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.gitignore CHANGED
@@ -1,3 +1,3 @@
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  rename.sh
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- test.py
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  *__pycache__*
 
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  rename.sh
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+ test.*
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  *__pycache__*
CTIS.py DELETED
@@ -1,375 +0,0 @@
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- import os
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- import random
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- import hashlib
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- import datasets
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- from datasets.tasks import ImageClassification
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-
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-
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- _HOMEPAGE = f"https://www.modelscope.cn/datasets/ccmusic-database/{os.path.basename(__file__)[:-3]}"
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-
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- _DOMAIN = f"{_HOMEPAGE}/resolve/master/data"
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-
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- _NAMES = {
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- "C0090": ["大笒", "da4_cen2"],
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- "C0091": ["高音横笛", "Treble_heng2_di2"],
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- "C0092": ["低音横笛", "Bass_heng2_di2"],
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- "C0093": ["中音横笛", "Alto_heng2_di2"],
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- "C0094": ["唢呐", "suo3_na"],
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- "C0095": ["长唢呐", "chang2_suo3_na"],
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- "C0096": ["小筚篥", "Treble_bi4_li"],
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- "C0097": ["中音筚篥", "Alto_bi4_li"],
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- "C0098": ["低音筚篥", "Bass_bi4_li"],
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- "C0099": ["短箫", "duan3_xiao1"],
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- "C0100": ["短箫(传统)", "duan3_xiao1_(traditional)"],
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- "C0101": ["洞箫", "dong4_xiao1"],
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- "C0113": ["尖子号", "jian1_zi3_hao4"],
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- "C0114": ["尖子号2", "jian1_zi3_hao4_2"],
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- "C0117": ["南音洞箫", "nan2_yin1_dong4_xiao1"],
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- "C0123": ["南嗳仔", "nan2_ai1_zai3"],
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- "C0124": ["大吹", "da4_chui1"],
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- "C0182": ["长号", "chang2_hao4"],
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- "C0183": ["老长号", "lao3_chang2_hao4"],
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- "C0187": ["高音唢呐", "Treble_suo3_na"],
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- "C0188": ["低音唢呐", "Bass_suo3_na"],
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- "C0200": ["大芦笙", "da4_lu2_sheng1"],
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- "C0201": ["小芦笙", "xiao3_lu2_sheng1"],
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- "C0237": ["G调梆笛", "bang1_di2_in_G"],
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- "C0243": ["高音键笙", "Treble_jian4_sheng1"],
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- "C0244": ["传统笙", "traditional_sheng1"],
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- "C0257": ["低音加键唢呐", "Bass_jia1_jian4_suo3_na"],
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- "C0259": ["中音加键唢呐", "Alto_jia1_jian4_suo3_na"],
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- "C0263": ["中音笙", "Alto_sheng1"],
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- "C0264": ["低音笙", "Bass_sheng1"],
