This dataset consists of a few million Amazon customer reviews (input text) and star ratings (output labels) for learning how to train fastText for sentiment analysis.

PromptCloud extracted 41 thousand reviews of unlocked mobile phones sold on Amazon.co.uk to find out insights with respect to reviews, ratings, price and their relationships

Unlock the power of direct engagement with our comprehensive dataset of 34 million verified global phone numbers. This dataset is curated for businesses and data-driven teams looking to enhance customer acquisition, power targeted outreach, enrich CRM records, and fuel B2C growth at scale.

Whether you're running SMS marketing campaigns, telemarketing, building a mobile app user base, or performing identity validation, this dataset offers a scalable, compliant foundation to reach real users worldwide.

🔍 What’s Included: ✅ 34,000,000+ mobile and landline numbers

🌍 Global coverage, including high volumes from the US, UK, Canada, Europe, and emerging markets

🧹 Clean, structured format (CSV/JSON/SQL) for easy integration

📱 Includes carrier, country code, line type, and location data (where available)

🧠 Ideal Use Cases: B2C & D2C marketing campaigns

SMS and voice call outreach

Lead generation & prospecting

Mobile app user acquisition

Identity verification & enrichment

Market analysis and segmentation

This quarterly dataset for the UK fixed-line and mobile telecommunication markets contains data for aggregated call revenues, mobile phone and landline connections, call volumes, message volumes and subscriber numbers. The tables are published quarterly on the Ofcom website in pdf and csv formats.

Introduction

This UK English Call Center Speech Dataset for the Telecom industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for English-speaking telecom customers. Featuring over 30 hours of real-world, unscripted audio, it delivers authentic customer-agent interactions across key telecom support scenarios to help train robust ASR models.

Curated by FutureBeeAI, this dataset empowers voice AI engineers, telecom automation teams, and NLP researchers to build high-accuracy, production-ready models for telecom-specific use cases.

Speech Data

The dataset contains 30 hours of dual-channel call center recordings between native UK English speakers. Captured in realistic customer support settings, these conversations span a wide range of telecom topics from network complaints to billing issues, offering a strong foundation for training and evaluating telecom voice AI solutions.

Topic Diversity

This speech corpus includes both inbound and outbound calls with varied conversational outcomes like positive, negative, and neutral ensuring broad scenario coverage for telecom AI development.

This variety helps train telecom-specific models to manage real-world customer interactions and understand context-specific voice patterns.

Transcription

All audio files are accompanied by manually curated, time-coded verbatim transcriptions in JSON format.

These transcriptions are production-ready, allowing for faster development of ASR and conversational AI systems in the Telecom domain.

Metadata

Rich metadata is available for each participant and conversation:

The 2010 surveys in England, on which these results would have been based, have been suspended for operational reasons and this publication has been cancelled as a result. Source agency: Transport Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Seatbelt and mobile phone use in England

Quadrant provides Insightful, accurate, and reliable mobile location data.

Our privacy-first mobile location data unveils hidden patterns and opportunities, provides actionable insights, and fuels data-driven decision-making at the world's biggest companies.

These companies rely on our privacy-first Mobile Location and Points-of-Interest Data to unveil hidden patterns and opportunities, provide actionable insights, and fuel data-driven decision-making. They build better AI models, uncover business insights, and enable location-based services using our robust and reliable real-world data.

We conduct stringent evaluations on data providers to ensure authenticity and quality. Our proprietary algorithms detect, and cleanse corrupted and duplicated data points – allowing you to leverage our datasets rapidly with minimal processing or cleaning. During the ingestion process, our proprietary Data Filtering Algorithms remove events based on a number of both qualitative factors, as well as latency and other integrity variables to provide more efficient data delivery. The deduplicating algorithm focuses on a combination of four important attributes: Device ID, Latitude, Longitude, and Timestamp. This algorithm scours our data and identifies rows that contain the same combination of these four attributes. Post-identification, it retains a single copy and eliminates duplicate values to ensure our customers only receive complete and unique datasets.

We actively identify overlapping values at the provider level to determine the value each offers. Our data science team has developed a sophisticated overlap analysis model that helps us maintain a high-quality data feed by qualifying providers based on unique data values rather than volumes alone – measures that provide significant benefit to our end-use partners.

