🌮 TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action

🌐 Website | 📑 Arxiv | 💻 Code| 🤗 Datasets

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  Summary

TLDR: CoTA is a large-scale dataset of synthetic Chains-of-Thought-and-Action (CoTA) generated by multi-modal large language models.

  Load data

from datasets import load_dataset dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/cota-llava.

DialogStudio: Unified Dialog Datasets and Instruction-Aware Models for Conversational AI

Author: Jianguo Zhang, Kun Qian Paper|Github|[GDrive] 🎉 March 18, 2024: Update for AI Agent. Check xLAM for the latest data and models relevant to AI Agent! 🎉 March 10 2024: Update for dataset viewer issues:

Please refer to https://github.com/salesforce/DialogStudio for view of each dataset, where we provide 5 converted examples along with 5 original examples under each data folder. For… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/dialogstudio.

Cash-and-Equivalents Time Series for Salesforce.com Inc. Salesforce, Inc. provides customer relationship management (CRM) technology that connects companies and customers together worldwide. The company offers Agentforce, an agentic layer of the salesforce platform; Data Cloud, a data engine; Industries AI for creating industry-specific AI agents with Agentforce ; Salesforce Starter, a suite of solution for small and medium-size business; Slack, a workplace communication and productivity platform; Tableau, an end-to-end analytics solution for range of enterprise use cases and intelligent analytics with AI models, spot trends, predict outcomes, timely recommendations, and take action from any device; and integration and analytics solutions, as well as Agentforce Command Center, an observability solution to manage, track, and scale AI agent activity. It also provides marketing platform; commerce services, which empowers shopping experience across various customer touchpoint; and field service solution that enables companies to connect service agents, dispatchers, and mobile employees through one centralized platform to schedule and dispatch work, as well as track and manage jobs. The company has a strategic partnership with Google to integrate Agentforce 360 with Google Workspace for sales and IT service, which expands the Salesforce Gemini integration. Salesforce, Inc. was incorporated in 1999 and is headquartered in San Francisco, California.

Publicly available documentation, release notes, blog posts and tutorials about Salesforce.com. Could be used for language modeling or information extraction.

Salesforce's AI visibility dropped from 95% to 86% between July and November 2025. Track how AI models remember this brand.

Total-Other-Finance-Cost Time Series for Salesforce.com Inc. Salesforce, Inc. provides customer relationship management (CRM) technology that connects companies and customers together worldwide. The company offers Agentforce, an agentic layer of the salesforce platform; Data Cloud, a data engine; Industries AI for creating industry-specific AI agents with Agentforce ; Salesforce Starter, a suite of solution for small and medium-size business; Slack, a workplace communication and productivity platform; Tableau, an end-to-end analytics solution for range of enterprise use cases and intelligent analytics with AI models, spot trends, predict outcomes, timely recommendations, and take action from any device; and integration and analytics solutions, as well as Agentforce Command Center, an observability solution to manage, track, and scale AI agent activity. It also provides marketing platform; commerce services, which empowers shopping experience across various customer touchpoint; and field service solution that enables companies to connect service agents, dispatchers, and mobile employees through one centralized platform to schedule and dispatch work, as well as track and manage jobs. The company has a strategic partnership with Google to integrate Agentforce 360 with Google Workspace for sales and IT service, which expands the Salesforce Gemini integration. Salesforce, Inc. was incorporated in 1999 and is headquartered in San Francisco, California.

Net-Receivables Time Series for Salesforce.com Inc. Salesforce, Inc. provides customer relationship management (CRM) technology that connects companies and customers together worldwide. The company offers Agentforce, an agentic layer of the salesforce platform; Data Cloud, a data engine; Industries AI for creating industry-specific AI agents with Agentforce ; Salesforce Starter, a suite of solution for small and medium-size business; Slack, a workplace communication and productivity platform; Tableau, an end-to-end analytics solution for range of enterprise use cases and intelligent analytics with AI models, spot trends, predict outcomes, timely recommendations, and take action from any device; and integration and analytics solutions, as well as Agentforce Command Center, an observability solution to manage, track, and scale AI agent activity. It also provides marketing platform; commerce services, which empowers shopping experience across various customer touchpoint; and field service solution that enables companies to connect service agents, dispatchers, and mobile employees through one centralized platform to schedule and dispatch work, as well as track and manage jobs. The company has a strategic partnership with Google to integrate Agentforce 360 with Google Workspace for sales and IT service, which expands the Salesforce Gemini integration. Salesforce, Inc. was incorporated in 1999 and is headquartered in San Francisco, California.

