--- Datasets/Corpus ---
    -- Microsoft Research Paraphrase Corpus --
        |- Primary Usage -
            Paraphrase Identification
        |- Content -
            ~6,000 sentence pairs from online news sources, labled (1,0)
            Relatively small and limited to news articles
        |- Best For -
            Initial development, benchmarking

    -- PAN Plagiarism Detection Corpus --
        |- Primary Usage -
            Plagiarism Detection Research
        |- Content -
            Different years of competitions with various text types
            PAN-PC-10/11 External plagiarism detection
            PAN-SS-13 Single source plagiarism with complexity levels
            Academic texts, web content, student essays
        |- Best For -
            Advanced evluation on realistic plagiarism

    -- Quora Question Pairs --
        |- Primary Usage -
            Duplicate Questions - (Paraphrased, likely unintentional)
        |- Content -
            +400,000 question pairs from Quora
            Labled duplicate and not duplicate
            Focuses on questions, not general statements
        |- Best For -
            Training data-intensive models

    -- SemEval Paraphrase Datasets --
        |- Primary Usage -
           Paraphrase and semantic similarity
        |- Content -
            Datasets from SemEval competitions
            SemEval-2012 Task 6: Semantic textual similarity
            SemEval-2015 Task 1: Paraphrase & Semantic similarity
            SemEval-2017 Task 1: Semantic similarity
            News, headlines, image captions
            Well annotated, multiple languages
            Fragmented across "Tasks"
        |- Best For -
            Multi domain evaluation (different criteria)

    -- P4P (Paraphrase for Plagiarism) Corpus --
        |- Primary Usage -
            Plagiarism detection with paraphrasing
        |- Content -
            Academic texts with paraphrased plagiarism
            Source-plagiarism mappings, paraphrase types
            Academic writing
            Limited availability + academic focus
            Access limited to requests
        |- Best For -
            Paraphrase-specific plagiarism research

    -- ParaBank 2.0 --
        |- Primary Usage -
            Paraphrase generation and evaluation
        |- Content -
            Large-scale paraphrase pairs generated from parallel text
            Multiple paraphrase candidates per sentence
            Machine generated, may contain noise
        |- Best For -
            Large scale training and data augmentation

    -- Twitter Paraphrase Corpus --
        |- Primary Usage -
            Short text paraphrase detection
        |- Content -
            tweet pairs annotated for paraphrase relationship
            Paraphrase scoresand binary lables
            ~20,000 pairs
            Informal language, real-world usage
            Short text, informal grammer (difficult to parse)
        |- Best For -
            Informal language and social media applications
    
    -- UW-Stanford Paraphrase Corpus --
        |- Primary Usage -
            Paraphrase detection
        |- Content -
            Sentence pairs from news & web text
            Paraphrase judgments
            ~3,000 pairs (Very small dataset)
            High quality human judgments (good test set)
        |- Best For -
            High-precision evaluation, testing

    -- Sheffield Plagiarism Corpus --
        |- Primary Usage -
            Academic plagiarism detection research
        |- Content -
            Original academic texts and publications
            Modified documents with various types of plagiarism
            Detailed Markups of plagiarised sections with source mappings
            Plagiarism types
            Verbatim copying, Parphrasing, Structural plagiarism
            Academic writing and student essays
            Realistic plagiarism + obfuscation types
        |- Best For -
            Evaluating real academic plagiarism detection

    -- New PAN25 --
        |- 3 parts
            spot_check
            train
            validation
