Datasaur
Visit our websitePricingBlogPlaygroundAPI Docs
  • Welcome to Datasaur
    • Getting started with Datasaur
  • Data Studio Projects
    • Labeling Task Types
      • Span Based
        • OCR Labeling
        • Audio Project
      • Row Based
      • Document Based
      • Bounding Box
      • Conversational
      • Mixed Labeling
      • Project Templates
        • Test Project
    • Creating a Project
      • Data Formats
      • Data Samples
      • Split Files
      • Consensus
      • Dynamic Review Capabilities
    • Pre-Labeled Project
    • Let's Get Labeling!
      • Span Based
        • Span + Line Labeling
      • Row & Document Based
      • Bounding Box Labeling
      • Conversational Labeling
      • Label Sets / Question Sets
        • Dynamic Question Set
      • Multiple Label Sets
    • Reviewing Projects
      • Review Sampling
    • Adding Documents to an Ongoing Project
    • Export Project
  • LLM Projects
    • LLM Labs Introduction
    • Sandbox
      • Direct Access LLMs
      • File Attachment
      • Conversational Prompt
    • Deployment
      • Deployment API
    • Knowledge base
      • External Object Storage
      • File Properties
    • Models
      • Amazon SageMaker JumpStart
      • Amazon Bedrock
      • Open AI
      • Azure OpenAI
      • Vertex AI
      • Custom model
      • Fine-tuning
      • LLM Comparison Table
    • Evaluation
      • Automated Evaluation
        • Multi-application evaluation
        • Custom metrics
      • Ranking (RLHF)
      • Rating
      • Performance Monitoring
    • Dataset
    • Pricing Plan
  • Workspace Management
    • Workspace
    • Role & Permission
    • Analytics
      • Inter-Annotator Agreement (IAA)
        • Cohen's Kappa Calculation
        • Krippendorff's Alpha Calculation
      • Custom Report Builder
      • Project Report
      • Evaluation Metrics
    • Activity
    • File Transformer
      • Import Transformer
      • Export Transformer
      • Upload File Transformer
      • Running File Transformer
    • Label Management
      • Label Set Management
      • Question Set Management
    • Project Management
      • Self-Assignment
        • Self-Unassign
      • Transfer Assignment Ownership
      • Reset Labeling Work
      • Mark Document as Complete
      • Project Status Workflow
        • Read-only Mode
      • Comment Feature
      • Archive Project
    • Automation
      • Action: Create Projects
  • Assisted Labeling
    • ML Assisted Labeling
      • Amazon Comprehend
      • Amazon SageMaker
      • Azure ML
      • CoreNLP NER
      • CoreNLP POS
      • Custom API
      • FewNERD
      • Google Vertex AI
      • Hugging Face
      • LLM Assisted Labeling
        • Prompt Examples
        • Custom Provider
      • LLM Labs (beta)
      • NLTK
      • Sentiment Analysis
      • spaCy
      • SparkNLP NER
      • SparkNLP POS
    • Data Programming
      • Example of Labeling Functions
      • Labeling Function Analysis
      • Inter-Annotator Agreement for Data Programming
    • Predictive Labeling
  • Assisted Review
    • Label Error Detection
  • Building Your Own Model
    • Datasaur Dinamic
      • Datasaur Dinamic with Hugging Face
      • Datasaur Dinamic with Amazon SageMaker Autopilot
  • Advanced
    • Script-Generated Question
    • Shortcuts
    • Extensions
      • Labels
      • Review
      • Document and Row Labeling
      • Bounding Box Labels
      • List of Files
      • Comments
      • Analytics
      • Dictionary
      • Search
      • Labeling Guidelines
      • Metadata
      • Grammar Checker
      • ML Assisted Labeling
      • Data Programming
      • Datasaur Dinamic
      • Predictive Labeling
      • Label Error Detection
      • LLM Sandbox
    • Tokenizers
  • Integrations
    • External Object Storage
      • AWS S3
        • With IRSA
      • Google Cloud Storage
      • Azure Blob Storage
      • Dropbox
    • SAML
      • Okta
      • Microsoft Entra ID
    • SCIM
      • Okta
      • Microsoft Entra ID
    • Webhook Notifications
      • Webhook Signature
      • Events
      • Custom Headers
    • Robosaur
      • Commands
        • Create Projects
        • Apply Project Tags
        • Export Projects
        • Generate Time Per Task Report
        • Split Document
      • Storage Options
  • API
    • Datasaur APIs
    • Credentials
    • Create Project
      • New mutation (createProject)
      • Python Script Example
    • Adding Documents
    • Labeling
      • Create Label Set
      • Add Label Sets into Existing Project
      • Get List of Label Sets in a Project
      • Add Label Set Item into Project's Label Set
      • Programmatic API Labeling
      • Inserting Span and Arrow Label into Document
    • Export Project
      • Custom Webhook
    • Get Data
      • Get List of Projects
      • Get Document Information
      • Get List of Tags
      • Get Cabinet
      • Export Team Overview
      • Check Job
    • Custom OCR
      • Importable Format
    • Custom ASR
    • Run ML-Assisted Labeling
  • Security and Compliance
    • Security and Compliance
      • 2FA
  • Compatibility & Updates
    • Common Terminology
    • Recommended Machine Specifications
    • Supported Formats
    • Supported Languages
    • Release Notes
      • Version 6
        • 6.112.0
        • 6.111.0
        • 6.110.0
        • 6.109.0
        • 6.108.0
        • 6.107.0
        • 6.106.0
        • 6.105.0
        • 6.104.0
        • 6.103.0
        • 6.102.0
        • 6.101.0
        • 6.100.0
        • 6.99.0
        • 6.98.0
        • 6.97.0
        • 6.96.0
        • 6.95.0
        • 6.94.0
        • 6.93.0
        • 6.92.0
        • 6.91.0
        • 6.90.0
        • 6.89.0
        • 6.88.0
        • 6.87.0
        • 6.86.0
        • 6.85.0
        • 6.84.0
        • 6.83.0
        • 6.82.0
        • 6.81.0
        • 6.80.0
        • 6.79.0
        • 6.78.0
        • 6.77.0
        • 6.76.0
        • 6.75.0
        • 6.74.0
        • 6.73.0
        • 6.72.0
        • 6.71.0
        • 6.70.0
        • 6.69.0
        • 6.68.0
        • 6.67.0
        • 6.66.0
        • 6.65.0
        • 6.64.0
        • 6.63.0
        • 6.62.0
        • 6.61.0
        • 6.60.0
        • 6.59.0
        • 6.58.0
        • 6.57.0
        • 6.56.0
        • 6.55.0
        • 6.54.0
        • 6.53.0
        • 6.52.0
        • 6.51.0
        • 6.50.0
        • 6.49.0
        • 6.48.0
        • 6.47.0
        • 6.46.0
        • 6.45.0
        • 6.44.0
        • 6.43.0
        • 6.42.0
        • 6.41.0
        • 6.40.0
        • 6.39.0
        • 6.38.0
        • 6.37.0
        • 6.36.0
        • 6.35.0
        • 6.34.0
        • 6.33.0
        • 6.32.0
        • 6.31.0
        • 6.30.0
        • 6.29.0
        • 6.28.0
        • 6.27.0
        • 6.26.0
        • 6.25.0
        • 6.24.0
        • 6.23.0
        • 6.22.0
        • 6.21.0
        • 6.20.0
        • 6.19.0
        • 6.18.0
        • 6.17.0
        • 6.16.0
        • 6.15.0
        • 6.14.0
        • 6.13.0
        • 6.12.0
        • 6.11.0
        • 6.10.0
        • 6.9.0
        • 6.8.0
        • 6.7.0
        • 6.6.0
        • 6.5.0
        • 6.4.0
        • 6.3.0
        • 6.2.0
        • 6.1.0
        • 6.0.0
      • Version 5
        • 5.63.0
        • 5.62.0
        • 5.61.0
        • 5.60.0
  • Deployment
    • Self-Hosted
      • AWS Marketplace
        • Data Studio
        • LLM Labs
Powered by GitBook
On this page
  • Data Studio
  • LLM Labs
  • Workspace Management
  1. Welcome to Datasaur

