SAGE
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Datasets

  • 📕 RUSpellRU
    • Table of contents
    • Dataset Description
      • Dataset Summary
      • Supported Tasks and Leaderboards
      • Languages
    • Dataset Structure
      • Data Instances
      • Data Fields
      • Data Splits
    • Considerations for Using the Data
      • Discussion of Biases
      • Other Known Limitations
    • Additional Information
      • Future plans
      • Dataset Curators
      • Licensing Information
      • Citation Information
  • 📚 MultidomainGold
    • Table of contents
    • Dataset Description
      • Dataset Summary
      • Supported Tasks and Leaderboards
      • Languages
    • Dataset Structure
      • Data Instances
      • Data Fields
      • Data Splits
    • Dataset Creation
      • Initial Data Collection and Normalization
      • Annotation process
      • Who are the annotators?
    • Considerations for Using the Data
      • Discussion of Biases
      • Other Known Limitations
    • Additional Information
      • Future plans
      • Dataset Curators
      • Licensing Information
      • Citation Information
  • 🫀 MedSpellchecker
    • Table of contents
    • Dataset Description
      • Dataset Summary
      • Supported Tasks and Leaderboards
      • Languages
    • Dataset Structure
      • Data Instances
      • Data Fields
      • Data Splits
    • Dataset Creation
      • Initial Data Collection and Normalization
      • Annotation process
      • Who are the annotators?
    • Considerations for Using the Data
      • Discussion of Biases
      • Other Known Limitations
    • Additional Information
      • Future plans
      • Dataset Curators
      • Licensing Information
      • Citation Information
  • 🐙 GitHubTypoCorpusRu
    • Table of contents
    • Dataset Description
      • Dataset Summary
      • Supported Tasks and Leaderboards
      • Languages
    • Dataset Structure
      • Data Instances
      • Data Fields
      • Data Splits
    • Dataset Creation
      • Initial Data Collection and Normalization
      • Annotation process
      • Who are the annotators?
    • Considerations for Using the Data
      • Discussion of Biases
      • Other Known Limitations
    • Additional Information
      • Future plans
      • Dataset Curators
      • Licensing Information
      • Citation Information

Models

  • 🎯 sage-fredt5-large
    • Table of contents
    • Public references
    • Examples
    • Metrics
    • How to use
    • API
      • T5ModelForSpellingCorruption
        • T5ModelForSpellingCorruption.batch_correct()
        • T5ModelForSpellingCorruption.correct()
        • T5ModelForSpellingCorruption.evaluate()
        • T5ModelForSpellingCorruption.from_pretrained()
    • Limitations
    • Resources
    • License
    • Specifications
    • Contacts
  • 🎯 sage-fredt5-distilled-95m
    • Table of contents
    • Public references
    • Examples
    • Metrics
    • How to use
    • API
      • T5ModelForSpellingCorruption
        • T5ModelForSpellingCorruption.batch_correct()
        • T5ModelForSpellingCorruption.correct()
        • T5ModelForSpellingCorruption.evaluate()
        • T5ModelForSpellingCorruption.from_pretrained()
    • Limitations
    • Resources
    • License
    • Specifications
    • Contacts
  • 🎯 sage-mt5-large
    • Table of contents
    • Public references
    • Examples
    • Metrics
    • How to use
    • API
      • T5ModelForSpellingCorruption
        • T5ModelForSpellingCorruption.batch_correct()
        • T5ModelForSpellingCorruption.correct()
        • T5ModelForSpellingCorruption.evaluate()
        • T5ModelForSpellingCorruption.from_pretrained()
    • Limitations
    • Resources
    • License
    • Specifications
    • Contacts
  • 🎯 sage-m2m100-1.2B
    • Table of contents
    • Public references
    • Examples
    • Metrics
    • How to use
    • API
      • RuM2M100ModelForSpellingCorrection
        • RuM2M100ModelForSpellingCorrection.batch_correct()
        • RuM2M100ModelForSpellingCorrection.correct()
        • RuM2M100ModelForSpellingCorrection.evaluate()
        • RuM2M100ModelForSpellingCorrection.from_pretrained()
    • Limitations
    • Resources
    • License
    • Specifications
    • Contacts
  • 📌 RuM2M100-1.2B
    • Table of contents
    • Public references
    • Examples
    • Metrics
    • How to use
    • API
      • RuM2M100ModelForSpellingCorrection
        • RuM2M100ModelForSpellingCorrection.batch_correct()
        • RuM2M100ModelForSpellingCorrection.correct()
        • RuM2M100ModelForSpellingCorrection.evaluate()
        • RuM2M100ModelForSpellingCorrection.from_pretrained()
    • Resources
    • License
    • Specifications
    • Contacts
  • 📌 M2M100-418M
    • Table of contents
    • Public references
    • Examples
    • Metrics
    • How to use
    • API
      • RuM2M100ModelForSpellingCorrection
        • RuM2M100ModelForSpellingCorrection.batch_correct()
        • RuM2M100ModelForSpellingCorrection.correct()
        • RuM2M100ModelForSpellingCorrection.evaluate()
        • RuM2M100ModelForSpellingCorrection.from_pretrained()
    • Resources
    • License
    • Specifications
    • Contacts
  • 📌 FredT5-large
    • Table of contents
    • Public references
    • Examples
    • Metrics
    • How to use
    • API
      • T5ModelForSpellingCorruption
        • T5ModelForSpellingCorruption.batch_correct()
        • T5ModelForSpellingCorruption.correct()
        • T5ModelForSpellingCorruption.evaluate()
        • T5ModelForSpellingCorruption.from_pretrained()
    • Resources
    • License
    • Specifications
    • Contacts
  • 🇬🇧 T5-large
    • Table of contents
    • Public references
    • Examples
    • Metrics
    • How to use
    • API
      • T5ModelForSpellingCorruption
        • T5ModelForSpellingCorruption.batch_correct()
        • T5ModelForSpellingCorruption.correct()
        • T5ModelForSpellingCorruption.evaluate()
        • T5ModelForSpellingCorruption.from_pretrained()
    • Resources
    • License
    • Specifications
    • Contacts

Augmentation

  • 📊 SBSC
  • ✏️ Augmentex

Evaluation

  • 💥 RuErrant
    • Scoring
  • ⚠️ RuSpellEval
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