One Billion Word Benchmark

E1790161 UNEXPLORED

The One Billion Word Benchmark is a large-scale English language modeling dataset widely used to evaluate and compare the performance of neural language models.

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All labels observed (2)

Label Occurrences
1 Billion Word Benchmark 1
One Billion Word Benchmark canonical 1

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

Transformer-XL benchmarkedOn One Billion Word Benchmark
Embeddings from Language Models pretrainedOn 1 Billion Word Benchmark
linked to: One Billion Word Benchmark