Getting started with Datasaur

Last updated 21 days ago

Welcome to Datasaur, your one-stop web-based platform for streamlining the data labeling process essential for training sophisticated AI algorithms in Data Studio and LLM. Our platform not only enhances efficiency and accuracy in labeling with a robust set of tools but also ensures the utmost security for your data. Dive into our suite of services, from span-based to audio-based labeling and advanced LLM tools, all designed to empower your team and elevate your language models to new heights of performance.

Data labeling is a key step in training supervised learning AI algorithms. There are three main components for labeling data: the data to be labeled, the label set (sometimes referred to as the ontology or taxonomy), and the people who perform the labeling (sometimes referred to as labelers, taggers or annotators).

Datasaur is a web-based software platform that allows you to upload the data, apply the labels and collaborate with your labeling team. We focus on improving efficiency and quality while ensuring data security. In addition to providing a performant interface for all the above, we leverage state of the art intelligence to help automate your labeling work.

Datasaur supports the most common forms of Natural Language Processing (NLP) labeling:

Datasaur provides a suite of large language model tools that enable you to enhance your LLM output. Ranking and evaluation are critical processes in improving large language models, providing a structured approach to assess the quality and relevance of generated outputs. Through ranking, users can prioritize responses based on preferences, while evaluation involves detailed analysis and refinement of completions. Both methods are essential in fine-tuning LLMs to understand and generate human-like text with increased accuracy and reliability.

Right now our LLM suite is free for any user!

At the cornerstone of every successful Data Studio and LLM project is workspace management. Datasaur provides team management capabilities and reports along with a robust label reviewing interface for QA. If you are labeling language, you have come to right place. More questions? Email

Data Studio
Span Labeling
Textual / Row Classification
Document Classification
OCR Labeling
Bounding Box Labeling
Audio Labeling
Conversational Labeling
LLM Labs
LLM Fine Tuning
LLM RLHF
Workspace Management
support@datasaur.ai
Let's dive right in! -->