Recent breakthroughs in diffusion models, multimodal pretraining, and efficient finetuning have led to an explosion of text-to-image generative models. Given human evaluation is expensive and difficult to scale, automated methods are critical for evaluating the increasingly large number of new models. However, most current automated evaluation metrics like FID or CLIPScore only offer a holistic measure of image quality or image-text alignment, and are unsuited for fine-grained or instance-level analysis. In this paper, we introduce GenEval, an object-focused framework to evaluate compositional image properties such as object co-occurrence, position, count, and color. We show that current object detection models can be leveraged to evaluate text-to-image models on a variety of generation tasks with strong human agreement, and that other discriminative vision models can be linked to this pipeline to further verify properties like object color. We then evaluate several open-source text-to-image models and analyze their relative generative capabilities on our benchmark. We find that recent models demonstrate significant improvement on these tasks, though they are still lacking in complex capabilities such as spatial relations and attribute binding. Finally, we demonstrate how GenEval might be used to help discover existing failure modes, in order to inform development of the next generation of text-to-image models. Our code to run the GenEval framework is publicly available at this https URL.

The MT-GenEval benchmark evaluates gender translation accuracy on English -> {Arabic, French, German, Hindi, Italian, Portuguese, Russian, Spanish}. The dataset contains individual sentences with annotations on the gendered target words, and contrastive original-invertend translations with additional preceding context.

This is the RL dataset for the paper: "ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL". ReasonGen-R1 is a two-stage framework that imbues an autoregressive image generator with explicit text-based "thinking" skills via supervised fine-tuning (SFT) on a newly generated reasoning dataset of written rationales. It then refines its outputs using Group Relative Policy Optimization (GRPO). This dataset contains the model-crafted rationales paired with visual prompts… See the full description on the dataset page: https://huggingface.co/datasets/Franklin0/ReasonGen-R1-RL-Geneval-12k.

About this dataset

Context

The dataset tabulates the population of Geneva by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Geneva. The dataset can be utilized to understand the population distribution of Geneva by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Geneva. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Geneva.

Key observations

Largest age group (population): Male # 20-24 years (389) | Female # 50-54 years (331). 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

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.

Variables / Data Columns

• Age Group: This column displays the age group for the Geneva population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Geneva is shown in the following column.
• Population (Female): The female population in the Geneva is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Geneva for each age group.

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 Geneva Population by Gender. You can refer the same here

This dataset tracks annual total classroom teachers amount from 1990 to 2023 for Geneva High School

Graph and download economic data for Unemployment Rate in Geneva County, AL (ALGENE1URN) from Jan 1990 to Apr 2025 about Geneva County, AL; Dothan; AL; unemployment; rate; and USA.

About this dataset

Context

The dataset tabulates the Geneva population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Geneva across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Geneva was 5,866, a 0.12% decrease year-by-year from 2022. Previously, in 2022, Geneva population was 5,873, a decline of 0.59% compared to a population of 5,908 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Geneva decreased by 741. In this period, the peak population was 6,607 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Geneva is shown in this column.
• Year on Year Change: This column displays the change in Geneva population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Geneva Population by Year. You can refer the same here

seungheondoh/socialfx-gen-eval dataset hosted on Hugging Face and contributed by the HF Datasets community

Graph and download economic data for Employed Persons in Geneva County, AL (LAUCN010610000000005A) from 1990 to 2024 about Geneva County, AL; Dothan; AL; household survey; employment; persons; and USA.

This dataset tracks annual diversity score from 1993 to 2023 for Geneva High School vs. New York and Geneva City School District

Graph and download economic data for Personal Income in Geneva County, AL (PI01061) from 1969 to 2023 about Geneva County, AL; Dothan; AL; personal income; personal; income; and USA.

This dataset provides information about the number of properties, residents, and average property values for 11th Street cross streets in Geneva, NE.

This dataset tracks annual distribution of students across grade levels in Geneva Elementary School

This dataset provides information about the number of properties, residents, and average property values for Geneva Court cross streets in Montauk, NY.

This dataset tracks annual total students amount from 1987 to 2023 for Geneva High School

This dataset tracks annual total students amount from 1987 to 2023 for Geneva Middle School

About this dataset

Context

The dataset tabulates the population of Geneva by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Geneva across both sexes and to determine which sex constitutes the majority.

Key observations

There is a considerable majority of male population, with 66.67% of total population being male. 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.

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

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Geneva is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Geneva 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 Geneva 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 Geneva Drive cross streets in Rockwell, NC.

About this dataset

Context

The dataset tabulates the population of Geneva-On-The-Lake by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Geneva-On-The-Lake. The dataset can be utilized to understand the population distribution of Geneva-On-The-Lake by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Geneva-On-The-Lake. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Geneva-On-The-Lake.

Key observations

Largest age group (population): Male # 55-59 years (47) | Female # 35-39 years (49). 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

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.

Variables / Data Columns

• Age Group: This column displays the age group for the Geneva-On-The-Lake population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Geneva-On-The-Lake is shown in the following column.
• Population (Female): The female population in the Geneva-On-The-Lake is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Geneva-On-The-Lake for each age group.

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 Geneva-On-The-Lake Population by Gender. You can refer the same here

This dataset tracks annual asian student percentage from 1990 to 2023 for Geneva High School vs. New York and Geneva City School District