Quadrant mobility data contains all standard attributes such as Device ID, Latitude, Longitude, Timestamp, Horizontal Accuracy, and IP Address, and non-standard attributes such as Geohash and H3. In addition, we have historical data available back through 2022.

Through our in-house data science team, we offer sophisticated technical documentation, location data algorithms, and queries that help data buyers get a head start on their analyses. Our goal is to provide you with data that is “fit for purpose”.

Success.ai’s Phone Number Data offers direct access to over 50 million verified phone numbers for professionals worldwide, extracted from our expansive collection of 170 million profiles. This robust dataset includes work emails and key decision-maker profiles, making it an essential resource for companies aiming to enhance their communication strategies and outreach efficiency. Whether you're launching targeted marketing campaigns, setting up sales calls, or conducting market research, our phone number data ensures you're connected to the right professionals at the right time.

Why Choose Success.ai’s Phone Number Data?

Direct Communication: Reach out directly to professionals with verified phone numbers and work emails, ensuring your message gets to the right person without delay. Global Coverage: Our data spans across continents, providing phone numbers for professionals in North America, Europe, APAC, and emerging markets. Continuously Updated: We regularly refresh our dataset to maintain accuracy and relevance, reflecting changes like promotions, company moves, or industry shifts. Comprehensive Data Points:

Verified Phone Numbers: Direct lines and mobile numbers of professionals across various industries. Work Emails: Reliable email addresses to complement phone communications. Professional Profiles: Decision-makers’ profiles including job titles, company details, and industry information. Flexible Delivery and Integration: Success.ai offers this dataset in various formats suitable for seamless integration into your CRM or sales platform. Whether you prefer API access for real-time data retrieval or static files for periodic updates, we tailor the delivery to meet your operational needs.

Competitive Pricing with Best Price Guarantee: We provide this essential data at the most competitive prices in the industry, ensuring you receive the best value for your investment. Our best price guarantee means you can trust that you are getting the highest quality data at the lowest possible cost.

Targeted Applications for Phone Number Data:

Sales and Telemarketing: Enhance your telemarketing campaigns by reaching out directly to potential customers, bypassing gatekeepers. Market Research: Conduct surveys and research directly with industry professionals to gather insights that can shape your business strategy. Event Promotion: Invite prospects to webinars, conferences, and seminars directly through personal calls or SMS. Customer Support: Improve customer service by integrating accurate contact information into your support systems. Quality Assurance and Compliance:

Data Accuracy: Our data is verified for accuracy to ensure over 99% deliverability rates. Compliance: Fully compliant with GDPR and other international data protection regulations, allowing you to use the data with confidence globally. Customization and Support:

Tailored Data Solutions: Customize the data according to geographic, industry-specific, or job role filters to match your unique business needs. Dedicated Support: Our team is on hand to assist with data integration, usage, and any questions you may have. Start with Success.ai Today: Engage with Success.ai to leverage our Phone Number Data and connect with global professionals effectively. Schedule a consultation or request a sample through our dedicated client portal and begin transforming your outreach and communication strategies today.

Remember, with Success.ai, you don’t just buy data; you invest in a partnership that grows with your business needs, backed by our commitment to quality and affordability.

Text file of Angus Council's mobile library locations

Global B2B Mobile Phone Number Database | 100M+ Verified Contacts | 95% Accuracy Forager.ai provides the world’s most reliable mobile phone number data for businesses that refuse to compromise on quality. With 100 million+ professionally verified mobile numbers refreshed every 3 weeks, our database ensures 95% accuracy – so your teams never waste time on dead-end leads.

Why Our Data Wins ✅ Accuracy You Can Trust 95% of mobile numbers are verified against live carrier records and tied to current job roles. Say goodbye to “disconnected number” voicemails.

✅ Depth Beyond Digits Each contact includes 150+ data points:

Direct mobile numbers

Current job title, company, and department

Full career history + education background

Location data + LinkedIn profiles

Company size, industry, and revenue

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✅ Ethically Sourced & Compliant First-party collected data with full GDPR/CCPA compliance.

