# AI and LLM Data Marketplace The fastest platform to legally fine-tune LLMs with AI-ready datasets
Welcome to **Opendatabay**, the go-to marketplace for high-quality AI and LLM training data. In the age of AI, data is the new gold, and we make sure you can access it safely, efficiently, and reliably. Our platform is built specifically to empower developers, researchers, and businesses working with AI models, making data discovery, sharing, and monetisation seamless. ### **Our Mission** At Opendatabay, we aim to **unlock the power of AI by democratising access to high-quality datasets**. We focus on breaking down data silos, ensuring that AI developers and researchers can access the data they need without friction, while data providers can securely share and monetise their datasets. ### **What We Offer** * **Curated AI & LLM Datasets**: We specialise in datasets optimised for AI, Machine Learning, and Large Language Models. Each dataset is pre-curated, labelled, and ready for model training or fine-tuning, reducing time spent on preprocessing by 20–40%. * **Synthetic and Premium Data**: From high-fidelity synthetic data to premium real-world datasets, we provide diverse options for all your AI projects, ensuring scale, privacy, and accuracy. * **Trusted Marketplace**: Every dataset comes with verifiable provenance and metadata. Our platform enforces **transparent licensing** and ethical sourcing, so you can use data confidently for AI training and evaluation. * **Seamless Monetisation for Suppliers**: Data providers can easily list datasets, set pricing, and track sales. We help you turn valuable AI data into revenue without compromising on privacy or control. * **AI-First Tools**: Leverage our AI-powered search and recommendation system to quickly find the datasets that best match your project needs. Think of it as a senior data scientist recommending the perfect data for your model. ### **Why Opendatabay for AI?** * Focused on **LLM and AI data** specifically, not general data. * Supports **model training, fine-tuning, evaluation, and research**. * **Reduces AI development time** by providing ready-to-use datasets. * **Ensures compliance** and responsible AI use with clear, platform-specific licensing. Join [Opendatabay Platform](https://www.opendatabay.com) and become part of a community driving the next generation of AI. Whether you’re training LLMs, experimenting with generative AI, or building agentic systems, Opendatabay gives you the **data foundation your models deserve**. # How Opendatabay Works How Opendatabay Works - AI and LLM Data Marketplace Platform Opendatabay is the **AI Training Data Exchange** connecting data providers with AI developers, reducing data acquisition from weeks to seconds. ## The Purpose **We solve the AI data supply problem.** AI developers waste 40-60% of project time sourcing, cleaning, and licensing training data. The end of free scraping has created a data crisis, while existing solutions require weeks of manual negotiation. Opendatabay makes AI-ready datasets instantly discoverable, legally compliant, and immediately usable.
*** ## How It Works ### For Data Buyers (AI Developers, LLM teams, Enterprise buyers) **1. Discover** * Search on the platform or ask any LLM (ChatGPT, Claude, Perplexity, etc.) * All datasets are automatically exposed to major LLMs and search engines * Get AI-powered recommendations with accuracy scores **2. Evaluate** * Review quality scores, provenance, and use cases * Check licensing terms (General or Commercial AI License) * Compare pricing and delivery methods **3. Purchase & Access** * Instant download or API access * AI-ready formats (CSV, JSON, Parquet) * Clear licensing for training, fine-tuning, commercial use **4. Train Models** * Pre-processed datasets save 20-40% preprocessing time * Ready for immediate model training * No legal risk from unlicensed data *** ### For Data Providers (Sellers) **1. List Dataset** * Upload data and add its description * Set pricing and license type * Platform verifies and processes **2. Automatic Exposure** * Instantly discoverable by all major LLMs * Indexed by search engines * Featured in platform search results **3. Get Paid** * Tiered commission: 5-30% based on sale price * Payments within 30 days * Transparent transaction records *** ## Where Opendatabay Stands **Opendatabay is the marketplace infrastructure in the middle:** Data Providers (Sellers) → Opendatabay (Marketplace) → AI Developers (Buyers) ## What Makes Us Different * **AI-First**: 100% focused on AI training data, not general data * **Instant Access**: No weeks of negotiation, purchase and download in seconds * **LLM Discovery**: First marketplace with automatic LLM exposure * **Legal Certainty**: Standardised AI licenses eliminate risk *** ## Who Benefits | Role | Benefit | | ------------------ | ------------------------------------------------ | | **AI Startups** | Fast access to training data without legal teams | | **Researchers** | Affordable datasets for academic projects | | **Enterprises** | Compliant data for production AI systems | | **Data Owners** | Monetise datasets with global reach | | **LLM Developers** | Domain-specific fine-tuning data instantly | *** ## Our Mission Our mission is to serve both humans and machines with the highest-quality AI training data, while enabling data providers to securely monetise their work. We're building the infrastructure layer for responsible AI development, making AI data discovery and access as seamless as shopping on Amazon. # Finding Datasets Opendatabay Marketplace - Finding the Right Dataset for Your Needs Discovering the right dataset for your project is simple on Opendatabay. We offer multiple discovery methods powered by AI and traditional search, ensuring you find exactly what you need quickly and efficiently. ## Discovery Methods ### 1. Search Engine Discovery All listed datasets on Opendatabay are **automatically indexed** by major search engines, making them discoverable through: * Google Search * Bing * DuckDuckGo * Other search engines **How it works:** * Search for your data needs using natural language (e.g., "cancer patient data for research") * Opendatabay listings appear in search results * Click through to view dataset details and purchase **Benefits:** * Start your search where you already work * No need to visit the platform first * SEO-optimised listings for better discoverability *** ### 2. LLM-Powered Discovery Opendatabay datasets are **automatically exposed** to all major Large Language Models, enabling intelligent recommendations: **Supported LLMs:** * ChatGPT (OpenAI) * Perplexity * Google Gemini * DeepSeek * Mistral AI * Claude (Anthropic) * Grok (xAI) **How it works:** * Ask your preferred LLM: "What datasets are available for training a sentiment analysis model?" * LLMs recommend Opendatabay products based on: * Product name and description * Use cases and applications * Price and licensing terms * Keywords and tags * Data modalities (text, image, audio, video, etc.) **Benefits:** * Natural language queries * Context-aware recommendations * Fast and reliable discovery * Legal and compliant suggestions *** ### 3. Platform Search Bar Use the **search bar** at the top of the Opendatabay platform (navbar) for instant results. **Two search modes:** #### Traditional Keyword Search * Search by dataset name: "Financial Market Data" * Search by data provider: "Acme Data Corp" * Search by keywords: "healthcare", "NLP", "computer vision" #### AI-Powered Query Search * Enter natural language queries: "I am looking for cancer data" * Describe your use case: "Need transaction data for fraud detection" * Ask specific questions: "What datasets work best for training LLMs?" **How it works:** * Our AI engine analyses your query * Matches you with the most suitable datasets * Returns ranked results with **accuracy scores** *** ## Understanding Accuracy Scores Each search result includes an **accuracy score** indicating how well the dataset matches your requirements: | Score Range | What It Means | | ------------- | ------------------------------------------------------ | | **90-100%** | Excellent match - highly recommended for your needs | | **75-89%** | Good match - likely suitable with minor considerations | | **60-74%** | Moderate match - review carefully to ensure fit | | **Below 60%** | Lower match - may not fully meet your requirements | **Example:** * Query: "I need sentiment analysis training data" * Result A: 95% accuracy score → Best fit for your project * Result B: 54% accuracy score → May not be optimal for sentiment analysis *** ## Ask AI Feature For personalised assistance, use our [**Ask AI**](https://www.opendatabay.com/ask-ai) feature. **What Ask AI does:** * Answers questions about datasets and pricing * Explains platform features and usage * Provides dataset recommendations with probability scores * Helps compare multiple datasets * Clarifies licensing and delivery methods **How to use it:** 1. Visit [opendatabay.com/ask](https://www.opendatabay.com/ask-ai) 2. Enter your question or describe your needs 3. Receive AI-powered recommendations with accuracy scores 4. Click through to view recommended datasets **Example queries:** * "What's the difference between General and Commercial AI licenses?" * "Show me image datasets under £500 for computer vision" * "Which dataset is best for training a customer churn prediction model?" *** ## Best Practices for Finding Datasets ### Be Specific * ❌ "I need data" * ✅ "I need labelled customer review data for sentiment analysis training" ### Include Key Details * Use case or application * Data modality (text, image, audio, etc.) * Budget range * Licensing requirements (commercial, research, etc.) * Geographic or industry focus ### Use Multiple Discovery Methods * Start with LLM recommendations for broad discovery * Refine with platform search for specific criteria * Use Ask AI for detailed comparisons ### Check Accuracy Scores * Prioritise datasets with 75%+ accuracy scores * Review lower-scoring options only if specific needs aren't met * Read full descriptions even for high-scoring matches *** ## Need Help? **Can't find what you're looking for?** * Use [**Ask AI**](https://www.opendatabay.com/ask-ai) for personalised assistance * Contact data providers directly through their listings * Reach out to **** for help with discovery *** **Pro Tip:** Datasets are continuously added to Opendatabay. If you don't find what you need today, check back regularly or request data product to be added via [**Request Data**](https://www.opendatabay.com/request-data) page *** # Purchase Types Opendatabay Marketplace - Purchase Types and Data Access Models Opendatabay enables flexible purchasing options, ***defined by data providers***, to meet diverse data needs. ## Available Purchase Types ### 1. One-Time Purchase Pay once to access a specific dataset, ideal for users who need immediate access without ongoing costs. **Best for:** * Single project requirements * Historical data analysis * One-off research needs * Budget-conscious purchases ### 2. Subscription Pay a recurring fee (monthly or annually) for continuous access to datasets, suitable for users who require regular updates and ongoing access. **Best for:** * Regularly updated datasets * Ongoing business intelligence * Long-term research projects * Teams needing consistent data access ### 3. Pay-Per-Use Pay based on the amount of data accessed or the number of API calls made, perfect for users who need flexible access without a long-term commitment. Usually these API calls are direct with the data provider. **Best for:** * Variable usage patterns * Testing and experimentation * Scalable data consumption * Cost-efficient access for occasional use ### 4. Data Reports Customised data reports tailored to specific requirements, where pricing is determined per report, ideal for users seeking in-depth, specialised insights without the need to purchase raw data. **Best for:** * Executive summaries and insights * Custom analysis and visualisations * Market research reports * Specialised industry intelligence ### 5. Managed Access Continuous access to datasets stored on cloud platforms such as AWS, Azure, and Snowflake, with subscription-based or one-time payment models. This option is ideal for businesses and analysts who need consistent and extensive data access for ongoing projects. This could also apply where access is given to data dashboards and platforms. **Best for:** * Enterprise data integration * Cloud-native architectures * Large-scale data operations * Dashboard and platform access ### 6. Data Licenses Some datasets may be available under specific licenses (e.g., General AI Training and Fine-tuning Data License, Commercial AI Training and Fine-tuning Data License) that dictate the terms of use and access, which can be purchased based on the licensing agreement. **Best for:** * AI model training and fine-tuning * Machine learning development * Commercial AI applications * Research and academic projects **Learn more**: [AI Licensing Overview](https://github.com/Opendatabay/Docs/blob/main/for-data-buyers/ai-training-licenses/ai-licensing-overview.md) ### 7. Custom Arrangements Some data providers may offer unique purchasing options specified in the dataset description, allowing for specialised access or tailored purchasing arrangements. **Best for:** * Enterprise procurement processes * Specialised use cases * Negotiated terms and pricing * Bulk or volume purchases ### 8. Other Unique purchasing options specified by the data provider. Buyers should follow the instructions provided in the dataset description or contact the data provider directly through the Opendatabay platform. ## How to Choose the Right Purchase Type | Your Need | Recommended Purchase Type | | --------------------------------------- | ------------------------- | | One-off project or analysis | One-Time Purchase | | Regular data updates | Subscription | | Variable or unpredictable usage | Pay-Per-Use | | Custom insights without raw data | Data Reports | | Cloud integration and dashboards | Managed Access | | AI training and model development | Data Licenses | | Large-scale or specialised requirements | Custom Arrangements | ## Off-Platform Procurement Many enterprise procurement processes still work **off the platform**. If the standard purchase types don't meet your needs, contact the data provider directly through their listing to discuss: * Enterprise licensing agreements * Volume discounts * Custom delivery methods * Specialised support arrangements * Tailored compliance requirements ## Questions About Purchase Types? Each dataset listing clearly indicates which purchase types are available. If you have questions about pricing, access methods, or custom arrangements, contact the data provider directly through the Opendatabay platform or review the dataset description for specific instructions. *** **Need Help?** Contact Opendatabay support for assistance with purchase options and data provider connections. *** # Data Delivery Methods Opendatabay Marketplace - Data Delivery Methods Opendatabay supports multiple ways to deliver data from sellers to buyers, ensuring flexibility for different technical requirements and use cases. ## 1. Downloadable Package Direct file download after purchase completion. **How it works:** * Buyer completes purchase * Instant access to download link * Files delivered in formats like CSV, XLS, JSON, Parquet, ZIP, or PDF **Best for:** One-time data needs, offline analysis, local storage *** ## 2. Data Stream (API Access) Real-time data access via API endpoints. **How it works:** * Buyer receives API credentials * Makes API calls to retrieve data **Best for:** Real-time integration, continuous data sync, automated workflows *** ## 3. Data Reports Pre-generated or custom reports delivered as documents. **How it works:** * Buyer submits report request * Provider generates customised report * Delivered as PDF or interactive format **Best for:** Analysed insights, executive summaries, custom visualisations *** ## 4. Managed Access Access to data stored on cloud platforms. **How it works:** * Provider grants access credentials * Buyer connects to cloud storage (AWS, Azure, Snowflake, GCP) * Access via BI tools (Power BI, Tableau) or ODBC/JDBC connections **Best for:** Cloud infrastructure, enterprise warehouses, ongoing access *** ## 5. Custom Delivery Negotiated delivery method between buyer and seller. **How it works:** * Buyer and seller agree on specific delivery method * Options include FTP, direct database access, physical transfer, or enterprise platform integration * Opendatabay facilitates the arrangement **Best for:** Enterprise requirements, legacy systems, specialised security needs *** ## 6. Provider-Specified Unique delivery method outlined in dataset description. **How it works:** * Follow instructions in dataset listing * Contact provider for setup details **Best for:** Specialised formats, proprietary systems, niche requirements *** ## Delivery Method Selection Each dataset listing indicates available delivery methods. Choose based on your technical infrastructure and integration needs. **Questions?** Contact the data provider through the platform for delivery method details. *** # Compliance & Legal Opendatabay Marketplace - Compliance and Legal Information for Data Buyers ## Overview for Data Buyers As a data buyer on Opendatabay, it's important to understand your rights, responsibilities, and the legal framework governing data purchases. This page provides a summary of key compliance and legal considerations. For complete terms, please refer to our [full legal documentation](https://www.opendatabay.com/legal). ## Your Rights as a Data Buyer ### Data Quality and Accuracy Data providers on Opendatabay are responsible for ensuring that: * All datasets are accurate, complete, and lawful * Datasets match their descriptions * Any known limitations or biases are disclosed * Data format and structure align with documentation ### Data Provider Verification Opendatabay requires data providers to: * Be the original creator or have obtained necessary rights to sell the data * Collect data through legal and ethical means * Maintain proper records of data collection methods * Have authority to grant the licenses specified in listings ### Prohibited Data Types The following data types are **strictly prohibited** on Opendatabay: **Personal Information:** * Personally Identifiable Information (PII) without proper anonymisation * Email addresses, phone numbers, or contact databases * Social security numbers, government IDs * Medical records with PII * Financial information or credit card data **Restricted Sources:** * Data obtained without explicit consent * Scraped data violating terms of service * Stolen or illegally obtained datasets * Data under non-disclosure agreements **Harmful Content:** * Malicious code, malware, or viruses * Content promoting illegal activities * Discriminatory or hate-related content * Fraudulent or misleading data * Adult content or explicit material ## Your Responsibilities ### Due Diligence As a data buyer, you should: * Review dataset descriptions and documentation carefully * Verify that the data meets your specific requirements * Ensure your intended use complies with applicable laws * Report any suspected violations to Opendatabay ### Compliance with Laws You are responsible for ensuring your use of purchased data complies with: * **GDPR** (for EU-related data) * **CCPA** (for California-related data) * **Sector-specific regulations** (HIPAA, FERPA, etc.) * **Local data protection laws** in your jurisdiction * **AI-specific regulations** (EU AI Act, export controls) where applicable ### License Terms Each dataset purchase includes specific licensing terms that govern: * Permitted uses (training, analytics, commercial use, etc.) * Redistribution rights * Attribution requirements * Duration of access **Review license terms carefully before purchase.** See our [AI Licensing Overview](https://github.com/Opendatabay/Docs/blob/main/for-data-buyers/link-to-ai-licensing-overview/README.md) for AI training-specific licenses. ## Platform Guarantees and Limitations ### What Opendatabay Provides * A marketplace connecting data buyers and sellers * Platform for secure transactions * Basic verification of data provider accounts * Support for dispute resolution ### What Opendatabay Does NOT Guarantee * Accuracy, completeness, or suitability of datasets for specific purposes * That datasets are error-free or will meet your requirements * Specific outcomes or performance results from data use * Third-party content or linked external sources **Important:** Data licenses are granted **directly by data providers**, not by Opendatabay. We act as the conduit, not the licensor. ### Limitation of Liability * Information and materials are provided "as is" without warranty * You use datasets entirely at your own risk * Opendatabay is not liable for inaccuracies or errors to the fullest extent permitted by law * Your responsibility to verify that datasets meet your specific requirements ## Reporting Issues ### If You Encounter Problems Report the following issues immediately to : * Dataset contains prohibited data types (PII, malicious code, etc.) * Data quality significantly differs from description * Suspected intellectual property violations * Privacy law violations * Fraudulent or misleading listings ### Dispute Resolution If disputes arise between you and a data provider: * Contact Opendatabay support for assistance * Opendatabay acts as a neutral intermediary * Refunds may be considered based on terms of service * Legal disputes are subject to England and Wales law ## Key Terms Summary | Term | What It Means | | ----------------------- | ---------------------------------------------------- | | **Data Provider** | Individual or entity selling data on the platform | | **Data Consumer/Buyer** | You - the entity purchasing and using data | | **Listing** | Dataset available for purchase on the marketplace | | **License** | Legal agreement governing your use of purchased data | ## Privacy and Data Protection ### Platform Privacy * Opendatabay uses cookies to monitor browsing preferences * Your account and transaction information is stored securely * We may contact you regarding platform updates and operational matters * Opt-out options available for non-essential communications ### GDPR Compliance * Data providers must comply with GDPR for EU-related datasets * Users of Opendatabay have rights to access, rectify, and request to delete personal account data * Contact our Data Protection Officer for privacy concerns ## Governing Law All marketplace use and disputes are subject to the laws of **England, Northern Ireland, Scotland and Wales**. Disputes will be resolved in accordance with UK jurisdiction. ## Updates to Terms Opendatabay reserves the right to update terms at any time. Continued use of the platform constitutes acceptance of modifications. Data buyers will be notified of significant changes at least 30 days in advance. *** ## Full Legal Documentation For complete terms and conditions, please review: * [**Platform Terms of Service**](https://www.opendatabay.com/legal/terms) - General marketplace usage terms * [**Data Provider Rights and Responsibilities**](https://www.opendatabay.com/legal/right) - What sellers must guarantee * [**Listing Requirements**](https://www.opendatabay.com/legal/listing) - Dataset quality standards * [**Platform Fees**](https://www.opendatabay.com/legal/fees) - Commission structure and payment terms * [**AI Training Licenses**](https://github.com/Opendatabay/Docs/blob/main/for-data-buyers/link-to-ai-licensing-overview/README.md) - Specialised licenses for AI use cases *** ## Need Help? For compliance questions, legal clarifications, or to report violations: **Email:** **Registered Office:**\ Opendatabay Ltd\ 7 Hungate, Beccles\ NR349TT, United Kingdom\ Company Registration: 15711573 (England and Wales) *** **Last Updated:** December 31, 2025 *** # Data Providers Overview opendatabay.com/data-providers {% embed url="" %}
Data Providers page on Opendatabay

