Home › Glossary › Evaluation › CommitmentBank (CB)

Intermediate · Evaluation

CommitmentBank (CB)

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. A dataset used to evaluate an LLM's ability to discern if a passage's author believes a specific stated clause.

Technical Definition

A dataset used to evaluate an LLM's ability to discern if a passage's author believes a specific stated clause.

How it works

CommitmentBank (CB) is a dataset designed to assess a Large Language Model's (LLM) capability in understanding authorial belief. Each data point consists of a passage, a target clause extracted from that passage, and a true/false label indicating whether the passage's author holds the belief expressed in the clause. For example, it checks if the author truly believes 'she had a sense of humor' in a given text.

Related Concepts

  • Dataset — An organized collection of examples used to train, validate, or test a model.
  • Natural Language Understanding (NLU) — The ability of a computer program to understand human language as it is spoken or written.

Further Reading

  • Google ML Glossary