Dataset Card for "sentence-compression"

  Dataset Summary

Dataset with pairs of equivalent sentences. The dataset is provided "AS IS" without any warranty, express or implied. Google disclaims all liability for any damages, direct or indirect, resulting from using the dataset. Disclaimer: The team releasing sentence-compression did not upload the dataset to the Hub and did not write a dataset card. These steps were done by the Hugging Face team.

  Supported Tasks… See the full description on the dataset page: https://huggingface.co/datasets/embedding-data/sentence-compression.

Compression

## Overview

Compression is a dataset for instance segmentation tasks - it contains A 15vw annotations for 1,436 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

The global data compression software market is anticipated to expand from USD 2,476.52 Million in 2024 to USD 4,306.13 Million by 2032, reaching USD 2,609.71 Million in 2025, with a CAGR of 7.2% from 2025 to 2032.

Dataset Card for Sentence Compression

This dataset is a collection of text-simplified pairs from the Sentence Compression project. See Sentence Compression for additional information. This dataset can be used directly with Sentence Transformers to train embedding models.

  Dataset Subsets





  pair subset

Columns: "text", "simplified" Column types: str, str Examples:{ 'text': "The USHL completed an expansion draft on Monday as 10 players who were on the rosters of… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/sentence-compression.

Global Data Compression Software market size is expected to reach $1.61 billion by 2029 at 7.6%, segmented as by lossless compression, run-length encoding (rle), huffman coding, lempel-ziv-welch (lzw), arithmetic coding

that is

The global data compression software market is experiencing robust growth, projected to reach a market size of $2566.8 million in 2025. While the provided CAGR is missing, considering the rapid advancements in data generation and storage needs across sectors like IT & Telecommunications, Media & Entertainment, and the increasing demand for efficient data management, a conservative estimate of a 15% CAGR from 2025 to 2033 seems reasonable. This suggests substantial market expansion in the coming years. Key drivers include the exponential growth of data volumes from various sources, the need for faster data transmission speeds, reduced storage costs, and enhanced data security. Trends like cloud computing, the Internet of Things (IoT), and big data analytics further fuel this market expansion, necessitating efficient data compression techniques. However, constraints such as the complexity of implementing compression algorithms and potential compatibility issues across different systems present challenges. Market segmentation reveals significant opportunities in lossless and lossy compression technologies across diverse applications. The strong presence of established players like Google Corporation and Facebook, alongside specialized software vendors, indicates a competitive yet dynamic market landscape. The North American market currently holds a significant share, driven by technological advancements and high adoption rates, but rapid growth is anticipated in the Asia Pacific region due to increasing digitalization. The market’s future trajectory is shaped by several factors. The continued adoption of cloud-based solutions and the increasing reliance on edge computing will create a greater need for efficient data compression. Furthermore, advancements in AI and machine learning are leading to the development of more sophisticated compression algorithms, optimizing performance and minimizing data loss. The emergence of new applications, particularly in sectors like genomics and advanced manufacturing, will further fuel market growth. Companies are focusing on developing innovative solutions that address the unique challenges of various industries, emphasizing interoperability and scalability. This focus on adaptability and advanced features will define the competitive landscape and drive future market expansion.

This dataset contains sentences and short paragraphs with corresponding shorter (compressed) versions. There are up to five compressions for each input text, together with quality judgements of their meaning preservation and grammaticality. The dataset is derived using source texts from the Open American National Corpus (ww.anc.org) and crowd-sourcing.

The global file compression software market is experiencing robust growth, driven by the increasing need for efficient data storage and transmission across diverse platforms, including PCs, tablets, and mobile phones. The market's expansion is fueled by the ever-growing volume of digital data generated by individuals and businesses alike. The rising adoption of cloud storage solutions further accelerates this trend, as compressed files significantly reduce storage costs and bandwidth consumption. The prevalence of high-definition video and large image files necessitates efficient compression techniques, contributing to market demand. Different operating systems (Windows, macOS, Android) each present specific market segments with varying software preferences and feature requirements, leading to a diverse competitive landscape. While established players like Corel and WinRAR maintain significant market share, open-source alternatives like 7-Zip continue to gain popularity due to their cost-effectiveness and feature-rich capabilities. The market is also witnessing the emergence of specialized compression software tailored to specific file types and industry needs. Geographic expansion is another key driver, with regions like Asia Pacific showing significant growth potential due to increasing internet penetration and digitalization. However, market restraints include the availability of free alternatives and the potential for security concerns related to compressed files. This necessitates the development of secure and efficient compression technologies to mitigate these risks. Looking forward, the market is poised for continued expansion, driven by advancements in compression algorithms, the proliferation of mobile devices, and the increasing demand for seamless data transfer across various platforms. The incorporation of AI and machine learning in compression techniques promises further efficiency gains. The focus will likely shift towards enhanced security features, user-friendly interfaces, and cloud integration capabilities. Competition will intensify as existing players innovate and new entrants seek to establish themselves in this dynamic market. Regional variations in market growth will persist, influenced by factors such as internet infrastructure, digital literacy, and economic development. A continued emphasis on cross-platform compatibility and efficient algorithms will be crucial for success in this evolving market landscape.

