Factual Consistency in Summarization

Can you tell which edits of summaries are consistent, and which are inconsistent?

  SummEdits Benchmark (Section 6-7)

We release the 6,348 samples of data for the 10 domains in the SummEdits. Each sample has entries for:

domain: out of the 10 domains in SummEdits, id: a unique ID for the sample, doc: the input document, summary: the summary that is either consistent or inconsistent with the facts in the document, label: 1 if the… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/summedits.

InstruSum

This is the dataset corresponding to our paper "Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization".

  dataset

The dataset subset contains 100 human-written data examples by us. Each example contains an article, a summary instruction, a LLM-generated summary, and a hybrid LLM-human summary.

  human_eval

This subset contains human evaluation results for the 100 examples in the dataset… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/InstruSum.

Factori houses an extensive dataset of US Person data, providing valuable insights into individuals across various demographic and behavioral dimensions. Our US Person Data section is dedicated to helping you understand the breadth and depth of the information available through our API.

Data Collection and Aggregation Our Person data is gathered and aggregated through surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points. This ensures that the data you access is up-to-date and accurate.

Here are some of the data categories and attributes we offer within US Person Graph: - Geography: City, State, ZIP, County, CBSA, Census Tract, etc. - Demographics: Gender, Age Group, Marital Status, Language, etc. - Financial: Income Range, Credit Rating Range, Credit Type, Net Worth Range, etc. - Persona: Consumer type, Communication preferences, Family type, etc. - Interests: Content, Brands, Shopping, Hobbies, Lifestyle, etc. - Household: Number of Children, Number of Adults, IP Address, etc. - Behaviors: Brand Affinity, App Usage, Web Browsing, etc. - Firmographics: Industry, Company, Occupation, Revenue, etc. - Retail Purchase: Store, Category, Brand, SKU, Quantity, Price, etc.

Here's the data schema: Person_id first_name last_name gender age year month day full_address city state zipcode zip4 delivery_point_bar_code carrier_route walk_sequence_code fips_state_code fips_county_code country_name latitude longtitude address_type metropolitan_statistical_area core_based_statistical_area census_tract census_block
census_block_group primary_address pre_address street post_address address_suffix address_secondline address_abrev
census_median_home_value home_market_value property_build_year property_with_ac property_with_pool property_with_water property_with_sewer general_home_value property_fuel_type household_id census_median_household_income
household_size occupation_home_office
dwell_type household_income marital_status length_of_residence number_of_kids pre_school_kids single_parent working_women_in_house_hold homeowner children
adults generations net_worth education_level education_history occupation occuptation_business_owner credit_lines credit_card_user newly_issued_credit_card_user credit_range_new credit_cards loan_to_value and alot more...

Dataset Card for "wikitext"

  Dataset Summary

The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License. Compared to the preprocessed version of Penn Treebank (PTB), WikiText-2 is over 2 times larger and WikiText-103 is over 110 times larger. The WikiText dataset also features a far larger… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/wikitext.

The pharmaceutical CRM software market, currently valued at $3,198.5 million in 2025, is projected to experience robust growth, driven by increasing demand for efficient sales and marketing solutions within the pharmaceutical industry. A Compound Annual Growth Rate (CAGR) of 5% from 2025 to 2033 indicates a significant expansion of the market. Key drivers include the growing need for enhanced customer relationship management (CRM), improved sales force effectiveness, and stricter regulatory compliance requirements. The rise of digital marketing strategies and the adoption of data-driven decision-making further contribute to the market's expansion. Segmentation reveals strong demand across various applications, including medical representative management, marketing campaign management, sample tracking, and regulatory compliance, with large enterprises and SMEs both actively adopting these solutions. Leading vendors like Salesforce, Oracle, and others are competing to provide comprehensive and integrated solutions catering to the specific needs of pharmaceutical companies, driving innovation and fostering competition in the sector. The market is geographically diverse, with North America and Europe currently holding significant market shares, but growth potential is substantial in the Asia-Pacific region due to increasing pharmaceutical spending and technological advancements. The market's growth is also influenced by several trends, including the increasing adoption of cloud-based CRM solutions, the integration of artificial intelligence (AI) and machine learning (ML) for predictive analytics and personalized marketing, and the growing focus on data security and privacy. However, the market faces challenges, including the high cost of implementation and maintenance of these sophisticated systems and the complexity of integrating these solutions with legacy systems. Furthermore, the need for specialized expertise to effectively manage and utilize these CRM systems can present a barrier to entry for some pharmaceutical companies. Despite these restraints, the long-term outlook for the pharmaceutical CRM software market remains positive, fueled by ongoing technological advancements and the pharmaceutical industry's unwavering commitment to improving efficiency and patient outcomes.

