Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Please cite this dataset as Ferrari, A., Spagnolo, G. O., & Gnesi, S. (2017, September). PURE: A dataset of public requirements documents. In 2017 IEEE 25th International Requirements Engineering Conference (RE) (pp. 502-505). IEEE.
https://ieeexplore.ieee.org/abstract/document/8049173
This dataset presents PURE (PUblic REquirements dataset), a dataset of 79 publicly available natural language requirements documents collected from the Web. The dataset includes 34,268 sentences and can be used for natural language processing tasks that are typical in requirements engineering, such as model synthesis, abstraction identification and document structure assessment. It can be further annotated to work as a benchmark for other tasks, such as ambiguity detection, requirements categorisation and identification of equivalent re-quirements. In the associated paper, we present the dataset and we compare its language with generic English texts, showing the peculiarities of the requirements jargon, made of a restricted vocabulary of domain-specific acronyms and words, and long sentences. We also present the common XML format to which we have manually ported a subset of the documents, with the goal of facilitating replication of NLP experiments. The XML documents are also available for download.
The paper associated to the dataset can be found here:
https://ieeexplore.ieee.org/document/8049173/
More info about the dataset is available here:
http://nlreqdataset.isti.cnr.it
Preprint of the paper available at ResearchGate:
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Pure is a dataset for object detection tasks - it contains Bottle U1u6 LoV1 8jdM annotations for 382 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.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This is the Official Pure-Dove dataset. Over 3K multi-turn examples, and many more coming soon!
This dataset aims to be the largest highest quality cluster of real human back and forth conversations with GPT-4. Steps have even been done to ensure that only the best GPT-4 conversations in comparisons are kept, there are many instances where two GPT-4 responses are rated as equal to eachother or as both bad. We exclude all such responses from Pure Dove and make sure to only include… See the full description on the dataset page: https://huggingface.co/datasets/LDJnr/Pure-Dove.
India was the leading market for the dating app Pure based on downloads in 2024. In total, Indian users downloaded the app over *** million times. The second-highest number of downloads was recorded in Russia, at over *******. Pure usage in selected markets In 2024, Pure became the leading dating app by in-app revenue in Russia, having earned around **** million U.S. dollars. In the United Kingdom (UK), the app's sixth-largest market by downloads, Pure counted ****** daily active users in May 2023. How is Pure different from other dating platforms? In comparison to other popular dating apps, Pure offers anonymous profiles, encourages users to openly express their sexual preferences, and requires writing an ad that would be shared with others. Released in 2013, the app was released in 2013 and is developed by a Ukrainian-founded company Misterico Limited based in Cyprus.
RAR-b/TempReason-l2-pure dataset hosted on Hugging Face and contributed by the HF Datasets community
Pure Play Software Testing Services Market Size and Trends
The pure play software testing services market size is forecast to increase by USD 13.51 billion at a CAGR of 14.8% between 2023 and 2028. The market is witnessing significant growth due to several key trends and challenges. One of the primary drivers is the increasing demand for expert testing partners to ensure application quality and stability in the face of continuous operations and shorter time-to-market. Additionally, the proliferation of big data and IoT-enabled technology is leading to an increased need for specialized testing partners to ensure application downtime is minimized and testing productivity is maximized. Furthermore, the rise in cybersecurity concerns necessitates the adoption of advanced testing methodologies to mitigate risks and ensure data security. Strategic testing partnerships throughout the software development lifecycle are becoming essential for cost savings and maintaining a competitive edge in the market.
Market Overview
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In today's fast-paced digital world, software systems play a pivotal role in powering businesses and delivering exceptional user experiences. Evaluating software products for quality and stability is a critical aspect of the software development lifecycle (SDLC). A pure-play software testing services provider brings impartial focus, competence, and unique insights to the table, ensuring that software meet customer expectations and deliver continuous operations. The Importance of Software Testing: Software testing is an essential process that helps identify defects, vulnerabilities, and performance issues in software systems. It plays a crucial role in enhancing software quality and ensuring customer satisfaction. User expectations are high, and application downtime can lead to significant financial and reputational damage. A pure-play software testing partner brings specialized expertise and concentrated knowledge to the table, enabling organizations to address these challenges effectively. Pure-play software testing services providers employ various testing techniques and tools to ensure software quality. These techniques include functional testing, regression testing, performance testing, security testing, and usability testing.
