soil Survey. The information was prepared by digitizingmaps, by compiling information onto a planimetric correct baseand digitizing, or by revising digitized maps using remotelysensed and other information.This data set consists of georeferenced digital map data andcomputerized attribute data. The map data are in a soil survey areaextent format and include a detailed, field verified inventoryof soils and miscellaneous areas that normally occur in a repeatablepattern on the landscape and that can be cartographically shown atthe scale mapped. The soil map units are linked to attributes in theNational Soil Information System relational database, which givesthe proportionate extent of the component soils and their properties.
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This submission includes the following: - Field Characteristics: Describes the geological and production field characteristics of sampling sites - Geochemistry of Produced Fluids Idaho-Nevada-New Mexico-Oregon-Utah: Summarizes the all the analytical results for aqueous samples collected from geothermal production wells, hydrocarbon production wells, and hot springs. - Geochemistry of Reservoir Rocks & Calcite Scales Nevada-Utah: Analytical results of trace element analyses of reservoir drill cuttings from Beowawe, Dixie Valley, Roosevelt Hot Springs, Uinta Basin, and Paradox Basin (Aneth field); also includes analyses of Dixie Valley calcite scales and rocks in the Sevier Thermal Belt, Utah. - Lithology and mineralogy of drill cuttings from Beowawe, Dixie Valley and Roosevelt Hot Springs: Lithological and mineralogical characterization of drill cuttings from Beowawe, Dixie Valley and Roosevelt Hot Springs - Geological Settings of Critical Element Mineral Deposits: Brief summary and references regarding the geological settings of critical element mineral deposits
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This file contains additional data for this test (hydroshear test 3.2). In this test a sample of granite with a pre-cut (man made fracture) is confined, heated and differential stress is applied. The max temperature in this this system development test is 95C. More test details can be found on the spreadsheets.
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TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
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HTML Generation Evaluation
Overview
To evaluate our model's HTML generation performance, we have constructed a comprehensive evaluation dataset covering diverse web development scenarios. This dataset includes:
Web Development: Landing pages, e-commerce sites, responsive layouts, and financial dashboards 3D Scene Design: WebGL scenes, Three.js applications, and interactive 3D models Game Design: Browser-based games, interactive gameplay, and physics-based games Physics… See the full description on the dataset page: https://huggingface.co/datasets/nex-agi/html-eval.