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- "C0265": ["管子", "guan3_zi"],
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- "C0280": ["A调曲笛", "qu3_di2_in_A"],
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- "C0281": ["G调新笛", "xin1_di2_in_G"],
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- "C0282": ["萧", "xiao1"],
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- "C0283": ["埙", "xun1"],
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- "C0296": ["唢呐2", "suo3_na_2"],
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- "C0303": ["小闷笛", "xiao3_men1_di2"],
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- "C0304": ["侗笛", "dong4_di2"],
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- "C0305": ["德", "de2"],
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- "C0306": ["拉祜族葫芦笙", "la1_hu2_zu2_hu2_lu2_sheng1"],
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- "C0308": ["吐良", "tu3_liang2"],
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- "C0309": ["葫芦丝", "hu2_lu2_si1"],
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- "C0310": ["F调巴乌", "ba1_wu1_in_F"],
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- "C0311": ["俄比", "e2_bi3"],
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- "C0316": ["侗巴", "dong4_ba1"],
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- "D0015": ["扬琴", "yang2_qin2"],
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- "D0048": ["低音大锣", "Bass_da4_luo2"],
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- "D0049": ["虎音锣", "hu3_yin1_luo2"],
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- "D0050": ["小钹", "xiao3_bo1"],
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- "D0051": ["钹", "bo1"],
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- "D0058": ["提手(板)", "ti2_shou3_(ban3)"],
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- "D0060": ["川小锣", "chuan1_xiao3_luo2"],
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- "D0061": ["大铛铛", "da4_cheng1_cheng1"],
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- "D0062": ["小铛铛", "xiao3_cheng1_cheng1"],
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- "D0063": ["二馨", "er4_xin1"],
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- "D0064": ["川大钵", "chuan1_da4_bo1"],
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- "D0065": ["苏钵", "su1_bo1"],
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- "D0066": ["川剧堂鼓", "chuan1_ju4_tang2_gu3"],
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- "D0067": ["川铰", "chuan1_jiao3"],
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- "D0068": ["川大锣", "chuan1_da4_luo2"],
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- "D0069": ["蛮锣", "man2_luo2"],
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- "D0070": ["包锣", "bao1_luo2"],
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- "D0071": ["引鼓", "yin3_gu3"],
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- "D0102": ["上杖鼓", "shang4_zhang4_gu3"],
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- "D0103": ["小锣", "xiao3_luo2"],
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- "D0104": ["圆锣", "yuan2_luo2"],
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- "D0105": ["杖鼓", "zhang4_gu3"],
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- "D0125": ["南鼓", "nan2_gu3"],
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- "D0126": ["压脚鼓", "ya1_jiao3_gu3"],
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- "D0127": ["钟", "zhong1"],
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- "D0128": ["草锣", "cao3_luo2"],
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- "D0129": ["锣仔", "luo2_zai3"],
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- "D0130": ["响盏", "xiang3_zhan3"],
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- "D0131": ["小叫", "xiao3_jiao4"],
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- "D0132": ["拍", "pai1"],
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- "D0137": ["渔鼓", "yu2_gu3"],
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- "D0138": ["简板", "jian3_ban3"],