Data Providers page on Opendatabay

Data providers play a crucial role in the Opendatabay ecosystem by supplying high-quality datasets to the marketplace. Each provider has a dedicated profile page with their logo, banner, location, join date, and a comprehensive description.
Data provider profile page

Data provider profile page

Providers also share statistics like the number of data products available, total downloads, and recent sales. This transparency helps build trust and facilitates informed purchasing decisions. Additionally, providers offer contact options for assistance, licensing inquiries, and special dataset requests, along with a URL to their own site for further engagement.
Data Products

Listed Data Products

At the bottom of the data providers page, buyers can explore their data products, also known as Data Products. These product cards display essential details, including data product name, a brief description, category, type of purchase (e.g., one-off purchase, subscription, API), format (e.g., CSV), size, region (e.g., global), version information, and price in GBP. To learn more on how to set an appealing data provider profile, go to [Profile Setup](/for-data-providers/profile-setup) # Platform Fees and Pricing Opendatabay Marketplace - Platform Fees and Pricing Structure ## Transaction Fees and Charges Opendatabay applies a **tiered commission structure** on all **dataset sales, API calls, and data access fees**. The commission decreases as the transaction value increases, ensuring better rates for higher-value sales. After deducting the platform fee, the remaining balance is paid out to the Data Provider. **Please note**: * Opendatabay does **not charge any upfront listing fees**. Fees are applied **only on completed transactions**. * All fees are calculated per individual dataset, API call, or access transaction, **not cumulatively**. ### Platform Fee Table | Sale Price | Opendatabay Fee (%) | Seller Receives (%) | | ----------------- | ------------------- | ------------------- | | £1 - £100 | 30% | 70% | | £101 - £1,000 | 25% | 75% | | £1,001 - £10,000 | 20% | 80% | | £10,001 - £25,000 | 15% | 85% | | £25,001 - £50,000 | 10% | 90% | | £50,001 and above | 5% | 95% | **Example 2:** Selling a dataset for £2,500 → You receive £2,000 (80%), Opendatabay takes £500 (20%). **Example 3:** Selling a dataset for £12,000 → You receive £10,200 (85%), Opendatabay takes £1,800 (15%). **Example 4:** Selling a dataset for £60,000 → You receive £57,000 (95%), Opendatabay takes £3,000 (5%). *** ## Payment Terms ### Method of Payment Payments will be made via **bank transfer**. ### Currency All payments are made in **GBP (£)**. ### Payout Thresholds Payments are processed only when total earnings reach a **minimum of £100**. ### Disputes and Refunds In case of a dispute or refund request, payment may be withheld until the issue is resolved. ### Payment Details It is the responsibility of the Data Provider to provide **accurate payment details**. Opendatabay is not liable for payments sent to incorrect details. *** ## Fee Updates Opendatabay reserves the right to update commission rates or fees. Data Providers will be notified of any changes **at least 30 days in advance**. *** ## Tax Compliance The Data Provider is responsible for **declaring and paying any applicable taxes** on earnings from sales through the marketplace, in accordance with local tax regulations. *** ## Anti-Money Laundering (AML) Compliance The Data Provider must comply with their country's **AML laws and regulations**. Opendatabay may request verification documents to meet legal obligations and may **suspend payments** until the required documentation is provided. # Data Provider Onboarding Opendatabay Marketplace - Data Provider Onboarding Process Become a verified data provider on Opendatabay and start listing your datasets. The process takes 15-20 minutes to complete, with 1-2 business days for verification. ## Onboarding Steps ### 1. Create Your Account **Register at** [**Opendatabay**](https://www.opendatabay.com) **Recommended:** Use your **company domain email** (e.g., ) While Google and GitHub login options are available, company email ensures faster verification and establishes business credibility.
*** ### 2. Complete 3-Step Verification After registration, you'll complete a self-onboarding process: #### Step 1: Choose Your Role Select **"Data Provider (Seller)"**
#### Step 2: Business Information Provide: * Your role at the company * Company name and registration number * Company registered address * Website URL and social media handles * Business entity type * Phone number and sales email **Important:** We currently only accept **registered businesses** (Ltd, LLC, GmbH, etc.). Individual sellers and self-employed providers cannot list data products.
#### Step 3: Business Description Provide: * About Your Company - This description will be public on your profile ```javascript 'e.g. "We are a specialist automotive photography studio with 30 years of experience, working with major OEMs and insurers across Europe. \n \nNamed the leading studio by Auto Imagery Magazine (2023), featured in Forbes, and with an active YouTube channel showcasing our work at youtube.com/ourstudio. Our clients include BMW, Allianz, and LV= Insurance. \n \nWe own 100% of all imagery and hold signed model releases for all subjects. Full data provenance documentation is available on request."' ``` * Explain your data offering - This description will be used to verify your business 
'e.g. "We plan to list 3 data products under commercial AI training license, no third party rights apply.  \n \n20K high-res vehicle part images, object-labelled, ideal for computer vision and defect detection models. 10K high-res images of damaged vehicles, numberplates anonymised, suitable for insurance damage assessment and repair estimation models. 50K close-up paint and body panel images labelled by defect type (scratch, dent, corrosion), ideal for damage severity grading models.
* How did you hear about us ?
*** ### 3. Complete Your Profile After onboarding, you'll access your public profile page (not yet visible to others).
**Add:** * Company logo and banner image * Extended company description * Additional business details
**Click "Verify My Account"** to submit for review.
*** ### 4. Opendatabay Verification **What we verify:** * Company registration validity * Website and social media presence * Contact information accuracy (phone number, sales email) * Data product suitability * Compliance with platform policies **Timeline:** 1-2 business days *** ### 5. Start Listing Data Once approved, you'll receive an email confirmation, your profile becomes publicly visible, and you can start listing your data products. # Profile Setup Setting Up Your Data Provider Profile on Opendatabay