File Compression Tools Market Outlook

The global file compression tools market size is projected to reach USD XX billion by 2032 from USD XX billion in 2023, growing at a CAGR of XX% during the forecast period. The steady growth in the market size is driven by the increasing digitization across various industries, which necessitates efficient data management solutions like file compression tools.

The growing volume of digital data generated daily is one of the primary growth factors for the file compression tools market. As businesses and individuals increasingly rely on digital platforms for communication and data storage, the need for efficient file compression tools becomes paramount. These tools help in saving storage space and reducing the time and bandwidth required for data transfer, thus enhancing overall productivity. Furthermore, the rise of cloud computing and the need for seamless data transfer between cloud and on-premises environments further boost the demand for advanced file compression solutions.

Another significant growth driver is the increasing adoption of high-definition content. With the proliferation of 4K and 8K videos, high-resolution images, and other large digital files, there is a growing need for robust file compression tools that can handle large file sizes without significant loss of quality. This trend is particularly prominent in the media and entertainment industry, which requires efficient compression tools to manage and distribute high-quality content swiftly. Additionally, the rising use of big data analytics across various sectors also contributes to the increased demand for file compression tools, as they help in efficiently managing and processing large datasets.

Technological advancements in compression algorithms are also propelling the growth of the file compression tools market. Modern compression techniques offer superior compression ratios and faster processing speeds, making them more efficient and reliable. The integration of artificial intelligence and machine learning algorithms in compression tools further enhances their performance, enabling more intelligent and adaptive compression strategies. This continuous innovation ensures that file compression tools remain relevant and capable of meeting the evolving needs of users.

In the context of file compression tools, the role of a Compression Driver is increasingly becoming pivotal. A Compression Driver is essentially a software component or a set of algorithms that manage the compression and decompression processes, ensuring optimal performance and efficiency. These drivers are crucial for maintaining the balance between compression speed and the quality of the compressed files. As data volumes continue to grow, the demand for more sophisticated Compression Drivers that can handle large datasets without compromising on speed or quality is on the rise. This is particularly important for industries that require real-time data processing and transmission, such as telecommunications and finance.

Regionally, North America dominates the file compression tools market, driven by the presence of major technology companies and high adoption rates of advanced digital solutions. The Asia Pacific region, however, is expected to witness the highest growth rate during the forecast period. The rapid digitization of economies, increasing internet penetration, and the proliferation of smartphones and other digital devices in countries like China and India are significant contributing factors. Europe also represents a substantial market, with a strong focus on data protection and efficient data management solutions.

Type Analysis

The file compression tools market is segmented into lossless compression and lossy compression. Lossless compression algorithms enable the complete restoration of the original file without any loss of data. This type of compression is particularly crucial for industries where data integrity is paramount, such as healthcare and BFSI. Lossless compression tools are widely used for compressing text files, databases, and other critical data that must remain unaltered. The increasing emphasis on data security and integrity is driving the demand for lossless compression solutions in these sectors.

In contrast, lossy compression algorithms achieve higher compression ratios by discarding some amount of data, which is generally imperceptible to human senses. This type of compression is ideal for media files su

The global data compression software market is projected to reach a value of 1905 million in 2033, growing at a CAGR of 4.9% from 2025 to 2033. The market growth is driven by the increasing need for data storage and management due to the proliferation of data-intensive applications, such as video streaming, social media, and cloud computing. The growing adoption of artificial intelligence (AI) and machine learning (ML) technologies is also contributing to market growth, as these technologies require large amounts of data for training and operation. The market is segmented by application (IT & telecommunication, media & entertainment, support and maintenance service), type (lossless compression, lossy compression), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). The IT & telecommunication segment is expected to hold the largest market share during the forecast period, due to the increasing deployment of data compression technologies by telecom operators and internet service providers (ISPs) to optimize network bandwidth utilization and improve the quality of service. The media and entertainment segment is also expected to witness significant growth, as media companies adopt data compression technologies to reduce the size of video and audio files for distribution over the internet and mobile networks.