Auto-generated structured data of Salesforce Field Reference from table Fields

This is the tokenized data of salesforce/wikitext dataset. All the samples in the train set are concatenated for pretraining the llm. To see how the tokenized dataset is created please see : https://github.com/SSahas/Implementing-LLM-From-Scratch/blob/main/assets/preprocessing.ipynb PROJECT Implementing Decoder only Model (GPT style) from scratch with PyTorch Pretraining a LLM model for Text generation, used Salesforce/wikitext for training. The model was trained for 30000 iterations with a… See the full description on the dataset page: https://huggingface.co/datasets/SSahas/llm_pretrain_dataset.

UK B2B People Database | 65M+ Professionals | 95% Contact Accuracy For UK teams needing local precision with global-grade insights, Forager.ai delivers the UK’s and Global B2B people Data, B2B company data with people intelligence – verified mobile numbers, work emails, and career histories for executives, managers, and technical specialists across every postcode.

Why This Beats Generic UK Data ✅ AI-Powered Verification Every contact is validated against: ✔ Active corporate domains ✔ LinkedIn activity patterns ✔ Regional hiring trends

✅ Career Timeline Tracking Bi-weekly updates capture:

Promotions to decision-making roles

Department transfers (IT → Procurement)

Recent redundancies (timely outreach opportunities)

✅ Regional Nuance London vs. Midlands vs. Scottish contacts include: ✔ Local office addresses ✔ Regional management hierarchies ✔ Industry-specific skills (Edinburgh fintech vs. Birmingham manufacturing)

✅ Ethical Compliance UK-GDPR aligned with:

Automated SAR processing

Right-to-erasure workflows

SME exemption guidance

Your Complete UK People Toolkit Core Data Per Contact: ✔ Direct mobile & desk numbers (with dialing codes) ✔ Verified corporate & personal emails ✔ Career path (past 3 UK-based roles + tenure) ✔ Skills matrix (certifications, niche expertise) ✔ Management scope (direct reports, budget size) ✔ Open-source activity (GitHub commits for tech roles)

How UK Teams Use This 🔸 Sales Leaders: → Target CFOs at scaling Manchester SaaS firms → Track Bristol engineers adopting AI tools

🔸 Recruiters: → Source NHS digital leads before job postings → Find Edinburgh Uni machine learning graduates

🔸 VCs/PE Firms: → Map leadership teams at Leeds fintech startups → Identify exiting founders post-acquisition

🔸 Marketing Teams: → Personalize ABM campaigns by regional dialect → Enrich HubSpot/Salesforce with local office data

Enterprise-Ready for UK Businesses

API: Real-time sync with UK CRMs (Pipedrive, Copper)

PostgreSQL: Regionally segmented databases

CSV/JSON: Postcode-targeted campaign files

Compliance: Auto-redact sensitive fields (UTR/NI numbers)

Proof in the Postcode → 92% Accuracy on mobile numbers for London FTSE 250 contacts → 41% Faster Outreach with verified local dialing codes → Free M4 Corridor Sample – 500 contacts for Reading/Swindon/Bristol

UK B2B Contacts | London Decision-Makers | GDPR-Compliant Data | Regional People Intelligence | Verified Mobile Numbers | Career History Database | Skills-Based Recruitment | UK Tech Talent | Local Office Contacts | SME Leadership Data

Salesforce CRM Document Generation Software Market Outlook

The global Salesforce CRM Document Generation Software market size was valued at approximately USD 1.5 billion in 2023 and is projected to reach around USD 5.2 billion by 2032, growing at a robust CAGR of 15.2% during the forecast period. This impressive growth can be attributed to the increasing demand for efficient and automated document management systems across various industries, driven by the need to streamline business processes and enhance productivity.

