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metadata 
configs:
  - config_name: nan
    data_files:
      - split: train
        path: corpus/nan.train.clean.jsonl
  - config_name: audio-HiHi-d74df3ad55bc
    data_files:
      - split: train
        path: audio/HiHi--d74df3ad55bc/*/part-*.parquet
  - config_name: audio-bonchacha
    data_files:
      - split: train
        path: audio/bonchacha/*/part-*.parquet
  - config_name: audio-minnan_crawl
    data_files:
      - split: train
        path: audio/minnan_crawl/*/part-*.parquet
  - config_name: audio-minnan_crawl_2
    data_files:
      - split: train
        path: audio/minnan_crawl_2/*/part-*.parquet
  - config_name: audio-minnan_gold_ambertalk
    data_files:
      - split: train
        path: audio/minnan_gold_ambertalk/*/part-*.parquet
  - config_name: audio-minnan_gold_be_ki_c86fddff
    data_files:
      - split: train
        path: audio/minnan_gold_be_ki_c86fddff/*/part-*.parquet
  - config_name: audio-minnan_gold_billionairestory
    data_files:
      - split: train
        path: audio/minnan_gold_billionairestory/*/part-*.parquet
  - config_name: audio-minnan_gold_blue
    data_files:
      - split: train
        path: audio/minnan_gold_blue/*/part-*.parquet
  - config_name: audio-minnan_gold_daaidrama
    data_files:
      - split: train
        path: audio/minnan_gold_daaidrama/*/part-*.parquet
  - config_name: audio-minnan_gold_daidai_friends_fbc8a6f8
    data_files:
      - split: train
        path: audio/minnan_gold_daidai_friends_fbc8a6f8/*/part-*.parquet
  - config_name: audio-minnan_gold_dowry
    data_files:
      - split: train
        path: audio/minnan_gold_dowry/*/part-*.parquet
  - config_name: audio-minnan_gold_dragondance
    data_files:
      - split: train
        path: audio/minnan_gold_dragondance/*/part-*.parquet
  - config_name: audio-minnan_gold_fengshui
    data_files:
      - split: train
        path: audio/minnan_gold_fengshui/*/part-*.parquet
  - config_name: audio-minnan_gold_formosa_tv_dramas_d891ae92
    data_files:
      - split: train
        path: audio/minnan_gold_formosa_tv_dramas_d891ae92/*/part-*.parquet
  - config_name: audio-minnan_gold_gloryoflove
    data_files:
      - split: train
        path: audio/minnan_gold_gloryoflove/*/part-*.parquet
  - config_name: audio-minnan_gold_goldencity
    data_files:
      - split: train
        path: audio/minnan_gold_goldencity/*/part-*.parquet
  - config_name: audio-minnan_gold_greattimes
    data_files:
      - split: train
        path: audio/minnan_gold_greattimes/*/part-*.parquet
  - config_name: audio-minnan_gold_happiness
    data_files:
      - split: train
        path: audio/minnan_gold_happiness/*/part-*.parquet
  - config_name: audio-minnan_gold_hope
    data_files:
      - split: train
        path: audio/minnan_gold_hope/*/part-*.parquet
  - config_name: audio-minnan_gold_li_giok_hong_ddcfcdd9
    data_files:
      - split: train
        path: audio/minnan_gold_li_giok_hong_ddcfcdd9/*/part-*.parquet
  - config_name: audio-minnan_gold_lucky
    data_files:
      - split: train
        path: audio/minnan_gold_lucky/*/part-*.parquet
  - config_name: audio-minnan_gold_ptstalk_b6580a36
    data_files:
      - split: train
        path: audio/minnan_gold_ptstalk_b6580a36/*/part-*.parquet
  - config_name: audio-minnan_gold_scarecrowcontemporary_dance_company_d4a0c873
    data_files:
      - split: train
        path: >-
          audio/minnan_gold_scarecrowcontemporary_dance_company_d4a0c873/*/part-*.parquet
  - config_name: audio-minnan_gold_score
    data_files:
      - split: train
        path: audio/minnan_gold_score/*/part-*.parquet
  - config_name: audio-minnan_gold_set_04910977
    data_files:
      - split: train
        path: audio/minnan_gold_set_04910977/*/part-*.parquet
  - config_name: audio-minnan_gold_set_0cb7db62
    data_files:
      - split: train
        path: audio/minnan_gold_set_0cb7db62/*/part-*.parquet
  - config_name: audio-minnan_gold_set_246f6897
    data_files:
      - split: train
        path: audio/minnan_gold_set_246f6897/*/part-*.parquet