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- "D0140": ["脚梆子", "jiao3_bang1_zi"],
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- "D0143": ["双铃", "shuang1_ling2"],
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- "D0144": ["小叫锣", "xiao3_jiao4_luo2"],
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- "D0145": ["拍板", "pai1_ban3"],
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- "D0146": ["四宝", "si4_bao3"],
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- "D0147": ["响盏2", "xiang3_zhan3_2"],
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- "D0172": ["碗碗", "wan3_wan3"],
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- "D0173": ["代子", "dai4_zi"],
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- "D0176": ["福(新)", "fu2_(reformed)"],
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- "D0177": ["禄(新)", "lu4_(reformed)"],
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- "D0178": ["寿(新)", "shou4_(reformed)"],
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- "D0179": ["宜春三星鼓福鼓老鼓", "yi2_chun1_san1_xing1_gu3_fu2_gu3_(traditional)"],
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- "D0180": ["宜春三星鼓禄鼓老鼓", "yi2_chun1_san1_xing1_gu3_lu4_gu3_(traditional)"],
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- "D0181": ["宜春三星鼓寿鼓老鼓", "yi2_chun1_san1_xing1_gu3_shou4_gu3_(traditional)"],
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- "D0184": ["宜春三星鼓双铛", "yi2_chun1_san1_xing1_gu3_shuang1_ding1"],
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- "D0185": ["宜春三星鼓单铛", "yi2_chun1_san1_xing1_gu3_dan1_ding1"],
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- "D0186": ["宜春三星鼓镲", "yi2_chun1_san1_xing1_gu3_chao3"],
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- "D0241": ["编钟", "bian1_zhong1"],
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- "D0242": ["编磬", "bian1_qing4"],
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- "D0245": ["南梆子", "nan2_bang1_zi"],
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- "D0246": ["北梆子", "bei3_bang1_zi"],
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- "D0247": ["碰铃", "peng4_ling2"],
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- "D0248": ["中国大鼓", "Chinese_da4_gu3"],
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- "D0249": ["花盆鼓", "hua1_pen2_gu3"],
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- "D0250": ["小堂鼓", "xiao3_tang2_gu3"],
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- "D0251": ["扁鼓", "bian3_gu3"],
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- "D0252": ["五音排鼓", "wu3_yin1_pai2_gu3"],
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- "D0268": ["草帽镲", "cao3_mao4_chao3"],
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- "D0269": ["铙", "nao2"],
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- "D0270": ["铙钹", "nao2_bo1"],
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- "D0271": ["小镲", "xiao3_chao3"],
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- "D0272": ["抄锣", "chao1_luo2"],
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- "D0273": ["中虎", "zhong1_hu3"],
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- "D0274": ["武锣", "wu3_luo2"],
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- "D0275": ["小锣2", "xiao3_luo2_2"],
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- "D0276": ["马锣", "ma3_luo2"],
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- "D0277": ["木鱼", "mu4_yu2"],
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- "D0278": ["板鼓", "ban3_gu3"],
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- "D0279": ["云锣", "yun2_luo2"],
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- "D0284": ["斗锣", "dou3_luo2"],
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- "D0286": ["曲锣", "qu3_luo2"],
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- "D0287": ["深波", "shen1_bo1"],
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- "D0290": ["大镲", "da4_chao3"],
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- "D0298": ["编铓", "bian1_zhang1"],
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- "D0299": ["牛铃", "niu2_ling2"],
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- "D0315": ["竹排琴", "zhu2_pai2_qin2"],