One of the significant growth factors for this market is the rapid digital transformation seen across various industries. Businesses are increasingly adopting cloud-based solutions to optimize their operations and improve customer experience. Salesforce CRM document generation software is becoming critical for companies looking to automate and simplify their document-related workflows. This software enables companies to generate, manage, and share documents efficiently, thereby reducing manual effort and minimizing errors. The growing integration of AI and machine learning within CRM platforms further enhances the capabilities of document generation software, making it a vital tool for modern businesses.

Another driver for the market's growth is the rising need for compliance and data security. Regulatory bodies across the globe have stringent requirements for document management, especially in sectors like finance, healthcare, and legal services. Salesforce CRM document generation software helps organizations comply with these regulations by ensuring that documents are accurately generated, stored, and easily retrievable. This not only aids in compliance but also enhances data security, reducing the risk of data breaches and associated penalties. As regulatory landscapes evolve, the demand for sophisticated document generation tools is set to increase further.

Furthermore, the increasing trend of remote work and the growing number of small and medium-sized enterprises (SMEs) are also significant growth factors. With remote work becoming more prevalent, businesses require reliable software solutions to manage documentation processes seamlessly from different locations. Salesforce CRM document generation software, with its cloud-based deployment options, offers the flexibility and accessibility needed for remote operations. Additionally, the proliferation of SMEs, which often have limited resources and require cost-effective solutions for efficient document management, is driving the adoption of this software.

Regionally, North America holds a dominant position in the Salesforce CRM document generation software market, primarily due to the early adoption of advanced technologies and the presence of major market players in the region. Europe and Asia Pacific are also witnessing substantial growth, with increasing investments in digital transformation and the growing awareness of the benefits of CRM document generation software. Emerging economies in Latin America and the Middle East & Africa are gradually catching up, driven by the growing need for efficient business operations and regulatory compliance.

Component Analysis

The Salesforce CRM document generation software market is segmented into two main components: software and services. The software segment encompasses the core functionalities of document generation, including template creation, automated document generation, and integration with other CRM tools. This segment is witnessing significant growth due to the increasing demand for automation in document management processes. Businesses are continuously seeking efficient software solutions that can reduce manual efforts and improve accuracy in document generation. Additionally, the integration of advanced technologies like AI and machine learning into these software solutions is enhancing their capabilities, making them more attractive to enterprises across various industries.

On the other hand, the services segment includes implementation, consulting, training, and support services. This segment is crucial for the successful deployment and utilization of Salesforce CRM document generation software. As the complexity of document generation processes varies across different industries, the need for tailored consulting services to ensure optimal software performance is growing. Implementation services are essential for setting up the software according to specific business requirements, while training services help employees become proficient in using the software. Support services ensure that any issues encountered during the usage o

Dataset Card for WAFER-QA

Dataset Description Paper Information Citation

  Dataset Description

WAFER-QA (Web-Augmented Feedback for Evaluating Reasoning) is a benchmark for evaluating LLM agents' resilience against factually supported deceptive feedback. Each sample includes web-retrieved evidence supporting an alternative answer—one that differs from the groundtruth.

  🗂️ Dataset Structure

The dataset consists of two splits: 1. Contextual Split: WAFER-QA… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/WAFER-QA.

Enterprise Resource Planning Software Solution (ERP): Primary Customer Relationship Management Solution (CRM): For example, Salesforce, Lagan CRM, Microsoft Dynamics; software of this nature. Primary Human Resources (HR) and Payroll Software Solution: For example, iTrent, ResourceLink, HealthRoster; software of this nature. The organisation’s primary corporate Finance Software Solution: For example, Agresso, Integra, Sapphire Systems; software of this nature. Name of Supplier: Can you please provide me with the software provider for each contract? The brand of the software: Can you please provide me with the actual name of the software. Please do not provide me with the supplier name again please provide me with the actual software name. Description of the contract: Can you please provide me with detailed information about this contract and please state if upgrade, maintenance and support is included. Please also list the software modules included in these contracts. Number of Users/Licenses: What is the total number of user/licenses for this contract? Annual Spend: What is the annual average spend for each contract? Contract Duration: What is the duration of the contract please include any available extensions within the contract. Contract Start Date: What is the start date of this contract? Please include month and year of the contract. DD-MM-YY or MM-YY. Contract Expiry: What is the expiry date of this contract? Please include month and year of the contract. DD-MM-YY or MM-YY. Contract Review Date: What is the review date of this contract? Please include month and year of the contract. If this cannot be provide please provide me estimates of when the contract is likely to be reviewed. DD-MM-YY or MM-YY.

