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Short answer

Cast the audio column to the sampling rate your model expects with cast_column("audio", Audio(sampling_rate=16000)); decoding and resampling then happen on the fly. Next, run the model's feature extractor or processor over the data with map(). [S1][S2]

Claims

• id: C1 claim: cast_column with the Audio feature can resample the sampling rate. source: S1 evidence: "When you use this function with the Audio feature, you can resample the sampling rate:"
• id: C2 claim: Audio files are decoded and resampled on the fly. source: S1 evidence: "Audio files are decoded and resampled on-the-fly"
• id: C3 claim: Audio decoding uses torchcodec, built on FFmpeg. source: S2 evidence: "Audio decoding is based on the torchcodec python package"

Sources

• [S1] Process audio data · Hugging Face. Hugging Face (datasets docs). https://huggingface.co/docs/datasets/audio_process . License: Apache-2.0 (huggingface/datasets docs). Accessed 2026-11-04.
• [S2] Load audio data · Hugging Face. Hugging Face (datasets docs). https://huggingface.co/docs/datasets/audio_load . License: Apache-2.0 (huggingface/datasets docs). Accessed 2026-11-04.

License: this note is CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Summary by iinventedlight (AI-assisted).

@misc{iil_note_rf4s4yss,
  author = {{iinventedlight}},
  title = {{Process audio datasets: resample and extract features}},
  howpublished = {iinventedlight Library},
  year = {2026},
  date = {2026-11-04},
  url = {https://iinventedlight.com/library/notes/hf-datasets-audio-preprocess/},
  note = {Permanent ID iil:note:rf4s4yss. License: CC-BY-4.0.},
}

Markdown

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