The dataset/corpus is supplementary material for the paper titled "The dataset corpus is supplementary material for the paper "Exploring mobile application user experience through topic modeling" by Olivera Grljević, Mirjana Marić, and Rade Božić.This paper is focused on identifying factors influencing satisfaction and dissatisfaction with the SaleForce mobile application, which impact the user experience and consequently loyalty. Since online reviews reflect positive, negative, or neutral opinions, attitudes, and sentiments towards a certain entity [26], we restricted our research to online reviews of the SalesForce application. The data is collected from the Google Play Store[1] using a custom-written Python code for scraping the websites’ content.Corpus contains 9.296 online reviews of the mobile application, after addressing multilingualism in data by translating it to English.When using dataset, please use the following reference:Grljević, O., Marić, M., & Božić, R. (2025). Exploring Mobile Application User Experience Through Topic Modeling. Sustainability, 17(3), 1109. https://doi.org/10.3390/su17031109[1] The URL location of SalesForce mobile application on Google Play Store: https://play.google.com/store/apps/details?id=com.salesforce.chatter&hl=en&gl=US

ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models

ProVision is an extendable data generation engine which produces instruction data for large multimodal language models (MLMs). In particular, it synthesizes instruction data via data generators (Python programs) and scene graphs rather than proprietary models. It also includes a scene graph generation pipeline consisting of various state-of-the-art models (eg, object detection model). Thus… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/ProVision-10M.

As of its 2024 fiscal year, Salesforce.com’s largest revenue-generating service offering was its “Service cloud” which earned the company over ******billion U.S. dollars in total revenue. Other cloud services offered by the company include the Sales Cloud, Salesforce Platform, Marketing Cloud and Data. Historically, Sales Cloud has generated most of Salesforce’s revenue, but this year it generated the second most revenue out of the segment, while still generating more compared to the previous year. Salesforce.com Salesforce is a software company which focuses its business around cloud related software-as-a-service (Saas). The company has experienced rapid growth in recent years, with revenues increasing from around ****billion dollars in 2010 to ******billion in 2021. This rapid growth is spread across all of the company’s regional markets, but the Americas region remains the company’s largest, with sales of more than *****billion dollars. Software as a service (SaaS) market One of the many reasons for Salesforce's success is the rapid growth of the SaaS market itself. Bringing in less than ***billion dollars in 2010, SaaS market revenues have grown to an estimated ****billion as of 2020. The SaaS model involves the licensing of software to businesses, allowing these companies to make use of a huge range of advanced business applications without the need to host the software themselves.

Free-Cash-Flow-To-The-Firm Time Series for Salesforce.com Inc. Salesforce, Inc. provides customer relationship management (CRM) technology that connects companies and customers together worldwide. The company offers Agentforce, an agentic layer of the salesforce platform; Data Cloud, a data engine; Industries AI for creating industry-specific AI agents with Agentforce ; Salesforce Starter, a suite of solution for small and medium-size business; Slack, a workplace communication and productivity platform; Tableau, an end-to-end analytics solution for range of enterprise use cases and intelligent analytics with AI models, spot trends, predict outcomes, timely recommendations, and take action from any device; and integration and analytics solutions, as well as Agentforce Command Center, an observability solution to manage, track, and scale AI agent activity. It also provides marketing platform; commerce services, which empowers shopping experience across various customer touchpoint; and field service solution that enables companies to connect service agents, dispatchers, and mobile employees through one centralized platform to schedule and dispatch work, as well as track and manage jobs. The company has a strategic partnership with Google to integrate Agentforce 360 with Google Workspace for sales and IT service, which expands the Salesforce Gemini integration. Salesforce, Inc. was incorporated in 1999 and is headquartered in San Francisco, California.

Trust but Verify: Programmatic VLM Evaluation in the Wild

  Viraj Prabhu, Senthil Purushwalkam, An Yan, Caiming Xiong, Ran Xu

Explorer | Paper | Quickstart Vision-Language Models (VLMs) often generate plausible but incorrect responses to visual queries. However, reliably quantifying the effect of such hallucinations in free-form responses to open-ended queries is challenging as it requires visually verifying each claim within the response. We propose Programmatic VLM… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/PROVE.

This dataset contains the historical stock data for Salesforce Inc. (CRM), sourced from Yahoo Finance, spanning from its initial public offering (IPO) on June 23, 2004 through to December 2024. The data includes daily stock prices and provides essential details such as:

Date: The specific trading date for each record. Open: The opening price of Salesforce’s stock for that day. High: The highest price reached by Salesforce’s stock on that day. Low: The lowest price of Salesforce’s stock on that day. Close: The closing price for Salesforce’s stock on that day. Adj Close: The adjusted closing price, accounting for stock splits, dividends, and other corporate actions. Volume: The number of shares traded on that particular day. This dataset is ideal for those interested in analyzing Salesforce’s rise as a leader in cloud-based software, particularly in customer relationship management (CRM) solutions. From its early days as a pioneer in cloud computing to its current position as a dominant player in enterprise software and artificial intelligence, Salesforce's stock data offers valuable insights into its financial performance and market evolution.

