Provide diverse text data for language model training and benchmarking
The Pile is an open-source dataset that combines 22 smaller datasets into one large collection for training AI language models. It helps improve how well models understand and generate text across different areas like books, code, and academic papers. This diversity leads to better performance on various tasks and benchmarks, making it valuable for AI development.
Combines 22 datasets for broad domain coverage
Freely available for research and development
Uses Pile BPB to evaluate model performance
The Pile is an 825 GiB diverse, open source language modelling dataset that consists of 22 smaller, high-quality datasets combined together.
Diversity in data sources improves general cross-domain knowledge of models and downstream generalization capability.
Please cite the provided arXiv paper when using the Pile or any of its components.
This tool is best for:
Recent data shows that The Pile has 1.7K monthly visits (-23.2% decrease from the previous month), 67.0% bounce rate, and average 1.38 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by India contributing 34% of total traffic.
Monthly Visits
1.7K
Pages per Visit
1.38
Bounce Rate
67.0%
Average Time on Site
7s
| Source | Traffic Share |
|---|---|
| Direct | 41% |
| Search | 36% |
| Social | 4% |
| Referrals | 17% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 34% |
 | 24% |
 | 15% |
 | 9% |
 | 7% |
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