Building machines that can reason about physical events and their causal relationships is crucial for flexible interaction with the physical world. However, most existing physical and causal reasoning benchmarks are exclusively based on synthetically generated events and synthetic natural language descriptions of causal relationships. This design brings up two issues. First, there is a lack of diversity in both event types and natural language descriptions; second, causal relationships based on manually-defined heuristics are different from human judgments. To address both shortcomings, we present the CLEVRER-Humans benchmark, a video reasoning dataset for causal judgment of physical events with human labels. We employ two techniques to improve data collection efficiency: first, a novel iterative event cloze task to elicit a new representation of events in videos, which we term Causal Event Graphs (CEGs); second, a data augmentation technique based on neural language generative models. ..., We use a three-stage annotation pipeline. The first stage focuses on collecting human-written event descriptions using event cloze tasks, but only for a small number of videos. In the second stage, we augment the data for all videos using neural event description generators trained on the data collected from the first stage. In the third stage, we condense CEGs by collecting binary causal relation labels for all pairs of events from humans.,
This dataset provides information about the number of properties, residents, and average property values for Lake Avenue cross streets in Clever, MO.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Clever by race. It includes the population of Clever across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Clever across relevant racial categories.
Key observations
The percent distribution of Clever population by race (across all racial categories recognized by the U.S. Census Bureau): 93.55% are white, 1.04% are American Indian and Alaska Native, 1.55% are Asian, 0.20% are some other race and 3.66% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Clever Population by Race & Ethnicity. You can refer the same here
This dataset provides information about the number of properties, residents, and average property values for Willoughby Road cross streets in Clever, MO.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Clever 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 Clever. The dataset can be utilized to understand the population distribution of Clever by age. For example, using this dataset, we can identify the largest age group in Clever.
Key observations
The largest age group in Clever, MO was for the group of age 35 to 39 years years with a population of 319 (10.72%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Clever, MO was the 85 years and over years with a population of 17 (0.57%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Clever Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Clever Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Clever, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Clever.
Key observations
Among the Hispanic population in Clever, regardless of the race, the largest group is of Mexican origin, with a population of 18 (72% of the total Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Origin for Hispanic or Latino population include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Clever Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Clever by race. It includes the distribution of the Non-Hispanic population of Clever across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Clever across relevant racial categories.
Key observations
Of the Non-Hispanic population in Clever, the largest racial group is White alone with a population of 2,778 (94.11% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Clever Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Clever by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Clever across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of male population, with 50.45% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Clever Population by Race & Ethnicity. You can refer the same here
This dataset provides information about the number of properties, residents, and average property values for Public Avenue cross streets in Clever, MO.
This dataset provides information about the number of properties, residents, and average property values for Maple Street cross streets in Clever, MO.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Credit report of Clever Cats Int L Company contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.
This dataset provides information about the number of properties, residents, and average property values for Osage Street cross streets in Clever, MO.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about stocks and is filtered where the company is CLEVER LEAVES, featuring 8 columns including company, currency, exchange, exchange symbol, and stock. The preview is ordered by stock (ascending).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Credit report of Clever Srl Unipersonale Clever Machines contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.
Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
License information was derived automatically
The map shows the CLEVER Cities project area from the EU funding program Horizon 2020 in Hamburg, Neugraben-Fischbek. The project area extends from the center of Neugraben through the Vogelkamp development area (planned development area), the Fischbek-Falkenberg district school, the old village center of Fischbek and the Sandbek settlement to the Fischbeker-Reethen development area in the west on the state border with Lower Saxony. Clever Cities Projects: Various CLEVER projects are located within the project area, which represent nature-based, co-creative solutions to urban challenges such as heavy rain events, citizen satisfaction or increasing biodiversity. You can find more about the individual projects here: https://preview.poc.hamburg.de/hhcae-cm7/servlet/segment/de/harburg/clever-cities-projects Clever Cities Corridor: The project area is located between the moor belt nature reserves in the north and the Fischbeker Heide in the south. The two protected areas, which are of great importance for the protection of nature and species throughout the city, are separated from one another by the sometimes dense development of Neugraben-Fischbek. Clever Cities aims to create linear, nature-based connections (green connections) between the two protected areas. The various Clever projects are to be linked by a green corridor that runs through the settlement strip. Clever Cities Planning Area: In the Clever project area, other plans such as RISE development areas for sustainable district development (planning area inventory structure) or large-scale newly created building areas (planned development areas) are included.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about book subjects and is filtered where the books is Clever Cat's book of colours, featuring 10 columns including authors, average publication date, book publishers, book subject, and books. The preview is ordered by number of books (descending).
https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/
Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Clever-Concepts-Inc..
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about books and is filtered where the book is Mr Clever, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Credit report of Todd Clever contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.
Building machines that can reason about physical events and their causal relationships is crucial for flexible interaction with the physical world. However, most existing physical and causal reasoning benchmarks are exclusively based on synthetically generated events and synthetic natural language descriptions of causal relationships. This design brings up two issues. First, there is a lack of diversity in both event types and natural language descriptions; second, causal relationships based on manually-defined heuristics are different from human judgments. To address both shortcomings, we present the CLEVRER-Humans benchmark, a video reasoning dataset for causal judgment of physical events with human labels. We employ two techniques to improve data collection efficiency: first, a novel iterative event cloze task to elicit a new representation of events in videos, which we term Causal Event Graphs (CEGs); second, a data augmentation technique based on neural language generative models. ..., We use a three-stage annotation pipeline. The first stage focuses on collecting human-written event descriptions using event cloze tasks, but only for a small number of videos. In the second stage, we augment the data for all videos using neural event description generators trained on the data collected from the first stage. In the third stage, we condense CEGs by collecting binary causal relation labels for all pairs of events from humans.,