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- "D0325": ["那格拉", "na4_ge2_la1"],
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- "D0326": ["库休克", "ku4_xiu1_ke4"],
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- "D0327": ["萨巴依", "sa4_ba1_yi1"],
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- "D0328": ["手鼓", "shou3_gu3"],
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- "L0044": ["锡剧主胡", "xi1_ju4_zhu3_hu2"],
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- "L0045": ["扬剧主胡", "yang2_ju4_zhu3_hu2"],
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- "L0046": ["扬剧主胡F调", "yang2_ju4_zhu3_hu2_in_F"],
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- "L0047": ["扬剧主胡(小西皮)", "yang2_ju4_zhu3_hu2_(xiao3_xi1_pi2)"],
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- "L0053": ["广西彩调主胡", "guang3_xi1_cai3_diao4_zhu3_hu2"],
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- "L0055": ["牛腿琴", "niu2_tui3_qin2"],
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- "L0056": ["壮剧马骨胡D调", "zhuang4_ju4_ma3_gu3_hu2_in_D"],
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- "L0072": ["盖板(新)D调", "gai4_ban3_(reformed)_in_D"],
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- "L0073": ["盖板(传统)", "gai4_ban3_(traditional)"],
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- "L0074": ["壮剧土胡", "zhuang4_ju4_tu3_hu2"],
150
- "L0075": ["晋剧晋胡", "jin4_ju4_jin4_hu2"],
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- "L0076": ["壮剧土胡2", "zhuang4_ju4_tu3_hu2_2"],
152
- "L0077": ["晋剧二股弦", "jin4_ju4_er4_gu3_xian2"],
153
- "L0080": ["吕剧坠琴", "lv3_ju4_zhui4_qin2"],
154
- "L0084": ["奚琴(传统)", "xi1_qin2_(traditional)"],
155
- "L0085": ["奚琴(改良)", "xi1_qin2_(reformed)"],
156
- "L0086": ["中音奚琴(改良)", "Alto_xi1_qin2_(reformed)"],
157
- "L0115": ["莱芜梆子-梆胡", "lai2_wu2_bang1_zi-bang1_hu2"],
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- "L0121": ["六角弦", "liu4_jiao3_xian2"],
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- "L0122": ["壳仔弦", "ke2_zai3_xian2"],
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- "L0133": ["陇剧陇胡(传统)", "long3_ju4_long3_hu2_(traditional)"],
161
- "L0134": ["陇剧陇胡(改良)D调", "long3_ju4_long3_hu2_(reformed)_in_D"],
162
- "L0135": ["齐琴", "qi2_qin2"],
163
- "L0136": ["渔胡", "yu2_hu2"],
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- "L0139": ["坠胡", "zhui4_hu2"],
165
- "L0141": ["越胡", "yue4_hu2"],
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- "L0148": ["板胡", "ban3_hu2"],
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- "L0149": ["绍剧板胡", "shao4_ju4_ban3_hu2"],
168
- "L0150": ["宛梆子梆胡", "yuan1_bang1_zi_bang1_hu2"],
169
- "L0151": ["四弦", "si4_xian2"],
170
- "L0152": ["滇葫(小二胡)", "dian1_hu2_(xiao3_er4_hu2)"],
171
- "L0153": ["云南花灯丝弦", "yun2_nan2_hua1_deng1_si1_xian2"],
172
- "L0154": ["仕胡", "shi4_hu2"],
173
- "L0155": ["伬胡", "chi4_hu2"],
174
- "L0156": ["工胡", "gong1_hu2"],
175
- "L0157": ["大胡", "da4_hu2"],
176
- "L0158": ["低音伬胡", "Bass_chi4_hu2"],
177
- "L0160": ["丝弦", "si1_xian2"],
178
- "L0161": ["滇胡", "dian1_hu2"],
179
- "L0162": ["襄阳专用胡琴", "xiang1_yang2_zhuan1_yong4_hu2_qin2"],
180
- "L0163": ["雷胡", "lei2_hu2"],
181
- "L0164": ["赣胡", "gan4_hu2"],
182
- "L0165": ["高腔赣胡", "gao1_qiang1_gan4_hu2"],
183
- "L0166": ["高腔赣胡第2代", "gao1_qiang1_gan4_hu2_2nd_generation"],
184
- "L0167": ["黔胡", "qian2_hu2"],
185
- "L0168": ["花胡", "hua1_hu2"],
186
- "L0169": ["花胡2", "hua1_hu2_2"],
187
- "L0170": ["二股弦", "er4_gu3_xian2"],
188
- "L0239": ["高音板胡", "Treble_ban3_hu2"],
189
- "L0240": ["中音板胡", "Alto_ban3_hu2"],
190
- "L0256": ["雷琴", "lei2_qin2"],
191
- "L0266": ["二胡", "er4_hu2"],
192
- "L0285": ["二弦", "er4_xian2"],
193
- "L0288": ["椰胡", "ye1_hu2"],
194
- "L0291": ["扁八角高胡", "bian3_ba1_jiao3_gao1_hu2"],
195
- "L0292": ["六角高胡", "liu4_jiao3_gao1_hu2"],
196
- "L0297": ["中胡", "zhong1_hu2"],
197
- "L0307": ["芦笙", "lu2_sheng1"],
198
- "L0312": ["牛角胡", "niu2_jiao3_hu2"],
199
- "L0313": ["佤族独弦琴", "wa3_zu2_du2_xian2_qin2"],
200
- "L0314": ["葫芦琴", "hu2_lu2_qin2"],
201
- "T0006": ["陶布舒尔", "tao2_bu4_shu1_er3"],
202
- "T0007": ["雅托嘎", "ya3_tuo1_ga2"],
203
- "T0078": ["四股弦", "si4_gu3_xian2"],
204
- "T0081": ["玄琴", "xuan2_qin2"],