Source: The data has been sourced from Yahoo Finance, a widely recognized platform for obtaining reliable historical financial data.

Data Usage:

Time Series Analysis: Analyze Salesforce’s stock price trends and market performance over time. Stock Price Prediction: Build predictive models to forecast Salesforce’s future stock price movements based on historical data. Financial Analysis: Conduct detailed analysis of Salesforce’s stock performance, volatility, and its impact on the SaaS (Software as a Service) industry.

Salesforce Backup Market Outlook

According to our latest research, the global Salesforce Backup market size reached USD 1.56 billion in 2024, reflecting robust demand across multiple verticals. The market is set to maintain a strong upward trajectory with a projected CAGR of 18.7% from 2025 to 2033, ultimately reaching a forecasted value of USD 7.58 billion by 2033. This remarkable growth is primarily driven by the increasing adoption of cloud-based CRM solutions, the growing awareness of data loss risks, and stringent compliance requirements across industries.

One of the most significant growth factors propelling the Salesforce Backup market is the exponential rise in data volumes generated by organizations leveraging Salesforce as their primary customer relationship management platform. As businesses increasingly rely on Salesforce for mission-critical operations, the risk associated with data loss, corruption, or cyberattacks has become a paramount concern. This has led to a surge in demand for robust backup and recovery solutions tailored specifically for Salesforce environments. Enterprises are now prioritizing data resilience and business continuity, recognizing that accidental deletions, malicious activities, or system failures can result in substantial financial and reputational losses. Consequently, vendors are innovating with advanced backup technologies, including automated scheduling, granular recovery, and seamless integration, to address these evolving needs.

Another key driver for the Salesforce Backup market is the tightening regulatory landscape. Organizations across sectors such as BFSI, healthcare, and government are increasingly subject to stringent data protection laws, including GDPR, HIPAA, and CCPA. These regulations mandate not only the safeguarding of sensitive data but also the ability to restore information quickly in the event of loss or breach. As a result, compliance-driven adoption of Salesforce backup solutions is on the rise, with businesses seeking tools that provide audit trails, encryption, and comprehensive reporting capabilities. The emphasis on regulatory compliance is compelling IT decision-makers to invest in third-party backup services that go beyond Salesforce’s native data protection offerings, ensuring both legal adherence and operational resilience.

The rapid shift toward remote and hybrid work models in the post-pandemic era has also significantly influenced the Salesforce Backup market. With employees accessing Salesforce from multiple locations and devices, the risks of inadvertent data loss or unauthorized access have escalated. This has underscored the importance of robust backup strategies that can accommodate distributed workforces and dynamic data environments. Cloud-based backup solutions, in particular, have gained traction due to their scalability, ease of deployment, and ability to provide real-time protection regardless of user location. Vendors are responding by enhancing their offerings with features such as continuous backup, disaster recovery, and instant restore, ensuring that organizations can maintain seamless operations in the face of unforeseen disruptions.

From a regional perspective, North America continues to dominate the Salesforce Backup market, driven by the high concentration of Salesforce users, advanced IT infrastructure, and a strong focus on data governance. However, Asia Pacific is emerging as a lucrative growth region, fueled by rapid digital transformation, expanding cloud adoption, and increasing awareness of data security best practices. Europe, with its rigorous data protection regulations, also represents a significant market, while Latin America and the Middle East & Africa are witnessing steady adoption as organizations modernize their IT ecosystems. The global nature of Salesforce deployments ensures that demand for backup solutions is rising across all geographies, with vendors tailoring their offerings to meet region-specific compliance and operational requirements.