Who Uses This Data?

Sales Teams: Cold-call C-suite prospects with verified mobile numbers.

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This metric shows the proportion of residential and small business premises with a reliable 4G signal from two of the four mobile network operators (EE, Vodafone, O2 or Three). ie, for this proportion of the area only one network is available. For overall coverage see all operators metric. It has been produced by Ofcom, using data provided by mobile operators referenced against the Ordnance Survey of Great Britain (OSGB) Coordinate System, premises coverage is calculated from the postal delivery points taken from the Ordnance Survey AddressBase database. Mobile coverage produced by operators are based on theoretical models, calibrated using measurements of actual performance. However, consumers use mobile phones in many different situations - indoors, outdoors, on the move, in cars, as pedestrians along roads in built up areas and in wide open spaces all of which can affect coverage. Due to variations in mobile performance over time, the file should not be regarded as a definitive and fixed view of the UK's mobile infrastructure. However, the information provided in this file may be useful in identifying variations in mobile performance by geography.Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Survey of HMRC staff working patterns and attitudes to mobile/flexible working. Updated: one-off survey. Data coverage: 2013/14

This de-duped dataset is used by our customers for many purposes, primarily to understand which countries the people who visit specific locations (more accurately, the mobile devices carried by those people) - perhaps the locations that they own/operate, perhaps those owned/operated by their competitors, or visited by their customers - originated.

If, for instance, you operate a hotel brand and want to understand the top ten countries that visitors to your City came from; if/how that changes seasonally over time, and by type of location (perhaps higher end visitors are more likely to come from the UK or Germany versus France or Italy) - to help you build out your data models or marketing in those countries and/or to help tailor your product offers towards their needs.

This data can be useful as a way to understand, for instance, whether there are specific geographical areas you might consider putting a new location; where you might buy billboard ads, advertising the ‘local’ store; to build your own mobility data models to help better understand visitation into your own/your competitors premises, or test hypotheses around changes in visitation patterns over time.

The Intuizi Country Origin Dataset comprises fully-consented mobile device data, de-identified at source by the entity which has legal consent to own/process such data, and on who’s behalf we work to create a de-identified dataset of Encrypted ID visitation/mobility data.

Other-Non-Cash-Items Time Series for Vodafone Group PLC. Vodafone Group Public Limited Company provides telecommunication services in Germany, the United Kingdom, rest of Europe, Turkey, and South Africa. It offers mobile and fixed services; connectivity business solutions, such as digital services, the Internet of Things (IoT) and financial services; and IoT platforms. The company also provides cloud, multi-cloud, and edge computing solutions; M-PESA, an African mobile money platform to make payments and offer financial services; and international voice and roaming services. In addition, it offers unified communications, mobile connectivity, IoT connectivity, cloud and edge, E2E solutions, and security services; leases fibre and other fixed connectivity services; and engages in infrastructure assets, shared operations, growth platforms, retail, and service operations. The company serves private and public sector customers in health, banking and finance, transport and logistics, retail, utilities, and agriculture industries. Vodafone Group Public Limited Company was incorporated in 1984 and is based in Newbury, the United Kingdom.

Dataset Card: Synthetic Mobile Network Performance

Dataset Description This dataset contains synthetically generated mobile signal measurements designed to mirror real-world data in the UK. The data represents geolocated signal quality metrics from mobile devices, capturing a range of environmental and temporal conditions over several months in 2025. All data has been anonymized, aggregated, and processed to protect user privacy. The synthetic dataset has undergone pre-processing… See the full description on the dataset page: https://huggingface.co/datasets/joefee/cell-service-data.

