Billion Words
A benchmark dataset for language modeling experiments with 1 billion words, providing training/test data and baseline model outputs for reproducible research.
Overview
What is Billion Words?
The Billion Words project offers a standard training and test setup for language modeling, using WMT 2011 News Crawl data. It includes scripts to rebuild data and log-probability values for baseline models like Katz and Kneser-Ney, enabling reproducible benchmarking in NLP research.
What is Billion Words used for?

Top Features
- 1 billion word dataset
- Training and test data
- Baseline model outputs
- Reproducible scripts
How to use Billion Words?
Download the provided scripts and data to set up language modeling experiments. Use the training data for model development and the held-out data for testing, comparing results against baseline models using the available log-probability outputs.
Alternative Tools
Pros & Cons
Pros
- Standardized benchmark
- Reproducible results
- Free and open-source
- Supports multiple models
Cons
- Requires technical setup
- Limited to specific data source
Use Cases
- NLP research benchmarking
- Language model development
- Academic experiments
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