> ML_DATASET // THE-PILE-DATASET_v1.0
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
EleutherAI (Gao et al.) · Foundation Model Pretraining · 825 GB diverse text (roughly 300 billion tokens) across 22 diverse subsets
Foundation Model PretrainingCustom Academic Open / Component-specific licenses825 GB diverse text (roughly 300 billion tokens) across 22 diverse subsetsopen
Dataset Profile & Characteristics
Label Type:Unsupervised pre-training text categorized by source component
Languages:en
License Tier:research-only
Modalities:text
Intended Use
- Pretraining open research models (GPT-NeoX, Pythia) with high reasoning and domain depth
Prohibited / Discouraged Use
- Commercial redistribution of disputed copyright sub-components
Bias, Leakage & Privacy Risk Analysis
Privacy / Sensitive Data Risks:
Contains academic papers (PubMed, arXiv), code (GitHub), court cases, and web crawls with potential PII.
Known Bias:
High concentration of academic, technical, and mathematical prose.
Known Benchmark Leakage:
Contains common benchmark questions (Books3 component contested for copyright).