205
- "T0082": ["伽倻琴(改良)", "jia1_ye2_qin2_(reformed)"],
206
- "T0083": ["伽倻琴", "jia1_ye2_qin2"],
207
- "T0087": ["雅筝", "ya3_zheng1"],
208
- "T0088": ["扬琴2", "yang2_qin2_2"],
209
- "T0089": ["扬琴3", "yang2_qin2_3"],
210
- "T0111": ["三弦", "san1_xian2"],
211
- "T0116": ["八角月琴", "ba1_jiao3_yue4_qin2"],
212
- "T0159": ["双清", "shuang1_qing1"],
213
- "T0171": ["月琴", "yue4_qin2"],
214
- "T0238": ["大阮", "da4_ruan3"],
215
- "T0254": ["箜篌", "kong1_hou2"],
216
- "T0255": ["古筝", "gu3_zheng1"],
217
- "T0260": ["中阮", "zhong1_ruan3"],
218
- "T0261": ["柳琴", "liu3_qin2"],
219
- "T0262": ["琵琶", "pi2_pa2"],
220
- "T0267": ["扬琴4", "yang2_qin2_4"],
221
- "T0289": ["三弦2", "san1_xian2_2"],
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- "T0294": ["南音琵琶", "nan2_yin1_pi2_pa2"],
223
- "T0295": ["南音三弦", "nan2_yin1_san1_xian2"],
224
- "T0300": ["澜沧小三弦", "lan2_cang1_xiao3_san1_xian2"],
225
- "T0301": ["玎", "ding1"],
226
- "T0302": ["傈傈族奇奔", "li4_li4_zu2_qi2_ben1"],
227
- "T0317": ["独弦琴", "du2_xian2_qin2"],
228
- "T0318": ["弹拨尔", "dan4_bo1_er3"],
229
- "T0319": ["低音热瓦普", "Bass_re4_wa3_pu3"],
230
- "T0320": ["民间热瓦普", "folk_re4_wa3_pu3"],
231
- "T0323": ["都它尔", "du1_ta1_er3"],
232
- }
233
-
234
- _URLS = {
235
- "audio": f"{_DOMAIN}/audio.zip",
236
- "mel": f"{_DOMAIN}/mel.zip",
237
- "eval": f"{_DOMAIN}/eval.zip",
238
- }
239
-
240
-
241
- class CTIS(datasets.GeneratorBasedBuilder):
242
- def _info(self):
243
- return datasets.DatasetInfo(
244
- features=(
245
- datasets.Features(
246
- {
247
- "audio": datasets.Audio(sampling_rate=44100),
248
- "mel": datasets.Image(),
249
- "label": datasets.features.ClassLabel(
250
- names=list(_NAMES.keys())
251
- ),
252
- "cname": datasets.Value("string"),
253
- "pinyin": datasets.Value("string"),
254
- }
255
- )
256
- if self.config.name == "default"
257
- else (
258
- datasets.Features(
259
- {
260
- "mel": datasets.Image(),
261
- "cqt": datasets.Image(),
262
- "chroma": datasets.Image(),
263
- "label": datasets.features.ClassLabel(
264
- names=list(_NAMES.keys())
265
- ),
266
- }
267
- )
268
- )
269
- ),
270
- supervised_keys=("mel", "label"),
271
- homepage=_HOMEPAGE,
272
- license="CC-BY-NC-ND",
273
- version="1.2.0",
274
- task_templates=[
275
- ImageClassification(
276
- task="image-classification",
277
- image_column="mel",
278
- label_column="label",
279
- )
280
- ],
281
- )
282
-
283
- def _str2md5(self, original_string: str):
284
- md5_obj = hashlib.md5()
285
- md5_obj.update(original_string.encode("utf-8"))
286
- return md5_obj.hexdigest()
287
-
288
- def _split_generators(self, dl_manager):
289
- if self.config.name == "default":
290
- files = {}
291
- audio_files = dl_manager.download_and_extract(_URLS["audio"])
292
- mel_files = dl_manager.download_and_extract(_URLS["mel"])
293
- for fpath in dl_manager.iter_files([audio_files]):
294
- fname = os.path.basename(fpath)
295
- if fname.endswith(".wav"):
296
- label = os.path.basename(os.path.dirname(fpath))
297
- item_id = self._str2md5(label + fname.split(".wa")[0])
298
- files[item_id] = {"audio": fpath}
299
-
300
- for fpath in dl_manager.iter_files([mel_files]):
301
- fname = os.path.basename(fpath)
302
- if fname.endswith(".jpg"):
303
- label = os.path.basename(os.path.dirname(fpath))
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- item_id = self._str2md5(label + fname.split(".jp")[0])
305
- files[item_id]["mel"] = fpath
306
-
307
- dataset = list(files.values())
308
- random.shuffle(dataset)
309
- return [
310
- datasets.SplitGenerator(
311
- name=datasets.Split.TRAIN,
312
- gen_kwargs={"files": dataset},
313
- ),
314
- ]
315
-
316
- else:
317
- files = {key: [] for key in _NAMES}
318
- data_files = dl_manager.download_and_extract(_URLS["eval"])
319
- for fpath in dl_manager.iter_files([data_files]):
320
- fname: str = os.path.basename(fpath)
321
- if fname.endswith(".jpg") and "mel" in fpath:
322
- label = os.path.basename(os.path.dirname(fpath))
323
- files[label].append(fpath)
324
-
325
- trainset, validset, testset = [], [], []
326
- for cls in files:
327
- random.shuffle(files[cls])
328
- count = len(files[cls])
329
- if count < 3:
330
- raise ValueError(f"Class {cls} has items < 3 !")
