README.md

metadata

license: apache-2.0
task_categories:
  - automatic-speech-recognition
language:
  - zh
configs:
  - config_name: SPEECHIO_ASR_ZH00000
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00000/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00001
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00001/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00002
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00002/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00003
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00003/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00004
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00004/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00005
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00005/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00006
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00006/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00007
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00007/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00008
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00008/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00009
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00009/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00010
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00010/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00011
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00011/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00012
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00012/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00013
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00013/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00014
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00014/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00015
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00015/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00016
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00016/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00017
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00017/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00018
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00018/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00019
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00019/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00020
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00020/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00021
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00021/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00022
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00022/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00023
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00023/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00024
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00024/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00025
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00025/test-*.parquet
  - config_name: SPEECHIO_ASR_ZH00026
    data_files:
      - split: test
        path: SPEECHIO_ASR_ZH00026/test-*.parquet

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 single test split.
• ~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"])