Price quote data (for locally collected data only) and consumption segment indices that underpin consumer price inflation statistics, giving users access to the detailed data that are used in the construction of the UK’s inflation figures. The data are being made available for research purposes only and are not an accredited official statistic. From October 2024, private school fees and part-time education classes have been included in the consumption segment indices file. For more information on the introduction of consumption segments, please see the Consumer Prices Indices Technical Manual, 2019. Note that this dataset was previously called the consumer price inflation item indices and price quotes dataset.

Dataset Card for English quotes

  I-Dataset Summary

english_quotes is a dataset of all the quotes retrieved from goodreads quotes. This dataset can be used for multi-label text classification and text generation. The content of each quote is in English and concerns the domain of datasets for NLP and beyond.

  II-Supported Tasks and Leaderboards

Multi-label text classification : The dataset can be used to train a model for text-classification, which… See the full description on the dataset page: https://huggingface.co/datasets/Abirate/english_quotes.

CoinAPI's Level 1 Crypto Quote Data delivers essential crypto market data, capturing real-time best bid/ask prices and sizes across 350+ exchanges. This data stream offers a precise market snapshot with microseconds-accurate timestamps, ideal for applications requiring rapid price discovery and market monitoring.

Designed for minimal latency and high update frequency, this feed powers everything from trading algorithms and price widgets to market analysis tools. Access data through WebSocket for real-time streaming or REST API for historical analysis.

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Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Market indexes (VWAP, PRIMKT) - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume - Full Cryptocurrency Investor Data

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CoinAPI serves hundreds of institutions worldwide, from trading firms and hedge funds to research organizations and technology providers. Our commitment to data quality and technical excellence makes us the trusted choice for cryptocurrency market data needs.

The dataset is offered in CSV file format and contains three columns --- the quote, the author of the quote and the category tags for that quote. Examples of tags include --- love, life, philosophy, motivation, family, etc. These tags help in describing the various categories that a particular quote belongs to.
I also have added data in form of text files for a task like language models. Source of data

Dataset

This dataset was created by Mubashir Rasool Razvi

Released under GPL 2

Contents

algoseek Futures Trade and Quote data include trades and quotes with condition codes (including Aggressor Side). Both processed TAQ and unprocessed raw file are available. Processed TAQ dataset has millisecond timestamp. The data is from CME, CBOT, NYMEX, and Comex. Data is as far back as January 2010.

Prices for Portugal 2Y including live quotes, historical charts and news. Portugal 2Y was last updated by Trading Economics this March 26 of 2025.

The Quote System Software market has emerged as a crucial component in streamlining business operations across various industries, providing organizations with the tools necessary to create, manage, and deliver quotes efficiently. This type of software plays an instrumental role in improving sales processes, enhanci

This statistic reports the distribution of the leading ten home improvement services requested in Italy as of March 2018, broken down by suppliers’ quote. According to data, over the period of consideration, the most requested home improvement service was the installation of air conditioning systems, with 21 percent of suppliers’ quote. Painting followed accounting for 19 percent of all supplier quotes for home improvement services requested.

Cost Estimating And Quoting Software For Manufacturing Market size was valued at USD 525.1 Billion in 2023 and is projected to reach USD 1138.2 Billion by 2031, growing at a CAGR of 11.56% during the forecast period 2024-2031.

Global Cost Estimating And Quoting Software For Manufacturing Market Drivers

The market drivers for the Cost Estimating And Quoting Software For Manufacturing Market can be influenced by various factors. These may include:

Increased Demand for Efficiency: In today’s competitive manufacturing landscape, businesses are under constant pressure to optimize their operations and trim costs without compromising quality. Cost estimating and quoting software play a crucial role in achieving these objectives by streamlining the process of generating cost estimates and quotes. This software significantly reduces the time needed to produce accurate quotes, allowing manufacturers to respond faster to customer inquiries and win more business. Efficient quoting also helps in better resource allocation and production planning, reducing wastage and downtime. By providing detailed cost breakdowns and labor estimates quickly, the software allows decision-makers to make more informed and timely business decisions. Furthermore, the time saved by automating these processes can be reinvested into other critical areas of the business, such as innovation and customer service, thus improving overall operational efficiency. The ability to produce quotes rapidly without sacrificing accuracy gives manufacturers a competitive edge and is a key market driver for such software.