Component Analysis

The Salesforce Marketing Cloud Consulting Service market is poised for significant expansion, projected to reach approximately $5,500 million by 2033, with a Compound Annual Growth Rate (CAGR) of around 12.5% during the forecast period of 2025-2033. This robust growth is primarily fueled by the increasing adoption of advanced digital marketing strategies by businesses of all sizes seeking to enhance customer engagement and drive personalized experiences. Large enterprises are a key segment, leveraging the comprehensive capabilities of Salesforce Marketing Cloud to manage complex, multi-channel campaigns. Simultaneously, Small and Medium-sized Enterprises (SMEs) are increasingly recognizing the value of these consulting services to democratize sophisticated marketing tools, leading to sustained demand across the board. The shift towards an online service model further accelerates accessibility and scalability, enabling businesses to adapt quickly to evolving market dynamics and customer expectations. Key drivers for this market expansion include the growing emphasis on data-driven marketing, the need for sophisticated customer journey mapping, and the continuous innovation within the Salesforce Marketing Cloud platform itself. Businesses are actively seeking expert guidance to optimize their marketing automation, email marketing, social media management, and advertising campaigns. Emerging trends such as the integration of Artificial Intelligence (AI) and Machine Learning (ML) for predictive analytics and hyper-personalization are also creating new avenues for consulting services. However, challenges such as the high cost of implementation and the scarcity of skilled Salesforce marketing cloud consultants may pose moderate restraints, necessitating strategic workforce development and efficient service delivery models from prominent players like IBM, Wipro, and Salesforce itself. This report provides a comprehensive analysis of the Salesforce Marketing Cloud Consulting Service market, offering insights into its current state and projected trajectory. Leveraging data from the historical period (2019-2024) and projecting forward to 2033, with a base and estimated year of 2025, this study unveils critical market trends, growth drivers, challenges, and leading players. The market's valuation, projected to reach $XX million in 2025, is expected to witness significant expansion throughout the forecast period.

The Salesforce App Cloud Consulting Service market is poised for significant expansion, projected to reach an estimated market size of approximately $15,600 million by 2025. This robust growth trajectory is underpinned by a compelling Compound Annual Growth Rate (CAGR) of around 18%, indicating a dynamic and rapidly evolving landscape. The primary drivers fueling this surge include the increasing demand for customized cloud-based applications that enhance business agility and operational efficiency across diverse industries. Organizations are increasingly leveraging Salesforce's extensive platform capabilities to develop bespoke solutions that address specific business challenges, streamline workflows, and improve customer engagement. Furthermore, the continuous evolution of cloud technologies and the growing adoption of digital transformation initiatives are creating fertile ground for specialized consulting services that guide businesses through the complex process of application development, integration, and management on the Salesforce platform. The market is segmented into Online and Offline service delivery models, with Online services gaining prominence due to their scalability and accessibility. In terms of application, both Large Enterprises and Small and Medium-sized Enterprises (SMEs) represent significant customer segments, with SMEs increasingly seeking cost-effective and agile solutions to compete in the digital age. Key trends shaping the market include the rise of low-code/no-code development platforms within the Salesforce ecosystem, which democratize app creation and accelerate deployment cycles. Moreover, a growing emphasis on data analytics, artificial intelligence (AI), and the Internet of Things (IoT) integration within Salesforce applications is driving demand for advanced consulting expertise. While the market exhibits strong growth, potential restraints could include the scarcity of highly skilled Salesforce developers and consultants, and the initial investment cost for businesses embarking on extensive customization projects. However, the overarching benefits of enhanced productivity, customer satisfaction, and competitive advantage are expected to outweigh these challenges, ensuring sustained market vitality. This report provides a comprehensive analysis of the Salesforce App Cloud Consulting Service market, offering insights into its concentration, product landscape, market segmentation, regional trends, key drivers, challenges, emerging trends, growth catalysts, leading players, and significant developments. The analysis is built upon an estimated market size in the millions, reflecting the substantial investment and strategic importance of these services for businesses worldwide.

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Change-To-Inventory Time Series for Salesforce.com Inc. Salesforce, Inc. provides customer relationship management (CRM) technology that connects companies and customers together worldwide. The company offers Agentforce, an agentic layer of the salesforce platform; Data Cloud, a data engine; Industries AI for creating industry-specific AI agents with Agentforce ; Salesforce Starter, a suite of solution for small and medium-size business; Slack, a workplace communication and productivity platform; Tableau, an end-to-end analytics solution for range of enterprise use cases and intelligent analytics with AI models, spot trends, predict outcomes, timely recommendations, and take action from any device; and integration and analytics solutions, as well as Agentforce Command Center, an observability solution to manage, track, and scale AI agent activity. It also provides marketing platform; commerce services, which empowers shopping experience across various customer touchpoint; and field service solution that enables companies to connect service agents, dispatchers, and mobile employees through one centralized platform to schedule and dispatch work, as well as track and manage jobs. Salesforce, Inc. was incorporated in 1999 and is headquartered in San Francisco, California.

APIGen Function-Calling Datasets

Paper | Website | Models This repo contains 60,000 data collected by APIGen, an automated data generation pipeline designed to produce verifiable high-quality datasets for function-calling applications. Each data in our dataset is verified through three hierarchical stages: format checking, actual function executions, and semantic verification, ensuring its reliability and correctness. We conducted human evaluation over 600 sampled data points, and… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/xlam-function-calling-60k.