Furthermore, the use of advanced testing tools and processes helps streamline testing productivity, reduce time-to-market, and minimize cost savings. Forming strategic testing partnerships with a pure-play software testing services provider offers numerous benefits. These partners bring a global vision and impartial focus to the table, enabling organizations to maintain a strategic advantage in the market. They help ensure that software systems are of the highest quality and stability, allowing businesses to meet their strategic objectives. A pure-play software testing services provider helps ensure continuous operations by identifying and addressing potential issues before they impact users. This proactive approach to testing helps improve customer satisfaction and reduces the risk of application downtime. It also enables organizations to deliver software updates and new features more quickly, keeping up with the ever-evolving market demands. In conclusion, pure-play software testing services are an essential component of the software development lifecycle. They help organizations ensure software quality, meet customer expectations, and maintain a strategic advantage in the market. By partnering with a pure-play software testing expert, businesses can benefit from concentrated knowledge, unique insights, and advanced testing techniques and tools, ultimately leading to improved software quality, increased testing productivity, and reduced cost savings. IT services organizations that prioritize software testing as a strategic initiative can reap significant rewards in terms of customer satisfaction, continuous operations, and market competitiveness.
Market Segmentation
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018 - 2022 for the following segments.
End-user
BFSI
IT
Telecom
Retail
Others
Geography
North America
US
Europe
Germany
UK
APAC
China
India
South America
Middle East and Africa
By End-user Insights
The BFSI segment is estimated to witness significant growth during the forecast period. In the Banking, Financial Services, and Insurance (BFSI) sector, the shift towards digital marketing through mobile channels is gaining momentum. This trend is expected to persist in the coming years, driven by the increasing use of smartphones and smart devices for financial transactions.
Get a glance at the market share of various segment Download the PD
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Pure Storage, Inc. provides data storage technologies, products, and services in the United States and internationally. The company's Purity software is shared across its products and provides enterprise-class data services, such as data reduction, data protection, and encryption, as well as storage protocols, including block, file, and object. Its products portfolio includes FlashArray for block-oriented storage, addressing databases, applications, virtual machines, and other traditional workloads; FlashArray//XL; and FlashArray//C, an all-QLC flash array. The company also provides FlashBlade, a solution for unstructured data workloads of various types; FlashStack that combines compute, network, and storage to provide an infrastructure platform; FlashRecover, an all-flash modern data-protection solution; and AIRI, a full-stack AI-ready infrastructure. In addition, it offers evergreen storage subscription, Pure as-a-Service, and Cloud Block Store, as well as Portworx a cloud-native Kubernetes data management solution It also offers technical and professional, training and education, and certification services. The company sells its products and subscription services through direct sales force and channel partners. The company was formerly known as OS76, Inc. and changed its name to Pure Storage, Inc. in January 2010. Pure Storage, Inc. was incorporated in 2009 and is headquartered in Mountain View, California.
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
Pure Storage earnings per share (EPS) for the twelve months ending April 30, 2025 was $0.38, a 26.67% increase year-over-year. Pure Storage EPS for the quarter ending April 30, 2025 was $-0.04, a 63.64% decline year-over-year. Pure Storage 2025 annual EPS was $0.31, a 63.16% increase from 2024. Pure Storage 2024 annual EPS was $0.19, a 17.39% decline from 2023. Pure Storage 2023 annual EPS was $0.23, a 146% decline from 2022. Earnings per share can be defined as a company's net earnings or losses attributable to common shareholders per diluted share base, which includes all convertible securities and debt, options and warrants.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This report describes the findings from evaluating the Birmingham PURE project. A ÂŁ20 million project funded by the European Social Fund(ESF) and delivered between 2019 and 2023 to help address the fundamental drivers of health such as employment, education, and/or training, which are critical in the joint systems effort to reduce health inequalities and improve health outcomes for residents. Viewing and downloadingThis dataset contains unstructured files such as documents, PDF's and images. To view and download the files click on the Table tab at the top and select the desired file in the File name column. You may use the filters to further refine your selection.
ℹ️
Note
The Export and API will only download the table of contents.
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.
