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Product Overview
SDC DataForge High-Quality Dataset Management Platform
The DataForge High-Quality Dataset Management Platform is designed for industry-specific model training and fine-tuning, knowledge base construction, RAG-enhanced applications, and model evaluation. It provides capabilities such as data ingestion, preprocessing, sample processing, annotation, dataset construction, and quality assessment, helping enterprises transform multi-source, heterogeneous data into AI-ready data assets that are trainable, evaluable, reusable, and traceable.
Product Features
Core Strengths
Use Cases
  • Knowledge Base Construction and Question-Answering Enhancement
    For knowledge data such as institutional documents, operational manuals, FAQs, and policies and regulations, the platform supports parsing, cleaning, slicing, Q&A pair generation, and quality assessment to create high-quality datasets suitable for knowledge bases and RAG applications.
    Value: Improves knowledge recall accuracy, Q&A reliability, and content traceability.
  • Development of a Dataset for Industry Model Fine-Tuning
    Tailored to industry scenarios such as government affairs, finance, transportation, energy, and manufacturing, the platform supports the creation of fine-tuning datasets for commands, question-answering, classification, entity recognition, and relation extraction.
    Value: Helps models understand industry knowledge, business rules, and specialized terminology, thereby improving the effectiveness of industry applications.
  • Model Evaluation and Benchmark Dataset Construction
    Designed for large models, industry-specific models, and agent applications, the platform supports evaluation tasks, standard answers, scoring rules, evaluation dimensions, and version management.
    Value: Establishes a unified, reusable evaluation benchmark to support model selection, optimization, and deployment acceptance testing.
  • Enterprise Copilot: Process Collaboration and Data Support
    For enterprise Copilots and business agents, the platform supports the organization and annotation of business processes, operational guidelines, approval rules, historical tasks, and system fields.
    Value: Enhances the agents’ understanding of processes, roles, and business context, supporting task collaboration and intelligent office operations.
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