Relationship Extraction Dataset

This dataset contains the train/test/validation splits for finetuning Gemma 12b. The relationships where extracted using Gemma-27b fp16 (via API). It consists of samples from the following datasets:

50 selected wikipedia articles which are chunked with varying chunk size 10'000 Samples from the Salesforce/wikitext dataset (for general knowledge): https://huggingface.co/datasets/Salesforce/wikitext 10'000 Samples from the bloomberg news dataset:… See the full description on the dataset page: https://huggingface.co/datasets/dshush/relextraction.

According to Cognitive Market Research, the global Data Integration Market size will be USD 15.24 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 12.31% from 2024 to 2031. Key Dynamics of

Data Integration Market

Key Drivers of

Data Integration Market

Explosion of Data Across Disparate Systems: Organizations are producing enormous quantities of data across various platforms such as CRMs, ERPs, IoT devices, social media, and third-party services. Data integration tools facilitate unified access, allowing businesses to obtain comprehensive insights by merging both structured and unstructured data—thereby enhancing analytics, reporting, and operational decision-making.

Demand for Real-Time Business Intelligence: Contemporary enterprises necessitate real-time insights to maintain their competitive edge. Real-time data integration enables the smooth synchronization of streaming and batch data from diverse sources, fostering dynamic dashboards, tailored user experiences, and prompt reactions to market fluctuations or operational interruptions.

Adoption of Hybrid and Multi-Cloud Environments: As organizations embrace a combination of on-premise and cloud applications, the integration of data across these environments becomes essential. Data integration solutions guarantee seamless interoperability, facilitating uninterrupted data flow across platforms such as Salesforce, AWS, Azure, SAP, and others—thereby removing silos and promoting collaboration.

Key Restraints for

Data Integration Market

Complexity of Legacy Systems and Data Silos: Many organizations continue to utilize legacy databases and software that operate with incompatible formats. The integration of these systems with contemporary cloud tools necessitates extensive customization and migration strategies—rendering the process laborious, prone to errors, and demanding in terms of resources.

Data Governance and Compliance Challenges: Achieving secure and compliant data integration across various borders and industries presents significant challenges. Regulations such as GDPR, HIPAA, and CCPA impose stringent requirements on data management, thereby heightening the complexity of system integration without infringing on privacy or compromising sensitive information.

High Cost and Technical Expertise Requirements: Implementing enterprise-level data integration platforms frequently demands considerable financial investment and the expertise of skilled professionals for ETL development, API management, and error resolution. Small and medium-sized enterprises may perceive the financial and talent demands as obstacles to successful adoption.

Key Trends in

Data Integration Market

The Emergence of Low-Code and No-Code Integration Platforms: Low-code platforms are making data integration accessible to non-technical users, allowing them to design workflows and link systems using intuitive drag-and-drop interfaces. This movement enhances time-to-value and lessens reliance on IT departments—making it particularly suitable for agile, fast-growing companies.

AI-Driven Automation for Data Mapping and Transformation: Modern platforms are increasingly utilizing machine learning to automatically identify schemas, propose transformation rules, and rectify anomalies. This minimizes manual labor, improves data quality, and accelerates integration processes—facilitating more effective data pipelines for analytics and artificial intelligence.

Heightened Emphasis on Data Virtualization and Federation: Instead of physically transferring or duplicating data, organizations are embracing data virtualization. This strategy enables users to access and query data from various sources in real time, without the need for additional storage—enhancing agility and lowering storage expenses. Introduction of the Data Integration Market Market

Data Integration Market is the increasing need for seamless access and analysis of diverse data sources to support informed decision-making and digital transformation initiatives. As organizations accumulate vast amounts of data from various systems, applications, and platforms, integrating this data into a unified view becomes crucial. Data integration solutions enable businesses to break down data silos, ensuring consistent, accurate, and real-time data availability...