RAR-b/TempReason-l3-pure dataset hosted on Hugging Face and contributed by the HF Datasets community
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Pure Storage current price/book ratio as of June 24, 2025 is 13.99. Pure Storage average price/book ratio for 2024 was 11.78, a 23.74% increase from 2023. Pure Storage average price/book ratio for 2023 was 9.52, a 14.39% increase from 2022. Pure Storage average price/book ratio for 2022 was 11.12, a 25.93% decline from 2021. Price/book ratio can be defined as
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
The latest closing stock price for Pure Cycle as of June 23, 2025 is 10.30. An investor who bought $1,000 worth of Pure Cycle stock at the IPO in 1988 would have $3,120 today, roughly 3 times their original investment - a 3.90% compound annual growth rate over 37 years. The all-time high Pure Cycle stock closing price was 16.44 on April 16, 2021. The Pure Cycle 52-week high stock price is 14.63, which is 42% above the current share price. The Pure Cycle 52-week low stock price is 8.98, which is 12.8% below the current share price. The average Pure Cycle stock price for the last 52 weeks is 11.03. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.
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Pure-Play MEMS Foundry Market size was valued at USD 3,791. 27 Million in 2023 and is projected to reach USD 6,746.84 Million by 2031, growing at a CAGR of 7.48% from 2024 to 2031.
Global Pure-Play MEMS Foundry Market Overview
The global Pure-Play MEMS Foundry Market is being driven by several important factors, including the rising demand for MEMS across several industries. One primary growth driver is the growing usage of MEMS in wearables, smartphones, and Internet of Things devices for sensors like pressure, gyroscopes, accelerometers, and microphones. MEMS technology reduces size and power consumption while improving gadget functionality.
Additionally, MEMS is a key component of the automobile industry's safety and performance features, including advanced driver assistance systems (ADAS), tire pressure monitoring, airbag deployment systems, and in-car infotainment. The requirement for accurate, dependable, and small sensing systems has led to the widespread usage of MEMS in robotics, industrial automation, and environmental monitoring. Furthermore, the movement toward Industry 4.0 and intelligent manufacturing further increases this demand.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Pure Storage EBIT for the quarter ending April 30, 2025 was $-0.031B, a 25.38% decline year-over-year. Pure Storage 2025 EBIT was 0.085B, a 59.21% increase from 2024. Pure Storage 2024 EBIT was 0.054B, a 35.88% decline from 2023. Pure Storage 2023 EBIT was 0.084B, a 184.87% decline from 2022. EBIT can be defined as earnings before interest and taxes.
Thinhnb29/PURE dataset hosted on Hugging Face and contributed by the HF Datasets community
Code to accompany paper used to generate Chebyshev expansions of the phase equilibria for pure fluids from multiparameter EOS
The ThermoData Engine fully implements all major principles of the concept of dynamic data evaluation formulated at NIST?s Thermodynamics Research Center (TRC). Dynamic data evaluation relies on large electronic databases to store the currently known experimental data along with detailed descriptions of relevant metadata and uncertainties. Combining this data with expert software allows the ThermoData Engine to producing data compilations 'to order' which include all major thermophysical properties (such as density, vapor pressure, heat capacity, enthalpies of phase transitions, critical properties, melting and boiling points, etc). As the name of this resource implies, its scope is only pure compounds. For binary mixtures please see NIST ThermoData Engine - Pure Compounds and Binary Mixtures - SRD 103b (https://www.nist.gov/srd/nist-standard-reference-database-103b).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Please cite this dataset as Ferrari, A., Spagnolo, G. O., & Gnesi, S. (2017, September). PURE: A dataset of public requirements documents. In 2017 IEEE 25th International Requirements Engineering Conference (RE) (pp. 502-505). IEEE.
https://ieeexplore.ieee.org/abstract/document/8049173
This dataset presents PURE (PUblic REquirements dataset), a dataset of 79 publicly available natural language requirements documents collected from the Web. The dataset includes 34,268 sentences and can be used for natural language processing tasks that are typical in requirements engineering, such as model synthesis, abstraction identification and document structure assessment. It can be further annotated to work as a benchmark for other tasks, such as ambiguity detection, requirements categorisation and identification of equivalent re-quirements. In the associated paper, we present the dataset and we compare its language with generic English texts, showing the peculiarities of the requirements jargon, made of a restricted vocabulary of domain-specific acronyms and words, and long sentences. We also present the common XML format to which we have manually ported a subset of the documents, with the goal of facilitating replication of NLP experiments. The XML documents are also available for download.
The paper associated to the dataset can be found here:
https://ieeexplore.ieee.org/document/8049173/
More info about the dataset is available here:
http://nlreqdataset.isti.cnr.it
Preprint of the paper available at ResearchGate: