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Child Speech ASR Benchmark

This dataset contains 16 kHz mono FLAC audio embedded in Parquet rows through the Hugging Face Audio feature. It is intended for manually reviewed ASR benchmarking access.

Configs

Config Split Rows Duration
zh test 18 02:24:00.076
en test 55 03:43:24.454
total test 73 06:07:24.530

Columns

  • audio: embedded audio bytes with Audio(sampling_rate=16000) metadata
  • record_id: neutral per-row identifier
  • language: zh or en
  • duration_seconds: duration measured with ffprobe
  • sampling_rate: 16000

Loading

from datasets import load_dataset

ds_zh = load_dataset("<repo_id>", "zh", split="test", token=True)
ds_en = load_dataset("<repo_id>", "en", split="test", token=True)
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