Further to the original Enterprise Application request, the contract below has expired. Please provide the current status. Finance Capita CRM Trustmarque Solutions Ltd I'd like to apologise for the length of this request, and how tedious it may be to handle. That being said, please make an effort to provide all of this information. The information I'm requesting is regarding the software contracts that the organisation uses, for the following fields.Enterprise Resource Planning Software Solution (ERP): Primary Customer Relationship Management Solution (CRM): For example, Salesforce, Lagan CRM, Microsoft Dynamics; software of this nature. Primary Human Resources (HR) and Payroll Software Solution: For example, iTrent, ResourceLink, HealthRoster; software of this nature. The organisation’s primary corporate Finance Software Solution: For example, Agresso, Integra, Sapphire Systems; software of this nature. Name of Supplier: Can you please provide me with the software provider for each contract? The brand of the software: Can you please provide me with the actual name of the software. Please do not provide me with the supplier name again please provide me with the actual software name. Description of the contract: Can you please provide me with detailed information about this contract and please state if upgrade, maintenance and support is included. Please also list the software modules included in these contracts. Number of Users/Licenses: What is the total number of user/licenses for this contract? Annual Spend: What is the annual average spend for each contract? Contract Duration: What is the duration of the contract please include any available extensions within the contract. Contract Start Date: What is the start date of this contract? Please include month and year of the contract. DD-MM-YY or MM-YY. Contract Expiry: What is the expiry date of this contract? Please include month and year of the contract. DD-MM-YY or MM-YY.

Backup-as-a-Service (BaaS) Market Outlook

According to our latest research, the global Backup-as-a-Service (BaaS) market size reached USD 7.9 billion in 2024, reflecting robust demand across industries for scalable and reliable data protection solutions. The market is growing at a healthy CAGR of 23.6% and is projected to reach USD 66.9 billion by 2033. This impressive expansion is primarily driven by the increasing volume of business data, rising cyber threats, and the rapid adoption of cloud-based IT infrastructure, which are compelling organizations to seek flexible, cost-effective backup solutions.

One of the most significant growth factors for the Backup-as-a-Service (BaaS) market is the escalating frequency and sophistication of cyberattacks, including ransomware and data breaches. As businesses generate and store massive volumes of sensitive data, the risk of data loss has become a critical concern. BaaS offers a secure, automated, and offsite backup mechanism, reducing the potential impact of data loss incidents. Moreover, regulatory requirements around data protection and disaster recovery, especially in highly regulated sectors like BFSI and healthcare, are further propelling the adoption of BaaS. Organizations are increasingly prioritizing business continuity and compliance, making BaaS an essential component of their IT strategies.

Another key driver is the widespread digital transformation initiatives across industries. Enterprises are migrating their workloads and applications to the cloud, seeking enhanced agility, scalability, and cost savings. This shift is fueling the demand for cloud-native backup solutions that can seamlessly integrate with hybrid and multi-cloud environments. Furthermore, the proliferation of remote work and mobile devices has expanded the data landscape, necessitating comprehensive backup strategies that cover endpoints beyond traditional data centers. BaaS providers are responding by offering advanced features such as incremental backups, rapid recovery, and centralized management, which appeal to organizations of all sizes.

The rapid pace of technological innovation is also shaping the BaaS market. Artificial intelligence (AI) and machine learning (ML) are being integrated into backup solutions to optimize storage, predict failures, and automate recovery processes. Additionally, the growing adoption of Software-as-a-Service (SaaS) applications is prompting organizations to seek specialized backup offerings that protect data residing in platforms like Microsoft 365, Google Workspace, and Salesforce. As data sovereignty and privacy concerns intensify, BaaS providers are investing in robust encryption, geo-redundancy, and customizable retention policies to address diverse regulatory landscapes.

Regionally, North America continues to dominate the Backup-as-a-Service market, accounting for the largest revenue share in 2024, followed by Europe and Asia Pacific. The presence of a mature IT ecosystem, early cloud adoption, and stringent regulatory mandates contribute to North America's leadership. However, Asia Pacific is witnessing the fastest growth, driven by rapid digitalization, expanding SME sector, and increasing awareness of data security. Latin America and the Middle East & Africa are also emerging as promising markets, supported by growing investments in cloud infrastructure and digital transformation initiatives across government and enterprise sectors.