Data Compression Software Market Outlook

In 2023, the global data compression software market size was valued at approximately USD 1.5 billion, and it is projected to reach around USD 3.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.5% during the forecast period. The market growth is driven by the increasing need for efficient data management and storage solutions as data volumes continue to surge globally. This growth in market size is a reflection of the expanding demand across various sectors that rely heavily on data for their operations.

One of the significant growth factors for this market is the exponential increase in data generation. As businesses and individuals produce more data than ever before, the need for effective data compression solutions becomes paramount. This is particularly true in sectors like IT and telecommunications, where data transmission costs can be significantly reduced through compression. Additionally, the rising adoption of cloud services has further amplified the demand for data compression software, as organizations look to optimize their storage and bandwidth usage.

Another critical driver is the advancement in data compression technologies. Innovations in algorithms and the development of more sophisticated compression techniques have made it possible to achieve higher compression ratios without compromising data integrity. This technological progress is enabling businesses to manage large volumes of data more efficiently, thereby reducing storage costs and improving data transfer speeds. Furthermore, the integration of artificial intelligence and machine learning into compression algorithms is expected to enhance the performance and efficacy of data compression solutions.

The growing emphasis on data security and privacy also bolsters the demand for data compression software. Compressed data is often less susceptible to breaches and unauthorized access, providing an additional layer of security. With increasing regulatory requirements and the heightened awareness of data privacy among consumers and businesses, data compression solutions are becoming a critical component of data protection strategies. This trend is particularly evident in sectors like BFSI and healthcare, where data sensitivity is paramount.

In the realm of data management, Data Deduplication Tools are becoming increasingly vital. These tools help in eliminating redundant copies of data, which not only optimizes storage usage but also enhances data retrieval efficiency. As organizations continue to generate vast amounts of data, the ability to deduplicate data effectively can lead to significant cost savings and improved data management strategies. By removing duplicate data, businesses can ensure that their storage systems are utilized more efficiently, which is crucial in today's data-driven environment. Moreover, data deduplication is particularly beneficial in backup and disaster recovery scenarios, where storage space is at a premium and quick data recovery is essential. The integration of data deduplication with data compression software further amplifies its benefits, providing a comprehensive solution for efficient data management.

Regionally, North America is expected to dominate the data compression software market, owing to its advanced IT infrastructure and the presence of major technology companies. However, other regions such as Asia Pacific are projected to exhibit significant growth rates due to the rapid digital transformation and increasing investments in IT infrastructure. The market dynamics across different regions highlight diverse growth opportunities and challenges, influenced by factors such as economic conditions, technological adoption rates, and regulatory environments.

Component Analysis

The data compression software market can be segmented by components into software and services. The software segment, which includes standalone data compression tools and integrated software solutions, forms the backbone of this market. This segment is driven by the constant need for efficient data storage and transmission solutions across various industries. Businesses are increasingly adopting sophisticated software that can compress large data volumes without losing critical information, thereby optimizing their storage and bandwidth usage. Advancements in software development, including the integration of AI and machine learning, are further enhancing the capabilities of data compression tools

and rigid architectural components limiting adaptability to diverse content characteristics. This paper introduces a novel neural compression framework that integrates principles from Kolmogorov-Arnold Networks (KANs) with dynamic quantization mechanisms.

Extracellular electrophysiology data is growing at a remarkable pace. This data, collected neuropixels probes by the Allen Institute and the International Brain Lab can be used to benchmark throughput rates and storage ratios of various data compression algorithms.

The global file compression tools market is experiencing robust growth, driven by the increasing need for efficient data management and storage across various platforms. The proliferation of large files, particularly in media and data analytics, necessitates effective compression techniques to reduce storage costs and improve transmission speeds. The market is segmented by application (PC and mobile devices) and type (Windows, macOS, Android, and others), reflecting the diverse operating systems and devices used for data management. Leading players like Corel, WinRAR, 7-Zip, PKWARE, PeaZip, Qihoo 360, and Shanghai 2345 Mobile Technology compete in this space, offering various features and pricing models. Growth is further fueled by increasing cloud storage adoption, demanding efficient data transfer and storage optimization. The market's historical period (2019-2024) showed consistent expansion, and a projected CAGR (let's assume a conservative 8% based on industry trends) for the forecast period (2025-2033) suggests continued market expansion. Regional variations exist, with North America and Europe currently holding significant market share, but rapidly growing economies in Asia-Pacific present substantial future potential. The market faces challenges such as the increasing sophistication of compression algorithms, necessitating constant innovation to maintain competitive edge. Security concerns surrounding data compression and potential vulnerabilities also represent significant restraints. However, advancements in artificial intelligence and machine learning are likely to drive innovation in compression techniques, leading to higher compression ratios and improved performance. The focus on cross-platform compatibility and integration with cloud services will be pivotal for market success. The continuous evolution of data formats and the growth of big data analytics will further contribute to the demand for robust and efficient file compression tools in the coming years. The market is expected to see continued consolidation, with larger players acquiring smaller companies to broaden their product portfolios and expand market reach.

