Datasets › Trillion Word Corpus
Trillion Word Corpus (10,000 most common English words)
The Trillion Word Corpus is a dataset created by Google, which contains one trillion words from public web pages. It was developed by harnessing the vast power of Google's data centers and distributed processing infrastructure to process larger and larger training corpora.
The dataset was used to determine the frequency of English words and their sequences. For example, it was used to create a list of the 10,000 most common English words in order of frequency. The dataset includes the counts for all five-word sequences that appear at least 40 times. There are 13,588,391 unique words, after discarding words that appear less than 200 times.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Trillion Word Corpus
1 variant name, as the archive lists them.
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