  - config_name: audio-minnan_gold_set_26788ebf
    data_files:
      - split: train
        path: audio/minnan_gold_set_26788ebf/*/part-*.parquet
  - config_name: audio-minnan_gold_set_34c0c58d
    data_files:
      - split: train
        path: audio/minnan_gold_set_34c0c58d/*/part-*.parquet
  - config_name: audio-minnan_gold_set_46a5a4a3
    data_files:
      - split: train
        path: audio/minnan_gold_set_46a5a4a3/*/part-*.parquet
  - config_name: audio-minnan_gold_set_4a40fe6c
    data_files:
      - split: train
        path: audio/minnan_gold_set_4a40fe6c/*/part-*.parquet
  - config_name: audio-minnan_gold_set_62d47487
    data_files:
      - split: train
        path: audio/minnan_gold_set_62d47487/*/part-*.parquet
  - config_name: audio-minnan_gold_set_792fa89b
    data_files:
      - split: train
        path: audio/minnan_gold_set_792fa89b/*/part-*.parquet
  - config_name: audio-minnan_gold_set_7e1b10d0
    data_files:
      - split: train
        path: audio/minnan_gold_set_7e1b10d0/*/part-*.parquet
  - config_name: audio-minnan_gold_set_889bc2dd
    data_files:
      - split: train
        path: audio/minnan_gold_set_889bc2dd/*/part-*.parquet
  - config_name: audio-minnan_gold_set_98c098ad
    data_files:
      - split: train
        path: audio/minnan_gold_set_98c098ad/*/part-*.parquet
  - config_name: audio-minnan_gold_set_c24accde
    data_files:
      - split: train
        path: audio/minnan_gold_set_c24accde/*/part-*.parquet
  - config_name: audio-minnan_gold_set_c9f74ff0
    data_files:
      - split: train
        path: audio/minnan_gold_set_c9f74ff0/*/part-*.parquet
  - config_name: audio-minnan_gold_set_cb85b17b
    data_files:
      - split: train
        path: audio/minnan_gold_set_cb85b17b/*/part-*.parquet
  - config_name: audio-minnan_gold_set_drama_f4d63b33
    data_files:
      - split: train
        path: audio/minnan_gold_set_drama_f4d63b33/*/part-*.parquet
  - config_name: audio-minnan_gold_set_f138f50c
    data_files:
      - split: train
        path: audio/minnan_gold_set_f138f50c/*/part-*.parquet
  - config_name: audio-minnan_gold_springflower
    data_files:
      - split: train
        path: audio/minnan_gold_springflower/*/part-*.parquet
  - config_name: audio-minnan_gold_taiwanan
    data_files:
      - split: train
        path: audio/minnan_gold_taiwanan/*/part-*.parquet
  - config_name: audio-minnan_gold_taiwanannew
    data_files:
      - split: train
        path: audio/minnan_gold_taiwanannew/*/part-*.parquet
  - config_name: audio-minnan_gold_taiwanlegend
    data_files:
      - split: train
        path: audio/minnan_gold_taiwanlegend/*/part-*.parquet
  - config_name: audio-minnan_gold_tat_collected
    data_files:
      - split: train
        path: audio/minnan_gold_tat_collected/*/part-*.parquet
  - config_name: audio-minnan_pseudo
    data_files:
      - split: train
        path: audio/minnan_pseudo/*/part-*.parquet
  - config_name: audio-tat_hua
    data_files:
      - split: train
        path: audio/tat_hua/*/part-*.parquet
  - config_name: audio-this_is_taiwan
    data_files:
      - split: train
        path: audio/this_is_taiwan/*/part-*.parquet
  - config_name: audio-start-25376b4820a2
    data_files:
      - split: train
        path: audio/start--25376b4820a2/*/part-*.parquet
  - config_name: audio-subset-35316e89ab9d
    data_files:
      - split: train
        path: audio/subset--35316e89ab9d/*/part-*.parquet
  - config_name: audio-subset-88118b0f7090
    data_files:
      - split: train
        path: audio/subset--88118b0f7090/*/part-*.parquet
  - config_name: audio-subset-76cd10247683
    data_files:
      - split: train
        path: audio/subset--76cd10247683/*/part-*.parquet
  - config_name: audio-subset-e42d9607aa7d
    data_files:
      - split: train
        path: audio/subset--e42d9607aa7d/*/part-*.parquet
  - config_name: audio-subset-2be7cd427259
    data_files:
      - split: train
        path: audio/subset--2be7cd427259/*/part-*.parquet
  - config_name: audio-subset-be1e4a8d3290
    data_files:
      - split: train
        path: audio/subset--be1e4a8d3290/*/part-*.parquet

