Datasets › BiRD

BiRD (Bigram Relatedness Dataset)

Introduced by Shima Asaadi et al. in Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition1 Jun 2019 archive 2025-07-28

Bigram Relatedness Dataset (BiRD) is a large, fine-grained, bigram relatedness dataset, using a comparative annotation technique called Best Worst Scaling. Each of BiRD's 3,345 English term pairs involves at least one bigram. BiRD is made freely available to foster further research on how meaning can be represented and how meaning can be composed.

Image source: http://saifmohammad.com/WebPages/BiRD.html

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; the archive counts 10 papers for it but never published that list.

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

Languages archive 2025-07-28

Variants archive 2025-07-28

  • BiRD

1 variant name, as the archive lists them.

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