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Released
2/8/2025Framework
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Training Data Analysis
🟡 Average (5.2/10)
Researched training datasets used by microsoft-Phi-3-mini-4k-instruct with quality assessment
Specialized For
code
general
science
multilingual
Training Datasets (3)
the pile
🟢 8/10
code
general
science
multilingual
Key Strengths
- •Deliberate Diversity: Explicitly curated to include diverse content types (academia, code, Q&A, book...
- •Documented Quality: Each component dataset is thoroughly documented with rationale for inclusion, en...
- •Epoch Weighting: Component datasets receive different training epochs based on perceived quality, al...
common crawl
🔴 2.5/10
general
science
Key Strengths
- •Scale and Accessibility: At 9.5+ petabytes, Common Crawl provides unprecedented scale for training d...
- •Diversity: The dataset captures billions of web pages across multiple domains and content types, ena...
- •Comprehensive Coverage: Despite limitations, Common Crawl attempts to represent the broader web acro...
Considerations
- •Biased Coverage: The crawling process prioritizes frequently linked domains, making content from dig...
- •Large-Scale Problematic Content: Contains significant amounts of hate speech, pornography, violent c...
wikipedia
🟡 5/10
science
multilingual
Key Strengths
- •High-Quality Content: Wikipedia articles are subject to community review, fact-checking, and citatio...
- •Multilingual Coverage: Available in 300+ languages, enabling training of models that understand and ...
- •Structured Knowledge: Articles follow consistent formatting with clear sections, allowing models to ...
Considerations
- •Language Inequality: Low-resource language editions have significantly lower quality, fewer articles...
- •Biased Coverage: Reflects biases in contributor demographics; topics related to Western culture and ...
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