Component Analysis

The Component segment of the Backup-as-a-Service (BaaS) market is bifurcated into solutions and services, each playing a pivotal role in the overall value chain. The solution segment encompasses the core backup software platforms that provide functionalities such as automated scheduling, data deduplication, encryption, and recovery orchestration. These solutions are designed to integrate seamlessly with diverse IT environments, supporting both on-premises and cloud-based workloads. As organizations increasingly embrace hybrid and multi-cl

The global business analytics market is experiencing robust growth, driven by the increasing need for data-driven decision-making across various industries. The market's Compound Annual Growth Rate (CAGR) of 8.07% from 2019 to 2024 indicates a significant upward trajectory, projected to continue into the forecast period (2025-2033). Key drivers include the expanding volume of data generated by businesses, the rising adoption of cloud-based solutions offering scalability and cost-effectiveness, and the growing demand for advanced analytics techniques like predictive modeling and AI-powered insights to gain a competitive edge. The market is segmented by deployment (on-premise, cloud-based, hybrid) and end-user industry (banking, finance, healthcare, manufacturing, retail, telecom, and others). The cloud-based segment is expected to dominate due to its flexibility and accessibility. Industries like banking, financial services, and insurance (BFSI) are major adopters, leveraging analytics for risk management, fraud detection, and customer relationship management (CRM). However, challenges such as data security concerns, the need for skilled professionals, and the high initial investment costs for implementing comprehensive analytics solutions act as restraints on market growth. While precise figures for market size in specific years are unavailable, a logical estimation based on the provided CAGR suggests substantial growth. For example, if we assume a 2024 market size of $100 billion (a reasonable estimate given the market dynamics), the 2025 market size would be approximately $108 billion, projecting to significantly higher values throughout the forecast period. The competitive landscape is marked by a mix of established players like Oracle, IBM, SAP, Microsoft, and Salesforce, and specialized analytics vendors. These companies continuously innovate, introducing advanced features and integrating AI capabilities into their offerings. The market is expected to see further consolidation as companies seek to expand their market share and offer comprehensive solutions. The increasing adoption of big data technologies and the development of more sophisticated analytics techniques will further fuel market expansion in the coming years. Geographic regions such as North America and Europe are currently leading the market, but the Asia-Pacific region is projected to witness rapid growth due to increasing digitalization and rising investments in technology across developing economies. This balanced growth across different segments and regions suggests a bright outlook for the business analytics market in the long term. Recent developments include: June 2023: MicroStrategy Incorporated, the independent publicly traded analytics and business intelligence firm, has started a new multi-year partnership with Microsoft that will extend the availability of MicroStrategy’s products powered by Microsoft Azure. The collaboration will incorporate MicroStrategy’s advanced analytics abilities with Azure OpenAI Service to help businesses harness the full potential of their data., May 2023: Rackspace US Inc. announced Object Storage, enabling organizations to store and utilize large pools of unstructured data securely. Rackspace Object Storage saves substantial costs by eliminating data egress, retrieval, and transaction charges. In many cases, the Rackspace Object Storage solution can save more than 80% over hyper-scale cloud storage options. For multi-cloud customers operating modern S3-enabled applications, this is a new paradigm that facilitates better performance and lower costs, even as data-intensive applications continue to drive up the need for storage.. Key drivers for this market are: Increasing Volumes of Data and Cloud Deployment, Business Analytics/Intelligence Providers' Partnerships with Companies from Diversified Businesses to Leverage Analytics Capabilities. Potential restraints include: Increasing Volumes of Data and Cloud Deployment, Business Analytics/Intelligence Providers' Partnerships with Companies from Diversified Businesses to Leverage Analytics Capabilities. Notable trends are: BFSI is Expected to Hold Major Share.

J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization

Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty To run evaluation, please see our Github repo.

💻 Github: https://github.com/SalesforceAIResearch/ReasoningJudgeBench 📜 Paper: https://arxiv.org/abs/2505.13346

  ReasoningJudgeBench

ReasoningJudgeBench is a 1,483 sample pairwise benchmark introduced in the paper J4R: Learning to Judge with Equivalent Initial State… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/ReasoningJudgeBench.

