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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 |
| v3 | test | 321 | 15:43:48.000 |
| v3 | zh | 319 | 13:01:23.000 |
| total | 713 | 34:52:35.530 |
Columns
audio: embedded audio bytes withAudio(sampling_rate=16000)metadatarecord_id: neutral per-row identifierlanguage: language codeduration_seconds: duration measured from source metadata orffprobesampling_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)
ds_v3 = load_dataset("<repo_id>", "v3", split="test", token=True)
ds_v3_zh = load_dataset("<repo_id>", "v3", split="zh", token=True)
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