Dataset Card for FEMNIST

The FEMNIST dataset is a part of the LEAF benchmark. It represents image classification of handwritten digits, lower and uppercase letters, giving 62 unique labels.

  Dataset Details





  Dataset Description

Each sample is comprised of a (28x28) grayscale image, writer_id, hsf_id, and character.

Curated by: LEAF License: BSD 2-Clause License

  Dataset Sources

The FEMNIST is a preprocessed (in a way that resembles preprocessing for… See the full description on the dataset page: https://huggingface.co/datasets/flwrlabs/femnist.

Mobile crowdsensing has gained significant attention in recent years and has become a critical paradigm for emerging Internet of Things applications. The sensing devices continuously generate a significant quantity of data, which provide tremendous opportunities to develop innovative intelligent applications.

J-C-03/femnist dataset hosted on Hugging Face and contributed by the HF Datasets community

The dataset used in the paper is CIFAR-10, FEMNIST, and IMDB. The authors used these datasets to evaluate the performance of the EmbracingFL framework.

coscotuff/femnist-split dataset hosted on Hugging Face and contributed by the HF Datasets community

MNIST, CIFAR10, and FEMNIST datasets are used to evaluate the effect of accuracy in various datasets.

The preprocessed datasets used in our experiments are provided in the data folder. For the image or character classification task, we use 5 classical datasets: Cifar-10, Fashion-MNIST, PACS, FEMNIST, and Shakespeare. We consider the mixed-finance and code+finance scenarios for instruction-tuning tasks, involving 3 financial datasets (TFNS, FIQA, NWGI) and a code dataset (CodeAlpaca). CIFAR-10 and Fashion-MNIST are widely used benchmarks in literature for image classification tasks containing 10 categories. PACS has four domains (photo, art painting, cartoon, and sketch) and contains seven categories. FEMNIST for image classification and Shakespeare for the next character prediction are from the naturally heterogeneous synthetic dataset Leaf. Three finance datasets include: FiQA comprised of 17k sentences sourced from microblog headlines and financial news, The Twitter Financial News Sentiment (TFNS) with 11,932 annotated documents of finance-related tweets, and the News With GPT Instruction (NWGI)featuring labels generated by ChatGPT. The code dataset CodeAlpaca contains 20K instruction-following data. Note that all raw data resources can be found in the "Data availability" section in our paper.

The statistics presents the results of a survey conducted across 27 countries in from 2017 to January 2019 on people's identification with feminism. In Mexico, 37 percent of respondents in 2019 strongly or somewhat defined themselves as a feminist.

This dataset is about books. It has 3 rows and is filtered where the book subjects is Feminist literacy criticism. It features 9 columns including author, publication date, language, and book publisher.

The three surveys were completed in September to November 2019, February 2021, and January 2023 in the US, UK, France, and Canada. The total sample size is 18,362.

Replication dataset. Visit https://dataone.org/datasets/sha256%3Ad9b2c98e0da972366b5d4109a21f50cd150a746641af75946d934332a24cd7de for complete metadata about this dataset.

Open science data and code for "Feminist Identity and Sexual Behavior: The Intimate is Political," published in Archives of Sexual Behavior

This dataset is about book subjects. It has 2 rows and is filtered where the books is Feminist perspectives on contemporary educational leadership. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This dataset is about books. It has 1 row and is filtered where the book is Feminist theory and literary practice. It features 7 columns including author, publication date, language, and book publisher.

This index monitors the value of works by women artists addressing gender issues including Judy Chicago, Miriam Schapiro, Faith Ringgold, and Kara Walker challenging patriarchal art establishment and exploring female experience. Tracks appreciation for political art content, gender-focused collecting, and institutional diversity efforts. Key indicator for contemporary political art market, diversity collecting trends, and museum acquisition priorities representing gender equality advancement and female artistic voice emergence.

This dataset is about book subjects. It has 10 rows and is filtered where the books is Feminist activism and digital networks : between empowerment and vulnerability. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

How do Poles understand the concepts of feminism and feminist and how do they use these terms? Reconnaissance.

This statistic presents the results of a survey on defining oneself as a feminist, in Italy in 2019. According to data, published by Ipsos, ** percent of respondents stated that they did not consider themselves as feminist.

In 2024, 39 percent of male respondents in Brazil strongly or somewhat defined themselves as feminists. Among the female respondents, this figure rose to 44 percent.

Financial overview and grant giving statistics of Feminist Majority Foundation