Snapshot img

Configure Price And Quote Software Market Size 2025-2029

The configure price and quote (CPQ) software market size is forecast to increase by USD 3.51 billion, at a CAGR of 16.9% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing need for higher productivity in organizations. This demand stems from the complexity of modern sales processes, which require efficient and accurate pricing and quoting solutions to remain competitive. Three prominent entities shaping this market include Salesforce CPQ, Oracle CPQ Cloud, and SAP CPQ. Another key trend in the CPQ software market is the integration of artificial intelligence (AI) for digital advertising. AI-driven CPQ solutions enable personalized pricing and product recommendations, enhancing the customer experience and streamlining the sales process.
However, the market also faces challenges, such as the lack of coordination among business units. This disconnect can lead to inefficiencies, errors, and missed opportunities. To navigate these challenges, companies must invest in CPQ solutions that facilitate seamless communication and collaboration between departments, ensuring a unified approach to sales, pricing, and quoting.

What will be the Size of the Configure Price And Quote (CPQ) Software Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, with dynamic market activities unfolding across various sectors. Seamless integration of entities such as business intelligence, pricing analytics, inventory management, data analytics, data governance, sales enablement, training and support, and cloud deployment, are essential components of this market's continuous growth. CPQ solutions enable businesses to automate their sales processes, providing real-time pricing, quote generation, and order management capabilities. These solutions also offer customization options, workflow automation, reporting and dashboards, and sales pipeline management, ensuring a streamlined quote-to-cash process. Moreover, the market's evolution includes the emergence of hybrid deployment models, allowing businesses to leverage both cloud-based and on-premise solutions.

Salesforce integration and API integration are also becoming increasingly important, providing users with a unified platform for managing their sales, pricing, and inventory data. The market's ongoing development is characterized by the integration of user experience (UX) and user interface (UI) design, subscription management, contract management, and customer segmentation. These features enhance the user experience, enabling businesses to offer personalized pricing and product bundling to their customers while ensuring data security. Furthermore, the market's evolution includes the integration of implementation services, business process re-engineering, opportunity management, and configuration rules. These features provide businesses with the flexibility to tailor their CPQ solutions to their unique needs and requirements.

In conclusion, the CPQ software market's continuous dynamism is reflected in its evolving applications across various sectors. The integration of various features, including sales automation, customer journey mapping, quote-to-cash process, and real-time pricing, ensures that businesses can effectively manage their sales processes, optimize pricing, and enhance the customer experience.

How is this Configure Price And Quote (CPQ) Software Industry segmented?

The configure price and quote (CPQ) software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  Cloud-based
  On-premises


End-user

  IT and telecom
  BFSI
  Automobile
  Others


Application

  Sales Automation
  Pricing Optimization
  Quote Generation
  Product Configuration


Enterprise Size

  Large Enterprises
  Small and Medium-Sized Enterprises (SMEs)


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa

    Egypt
    KSA
    Oman
    UAE


  APAC

    China
    India
    Japan


  South America

    Argentina
    Brazil


  Rest of World (ROW)

By Deployment Insights

The cloud-based segment is estimated to witness significant growth during the forecast period.

In today's business landscape, Configure Price and Quote (CPQ) software has become an indispensable tool for organizations to streamline their sales processes and improve operational efficiency. Major companies in this segment include Salesforce, Oracle, SAP, and Cincom Systems Inc. The shift towards cloud

AutoTrain Dataset for project: csi5386

  Dataset Description

This dataset has been automatically processed by AutoTrain for project csi5386.

  Languages

The BCP-47 code for the dataset's language is en.

  Dataset Structure





  Data Instances

A sample from this dataset looks as follows: [ { "context": "Exhibit 10.1

FORM OF SUB-RESELLER AGREEMENT

Signature Page

Reseller Full Legal Name Salesforce.org, a nonprofit public benefit… See the full description on the dataset page: https://huggingface.co/datasets/adrienheymans/autotrain-data-csi5386.

La dimensione e la quota del mercato sono classificate in base a Deployment Type (Cloud-Based, On-Premises) and End-User (Small and Medium Enterprises (SMEs), Large Enterprises) and Functionality (Automated Document Generation, Template Management, Collaboration Tools, E-Signature Integration, Data Integration) and regioni geografiche (Nord America, Europa, Asia-Pacifico, Sud America, Medio Oriente e Africa)