Dataset · Hugging Face

besimple-ai/voice-code-bench

Name: voice-code-bench
Creator: besimple-ai
License: other
Keywords: task_categories:automatic-speech-recognition, annotations_creators:expert-generated, language_creators:expert-generated, multilinguality:monolingual, language:en, license:other, size_categories:n<1K, format:json, modality:audio, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant

VoiceCodeBench VoiceCodeBench is a test-only benchmark for evaluating whether automatic speech recognition (ASR) systems preserve exact structured values in English workplace speech. Paper: VoiceCodeBench: Evaluating Exact Structured-Token Recovery in Automatic Speech Recognition The benchmark targets cases where a transcript is software input: callback numbers, email addresses, command-line flags, file paths, URLs, account identifiers, dates, measurements, and similar values… See the full description on the dataset page: https://huggingface.co/datasets/besimple-ai/voice-code-bench.

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Author / organization	besimple-ai
License (as declared)	other
Downloads	1.8K (as reported by Hugging Face)
Likes	14
Created	29 April 2026
Last updated at source	9 October 2026

audiospeechspeech-recognitionspeech-to-textautomatic-speech-recognitionasrasr-benchmarkbenchmarkevaluationstructured-token-recoveryentity-recoveryworkplace-speechenglish

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