A synthetic set of realistic, non-PII, fictitious employee profiles and test scenarios to test Human Resource (HR), Time and Attendance (T&A), and Payroll Systems.

saketh-chervu/wordle-sft-golden-data dataset hosted on Hugging Face and contributed by the HF Datasets community

About this dataset

Context

The dataset tabulates the Golden population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Golden. The dataset can be utilized to understand the population distribution of Golden by age. For example, using this dataset, we can identify the largest age group in Golden.

Key observations

The largest age group in Golden, MS was for the group of age 20 to 24 years years with a population of 24 (13.48%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Golden, MS was the 10 to 14 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Golden is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Golden total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Golden Population by Age. You can refer the same here

Dataset Card for Anthropic_HH_Golden_Formatted

As per the original dataset: This dataset is constructed to test the ULMA technique as mentioned in the paper Unified Language Model Alignment with Demonstration and Point-wise Human Preference. They show that replacing the positive samples in a preference dataset by high-quality demonstration data (golden data) greatly improves the performance of various alignment methods (RLHF, DPO, ULMA). In particular, the ULMA method exploits… See the full description on the dataset page: https://huggingface.co/datasets/alvarobartt/Anthropic_HH_Golden_Formatted.

About this dataset

Context

The dataset tabulates the data for the Golden, CO population pyramid, which represents the Golden population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Golden, CO, is 15.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Golden, CO, is 16.0.
• Total dependency ratio for Golden, CO is 31.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Golden, CO is 6.3.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Golden population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Golden for the selected age group is shown in the following column.
• Population (Female): The female population in the Golden for the selected age group is shown in the following column.
• Total Population: The total population of the Golden for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Golden Population by Age. You can refer the same here

This dataset provides information about the number of properties, residents, and average property values for Golden Road cross streets in Golden, CO.

Of the 21 golden eagles satellite-tagged in Salmon, Idaho and Snake River National Conservation Area, 10 were also radio-tagged with tail-mounted very high frequency (VHF) transmitters to allow for behavioral observations between 1993 and 1994. The observed data were originally processed as a DIF file. The Data at Risk preservation project transformed the original DIF file data into CSV format and created a shapefile from the geospatial points. The observed data shapefile (Observed_Data.shp) provides the 682 estimated locations of the golden eagles and all behavioral observations taken in the field. The information provided in the Observed dataset can be related to the other two datasets via each bird’s unique PTT number.

The satellite data consist of 9,253 estimated locations of 21 golden eagles that were satellite-tagged in either east-central Idaho (Salmon, Idaho) or southwestern Idaho (Snake River National Conservation Area) and tracked between 1993 and 1997 via the Argos satellite system. The raw eagle tracking data provided by Argos were filtered one time using a version of the Douglas Argos-Filter Algorithm and converted into XLS spreadsheet form. This preservation project preserved the geospatial and satellite information from the XLS spreadsheet and released it in shapefile format (Satellite_Data.shp) and CSV format (Satellite_Data.csv). Each tagged bird in this dataset has a unique PTT number that is consistent across the three datasets in this release. Each of the 21 golden eagles (with 23 total PTT IDs, due to recaptures) have satellite location information (provided in the Satellite_Data shapefile and CSV) and 11 of these birds have behavioral observations taken from the ground (see CSV on Observational Data landing page located here: https://www.sciencebase.gov/catalog/item/5ae8c2c0e4b06d9233b8a874). The banding data spreadsheet (see Banding Data landing page located here: https://www.sciencebase.gov/catalog/item/5c48bd17e4b0708288f25795) indicates which of the 21 satellite-tagged birds have associated observation data.

1244 Global import shipment records of Golden with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Timeseries data from 'Mid-span Golden Gate Bridge (ggbc1)' (gov_noaa_nws_ggbc1)

Customs records of are available for GOLDEN LADY COMPANY S.P.A.. Learn about its Importer, supply capabilities and the countries to which it supplies goods

This dataset provides information about the number of properties, residents, and average property values for 16th Street cross streets in Golden, CO.

DISCOVERAQ_Colorado_Ground_NREL-Golden_Data contains data collected at the NREL-Golden ground site during the Colorado (Denver) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the Colorado deployment and data collection is complete.Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.DISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.

Customs records of are available for M.S. GOLDEN CRYSTAL INDUSTRY CO LT. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Data has been processed by NODC to the NODC standard Bathythermograph (MBT) (C128) format. The C128 format is used for temperature-depth profile data obtained using the mechanical bathythermograph (MBT) instrument. The maximum depth of MBT observations is approximately 285 m. Therefore, MBT data are useful only in studying the thermal structure of the upper layers of the ocean. Cruise information, date, position, and time are reported for each observation. The data record comprises pairs of temperature-depth values. Temperature data in this file are recorded at uniform 5 m depth intervals.

Customs records of are available for GOLDEN EAGLE SOURCE INC. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Customs records of are available for GOLDEN GLORY WORLD CO.,LTD. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Customs records of are available for DONGGUAN GOLDEN MEMORY DISPLAY PROD DONGGUAN GOLDEN MEMORY. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.