English(the United Kingdom) Scripted Monologue Smartphone speech dataset, collected from monologue based on given scripts, covering generic domain, human-machine interaction, smart home command and in-car command, numbers and other domains. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(1,651 British people in total), geographicly speaking, enhancing model performance in real and complex tasks.Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

Lintlha tsa linomoro tsa UK li thusa ka mekhoa e fapaneng ho fumana chelete e ngata ho tsoa khoebong. Hape, dataset ea linomoro tsa UK ke bukana ea bohlokoa haholo eo u ka e rekang ho rona. Ka mokhoa o ts'oanang, e hlahisa menyetla e mengata ea khoebo hobane naha ena e ruile mafapheng a mangata. Kahoo, rona List to Data ke mohloli o phethahetseng oa ho fumana barekisi ba ntlafalitsoeng. Ha e le hantle, u ka tsamaisa papatso e tobileng habonolo. Mohlala, dataset ea linomoro tsa UK e tla fihla k'hamphaning ea hau holimo ka nako e khuts'oane. Leha ho le joalo, barekisi ba ka eketsa lipapatso tsa thekiso le litefiso tse ngata ho bareki. Hape, ba ka ikopanya le sehlopha se seholo sa bareki kapele. Webosaete ea rona e ka thusa ho fumana likarabo tse potlakileng ho tsoa ho bareki ba bacha hore ba phatlalatse. Kahoo, sehlopha sa rona se fana ka sena ka hloko ho latela litlhoko tsa hau. Lintlha tsa fono tsa UK li molemo haholo bakeng sa ho tsamaisa khoebo ka nako e telele. Ka holim'a tsohle, e bapala karolo ea bohlokoa ho nts'etsopele ea khoebo ho holisa thekiso. The List to Data e na le linomoro tsa ho ikopanya tse sebetsang hantle bakeng sa ho bapatsa ka kotloloho. Leha ho le joalo, sehlopha sa rona se ikhethileng se bokella linomoro tsena tsa mehala ho tsoa mehloling e mengata ea 'nete. Kahoo, haeba u reka data ea fono ea UK ho rona e u fa monyetla oa ho etsa meputso e mengata. Ho feta moo, data ena ea mohala oa UK e thusa ho holisa khoebo efe kapa efe ka ho hokahana ka kotloloho le bareki. Haele hantle, morekisi e mong le e mong a ka reka lintlha tsena tsa 'nete ntle le ho tšoenyeha. Kahoo, litsebi tsa rona li u fa lithekiso tse nepahetseng ho latela khoebo ea hau. Kahoo, re kokote kapele kamoo ho ka khonehang ho ntlafatsa k'hamphani ntle le matsapa. Haholo-holo, o ka fumana chelete e ngata ka ho etella pele. Lethathamo la linomoro tsa mohala tsa UK le tla fana ka liphetho tse khotsofatsang ka ho fetisisa tse tsoang ho mebaraka. Hape, ho fihlela moreki ho sebetsa ka linako tsohle ka mehala e batang kapa melaetsa ea selefouno. Lenane la linomoro tsa mohala tsa UK ke seboloka nako bakeng sa papatso e nepahetseng ea sehlahisoa. Kahoo, List To Data ea rona ke sebaka sa marang-rang se holimo sa ho reka nomoro ea mohala ea moreki. Leha ho le joalo, e eketsa thekiso ea k'hamphani, litumellano le litekanyetso. Ho feta moo, lenane lena la linomoro tsa mohala tsa UK le tlisa chelete e ngata ho feta litšenyehelo. Haeba u reka lethathamo la rona 'me u le sebelisa ka nepo u ka fumana chelete e ntle le ho feta. Re nka tse fokolang bakeng sa lithekiso tsa rona tse sebetsang e le hore u ka li nka hantle. Ho sa tsotelehe, sehlopha sa rona se nang le boiphihlelo se fana ka bukana ea linomoro ka mor'a ho li hlahloba habeli. Ehlile, li teng 24/7 ho fana ka maikutlo a lintlha tsa bohlokoa.

The Sitefinder dataset contains point locations for mobile phone base stations in the UK. The dataset was released by Ofcom in March 2013 at the end of an extremely protracted legal battle for public release of the data under the Environmental Information Regulations. While this dataset is the most comprehensive publicly available record of base station locations, some of the information is incomplete and/or out of date. Please see the notes enclosed with the data. The raw data was publicly released by Ofcom as a .xlsx spreadsheet on the Sitefinder website, and includes British National Grid and Irish Grid references. The copy available here is in shapefile and csv formats with WGS84 latitude and longitude coordinates added by Owen Boswarva. Please see the enclosed !ReadMe.txt file for notes on licensing and re-use of the dataset. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2013-04-04 and migrated to Edinburgh DataShare on 2017-02-22.