The global compression product market size is projected to surpass a valuation of US$ 6,492 million by 2034. As per the analysis, the compression product market is likely to exhibit a CAGR of 5.8% through 2034, with a current valuation of US$ 3.673.4 million in 2024.

Attributes	Details
Compression Product Market Valuation, 2023	US$ 3,477.9 million
Compression Product Market Size in 2024	US$ 3,673.4 million
Compression Product Market Forecast Size by 2034	US$ 6,492 million
Projected CAGR (2024 to 2034)	5.8%
Market Share of Top 5 Countries	53.9%

Historical Performance of the Compression Product Market (2019 to 2023) Vs Future Outlook (2024 to 2034)

Attributes	Details
Compression Product Market Size (2019)	US$ 2,847.1 million
Compression Product Market Size (2023)	US$ 3,477.9 million
Compression Product Market CAGR (2019 to 2023)	4.8%

Country Wise Insights

Countries	Value CAGR (2024 to 2034)
United States	6.0%
China	5.2%
Canada	5.0%
India	6.2%
Germany	5.0%

Category Wise Insights

Segment	Compression Garments (Product Type)
Value Share (2024)	36.2%

Segment	Pharmacies (Distribution Channel)
Value Share (2024)	35.9%

Report Scope as per Compression Product Industry Analysis

Attribute	Details
Forecast Period	2024 to 2034
Historical Data Available for	2019 to 2023
Market Analysis	US$ Million for Value
Key Regions Covered	North America, Latin America, Europe, East Asia, South Asia, Oceania, and Middle East & Africa (MEA).
Key Countries Covered	United States, Canada, Brazil, Mexico, Argentina, Rest of Latin America, United Kingdom, Germany, Italy, Russia, Spain, France, BENELUX, Rest of Europe, Japan, China, South Korea, India, Thailand, Indonesia, Malaysia, Australia, New Zealand, Turkey, GCC, South Africa, North Africa and Rest of MEA.
Key Market Segments Covered	Product, application, distribution channel, and region
Key Companies Profiled	Proxima Healthcare 3M Bauerfeind Macom Enterprises Leonisa LIPOELASTIC Cosmac Healthcare Lohmann and Rauscher Wear Ease Peninsula BioMedical LympheDIVAs Juzo Medico International The Marena Group Smith & Nephew plc Spectrum Healthcare Bio Compression Systems Inc Gottfried Medical Inc. Cardinal Health
Pricing	Available upon Request

The global compression garments and stockings market is projected to expand from USD 3.2 billion in 2025 to approximately USD 5 billion by 2035, registering a CAGR of 4.4% during the forecast period.

Attributes	Key Insights
Estimated Size, 2025	USD 3.2 billion
Projected Size, 2035	USD 5 billion
Value-based CAGR (2025 to 2035)	4.4%

Semi Annual Market Update

Particular	Value CAGR
H1	5.7% (2024 to 2034)
H2	5.1% (2024 to 2034)
H1	4.4% (2025 to 2035)
H2	3.9% (2025 to 2035)

Country-wise Insights

Countries	Value CAGR (2025 to 2035)
USA	1.4%
Germany	1.5%
France	2.2%
UK	1.6%
China	4.4%
India	5.0%
South Korea	3.5%

Image Compression Software Market Outlook

The global image compression software market size was valued at USD 1.2 billion in 2023 and is expected to reach USD 3.7 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 13.2% during the forecast period. This remarkable growth can be attributed to the increasing demand for efficient storage solutions, rising internet usage, and the proliferation of high-resolution images across various sectors.

The growth of the image compression software market is being significantly driven by the exponential rise in digital content creation and consumption. With the advent of high-resolution cameras and the growing popularity of social media platforms, the volume of digital images being uploaded and shared has surged dramatically. This has led to an increased need for effective image compression solutions to manage storage space and optimize file transfer speeds without compromising image quality. Furthermore, the rise in e-commerce activities has necessitated the use of high-quality yet compressed images to enhance user experience while ensuring quick website load times, further propelling market growth.