nan high-quality speech corpus

This dataset contains the high-quality Minnan-to-Chinese S2TT corpus and its source-partitioned audio.

All audio is FLAC PCM16. Source sample rate and channel count are preserved. Every packaged item passed a source-to-FLAC bit-identical PCM round trip and a separate full-release decode/hash validation.

Corpus rows use portable locators of the form audio/<subset>/<group>/part-N.parquet#row=N.

Corpus overview

Corpus/config Rows Approx. hours
nan 2,943,134 9,172.24

Audio subset overview

Counts below are unique packaged audio rows.

Audio subset Unique rows Approx. hours Rejected rows Parquet GiB
HiHi導覽先生 14,033 61.83 0 4.05
bonchacha 13,702 38.38 0 2.51
minnan_crawl 333,148 103.92 37 6.35
minnan_crawl_2 106,568 127.16 0 9.18
minnan_gold_ambertalk 2,412 7.01 0 0.48
minnan_gold_be_ki_c86fddff 38 0.14 0 0.01
minnan_gold_billionairestory 136,732 380.04 0 27.53
minnan_gold_blue 13,966 39.81 0 2.55
minnan_gold_daaidrama 186,534 1,356.66 0 83.45
minnan_gold_daidai_friends_fbc8a6f8 17 0.05 0 0.00
minnan_gold_dowry 181,449 525.94 0 33.00
minnan_gold_dragondance 112,429 343.18 0 22.74
minnan_gold_fengshui 221,083 651.97 0 41.77
minnan_gold_formosa_tv_dramas_d891ae92 112,734 307.77 0 20.38
minnan_gold_gloryoflove 142,544 405.27 0 29.20
minnan_gold_goldencity 227,188 644.51 0 44.64
minnan_gold_greattimes 152,270 451.84 0 31.23
minnan_gold_happiness 134,236 390.89 0 26.26
minnan_gold_hope 1,163 3.18 0 0.24
minnan_gold_li_giok_hong_ddcfcdd9 76 0.27 0 0.02
minnan_gold_lucky 124,311 353.97 0 25.33
minnan_gold_ptstalk_b6580a36 242 0.84 0 0.05
minnan_gold_scarecrowcontemporary_dance_company_d4a0c873 1,737 4.15 0 0.24
minnan_gold_score 43,749 121.55 0 6.85
minnan_gold_set_04910977 529 1.52 0 0.08
minnan_gold_set_0cb7db62 226 0.73 0 0.04
minnan_gold_set_246f6897 450 1.35 0 0.08
minnan_gold_set_26788ebf 3,016 9.97 0 0.57
minnan_gold_set_34c0c58d 87 0.28 0 0.02
minnan_gold_set_46a5a4a3 4,649 13.25 0 0.92
minnan_gold_set_4a40fe6c 4,636 15.84 0 0.68
minnan_gold_set_62d47487 175 0.40 0 0.02
minnan_gold_set_792fa89b 479 1.23 0 0.07
minnan_gold_set_7e1b10d0 395 1.10 0 0.07
minnan_gold_set_889bc2dd 43 0.09 0 0.01
minnan_gold_set_98c098ad 73 0.21 0 0.01
minnan_gold_set_c24accde 4,958 17.11 0 0.87
minnan_gold_set_c9f74ff0 6,759 23.68 0 1.05
minnan_gold_set_cb85b17b 1,277 4.89 0 0.27
minnan_gold_set_drama_f4d63b33 36,337 99.50 0 7.27
minnan_gold_set_f138f50c 59 0.19 0 0.01
minnan_gold_springflower 180,687 532.92 0 34.72
minnan_gold_taiwanan 90,751 258.22 0 17.04
minnan_gold_taiwanannew 21,142 59.55 0 3.95
minnan_gold_taiwanlegend 29,537 85.50 0 5.84
minnan_gold_tat_collected 3,871 11.09 0 0.66
minnan_pseudo 253,102 1,572.70 0 104.48
tat_hua 4,447 16.20 0 1.11
this_is_taiwan 10,479 52.20 0 3.40
廣告start 1,745 6.87 0 0.45
萬秀豬王 9,190 26.89 0 2.14
豬哥會社 3,128 10.62 0 0.82
霹靂兵烽決 1,373 2.63 0 0.20
霹靂天機 994 2.34 0 0.19
黑白威廉 4,042 14.32 0 0.90
黑貓夜總會 2,137 8.28 0 0.55

JSONL examples

Two abridged corpus rows are shown below; the locators point directly to the packaged Parquet audio rows.

{"audio_filepath":"audio/minnan_gold_ambertalk/a148aad3e6406b73ece6/part-00000.parquet#row=2321","text":"今天帶大家來關渡宮。","context":"","duration":1.621,"lang":"<|NAN|>","audio_id":"bacc2a1efaa39393985d7dfc014cc288538a650b","source_set":"minnan_gold_ambertalk","audio_format":"flac"}
{"audio_filepath":"audio/minnan_gold_ambertalk/a148aad3e6406b73ece6/part-00000.parquet#row=1621","text":"不得了啦，不得了啦！","context":"今天帶大家來關渡宮。","duration":2.427,"lang":"<|NAN|>","audio_id":"ff309f9a1d4e045e7694dde0f26a60441bd7d9c1","source_set":"minnan_gold_ambertalk","audio_format":"flac"}

Download only selected subsets 

from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="ACCOUNT/nan",
    repo_type="dataset",
    allow_patterns=[
        "corpus/*",
        "audio/HiHi--d74df3ad55bc/*/part-*.parquet",
    ],
)

Or load an individual configuration:

from datasets import load_dataset
corpus = load_dataset("ACCOUNT/nan", "nan")
audio = load_dataset("ACCOUNT/nan", "audio-HiHi-d74df3ad55bc")

Release totals

  • Unique audio: 2,943,134
  • Audio hours: 9,172.002
  • Parquet size: 0.651289 TB (0.592344 TiB)

See release.json for exact per-subset counts, hours, bytes, and corpus checksums.