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SpeechIO ASR Test Sets (parquet)
Parquet repackaging of the SpeechColab SpeechIO Mandarin ASR benchmark,
re-exported from yuekai/speechio (Lhotse cuts) into standard
HuggingFace parquet with embedded 16 kHz audio.
- 27 test sets:
SPEECHIO_ASR_ZH00000...SPEECHIO_ASR_ZH00026, each a config with a singletestsplit. - ~43k utterances, ~66 hours total, evaluation only.
Columns
| column | type | note |
|---|---|---|
segment_id |
string | utterance id |
speaker |
string | speaker id |
text |
string | reference transcript (Chinese) |
duration |
float32 | seconds |
audio |
Audio(16kHz) | embedded wav bytes |
original_full_path |
string | source path in original corpus |
Usage
from datasets import load_dataset
ds = load_dataset("yuekai/speechio_test", "SPEECHIO_ASR_ZH00001", split="test")
print(ds[0]["text"], ds[0]["audio"]["sampling_rate"])
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