Data Provider profile visuals and sizes

To get started with your data provider profile on Opendatabay, follow these steps to ensure a complete and attractive profile setup. **1. Basic Information** * **Provider Name**: Enter the name of your organisation (Company Name) or data provider name. (Max 20 Characters) * **Description**: Provide a comprehensive description of your organisation (About), the type of data you offer, and any relevant background information. You can enhance your description using [Markdown](/for-data-providers/markdown-language) (.MD) language, which allows for better formatting and more options. For example, you can include: * **Headings**: Use `#` for headings. * **Bold and Italics**: Use `**bold**` or `_italic_` for emphasis. * **Lists**: Create bullet points with `-` or `*`. * **Links**: Add hyperlinks using `[text](url)`. **2. Visuals** * **Logo**: Upload your logo. Ensure it is in PNG, JPEG or WEBP format with dimensions of 800x800 pixels.

Profile Logo on Opendatabay Guides

* **Banner**: Upload a banner image that represents your brand. Ensure it is in PNG, JPEG or WEBP. The recommended size for the banner is 2560x800 pixels.

Profile Banner on Opendatabay Guides

**3. Location and Contact Details** * **Location**: Specify the geographic location of your organisation. Town and Country * **Contact Information**: Provide contact details for assistance, licensing inquiries, and dataset requests. * Email address * Website * Social Media. (LinkedIn, Twitter (X), Facebook, GitHub) **4. Profile Details** * **Join Date**: Automatically set when you create your profile. * **Statistics**: Automatically keeps track of key statistics such as: * Number of Data Products Listed * Total Downloads * Sales This Month # Creating high-quality Data Products Opendatabay Marketplace - Creating High-Quality Data Products AI teams in 2026 are no longer searching for more data, they seek **better information, scalable sources, and legal, licensed, high-quality datasets**. Here's how to create data products that sell.
## What Types of Data Sell Best on Opendatabay in 2026 The highest-demand datasets are: ### 1. Domain-Specific Text * Finance (market analysis, trading signals, financial reports) * Healthcare (clinical notes, medical literature, patient data) * Legal (contracts, case law, regulatory documents) * SaaS (user interactions, support tickets, usage patterns) * E-commerce (product descriptions, reviews, transaction data) ### 2. Audio Data * Filtered conversational data * Speech recognition training sets * Multi-speaker dialogues * Domain-specific voice data ### 3. Multi-Linguistic & Local Language Collections * Non-English language datasets * Regional dialects and variations * Low-resource language data * Translation pairs ### 4. Human-Annotated Data * Instruction-following examples * Preference data for RLHF * Human feedback datasets * Expert-labelled annotations ### 5. Clean Logs & Documentation * Well-organised system logs * API documentation * Technical specifications * Structured operational data ### 6. Multimedia for Generative AI * Images with detailed captions * Video with temporal annotations * Multi-modal datasets (text + image + audio) ### 7. Code Datasets * Programming language examples * Code-comment pairs * Repository data * Bug-fix patterns **Key Insight:** Quality, collection methods, and licensing are more important than raw volume or variety. *** ## Data Seller Playbook: 5-Step Framework ### 1. Audit Your Data Rights **Verify ownership and licensing rights:** ✅ **Confirm you can:** * Own the data outright OR have redistribution rights * License it for AI training purposes * Sell it commercially ✅ **Ensure ethical collection:** * Complies with regional regulations (GDPR, CCPA, etc.) * Collected with proper consent * No violation of terms of service * Clean provenance and sourcing **Buyers demand clean provenance.** If you can't prove ownership and ethical collection, don't list it. *** ### 2. Define the Use Case Clearly **Position your dataset like a software product:** * **Primary use case:** Fine-tuning? Evaluation? RAG? Pre-training? * **Target audience:** LLM developers? Computer vision teams? Researchers? * **Pain points it solves:** What problem does this data solve? * **Value proposition:** Why is this better than alternatives? **Build trust through clarity:** * Provide real-world examples * Share previous buyer testimonials * Include case studies if available * Show concrete applications *** ### 3. Package with Context **Transparency enhances perceived value.** **Include documentation on:** * **Collection methods:** How was the data gathered? * **Cleaning process:** What preprocessing was done? * **Data structure:** Schema, format, organisation * **Quality checks:** Validation and testing performed * **Limitations:** Known issues or biases * **Provenance:** Full data lineage **Golden Rule:** Never hide details. If information is unknown, explicitly state "Unknown" rather than omitting it. **Provide:** * Sample data or preview * Data dictionary or schema documentation * Use case examples * Quality metrics * Format specifications *** ### 4. Start with Flexible Pricing **Experiment to find market fit:** **Pricing Framework:** Calculate based on **labor hours to replicate:** * How long would it take to recreate this dataset? * How many data scientists/engineers would be needed? * What's the skill level required? **Example:** If replicating your dataset requires 2 data scientists working 10 hours each = 20 labor hours. Price accordingly based on market rates. **Pricing Strategies:** * **Tiered pricing:** Offer different sizes or access levels * **Bundle options:** Combine related datasets * **Subscription vs. one-time:** Test different models * **Early-bird discounts:** Build initial customer base \*\*Use marketplace \*\* * Monitor demand signals * Adjust based on buyer interest * A/B test different price points * Identify ideal customer segments *** ### 5. Iterate Based on Feedback **Early buyers reveal what AI teams truly need.** **Listen for signals:** * Direct questions: "Can you also include...?" * Feature requests: "Would be great if..." * Use case expansions: "We'd also use this for..." * Missing "Do you have data on...?" **Each buyer question signals:** * Missing datasets in the market * High-demand opportunities * Product improvement areas * New listing ideas **Continuous improvement:** * Refine descriptions based on questions * Add missing metadata or documentation * Create new datasets based on requests * Update listings with buyer insights *** ## Quality Checklist Before listing your data product, ensure: ### Documentation * [ ] Clear use case definition * [ ] Collection methods explained * [ ] Data structure documented * [ ] Sample data provided * [ ] Known limitations disclosed ### Legal & Compliance * [ ] Ownership verified * [ ] Licensing rights confirmed * [ ] Ethical collection validated * [ ] Regulatory compliance checked * [ ] Provenance documented ### Technical Quality * [ ] Data cleaned and validated * [ ] Consistent format and structure * [ ] Quality metrics calculated * [ ] Compatibility tested * [ ] Error handling documented ### Packaging * [ ] Appropriate file formats * [ ] Clear naming conventions * [ ] Metadata included * [ ] Version control implemented * [ ] Delivery method specified *** ## Common Mistakes to Avoid ## Common Mistakes to Avoid ❌ **Over-promising capabilities** - Be honest about limitations\ ❌ **Hiding collection methods** - Transparency builds trust\ ❌ **Pricing too high initially** - Start flexible, adjust based on demand\ ❌ **Ignoring buyer feedback** - Every question is market intelligence\ ❌ **Poor documentation** - Context is as valuable as the data itself\ ❌ **Unclear licensing** - Specify exactly what buyers can do\ ❌ **No use case examples** - Show, don't just tell ❌ **Vague "We do everything" listings** - Don't list one large description covering many areas with "We can do everything, contact us for more." Instead, list many specific data products for targeted use cases. Buyers want focused solutions, not vague promises. ❌ **Claiming "We are collecting the data" without having it** - Only list datasets you can deliver today. Buyers want immediate access, not future commitments. *** *** ## Success Factors **High-quality data products have:** ✅ **Specific Use Case** - Several smaller data products, each packaged for a dedicated audience. This improves data discovery and enables buyers to combine smaller products into larger custom bundles based on their specific needs ✅ **Clear provenance** - Buyers know exactly where data comes from\ ✅ **Strong documentation** - Complete context and metadata\ ✅ **Defined use cases** - Specific problems it solves\ ✅ **Ethical collection** - Compliant and transparent methods\ ✅ **Appropriate licensing** - Clear terms for AI training\ ✅ **Quality metrics** - Validated and scored\ ✅ **Responsive seller** - Quick answers to buyer questions *** ## Remember In 2026, **quality beats quantity**. AI teams will pay premium prices for: * Well-documented datasets * Clean provenance and ethical sourcing * Clear licensing for commercial use * Domain-specific, curated data * Datasets that save preprocessing time **Need help creating high-quality data products?** Opendatabay offers a paid service to help you identify use cases, define target audiences, bundle data products effectively, and optimise listings for maximum discoverability and sales. Focus on creating data products that solve real problems, list on Opendatabay and the market will reward you. # Listing Data Product Setting Up Your Data Product Listing on Opendatabay To effectively create your data product listing page on Opendatabay, ensure all required fields are completed. Here’s a guide to help you through the process:
### **Step 1/2**
**Required Fields** 1. **Name** **Field**: Data Product Name (**Example**: 20k Hours Real Interview Video Conversations for AI Training) 2. **Master Category** **Field**: Select the most appropriate master category for your listing from the following list: ```` ```xml Uncategorised Synthetic Data AI/ML Training & NLP Data Healthcare Data Financial Data Web & Social Media Data Consumer & Product Data Science & Research Data Government & Public Data Premium Data (All Subcategories)', ``` ```` 3. **Listing Sub Category** **Field**: Select the most appropriate subcategory for your listing, this will help buyers find your listing more easily. 4. **Tags and Related Searches** **Field**: Search Tags (**Example**: Synthetic, Corpora, Labelled, Human curated) ### **Step 2/2**
1. **Data Delivery Method** **Field** Select the delivery method for your data product (e.g., One-off download, API access, Subscription-based access) 2. **Data License** **Field** Select the appropriate license for your data product (e.g., CC BY-SA 4.0, Opendatabay General AI Training License, Opendatabay Commercial AI Training License) 3. **AI Training and LLM Use License** **Field** Select the appropriate AI training license for your data product (e.g., Opendatabay General AI Training License, Opendatabay Commercial AI Training License) 4. **Geography Region** **Field:** Select the geographic region relevant to your data product (e.g., Global, Europe, North America, Asia-Pacific) ### Finalising Data product listing Click on the newly created data product and select **Edit Details**\ This will allow you to finish data product setup, upload the image and data.
1. **Data Product Promo Image** * **Field**: Upload a promotional image for your listing. * **Format**: PNG, JPEG, WEBP * **Dimensions**: 600x400 pixels

