Big Bench Audio: 1,000 Audio Recordings for AI Reasoning Evaluation

Big Bench Audio is an audio version of a subset of Big Bench Hard questions created by ArtificialAnalysis. The dataset contains 1,000 audio recordings for questions from categories like Formal Fallacies Syllogisms Negation. It is designed for evaluating the reasoning capabilities of models that support audio input.

Use Cases

• Benchmarking audio-based reasoning models based on the described Formal Fallacies Syllogisms Negation questions.
• Evaluating multimodal AI performance on logical reasoning tasks presented in audio format.
• Training or fine-tuning models to process and answer complex, structured questions from audio prompts.

Strengths

• Contains 1,000 audio recordings, providing a specific scale for evaluation.
• Focuses on defined reasoning categories like Formal Fallacies Syllogisms Negation.
• Created by a named author (ArtificialAnalysis) and updated on 2024-12-20.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is a subset; its representativeness of the full Big Bench Hard benchmark is unclear.

Provenance

Source

ArtificialAnalysis, derived from Big Bench Hard questions.

Collection Method

Audio version of a subset of text-based benchmark questions.

Time Range

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Freshness

Last updated 2024-12-20 09:03:36.

Geography

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