Leverage the most reliable and compliant mobile device location/foot traffic dataset on the market.

Veraset Movement (Mobile Location Data) offers unparalleled insights into footfall traffic patterns across dozens of European countries.

Covering 45+ European countries, Veraset's Mobile Location Data draws on raw GPS data from tier-1 apps, SDKs, and aggregators of mobile devices to provide customers with accurate, up-to-the-minute information on human movement. Ideal for ad tech, planning, retail, and transportation logistics, Veraset's Movement data helps shape strategy and make impactful data-driven decisions.

Veraset’s European Movement Panel includes the following countries: - United Kingdom-GB - Germany-DE - France-FR - Spain-ES - Italy-IT - The Netherlands-NL - Switzerland-CH - Belgium-BE - Sweden-SE - Austria-AT - Denmark-DK - Finland-FI - Cyprus-CY - Poland-PL - Ireland-IE - Portugal-PT - Romania-RO - Hungary-HU - Czech Republic-CZ - Greece-GR - Bulgaria-BG - Lithuania-LT - Croatia-HR - Norway-NO - Latvia-LV - Luxembourg-LU - Slovakia-SK - Estonia-EE - Cayman Islands-KY - Slovenia-SI - Vatican city-VA - Turks and Caicos Islands-TC - Bermuda-BM - Malta-MT - Iceland-IS - Liechtenstein-LI - Monaco-MC - British Virgin Islands-VG - Anguilla-AI - Andorra-AD - Greenland-GL - San Marino-SM - Federated States of Micronesia-FM - Montserrat-MS - Pitcairn islands-PN

Common Use Cases of Veraset's Mobile Location Data: - Advertising - Ad Placement, Attribution, and Segmentation - Audience Creation/Building - Dynamic Ad Targeting - Infrastructure Plans - Route Optimization - Public Transit Optimization - Credit Card Loyalty - Competitive Analysis - Risk assessment, Underwriting, and Policy Personalization - Enrichment of Existing Datasets - Trade Area Analysis - Predictive Analytics and Trend Forecasting

Total-Long-Term-Debt Time Series for Vodafone Group PLC. Vodafone Group Public Limited Company provides telecommunication services in Germany, the United Kingdom, rest of Europe, Turkey, and South Africa. It offers mobile and fixed services; connectivity business solutions, such as digital services, the Internet of Things (IoT) and financial services; and IoT platforms. The company also provides cloud, multi-cloud, and edge computing solutions; M-PESA, an African mobile money platform to make payments and offer financial services; and international voice and roaming services. In addition, it offers unified communications, mobile connectivity, IoT connectivity, cloud and edge, E2E solutions, and security services; leases fibre and other fixed connectivity services; and engages in infrastructure assets, shared operations, growth platforms, retail, and service operations. The company serves private and public sector customers in health, banking and finance, transport and logistics, retail, utilities, and agriculture industries. Vodafone Group Public Limited Company was incorporated in 1984 and is based in Newbury, the United Kingdom.

Change-To-Inventory Time Series for BT Group Plc. BT Group plc provides communications products and services in the United Kingdom, Europe, the Middle East, Africa, the Americas, and the Asia Pacific. The company operates through Consumer, Business, and Openreach segments. It builds, owns, and operates fixed and mobile networks; and designs, builds, markets, sells, and supports network access, connectivity, and related products. The company also offers mobile, broadband, and landline, as well as entertainment services comprising gaming and TV to individuals and households; connectivity, networking, cyber security, collaboration tools, cloud connectivity, and cloud services to private and public sector businesses; and managed solutions for larger businesses and public sector customers. In addition, it provides fixed and IP voice; unified communications; mobile; fixed and networking; and security, and cloud and IoT solutions. Further, the company develops, manages, and leases network infrastructure, including mobile cell and switch sites; and offers handsets, network equipment, and insurance services. It provides its products and services under the BT, EE, Plusnet, and Openreach brands. The company was formerly known as Newgate Telecommunications Limited and changed its name to BT Group plc in September 2001. BT Group plc was founded in 1846 and is headquartered in London, the United Kingdom.