Listing Promo Image

**Description** **About**: Provide a detailed description of your data product.

Listing Description Guides

* **Guidance**: The description can be written in Markdown language (.MD) for better formatting and more options. * **Example**: ```markdown # My Data Product Name This dataset includes comprehensive data on global tourism trends. It covers the following aspects: - **Data Points**: Visitor numbers, spending patterns, popular destinations, seasonal variations - **Features**: High-resolution data, updated quarterly, demographic breakdowns, geospatial data - **Usage**: Market analysis, trend forecasting, business strategy development, academic research - **Coverage**: Global, with a specific focus on top 20 tourist destinations - **License**: Open Data License, allowing free use, redistribution, and modification with attribution - **AI Training License**: Explain your AI training license or choose from Opendatabay's AI training licenses (General or Commercial) based on your use case and target audience. ``` **Dataset Information** * **License**: Specify the dataset's license (e.g., CC BY-SA 4.0) See [Licenses](broken://pages/YWOAXpB2AfQxTKXcJP48) for more information * **Region**: Specify the dataset's region (e.g., Global, Europe, North America) * **Dataset Type**: Specify the dataset's type (e.g., Textual, Images, Videos) **Additional Information** * **Format**: CSV, ZIP, PDF, MP4, OGG, JPEG, PNG, etc. * **Size**: Total size of the dataset (e.g., 10 GB) * **Records**: Number of records, Lines, Files in the bundle (e.g., 27 million, 20k hours of video, 500k images) * **Updated**: Date of last update ( e.g., dd/mm/yyyy) * **Purchase type**: Type of purchase ( eg., One-off purchase, API, Subscription) Final Steps 1. **Review All Information**: Ensure all fields are accurately filled out and all required information fields are populated. 2. **Save**: Once reviewed, save your data product
## List For Sale Click on your listing and select List For Sale
Confirm that you have the right to list and sell data\ Agree to the listing terms and conditions\ Confirm that you are familiar with platform listing fees and charges\ Set the price in GBP and list your product for sale.
By following these steps, you will create a detailed, visually appealing, and professional data product page that attracts buyers and facilitates smooth transactions on Opendatabay. # Markdown Language This Markdown Language page will guide you through fundamental Markdown features that you can seamlessly integrate into the Provider profile About section and Data Product About section. ### Learn Markdown with Opendatabay #### Introduction Here, we'll explore some basic Markdown syntax to help you begin crafting your first About section, leveraging the useful features provided by Markdown language. **Markdown Code** ```` # A first-level heading ## A second-level heading ### A third-level heading This description supports Markdown language, please read the documentation to apply it correctly **This is bold text** *This is italic text* ``` This is code ``` The background color is `#ffffff` for light mode and `#000000` for dark mode. *** + Create a list by starting a line with `+`, `-`, or `*` + Sub-lists are made by indenting 2 spaces: - Marker character change forces a new list to start: * Item 1 + Item 2 + Very easy! ## Images ![Logo](https://static.opendatabay.com/logos/Opendatabay_logo_blue_noBg.png) *** Learn more about markdown at **[Opendatabay Documents](https://docs.opendatabay.com)** ```` **Markdown Preview** ### A first-level heading #### A second-level heading **A third-level heading** This description supports Markdown language, please read the documentation to apply it correctly **This is bold text** *This is italic text* Copy ``` This is code ``` The background color is `#ffffff` for light mode and `#000000` for dark mode. *** * Create a list by starting a line with `+`, `-`, or `*` * Sub-lists are made by indenting 2 spaces: * Marker character change forces a new list to start: * Item 1 * Item 2 * Very easy! **Images** ![Logo](https://static.opendatabay.com/logos/Opendatabay_logo_blue_noBg.png) *** Explore further information about Markdown in the [Markdown Guide](https://www.markdownguide.org/basic-syntax/). #### Support and Feedback If you encounter any issues, have questions, or wish to provide feedback about the Opendatabay Profile or Data Product Pages, please reach out to our support team at . We appreciate your feedback and are here to help with any inquiries you may have. [
](https://2435ghj424g6j.gitbook.io/gm/links/important-links) # AI Licensing Overview Opendatabay AI Training Data Licenses - Overview and Importance ## Why AI Training Licenses Matter Traditional data licenses were designed for analytics, reporting, and business intelligence, not for training artificial intelligence models. AI training creates unique legal challenges that standard data licenses don't address. ### For Data Sellers **AI training licenses protect you from:** * Unauthorised model training and fine-tuning on your data * Loss of control over how AI models use your datasets * Unclear terms around model outputs and derivative works * Missing revenue opportunities from AI-specific use cases * Compliance gaps with EU AI Act and emerging AI regulations ### For Data Buyers **AI training licenses give you clarity on:** * What you can actually do with trained models and outputs * Whether you can commercialise AI products built on the data * Rights to distribute model weights and embeddings * Your obligations under AI safety and transparency regulations * Protection from liability for downstream model behavior ## The Problem with Standard Data Licenses Traditional data licenses don't cover: * **Model ownership**: Who owns the trained AI model? * **Derivative works**: Can you share fine-tuned weights or embeddings? * **Reconstruction risks**: What if the model memorises training data? * **AI-specific compliance**: EU AI Act transparency, export controls for AI models * **Downstream liability**: Who's responsible when open-weight models are misused? **Result**: Legal uncertainty that slows innovation and creates risk for both parties. ## Opendatabay's Two AI Licenses Opendatabay provides **two specialised AI training licenses** designed to meet different needs while ensuring fairness and legal compliance. ### General AI Training and Fine-Tuning Data License **Best for**: Academic research, non-commercial projects, experimentation, and open-source model development. **Key Features:** * Non-commercial use only * Training, fine-tuning, and evaluation rights * Can publish research and benchmarks * Lower cost or free tier access * Educational and research-friendly terms **Ideal Users:** * Academic researchers and universities * Open-source AI communities * Students and educators * Non-profit organisations ### Commercial AI Training and Fine-Tuning Data License **Best for**: Commercial AI products, SaaS platforms, enterprise deployments, and revenue-generating models. **Key Features:** * Full commercial rights for models and outputs * Sublicensing rights for AI services * Can distribute model weights commercially * Clear liability protections for downstream use * EU AI Act and export control compliance built-in **Ideal Users:** * AI startups and scaleups * Enterprise AI teams * LLM developers and fine-tuners * Commercial AI service providers ## Key Differences at a Glance | Feature | General License | Commercial License | | ---------------------- | ------------------------ | -------------------- | | **Commercial Use** | ❌ No | ✅ Yes | | **Model Distribution** | Research only | ✅ Unlimited | | **AI Services/APIs** | ❌ No | ✅ Yes | | **Sublicensing** | ❌ No | ✅ Yes | | **Use Case** | Research & Learning, POC | Production & Revenue | ## What Both Licenses Cover Both Opendatabay AI licenses provide: ✅ **Clear training rights** for ML, LLMs, and agentic AI systems\ ✅ **Model ownership** clarity for licensees\ ✅ **Data protection** for licensors against redistribution\ ✅ **EU AI Act compliance** requirements and guidance\ ✅ **Export control** provisions for AI models\ ✅ **Fair liability limits** for both parties\ ✅ **Data deletion** and retention rules\ ✅ **Audit rights** to verify compliance ## Choosing the Right License ### Choose **General License** if you: * Are conducting academic or non-commercial research * Want to experiment with models before committing to commercial use * Are building open-source projects without revenue plans * Need lower-cost access for educational purposes ### Choose **Commercial License** if you: * Plan to sell AI products, services, or API access * Want to commercialise trained models or model weights * Need to sublicense AI capabilities to customers * Are building production AI systems for enterprise use * Require full legal protection for commercial deployment **Questions about which license is right for you?** Review the full license terms in the documentation or contact the data provider directly through the Opendatabay platform. # GENERAL AI TRAINING AND FINE-TUNING DATA LICENSE AI TRAINING AND FINE TUNING DATA LICENSE – GENERAL USE, VERSION 1.0 ## Version 1.0 *For internal AI training, evaluation, and research; not for commercial deployment or monetisation.* > **Platform-Specific License Notice:** > This License is issued by **Opendatabay** ([www.opendatabay.com](http://www.opendatabay.com)) to support both Data Suppliers and Data Buyers.\ > Its use outside the Opendatabay platform, or without Opendatabay’s knowledge and authorisation, is strictly prohibited.\ > This License applies to Data Products listed on Opendatabay or provided via the platform, including samples, previews, or full datasets. ### **1. Definitions** "**Data Product**": The collection of bundled and packaged data being licensed, which may include text, audio, images, video, raw or structured data, as described in the accompanying documentation, together with any provenance, transparency, or compliance information provided by the Licensor to support AI training, evaluation, and model documentation (e.g., model cards or safety assessments). "**Licensee**": The individual or entity receiving rights to use the Data Product under this License. "**Licensor / Data Provider**": The individual or entity that collected, prepared, and owns the Data Product and is granting this License. "**AI / ML / LLM**": Artificial Intelligence, Machine Learning, and Large Language Models, including neural networks or other model architectures trained or fine-tuned using the Data Product. "**Models**": Machine learning models created, trained, or fine-tuned using the Data Product. "**Derivative Works**": Outputs of Models, including model weights, embeddings, fine-tuned versions, or other representations derived from the Data Product. "**Outputs**": Model predictions, generated text, audio, embeddings, or other results produced using the Data Product. "**Permitted Uses**": Activities expressly allowed under this License, including Training, Fine-Tuning, Evaluation, and Research purposes. **Commercial deployment, external SaaS offerings, or monetisation of Outputs are strictly prohibited under this General Use license.** "**Order**": The purchase agreement, invoice, or transaction record that specifies the Data Product being licensed, pricing, payment terms, Effective Date, and contact information for both parties. "**Effective Date**": The date specified in the Order when this License becomes effective, typically the date of purchase or payment confirmation. ### **2. License Grant and Scope (Permitted Uses)** #### 2.1 License Grant The Licensor grants the Licensee a non-exclusive, worldwide, perpetual (subject to termination rights in Section 10) right to use this Data Product **solely for internal research, evaluation, and educational purposes**. The Licensee may: * Train or fine-tune models, including LLMs and AI agents, AI applications and systems **for internal use only**. * Create and use model outputs, embeddings, weights, or other Derivative Works **strictly for non-commercial purposes**. * Evaluate models and publish research or benchmarks **without redistributing the Data Product**. **Commercial deployment, use in production API services, or any form of monetisation is NOT permitted.** #### 2.2 Licensor Representations The Licensor represents and warrants that: * It has the rights and authority necessary to license the Data Product for the Permitted Uses. * The Data Product was collected and provided in compliance with applicable data protection and related laws (including, where applicable, GDPR, EU AI Act and similar regimes). * The Licensor has used commercial best practices and reasonable technical measures to filter and exclude personal data/PII or special category sensitive data from the Data Product. * The Licensor is not aware of any malware, viruses, or malicious code in the Data Product. * The Data Product has been prepared with reasonable care and professional standards for AI training purposes. * To the best of Licensor’s knowledge, the Data Product has not been intentionally altered to include ‘poisoned’ samples, trigger phrases, or adversarial inputs designed to compromise the alignment or security of resulting Models. The Licensor does not warrant that the Data Product is free from all third-party claims, nor that Licensee’s specific use of the Data Product, Models, or Derivative Works will be lawful in all jurisdictions or for all intended use cases. The Licensor does not guarantee specific model performance or outcomes. ### **3. Restrictions (Prohibited Uses)** This license covers internal research, evaluation, and educational use only. #### 3.1 Prohibited Activities Licensee may not: * **Use the Data Product, Models, or Derivative Works for any commercial purposes, monetisation, or deployment in external-facing AI services.