Another crucial factor contributing to the market's expansion is the technological advancements in image compression algorithms. Innovations in artificial intelligence and machine learning have paved the way for more sophisticated and efficient compression techniques. These technologies enable the development of software that can intelligently compress images by identifying and preserving important visual details while reducing file size. As a result, businesses across various industries, such as healthcare, media and entertainment, and IT and telecommunications, are increasingly adopting these advanced solutions to optimize their operations and improve service delivery, thereby boosting market growth.

Moreover, the growing emphasis on data privacy and security is also playing a pivotal role in the market's growth. As organizations handle vast amounts of sensitive and personal data, the need for secure image compression solutions has become paramount. Advanced compression software not only helps in reducing the storage footprint but also ensures that the data remains secure during transmission. This has led to a surge in demand for reliable and secure image compression solutions, particularly in sectors such as BFSI and healthcare, where data confidentiality is of utmost importance.

In terms of regional outlook, North America is expected to dominate the image compression software market throughout the forecast period. This can be attributed to the presence of major technology giants, high adoption rates of advanced technologies, and significant investments in research and development. Meanwhile, the Asia Pacific region is anticipated to witness the highest growth rate, driven by the rapid digitalization, increasing internet penetration, and the burgeoning e-commerce industry in countries like China and India.

Component Analysis

The image compression software market can be segmented by component into software and services. The software segment is expected to hold the largest market share during the forecast period. This is primarily due to the widespread adoption of image compression software across various industries for efficient storage and transmission of digital images. The software solutions offer advanced features such as batch processing, high compression ratios, and integration capabilities with other applications, making them highly desirable for businesses looking to optimize their digital content management processes.

On the other hand, the services segment, which includes consulting, implementation, and maintenance services, is projected to experience significant growth. As organizations increasingly adopt image compression software, the demand for specialized services to ensure seamless integration and operation of these solutions is rising. Service providers offer expertise in customizing and implementing the software according to specific business needs, as well as providing ongoing support and maintenance to ensure optimal performance. This growing reliance on professional services to enhance the efficacy of image compression solutions is expected to drive the expansion of the services segment.

Additionally, the convergence of cloud computing and image compression technologies is further augmenting the growth of the services segment. Cloud-based image compression services provide scalable, cost-effective, and easily accessible solutions for businesse

Loss-less data compression becomes the need of the hour for effective data compression and computation in VLSI test vector generation and testing in addition to hardware AI/ML computations. Golomb code is one of the effective technique for lossless data compression and it becomes valid only when the divisor can be expressed as power of two. This work aims to increase compression ratio by further encoding the unary part of the Golomb Rice (GR) code so as to decrease the amount of bits used, it mainly focuses on optimizing the hardware for encoding side. The algorithm was developed and coded in Verilog and simulated using Modelsim. This code was then synthesised in Cadence Encounter RTL Synthesiser. The modifications carried out show around 6% to 19% reduction in bits used for a linearly distributed data set. Worst-case delays have been reduced by 3% to 8%. Area reduction varies from 22% to 36% for different methods. Simulation for Power consumption shows nearly 7% reduction in switching power. This ideally suggest the usage of Golomb Rice coding technique for test vector compression and data computation for multiple data types, which should ideally have a geometrical distribution.

The global Data Compression Software market is experiencing robust growth, projected to reach a market size of $1862.4 million in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 4.7% from 2019 to 2033. This expansion is fueled by several key drivers. The burgeoning need for efficient data storage and management across diverse sectors like IT & Telecommunications, Media & Entertainment, and Support & Maintenance Services is a significant catalyst. The increasing volume of data generated daily, coupled with the rising demand for faster data transmission speeds, necessitates sophisticated data compression techniques. Further driving market growth is the prevalence of cloud computing and big data analytics, where efficient data compression is crucial for optimized performance and cost savings. The market is segmented by compression type, with both lossless and lossy compression techniques finding widespread application, each catering to specific needs in terms of data integrity and storage space optimization. Growth is further influenced by advancements in compression algorithms and hardware capabilities, leading to improved compression ratios and faster processing speeds. The market's regional distribution reflects varying levels of technological adoption and data generation patterns. North America and Europe are currently leading the market due to high technological maturity and established IT infrastructure. However, the Asia-Pacific region, driven by rapid digitalization and increasing data usage in countries like China and India, is poised for significant growth in the coming years. While challenges such as data security concerns and the complexity of implementing data compression solutions may pose some restraints, the overall market outlook remains positive, indicating considerable expansion opportunities for software developers and vendors in the data compression domain. The continued evolution of data-intensive applications and the expanding digital ecosystem will be key drivers sustaining this growth trajectory throughout the forecast period.