Automation and Reduced Errors: Automation is one of the primary advantages of cost estimating and quoting software. Manual quote generation is often prone to human errors, which can lead to costly mistakes, such as underquoting or overquoting, that affect profitability and customer satisfaction. Automating the estimating and quoting process minimizes these risks by applying standardized calculations and predefined data inputs, ensuring consistent and accurate results. This software typically incorporates complex algorithms and historical data to provide precise estimates, reducing the potential for errors that can arise from manual data entry and subjective judgments. Automation also enables real-time adjustments and updates, which are essential in a rapidly changing manufacturing environment where material costs and labor rates can fluctuate. By reducing the incidence of errors and the need for rework, manufacturers can enhance their reputation for reliability and accuracy, which in turn builds customer trust and loyalty. Efficiency gains from automation lead to cost savings and higher profitability, driving the market for such solutions.

Complexity of Modern Manufacturing: Modern manufacturing involves a highly intricate network of processes, materials, and technologies, making it increasingly complex to estimate costs accurately. From custom parts and variable production volumes to advanced machinery and diverse raw materials, the factors influencing the final cost of a manufactured product are numerous and interdependent. Cost estimating and quoting software is designed to handle this complexity by integrating various elements of the production process into a comprehensive and cohesive estimating system. This software can take into account multiple variables, such as machine run times, material costs, labor hours, and overheads, providing a holistic view of production costs. Additionally, it can cater to different manufacturing methodologies, whether it’s batch production, continuous production, or just-in-time manufacturing. The ability to accurately capture and analyze such multifaceted data is invaluable for manufacturers looking to optimize pricing strategies and maintain competitive advantage. As manufacturing continues to grow in complexity, the demand for robust and sophisticated cost estimating solutions is expected to rise.

Integration with Other Systems: The integration capability of cost estimating and quoting software with other enterprise systems is a significant market driver. Modern manufacturers utilize a range of software applications, including Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and Manufacturing Execution Systems (MES), to manage different facets of their operations. When cost estimating and quoting software seamlessly integrates with these systems, it allows for a more synchronized and efficient workflow. Real-time data exchange between systems eliminates the need for manual data entry, reducing the risk of errors and ensuring consistency across various departments. For instance, integration with ERP systems can provide immediate access to up-to-date material costs and inventory levels, leading to more accurate and realistic estimates. Similarly, CRM integration ensures that customer information and histories are readily accessible, aiding in personalized and precise quoting. This interconnectedness facilitates better decision-making, enhances productivity, and enables a more strategic approach to pricing and resource allocation, driving the adoption of integrated estimating and quoting solutions in the market.

Customization and Scalability: Manufacturers seeking adaptable and scalable solutions tailored to specific needs add to the market growth.
Compliance and Regulatory Requirements: Adhering to industry standards and regulatory requirements in estimates and quotes is a driver for adopting sophisticated software solutions.
Globalization and Competition: As manufacturers face global competition, efficient cost estimating and quoting become critical for competitive pricing.

This databases offers 4564 references dealing with computer-assisted language comparison in a broad sense. In addition, the database offers 8364 distinct quotes collected from 5063 references. The majority of the references in the quote database overlaps with those in the bibliographic database. The quotes are organized by keywords and can browsed with a full text and a keyword search.

The data (references and quotes) underlying each new release are provided here, the data can be browsed at https://evobib.digling.org/.

If you use the database, I would appreciate if you could this in your research:

List, Johann-Mattis (2024): EvoBib: A bibliographic database and quote collection [Database, Version 1.8.0]. Passau: Chair for Multilingual Computational Linguistics. URL: https://evobib.digling.org/

Prices for Italy 30Y including live quotes, historical charts and news. Italy 30Y was last updated by Trading Economics this March 27 of 2025.

Prices for Shanghai 50 including live quotes, historical charts and news. Shanghai 50 was last updated by Trading Economics this March 27 of 2025.

Prices for Japan 1M including live quotes, historical charts and news. Japan 1M was last updated by Trading Economics this March 22 of 2025.

Kubota stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Prices for Netherlands 3M including live quotes, historical charts and news. Netherlands 3M was last updated by Trading Economics this March 23 of 2025.

Prices for Russia 1M including live quotes, historical charts and news. Russia 1M was last updated by Trading Economics this March 27 of 2025.

Prices for Japan 3M including live quotes, historical charts and news. Japan 3M was last updated by Trading Economics this March 27 of 2025.

Prices for Brazil 6M including live quotes, historical charts and news. Brazil 6M was last updated by Trading Economics this March 27 of 2025.

Prices for Japan 2Y including live quotes, historical charts and news. Japan 2Y was last updated by Trading Economics this March 26 of 2025.