** * Resell, redistribute, or sublicense the Data Product itself. * Intentionally remove, obscure, or alter any digital watermarks, cryptographic signatures, or provenance metadata embedded within the Data Product. These markers are essential for verifying ethical sourcing and supply chain integrity. * Use the Data Product in ways that violate applicable laws or regulations, including discrimination, unlawful surveillance, or other prohibited applications. #### 3.2 Separate Licensing for Commercial Use For uses involving commercial deployment, monetisation, or external distribution of Models, **Licensee must obtain a Commercial Use License** from the Licensor. ### **4. Models, Derivatives, and Redistribution Rights** #### 4.1 Rights Granted Licensee may create Models using the Data Product, including training, fine-tuning, or evaluating AI, ML, LLMs, and agentic AI systems. Licensee is granted a non-exclusive, worldwide, and perpetual right to: * Use Model outputs (predictions, text, audio, embeddings, images, or other results) **for internal research or educational purposes only**. * Create and use Derivative Works such as fine-tuned weights, embeddings, or model variants **for internal purposes**. * Evaluate Models and publish benchmarks or performance results, provided that the Data Product itself is not disclosed. #### 4.2 Restrictions on Data Product Redistribution Licensee may not redistribute or sublicense the original Data Product itself. #### 4.3 Sharing of Models and Derivative Works Licensee may share Models and Derivative Works **only within the Licensee’s organisation** for research or educational purposes. External distribution is prohibited unless the underlying Data Product is not exposed and the distribution is strictly non-commercial (e.g., academic collaboration). **Safe Harbor for Model Outputs:** The inadvertent, non-systematic reproduction of insignificant portions of the Data Product by a Model (e.g., through overfitting or stochastic generation) shall not constitute a breach of this Section, provided that the Licensee has not intentionally engineered the Model to act as a database or substitute for the Data Product. #### 4.4 Responsibilities and Liability Licensee is responsible for its own use of Models and Derivative Works. While Licensee may release Derivative Works (such as Model Weights) for non-commercial research, Licensee acknowledges they are solely responsible for implementing ‘defence-in-depth’ safeguards and ensuring such releases comply with applicable Frontier AI Safety Frameworks. ### **5. Compliance Obligations** #### 5.1 Legal and Regulatory Compliance Licensee must comply with all applicable laws, including: * GDPR and other data protection regulations * EU AI Act transparency and documentation requirements * Export control regulations (see Section 5.2) * Copyright and intellectual property laws * Anti-discrimination and human rights laws #### 5.2 Export Control and Sanctions Compliance Licensee represents that it is not subject to trade sanctions or export restrictions under applicable law. Licensee will not use the Data Product or Models in violation of export control laws including U.S. Export Administration Regulations (EAR), International Traffic in Arms Regulations (ITAR), or equivalent regulations. #### 5.3 Data Security and Protection Licensee must implement appropriate technical and organisational measures to protect the Data Product from unauthorised access, disclosure, or misuse. #### 5.4 High-Risk AI Systems Licensee may not use the Data Product for high-risk AI systems in production environments under this license. #### 5.5 EU AI Act Transparency Requirements For general-purpose AI models covered by EU AI Act Article 53, Licensee acknowledges responsibility for publishing training data summaries where applicable. ### **6. Data Retention, Deletion, and Audit** #### 6.1 Retention Licensee may keep copies of the Data Product only as long as needed for internal training, evaluation, or research, and in line with applicable laws. #### 6.2 Deletion Upon termination of this License (subject to Section 10.2) or written request from the Licensor, Licensee must promptly delete or irreversibly anonymise all copies of the Data Product, except for copies retained in standard backup systems that are scheduled for automatic deletion within a reasonable timeframe. #### 6.3 Models & Derivatives Licensee may retain Models, Derivative Works, logs, and metadata indefinitely, provided the Data Product itself cannot be reconstructed from these materials. #### 6.4 Audit Rights Where Licensor has reasonable suspicion of material breach of this License, Licensor may request reasonable evidence of compliance (e.g., deletion records, data retention policies, or security measures) no more than once per year, with sixty (60) days’ advance written notice. ### **7. Intellectual Property, Attribution, and Trademarks** #### 7.1 Ownership of Data Product The Data Product, including all content, metadata, and structure, is owned by the Licensor. Except for the rights granted under this License, no ownership or interest in the Data Product is transferred to the Licensee. #### 7.2 Ownership of Models and Derivative Works Licensee owns Models and Derivative Works it lawfully creates using the Data Product, but this ownership does not include or extend to the Data Product itself. #### 7.3 Attribution Neither party may publicly reference the other party or disclose the other party’s use of the Data Product or this licensing relationship without explicit written consent, except as required by law or regulation. #### 7.4 Trademarks and Branding All Licensor trademarks, logos, and trade names remain the property of the Licensor. Licensee may not use them in ways that imply endorsement, sponsorship, or partnership without separate written permission. ### **8. Warranty Disclaimer and Liability Limits** #### 8.1 Limited Data and IP Warranty Licensor warrants that it has the right to license the Data Product under this License and that the Data Product was not obtained in violation of applicable law. Licensor does not warrant that the Data Product is free from all third-party claims, nor that Licensee’s specific use of the Data Product will be lawful in all jurisdictions. #### 8.2 No Other Warranties Except for the limited warranties set out in Section 8.1, the Data Product is provided “as is” and “as available.” To the fullest extent permitted by law, Licensor disclaims all other warranties, whether express or implied. #### 8.3 No Guarantee of Results Licensor does not guarantee any specific outcomes, performance, or results arising from the use of the Data Product. #### 8.4 Limitation of Liability To the fullest extent permitted by applicable law, each party’s total aggregate liability to the other for all claims arising out of or relating to this License will not exceed the greater of: (a) the total amounts paid by Licensee for the Data Product under this License; or (b) any fixed liability cap specified in the Order or applicable commercial terms. #### 8.5 Exclusion of Certain Damages To the fullest extent permitted by law, neither party will be liable to the other for any indirect, incidental, consequential, special, punitive, or exemplary damages. ### **9. Indemnification** #### 9.1 Licensor Indemnification Licensor agrees to indemnify, defend, and hold harmless Licensee from and against any third-party claims, damages, losses, or expenses (including reasonable attorneys’ fees) arising from Licensor’s breach of the warranties in Section 8.1, provided that: * Licensee promptly notifies Licensor in writing of the claim. * Licensor has sole control of the defense and settlement of the claim. * Licensee reasonably cooperates in the defense at Licensor’s expense. #### 9.2 Licensee Indemnification Licensee agrees to indemnify, defend, and hold harmless Licensor from and against any third-party claims, damages, losses, or expenses (including reasonable attorneys’ fees) arising from: * Licensee’s use of the Data Product, Models, or Derivative Works in violation of this License (including unauthorised Commercial Use). * Licensee’s violation of applicable laws or regulations. ### **10. Term, Termination, and General Terms** #### 10.1 Term & Termination This License starts on the Effective Date and continues perpetually, subject to the following termination rights: * Either party may terminate for material breach if the breaching party fails to cure the breach within thirty (30) days of written notice. * Licensor may terminate immediately if required by applicable law or court order, or if Licensee’s use creates substantial legal, security, or compliance risks. #### 10.2 Effect of Termination **For termination due to Licensee’s material breach of payment obligations:** * All rights to use the raw Data Product end immediately. * Licensee must delete the Data Product as per Section 6.2. * Licensee may retain and continue to use Models and Derivative Works created prior to termination, provided that Licensee cures the payment breach (including any applicable interest) within thirty (30) days of termination. **For all other termination scenarios:** * All rights to use the Data Product end immediately. * Deletion/anonymisation obligations in Section 6.2 apply. * Licensee may continue to use Models and Derivative Works created before termination under the terms of this License. * Sections 4.4, 7, 8, 9, and 10 survive termination. #### 10.3 Governing Law & Jurisdiction This License is governed by the laws of England and Wales, without regard to conflict of law principles. Any disputes arising out of or relating to this License shall be resolved exclusively in the courts of London, England. #### 10.4 Notices All notices under this License must be in writing and sent to the contact information specified in the Order. Notices may be delivered by email (with read receipt or confirmation), registered mail, or courier service. #### 10.5 Assignment Licensee may not assign, transfer, or delegate its rights or obligations under this License without Licensor’s prior written consent, which shall not be unreasonably withheld. #### 10.6 Entire Agreement and Amendments This License, together with the Order, constitutes the entire agreement between the parties regarding the Data Product and supersedes all prior agreements. This License may only be amended by a written document signed by both parties. #### 10.7 Severability If any provision of this License is held to be invalid, illegal, or unenforceable, the remaining provisions shall continue in full force and effect. #### 10.8 Waiver No failure or delay by either party in exercising any right under this License constitutes a waiver of that right. #### 10.9 Platform Third-Party Beneficiary The parties acknowledge that this License is facilitated by Opendatabay. The parties agree that Opendatabay is a third-party beneficiary of this License solely for the purposes of enforcing the prohibition on off-platform transactions or circumvention of Platform fees (if applicable under Opendatabay’s Terms of Service). ### **END OF LICENSE** This license provides balanced protection for both data sellers and buyers, with clear definitions, fair termination provisions, symmetric confidentiality, proportional liability, and compliance with current AI regulations including EU AI Act requirements and export control considerations. > © \[2026] Opendatabay. All Rights Reserved. This license is the proprietary intellectual property of Opendatabay. It is licensed for use solely for transactions facilitated by or authorised by Opendatabay. Unauthorised reproduction, modification, or distribution of this legal text for use on competing platforms or external transactions without Opendatabay’s express written consent is strictly prohibited and may result in legal action. # COMMERCIAL AI TRAINING AND FINE-TUNING DATA LICENSE AI TRAINING AND FINE TUNING DATA LICENSE – COMMERCIAL USE, VERSION 1.0 ## Version 1.0 *For production AI systems, SaaS, APIs, and monetised outputs.* > **Platform-Specific License Notice:** > This License is issued by **Opendatabay** ([www.opendatabay.com](http://www.opendatabay.com)) to support both Data Suppliers and Data Buyers.\ > Its use outside the Opendatabay platform, or without Opendatabay’s knowledge and authorisation, is strictly prohibited.\ > This License applies to Data Products listed on Opendatabay or provided via the platform, including samples, previews, or full datasets. ### **1. Definitions** "**Data Product**": The collection of bundled and packaged data being licensed, which may include text, audio, images, video, raw or structured data, as described in the accompanying documentation, together with any provenance, transparency, or compliance information provided by the Licensor to support AI training, evaluation, and model documentation (e.g., model cards or safety assessments). "**Licensee**": The individual or entity receiving rights to use the Data Product under this License. "**Licensor / Data Provider**": The individual or entity that collected, prepared, and owns the Data Product and is granting this License. "**AI / ML / LLM**": Artificial Intelligence, Machine Learning, and Large Language Models, including neural networks or other model architectures trained or fine-tuned using the Data Product. "**Models**": Machine learning models created, trained, or fine-tuned using the Data Product. "**Derivative Works**": Outputs of Models, including model weights, embeddings, fine-tuned versions, or other representations derived from the Data Product. "**Outputs**": Model predictions, generated text, audio, embeddings, or other results produced using the Data Product. "**Permitted Uses**": Activities expressly allowed under this License, including Training, Fine-Tuning, Evaluation, Commercial Use, and creation of Derivative Works. "**Order**": The purchase agreement, invoice, or transaction record that specifies the Data Product being licensed, pricing, payment terms, Effective Date, and contact information for both parties. "**Effective Date**": The date specified in the Order when this License becomes effective, typically the date of purchase or payment confirmation. ### **2. License Grant and Scope (Permitted Uses)** #### 2.1 License Grant The Licensor grants the Licensee a non-exclusive, worldwide, perpetual (subject to termination rights in Section 10) right to use this Data Product solely for training, fine-tuning, evaluating, and developing AI, ML, LLMs, and agentic AI systems. The Licensee may: * Train or fine-tune models, including LLMs and AI agents, AI applications and systems. * Create and use model outputs, embeddings, weights, or other Derivative Works. * Use resulting models, systems, applications and outputs commercially. #### 2.2 Licensor Representations The Licensor represents and warrants that: * It has the rights and authority necessary to license the Data Product for the Permitted Uses. * The Data Product was collected and provided in compliance with applicable data protection and related laws (including, where applicable, GDPR, EU AI Act and similar regimes). * The Licensor has used commercial best practices and reasonable technical measures to filter and exclude personal data/PII or special category sensitive data from the Data Product. * The Licensor is not aware of any malware, viruses, or malicious code in the Data Product. * The Data Product has been prepared with reasonable care and professional standards for AI training purposes. * To the best of Licensor’s knowledge, the Data Product has not been intentionally altered to include ‘poisoned’ samples, trigger phrases, or adversarial inputs designed to compromise the alignment or security of resulting Models. The Licensor does not warrant that the Data Product is free from all third-party claims, nor that Licensee’s specific use of the Data Product, Models, or Derivative Works will be lawful in all jurisdictions or for all intended use cases. The Licensor does not guarantee specific model performance or outcomes. ### **3. Restrictions (Prohibited Uses)** This license covers the following activities only: training, fine-tuning, evaluating, and developing AI, ML, LLM, and agentic AI systems. #### 3.1 Prohibited Activities Licensee may not: * Resell, redistribute, or sublicense the Data Product itself (see Section 4 for sublicensing of Models and Derivative Works). * Use the Data Product for non-AI purposes such as business analytics, market research, direct data distribution, or database compilation. * Intentionally remove, obscure, or alter any digital watermarks, cryptographic signatures, or provenance metadata embedded within the Data Product. These markers are essential for verifying ethical sourcing and supply chain integrity. * Use the Data Product in ways that violate applicable laws or regulations, including discrimination, unlawful surveillance, or other prohibited applications. #### 3.2 Separate Licensing for Other Uses For uses outside AI training/fine-tuning (e.g., analytics, visualisation, reporting, or general data services), contact Licensor for separate licensing terms. ### **4. Models, Derivatives, and Redistribution Rights** #### 4.1 Rights Granted Licensee may create Models using the Data Product, including training, fine-tuning, or evaluating AI, ML, LLMs, and agentic AI systems. Licensee is granted a non-exclusive, worldwide, and perpetual right to: * Use Model outputs (predictions, text, audio, embeddings, images, or other results) for any lawful purpose consistent with this License, including commercial use. * Create and use Derivative Works such as fine-tuned weights, embeddings, or model variants. * Evaluate Models and publish benchmarks or performance results, provided that the Data Product itself is not disclosed. #### 4.2 Restrictions on Data Product Redistribution Licensee may not redistribute or sublicense the original Data Product itself unless explicitly granted a separate license from the Licensor. #### 4.3 Sublicensing of Models and Derivative Works Licensee may sublicense or provide access to Models and Derivative Works created using the Data Product (including fine-tuned weights, embeddings, and AI-based services), provided that: * The underlying Data Product is not made available, exposed, or reasonably reconstructable. * All downstream recipients are informed that they receive no rights to the Data Product beyond those expressly granted in this License. * Any sharing of Derivative Works must not expose, reconstruct, or reveal the underlying Data Product. **Safe Harbor for Model Outputs:** The inadvertent, non-systematic reproduction of insignificant portions of the Data Product by a Model (e.g., through overfitting or stochastic generation) shall not constitute a breach of this Section, provided that the Licensee has not intentionally engineered the Model to act as a database or substitute for the Data Product. #### 4.4 Responsibilities and Liability Licensee is responsible for its own use of Models and Derivative Works and any direct downstream recipients to whom it sublicenses. Licensor acknowledges that once Models are released (particularly as open weights), Licensee cannot control all downstream usage and is not liable for unforeseeable third-party misuse beyond its reasonable control. While Licensee may release Derivative Works (such as Model Weights) commercially, Licensee acknowledges they are solely responsible for implementing ‘defence-in-depth’ safeguards and ensuring such releases comply with applicable Frontier AI Safety Frameworks. Licensor is not liable for downstream misuse of open-weight models derived from the Data Product. ### **5. Compliance Obligations** #### 5.1 Legal and Regulatory Compliance Licensee must comply with all applicable laws, including: * GDPR and other data protection regulations * EU AI Act transparency and documentation requirements, including Article 53 training data summaries where applicable * Export control regulations (see Section 5.2) * Copyright and intellectual property laws * Anti-discrimination and human rights laws #### 5.2 Export Control and Sanctions Compliance Licensee represents that it is not subject to trade sanctions or export restrictions under applicable law. Licensee will not use the Data Product or Models in violation of export control laws including U.S. Export Administration Regulations (EAR), International Traffic in Arms Regulations (ITAR), or equivalent regulations. Licensee acknowledges that AI models may generate outputs subject to export controls and is responsible for implementing appropriate compliance measures, including Technology Control Plans where foreign nationals access internal models. #### 5.3 Data Security and Protection Licensee must implement appropriate technical and organisational measures to protect the Data Product from unauthorised access, disclosure, or misuse. #### 5.4 High-Risk AI Systems For high-risk AI systems under EU AI Act or similar regulations, Licensee must maintain appropriate audit trails, bias assessments, and risk management documentation. #### 5.5 EU AI Act Transparency Requirements For general-purpose AI models covered by EU AI Act Article 53, Licensee acknowledges responsibility for publishing training data summaries using the official EU Commission template and respecting copyright reservations as required by law. Licensor will provide reasonable cooperation for such disclosures, subject to protection of trade secrets and confidential information. ### **6. Data Retention, Deletion, and Audit** #### 6.1 Retention Licensee may keep copies of the Data Product only as long as needed for training, evaluation, or development of Models, and in line with applicable laws. #### 6.2 Deletion Upon termination of this License (subject to Section 10.2) or written request from the Licensor, Licensee must promptly delete or irreversibly anonymise all copies of the Data Product, except for copies retained in standard backup systems that are scheduled for automatic deletion within a reasonable timeframe. #### 6.3 Models & Derivatives Licensee may retain Models, Derivative Works, logs, and metadata indefinitely, provided the Data Product itself cannot be reconstructed from these materials. #### 6.4 Audit Rights Where Licensor has reasonable suspicion of material breach of this License, Licensor may request reasonable evidence of compliance (e.g., deletion records, data retention policies, or security measures) no more than once per year, with sixty (60) days’ advance written notice. On-site audits, if needed and mutually agreed, are conducted at Licensor’s expense unless a material breach is discovered, in which case Licensee bears the costs. Audits are limited to deletion/retention records and compliance policies. Licensor shall have no access to proprietary Model architectures, business strategies, or other confidential business information beyond what is necessary to verify compliance with this License. ### **7. Intellectual Property, Attribution, and Trademarks** #### 7.1 Ownership of Data Product The Data Product, including all content, metadata, and structure, is owned by the Licensor. Except for the rights granted under this License, no ownership or interest in the Data Product is transferred to the Licensee. #### 7.2 Ownership of Models and Derivative Works Licensee owns Models and Derivative Works it lawfully creates using the Data Product, but this ownership does not include or extend to the Data Product itself. #### 7.3 Attribution Neither party may publicly reference the other party or disclose the other party’s use of the Data Product or this licensing relationship without explicit written consent, except as required by law or regulation. Licensee may choose to provide credit to the Licensor in public-facing materials (such as model cards or documentation), but is under no obligation to do so. No attribution should imply endorsement or sponsorship by Licensor without a separate written agreement. #### 7.4 Trademarks and Branding All Licensor trademarks, logos, and trade names remain the property of the Licensor. Licensee may not use them in ways that imply endorsement, sponsorship, or partnership without separate written permission. #### 7.5 Third-Party Rights Licensee is responsible for ensuring its use of Models or Derivative Works does not infringe third-party rights. This License covers only the Data Product; it does not grant rights to any third-party content included or referenced in the Data Product. ### **8. Warranty Disclaimer and Liability Limits** #### 8.1 Limited Data and IP Warranty Licensor warrants that: * It has the right to license the Data Product under this License. * The Data Product was not obtained in violation of applicable law or third-party intellectual property rights. * The Data Product has been prepared with reasonable care and professional standards for AI training purposes. Licensor does not warrant that the Data Product is free from all third-party claims, nor that Licensee’s specific use of the Data Product, Models, or Derivative Works will be lawful in all jurisdictions or for all intended use cases. Licensor does not guarantee specific model performance or outcomes. #### 8.2 No Other Warranties Except for the limited warranties set out in Section 8.1, the Data Product, and any related documentation, Models, or services, are provided “as is” and “as available.” To the fullest extent permitted by law, Licensor disclaims all other warranties, whether express or implied, including implied warranties of merchantability, fitness for a particular purpose, accuracy, completeness, non-infringement, or that the Data Product or Models will be error-free, uninterrupted, or suitable for any specific use. #### 8.3 No Guarantee of Results Licensor does not guarantee any specific outcomes, performance, or results arising from the use of the Data Product, including any Models or Derivative Works created using it. Licensee is responsible for assessing and validating the suitability, accuracy, and safety of the Data Product, Models, and outputs for its intended use, including compliance with applicable laws, regulations, and industry standards. #### 8.4 Limitation of Liability To the fullest extent permitted by applicable law, each party’s total aggregate liability to the other for all claims arising out of or relating to this License, the Data Product, or any related Models or services, whether in contract, tort, or otherwise, will not exceed the greater of: (a) the total amounts paid by Licensee for the Data Product under this License; or (b) any fixed liability cap specified in the Order or applicable commercial terms. This limitation applies in the aggregate to all claims and causes of action. #### 8.5 Exclusion of Certain Damages To the fullest extent permitted by law, neither party will be liable to the other for any indirect, incidental, consequential, special, punitive, or exemplary damages, including loss of profits, revenue, goodwill, data, or business interruption, even if such damages were foreseeable or the party was advised of their possibility. #### 8.6 Carve-Outs and Mandatory Legal Exceptions Nothing in this Section 8 limits or excludes liability that cannot be limited or excluded under applicable law, including liability for death or personal injury caused by negligence, or for fraud or fraudulent misrepresentation. The limitations and exclusions in Sections 8.4 and 8.5 do not apply to: (a) Licensee’s payment obligations; or (b) Either party’s indemnification obligations under Section 9, if applicable. Where liability cannot be excluded, the remaining limitations in this Section apply to the maximum extent permitted by law. ### **9. Indemnification** #### 9.1 Licensor Indemnification Licensor agrees to indemnify, defend, and hold harmless Licensee from and against any third-party claims, damages, losses, or expenses (including reasonable attorneys’ fees) arising from Licensor’s breach of the warranties in Section 8.1, provided that: * Licensee promptly notifies Licensor in writing of the claim. * Licensor has sole control of the defense and settlement of the claim. * Licensee reasonably cooperates in the defense at Licensor’s expense. This indemnification obligation does not apply to claims arising from Licensee’s modification of the Data Product, combination with other materials, or use outside the scope of Permitted Uses. #### 9.2 Licensee Indemnification Licensee agrees to indemnify, defend, and hold harmless Licensor from and against any third-party claims, damages, losses, or expenses (including reasonable attorneys’ fees) arising from: * Licensee’s use of the Data Product, Models, or Derivative Works in violation of this License. * Licensee’s violation of applicable laws or regulations. * Claims that Models or Derivative Works created by Licensee infringe third-party rights, except to the extent caused by the Data Product itself. Licensor must promptly notify Licensee in writing of the claim, allow Licensee sole control of the defense and settlement, and reasonably cooperate at Licensee’s expense. ### **10. Term, Termination, and General Terms** #### 10.1 Term & Termination This License starts on the Effective Date and continues perpetually, subject to the following termination rights: * Either party may terminate for material breach if the breaching party fails to cure the breach within thirty (30) days of written notice. * Licensor may terminate immediately if required by applicable law or court order, or if Licensee’s use creates substantial legal, security, or compliance risks that cannot be reasonably mitigated. #### 10.2 Effect of Termination **For termination due to Licensee’s material breach of payment obligations:** * All rights to use the raw Data Product end immediately. * Licensee must delete the Data Product as per Section 6.2. * Licensee may retain and continue to use Models and Derivative Works created prior to termination, provided that Licensee cures the payment breach (including any applicable interest) within thirty (30) days of termination. **For all other termination scenarios:** * All rights to use the Data Product end immediately. * Deletion/anonymisation obligations in Section 6.2 apply. * Licensee may continue to use Models and Derivative Works created before termination under the terms of this License. * Sections 4.4, 7, 8, 9, and 10 survive termination. #### 10.3 Governing Law & Jurisdiction This License is governed by the laws of England and Wales, without regard to conflict of law principles. Any disputes arising out of or relating to this License shall be resolved exclusively in the courts of London, England. #### 10.4 Notices All notices under this License must be in writing and sent to the contact information specified in the Order. Notices may be delivered by email (with read receipt or confirmation), registered mail, or courier service. Notices sent by email are deemed received upon confirmation of delivery. Notices sent by mail or courier are deemed received three (3) business days after sending (for domestic delivery) or seven (7) business days after sending (for international delivery). Each party is responsible for keeping its contact information current and notifying the other party promptly of any changes. #### 10.5 Assignment Licensee may not assign, transfer, or delegate its rights or obligations under this License without Licensor’s prior written consent, which shall not be unreasonably withheld. Licensor may assign this License to affiliates or in connection with a merger, acquisition, corporate reorganisation, or sale of substantially all assets related to the Data Product, provided the assignee agrees to be bound by this License. Any attempted assignment in violation of this section is void. #### 10.6 Entire Agreement and Amendments This License, together with the Order, constitutes the entire agreement between the parties regarding the Data Product and supersedes all prior agreements, understandings, and communications, whether written or oral. This License may only be amended by a written document signed by both parties. No other modifications, including terms in purchase orders or other business forms, shall have any effect. #### 10.7 Severability If any provision of this License is held to be invalid, illegal, or unenforceable, the remaining provisions shall continue in full force and effect. The invalid provision shall be reformed to the minimum extent necessary to make it valid and enforceable while preserving the parties’ original intent. #### 10.8 Waiver No failure or delay by either party in exercising any right under this License constitutes a waiver of that right. No waiver shall be effective unless made in writing and signed by the party granting the waiver. #### 10.9 Platform Third-Party Beneficiary The parties acknowledge that this License is facilitated by Opendatabay. The parties agree that Opendatabay is a third-party beneficiary of this License solely for the purposes of enforcing the prohibition on off-platform transactions or circumvention of Platform fees (if applicable under Opendatabay’s Terms of Service). ### **END OF LICENSE** This license provides balanced protection for both data sellers and buyers, with clear definitions, fair termination provisions, symmetric confidentiality, proportional liability, and compliance with current AI regulations including EU AI Act requirements and export control considerations. # APACHE 2.0 APACHE LICENSE, VERSION 2.0 {% embed url="" %} **Apache License** **Version 2.0, January 2004** [**http://www.apache.org/licenses/**](http://www.apache.org/licenses/) TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION **1. Definitions**. "**License**" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "**Licensor**" shall mean the copyright owner or entity authorised by the copyright owner that is granting the License. "**Legal Entity**" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "**control**" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "**You**" (or "**Your**") shall mean an individual or Legal Entity exercising permissions granted by this License. "**Source**" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "**Object**" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "**Work**" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "**Derivative Works**" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "**Contribution**" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorised to submit on behalf of the copyright owner. For the purposes of this definition, "**submitted**" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "**Not a Contribution.**" "**Contributor**" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. **2. Grant of Copyright License**. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. **3. Grant of Patent License**. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. **4. Redistribution**. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: 1. You must give any other recipients of the Work or Derivative Works a copy of this License; and 2. You must cause any modified files to carry prominent notices stating that You changed the files; and 3. You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and 4. If the Work includes a "**NOTICE**" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. **5. Submission of Contributions**. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. **6. Trademarks**. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. **7. Disclaimer of Warranty**. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. **8. Limitation of Liability**. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. **9. Accepting Warranty or Additional Liability**. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS # CC BY-NC-ND 4.0 DEED Creative Commons - Attribution-NonCommercial-NoDerivs 4.0 International {% embed url="" %} #### You are free to: 1. **Share** , copy and redistribute the material in any medium or format 2. The licensor cannot revoke these freedoms as long as you follow the license terms. #### Under the following terms: 1. **Attribution** - You must give [appropriate credit ](https://creativecommons.org/licenses/by-nc-nd/4.0/), provide a link to the license, and [indicate if changes were made ](https://creativecommons.org/licenses/by-nc-nd/4.0/). You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. 2. **NonCommercial** - You may not use the material for [commercial purposes ](https://creativecommons.org/licenses/by-nc-nd/4.0/). 3. **NoDerivatives** - If you [remix, transform, or build upon ](https://creativecommons.org/licenses/by-nc-nd/4.0/)the material, you may not distribute the modified material. 4. **No additional restrictions** - You may not apply legal terms or [technological measures ](https://creativecommons.org/licenses/by-nc-nd/4.0/)that legally restrict others from doing anything the license permits. #### Notices: You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable [exception or limitation ](https://creativecommons.org/licenses/by-nc-nd/4.0/). No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as [publicity, privacy, or moral rights ](https://creativecommons.org/licenses/by-nc-nd/4.0/)may limit how you use the material. # CC BY-NC-SA 4.0 DEED Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International {% embed url="" %} #### You are free to: 1. **Share** , copy and redistribute the material in any medium or format 2. **Adapt** , remix, transform, and build upon the material 3. The licensor cannot revoke these freedoms as long as you follow the license terms. #### Under the following terms: 1. **Attribution** - You must give [appropriate credit](https://creativecommons.org/licenses/by-nc-sa/4.0/), provide a link to the license, and [indicate if changes were made](https://creativecommons.org/licenses/by-nc-sa/4.0/). You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. 2. **NonCommercial** - You may not use the material for [commercial purposes](https://creativecommons.org/licenses/by-nc-sa/4.0/). 3. **ShareAlike** - If you remix, transform, or build upon the material, you must distribute your contributions under the [same license as the original](https://creativecommons.org/licenses/by-nc-sa/4.0/). 4. **No additional restrictions** - You may not apply legal terms or [technological measures](https://creativecommons.org/licenses/by-nc-sa/4.0/) that legally restrict others from doing anything the license permits. #### Notices: You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable [exception or limitation](https://creativecommons.org/licenses/by-nc-sa/4.0/). No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as [publicity, privacy, or moral rights](https://creativecommons.org/licenses/by-nc-sa/4.0/) may limit how you use the material. # CC0 1.0 DEED Creative Commons - CC0 1.0 DEED {% embed url="" %} #### No Copyright 1. The person who associated a work with this deed has dedicated the work to the public domain by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighbouring rights, to the extent allowed by law. 2. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information below. #### Other Information 1. In no way are the patent or trademark rights of any person affected by CC0, nor are the rights that other persons may have in the work or in how the work is used, such as [publicity or privacy ](https://wiki.creativecommons.org/Frequently_Asked_Questions#When_are_publicity_rights_relevant.3F)rights. 2. Unless expressly stated otherwise, the person who associated a work with this deed makes no warranties about the work, and disclaims liability for all uses of the work, to the fullest extent permitted by applicable law. 3. When using or citing the work, you should not imply [endorsement ](https://creativecommons.org/publicdomain/zero/1.0/deed.en)by the author or the affirmer. **Other Rights** The use of a work free of known copyright restrictions may be otherwise regulated or limited. The work or its use may be subject to personal data protection laws, publicity, image, or privacy rights that allow a person to control how their voice, image or likeness is used, or other restrictions or limitations under applicable law. [Learn more](https://wiki.creativecommons.org/Frequently_Asked_Questions#When_are_publicity_rights_relevant.3F) **Endorsement** In some jurisdictions, wrongfully implying that an author, publisher or anyone else endorses your use of a work may be unlawful. [Learn more](https://wiki.creativecommons.org/Frequently_Asked_Questions#Do_I_need_to_be_aware_of_anything_else_when_providing_attribution_or_credit.3F) **Citation** Copy and paste the HTML provided into your webpage to easily cite this work. [Learn more](https://wiki.creativecommons.org/CC0_FAQ#Do_I_have_to_attribute_the_person_who_applied_CC0_to_their_work.3F) **Who is the affirmer?** The affirmer is the person who surrendered rights to work worldwide using CC0, to the extent allowable by law. It may be the original author of the work or another person who may have had some copyright or related or neighbouring legal rights in the work. # GPL-2 GNU GENERAL PUBLIC LICENSE {% embed url="" %} Version 2, June 1991 Copy ``` Copyright (C) 1989, 1991 Free Software Foundation, Inc. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. ``` **Preamble** The licenses for most software are designed to take away your freedom to share and change it. By contrast, the GNU General Public License is intended to guarantee your freedom to share and change free software--to make sure the software is free for all its users. This General Public License applies to most of the Free Software Foundation's software and to any other program whose authors commit to using it. (Some other Free Software Foundation software is covered by the GNU Lesser General Public License instead.) You can apply it to your programs, too. When we speak of free software, we are referring to freedom, not price. Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software (and charge for this service if you wish), that you receive source code or can get it if you want it, that you can change the software or use pieces of it in new free programs; and that you know you can do these things. To protect your rights, we need to make restrictions that forbid anyone to deny you these rights or to ask you to surrender the rights. These restrictions translate to certain responsibilities for you if you distribute copies of the software, or if you modify it. For example, if you distribute copies of such a program, whether gratis or for a fee, you must give the recipients all the rights that you have. You must make sure that they, too, receive or can get the source code. And you must show them these terms so they know their rights. We protect your rights with two steps: (1) copyright the software, and (2) offer you this license which gives you legal permission to copy, distribute and/or modify the software. Also, for each author's protection and ours, we want to make certain that everyone understands that there is no warranty for this free software. If the software is modified by someone else and passed on, we want its recipients to know that what they have is not the original, so that any problems introduced by others will not reflect on the original authors' reputations. Finally, any free program is threatened constantly by software patents. We wish to avoid the danger that redistributors of a free program will individually obtain patent licenses, in effect making the program proprietary. To prevent this, we have made it clear that any patent must be licensed for everyone's free use or not licensed at all. The precise terms and conditions for copying, distribution and modification follow. **TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION** **0.** This License applies to any program or other work which contains a notice placed by the copyright holder saying it may be distributed under the terms of this General Public License. The "Program", below, refers to any such program or work, and a "work based on the Program" means either the Program or any derivative work under copyright law: that is to say, a work containing the Program or a portion of it, either verbatim or with modifications and/or translated into another language. (Hereinafter, translation is included without limitation in the term "modification".) Each licensee is addressed as "you". Activities other than copying, distribution and modification are not covered by this License; they are outside its scope. The act of running the Program is not restricted, and the output from the Program is covered only if its contents constitute a work based on the Program (independent of having been made by running the Program). Whether that is true depends on what the Program does. **1.** You may copy and distribute verbatim copies of the Program's source code as you receive it, in any medium, provided that you conspicuously and appropriately publish on each copy an appropriate copyright notice and disclaimer of warranty; keep intact all the notices that refer to this License and to the absence of any warranty; and give any other recipients of the Program a copy of this License along with the Program. You may charge a fee for the physical act of transferring a copy, and you may at your option offer warranty protection in exchange for a fee. **2.** You may modify your copy or copies of the Program or any portion of it, thus forming a work based on the Program, and copy and distribute such modifications or work under the terms of Section 1 above, provided that you also meet all of these conditions: **a)** You must cause the modified files to carry prominent notices stating that you changed the files and the date of any change.**b)** You must cause any work that you distribute or publish, that in whole or in part contains or is derived from the Program or any part thereof, to be licensed as a whole at no charge to all third parties under the terms of this License.**c)** If the modified program normally reads commands interactively when run, you must cause it, when started running for such interactive use in the most ordinary way, to print or display an announcement including an appropriate copyright notice and a notice that there is no warranty (or else, saying that you provide a warranty) and that users may redistribute the program under these conditions, and telling the user how to view a copy of this License. (Exception: if the Program itself is interactive but does not normally print such an announcement, your work based on the Program is not required to print an announcement.) These requirements apply to the modified work as a whole. If identifiable sections of that work are not derived from the Program, and can be reasonably considered independent and separate works in themselves, then this License, and its terms, do not apply to those sections when you distribute them as separate works. But when you distribute the same sections as part of a whole which is a work based on the Program, the distribution of the whole must be on the terms of this License, whose permissions for other licensees extend to the entire whole, and thus to each and every part regardless of who wrote it. Thus, it is not the intent of this section to claim rights or contest your rights to work written entirely by you; rather, the intent is to exercise the right to control the distribution of derivative or collective works based on the Program. In addition, mere aggregation of another work not based on the Program with the Program (or with a work based on the Program) on a volume of a storage or distribution medium does not bring the other work under the scope of this License. **3.** You may copy and distribute the Program (or a work based on it, under Section 2) in object code or executable form under the terms of Sections 1 and 2 above provided that you also do one of the following: **a)** Accompany it with the complete corresponding machine-readable source code, which must be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or,**b)** Accompany it with a written offer, valid for at least three years, to give any third party, for a charge no more than your cost of physically performing source distribution, a complete machine-readable copy of the corresponding source code, to be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or,**c)** Accompany it with the information you received as to the offer to distribute corresponding source code. (This alternative is allowed only for noncommercial distribution and only if you received the program in object code or executable form with such an offer, in accord with Subsection b above.) The source code for a work means the preferred form of the work for making modifications to it. For an executable work, complete source code means all the source code for all modules it contains, plus any associated interface definition files, plus the scripts used to control compilation and installation of the executable. However, as a special exception, the source code distributed need not include anything that is normally distributed (in either source or binary form) with the major components (compiler, kernel, and so on) of the operating system on which the executable runs, unless that component itself accompanies the executable. If distribution of executable or object code is made by offering access to copy from a designated place, then offering equivalent access to copy the source code from the same place counts as distribution of the source code, even though third parties are not compelled to copy the source along with the object code. **4.** You may not copy, modify, sublicense, or distribute the Program except as expressly provided under this License. Any attempt otherwise to copy, modify, sublicense or distribute the Program is void, and will automatically terminate your rights under this License. However, parties who have received copies, or rights, from you under this License will not have their licenses terminated so long as such parties remain in full compliance. **5.** You are not required to accept this License, since you have not signed it. However, nothing else grants you permission to modify or distribute the Program or its derivative works. These actions are prohibited by law if you do not accept this License. Therefore, by modifying or distributing the Program (or any work based on the Program), you indicate your acceptance of this License to do so, and all its terms and conditions for copying, distributing or modifying the Program or works based on it. **6.** Each time you redistribute the Program (or any work based on the Program), the recipient automatically receives a license from the original licensor to copy, distribute or modify the Program subject to these terms and conditions. You may not impose any further restrictions on the recipients' exercise of the rights granted herein. You are not responsible for enforcing compliance by third parties to this License. **7.** If, as a consequence of a court judgment or allegation of patent infringement or for any other reason (not limited to patent issues), conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot distribute so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not distribute the Program at all. For example, if a patent license would not permit royalty-free redistribution of the Program by all those who receive copies directly or indirectly through you, then the only way you could satisfy both it and this License would be to refrain entirely from distribution of the Program. If any portion of this section is held invalid or unenforceable under any particular circumstance, the balance of the section is intended to apply and the section as a whole is intended to apply in other circumstances. It is not the purpose of this section to induce you to infringe any patents or other property right claims or to contest validity of any such claims; this section has the sole purpose of protecting the integrity of the free software distribution system, which is implemented by public license practices. Many people have made generous contributions to the wide range of software distributed through that system in reliance on consistent application of that system; it is up to the author/donor to decide if he or she is willing to distribute software through any other system and a licensee cannot impose that choice. This section is intended to make thoroughly clear what is believed to be a consequence of the rest of this License. **8.** If the distribution and/or use of the Program is restricted in certain countries either by patents or by copyrighted interfaces, the original copyright holder who places the Program under this License may add an explicit geographical distribution limitation excluding those countries, so that distribution is permitted only in or among countries not thus excluded. In such case, this License incorporates the limitation as if written in the body of this License. **9.** The Free Software Foundation may publish revised and/or new versions of the General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns. Each version is given a distinguishing version number. If the Program specifies a version number of this License which applies to it and "any later version", you have the option of following the terms and conditions either of that version or of any later version published by the Free Software Foundation. If the Program does not specify a version number of this License, you may choose any version ever published by the Free Software Foundation. **10.** If you wish to incorporate parts of the Program into other free programs whose distribution conditions are different, write to the author to ask for permission. For software which is copyrighted by the Free Software Foundation, write to the Free Software Foundation; we sometimes make exceptions for this. Our decision will be guided by the two goals of preserving the free status of all derivatives of our free software and of promoting the sharing and reuse of software generally. **NO WARRANTY** **11.** BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION. **12.** IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. **END OF TERMS AND CONDITIONS** **How to Apply These Terms to Your New Programs** If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms. To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively convey the exclusion of warranty; and each file should have at least the "copyright" line and a pointer to where the full notice is found. Copy ``` one line to give the program's name and an idea of what it does. Copyright (C) yyyy name of author This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. ``` Also add information on how to contact you by electronic and paper mail. If the program is interactive, make it output a short notice like this when it starts in an interactive mode: Copy ``` Gnomovision version 69, Copyright (C) year name of author Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. ``` The hypothetical commands \`show w' and \`show c' should show the appropriate parts of the General Public License. Of course, the commands you use may be called something other than \`show w' and \`show c'; they could even be mouse-clicks or menu items--whatever suits your program. You should also get your employer (if you work as a programmer) or your school, if any, to sign a "copyright disclaimer" for the program, if necessary. Here is a sample; alter the names: Copy ``` Yoyodyne, Inc., hereby disclaims all copyright interest in the program `Gnomovision' (which makes passes at compilers) written by James Hacker. signature of Ty Coon, 1 April 1989 Ty Coon, President of Vice ``` This General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the [GNU Lesser General Public License](https://www.gnu.org/licenses/lgpl.html) instead of this License. # ODC The Open Data Commons (ODC) {% embed url="" %} Database Contents License (DbCL) v1.0 **Disclaimer** Open Data Commons is not a law firm and does not provide legal services of any kind. Open Data Commons has no formal relationship with you. Your receipt of this document does not create any kind of agent-client relationship. Please seek the advice of a suitably qualified legal professional licensed to practice in your jurisdiction before using this document. No warranties and disclaimers of any damages. This information is provided ‘as is‘, and this site makes no warranties on the information provided. Any damages resulting from its use are disclaimed. A [plain text version](https://opendatacommons.org/licenses/dbcl/dbcl-10.txt) of the Database Contents License is available. *** #### Database Contents License (DbCL) The Licensor and You agree as follows: **1.0 DEFINITIONS OF CAPITALISED WORDS** The definitions of the Open Database License (ODbL) 1.0 are incorporated by reference into the Database Contents License. **2.0 RIGHTS GRANTED AND CONDITIONS OF USE** 2.1 Rights granted. The Licensor grants to You a worldwide, royalty-free, non-exclusive, perpetual, irrevocable copyright license to do any act that is restricted by copyright over anything within the Contents, whether in the original medium or any other. These rights explicitly include commercial use, and do not exclude any field of endeavour. These rights include, without limitation, the right to sublicense the work. 2.2 Conditions of Use. You must comply with the ODbL. 2.3 Relationship to Databases and ODbL. This license does not cover any Database Rights, Database copyright, or contract over the Contents as part of the Database. Please see the ODbL covering the Database for more details about Your rights and obligations. 2.4 Non-assertion of copyright over facts. The Licensor takes the position that factual information is not covered by copyright. The DbCL grants you permission for any information having copyright contained in the Contents. **3.0 WARRANTIES, DISCLAIMER, AND LIMITATION OF LIABILITY** 3.1 The Contents are licensed by the Licensor “as is” and without any warranty of any kind, either express or implied, whether of title, of accuracy, of the presence of absence of errors, of fitness for purpose or otherwise. Some jurisdictions do not allow the exclusion of implied warranties, so this exclusion may not apply to You. 3.2 Subject to any liability that may not be excluded or limited by law, the Licensor is not liable for, and expressly excludes, all liability for loss or damage however and whenever caused to anyone by any use under this License, whether by You or by anyone else, and whether caused by any fault on the part of the Licensor or not. This exclusion of liability includes, but is not limited to, any special, incidental, consequential, punitive, or exemplary damages. This exclusion applies even if the Licensor has been advised of the possibility of such damages. 3.3 If liability may not be excluded by law, it is limited to actual and direct financial loss to the extent it is caused by proved negligence on the part of the Licensor. # CUSTOM Custom Data License Documentation #### Overview Opendatabay Data Marketplace empowers data sellers to define and apply custom licenses to their datasets, allowing for flexibility and transparency in data transactions. This documentation provides a guide on how to create and apply custom data licenses to your datasets, ensuring that both sellers and buyers have a clear understanding of the terms and conditions associated with the data. 1. **Define License Terms:** * Clearly articulate the terms and conditions of the license. * Specify permitted uses, restrictions, and any other relevant clauses. 2. **Set Duration and Renewal Options:** * If applicable, specify the duration of the license. * Indicate whether the license can be renewed and any renewal conditions. 3. **Geographic Coverage:** * Define the geographic coverage to clarify where the data can be used. 4. **Attach to Dataset:** * After creating the custom license, send it to us at and we will attach it to your listing. #### Displaying Custom License on Marketplace 1. **Listing Datasets with Licenses:** * When listing your dataset on the Opendatabay Data Marketplace, select the custom license you created for that dataset. 2. **Buyer Visibility:** * Buyers can view the associated license for each dataset before making a purchase decision. 3. **License Information Page:** * Opendatabay provides a dedicated page where buyers can review the details of the custom license associated with a specific dataset. #### Understanding Custom Licenses 1. **Buyer Awareness:** * Buyers are made aware of the custom license terms before making a purchase. 2. **License Agreement Acceptance:** * Buyers must acknowledge and accept the terms of the custom license during the purchasing process. 3. **Accessing License Post-Purchase:** * Once a dataset is purchased, the buyer can access and review the custom license terms in their profile under "My Purchases." # Important Link This page provides a list of important links related to Opendatabay services, tools, and resources. Please find the relevant links below: Main Opendatabay Landing Page * [Opendatabay Marketplace](https://opendatabay.com): Visit our main page to explore all the features and offerings provided by Opendatabay. #### Tools * [Opendatabay GitHub](https://github.com/Opendatabay): Explore the Opendatabay GitHub repository for open-source projects, contribution and documentation. #### Social Media Stay connected with us through our social media channels: * #### Links * [Medium](https://medium.com/@opendatabay) * [Instagram](https://www.instagram.com/opendatabay/) * [LinkedIn](https://www.linkedin.com/company/opendatabay) * [Facebook](https://www.facebook.com/Opendatabaycom) * [Twitter](https://twitter.com/Open_databay) * [YouTube](https://www.youtube.com/@opendatabay) We hope these links help you navigate the Opendatabay ecosystem and access the resources you need. If you have any further questions or require assistance, please don't hesitate to reach out to our support team