331
-
332
- p10 = max(count // 10, 1)
333
- p20 = p10 * 2
334
- trainset += files[cls][p20:]
335
- validset += files[cls][p10:p20]
336
- testset += files[cls][:p10]
337
-
338
- random.shuffle(trainset)
339
- random.shuffle(validset)
340
- random.shuffle(testset)
341
- return [
342
- datasets.SplitGenerator(
343
- name=datasets.Split.TRAIN,
344
- gen_kwargs={"files": trainset},
345
- ),
346
- datasets.SplitGenerator(
347
- name=datasets.Split.VALIDATION,
348
- gen_kwargs={"files": validset},
349
- ),
350
- datasets.SplitGenerator(
351
- name=datasets.Split.TEST,
352
- gen_kwargs={"files": testset},
353
- ),
354
- ]
355
-
356
- def _generate_examples(self, files):
357
- if self.config.name == "default":
358
- for i, item in enumerate(files):
359
- label = os.path.basename(os.path.dirname(item["audio"]))
360
- yield i, {
361
- "audio": item["audio"],
362
- "mel": item["mel"],
363
- "label": label,
364
- "cname": _NAMES[label][0],
365
- "pinyin": _NAMES[label][1],
366
- }
367
-
368
- else:
369
- for i, item in enumerate(files):
370
- yield i, {
371
- "mel": item,
372
- "cqt": item.replace("mel", "cqt"),
373
- "chroma": item.replace("mel", "chroma"),
374
- "label": os.path.basename(os.path.dirname(item)),
375
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
README.md CHANGED
@@ -11,9 +11,64 @@ tags:
11
  pretty_name: Chinese Traditional Instrument Sound Dataset
12
  size_categories:
13
  - 1K<n<10K
14
- viewer: false
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
15
  ---
16
- If you want to view the dataset, please visit [here](https://www.modelscope.cn/datasets/ccmusic-database/CTIS/dataPeview)
17
  # Dataset Card for Chinese Traditional Instrument Sound
18
  ## Original Content
19
  The original dataset is created by [[1]](https://link.springer.com/content/pdf/10.1007/978-981-13-8707-4_5.pdf), with no evaluation provided. The original CTIS dataset contains recordings from 287 varieties of Chinese traditional instruments, reformed Chinese musical instruments, and instruments from ethnic minority groups. Notably, some of these instruments are rarely encountered by the majority of the Chinese populace. The dataset was later utilized by [[2]](https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/ccs2.12047) for Chinese instrument recognition, where only 78 instruments—approximately one-third of the total instrument classes—were used.
@@ -24,7 +79,7 @@ Finally, instrument categories lacking specific labels are excluded. The filtere
24
 
25
  In the original dataset, the Chinese character label for each instrument was represented by the folder name housing its audio files.
26
  During integration, we add Chinese pinyin label to make the dataset more accessible to researchers who are not familiar in Chinese.
27
- Then, we've reorganized the data into a dictionary with five columns, which includes: audio with a sampling rate of 44,100 Hz, pre-processed mel spectrogram, numerical label, instrument name in Chinese, and instrument name in Chinese pinyin. The provision of mel spectrograms primarily serves to enhance the visualization of the audio in the [viewer](https://www.modelscope.cn/datasets/ccmusic-database/CTIS/dataPeview). For the remaining datasets, these mel spectrograms will also be included in the integrated data structure. The total data number is 4,956, with a duration of 32.63 hours. The average duration of the recordings is 23.7 seconds.
28
 
29
  We have constructed the [default subset](#default-subset) of the current integrated version of the dataset. Building on the default subset, we applied silence removal with a threshold of top_db=40 to the audio files, converting them into mel, CQT, and chroma spectrograms. The audio was then segmented into 2-second clips, with segments shorter than 2 seconds padded using circular padding. This process resulted in the construction of the [eval subset](#eval-subset) for dataset evaluation experiments.
30
 
@@ -48,39 +103,14 @@ Due to the large number of categories in this dataset, we are unable to provide
48
  | Class with the longest audio duartion | `中阮 (Zhong1 ruan3)` |
49
  | Class in the longest audio duartion interval | `箜篌 (Kong1 hou2)` |
50
 
51
- ## Default Subset Structure
52
- <style>
53
- .ctis td {
54
- vertical-align: middle !important;
55
- text-align: center;
56
- }
57
- .ctis th {
58
- text-align: center;
59
- }
60
- </style>
61
- <table class="ctis">
62
- <tr>
63
- <td>audio</td>
64
- <td>mel</td>
65
- <td>label (200+class)</td>
66
- <td>cname (string)</td>
67
- </tr>
68
- <tr>
69
- <td>.wav, 44100Hz</td>
70
- <td>.jpg, 44100Hz</td>
71
- <td>C0090/<br>C0091/<br>...<br>T0323</td>
72
- <td>大笒/<br>高音横笛/<br>...<br>都它尔</td>
73
- </tr>
74
- </table>
75
-
76
  ## Maintenance
77
  ```bash
78
- git clone [email protected]:datasets/ccmusic-database/CTIS
79
  cd CTIS
80
  ```
81
 
82
  ## Mirror
83
- https://www.modelscope.cn/datasets/ccmusic-database/CTIS
84
 
85
 
86
  ## Dataset Description
@@ -98,7 +128,7 @@ Chinese, English
98
  ```python
99
  from datasets import load_dataset
100
 
101
- dataset = load_dataset("ccmusic-database/CTIS", split="train")
102
  for item in dataset:
103
  print(item)
104
  ```
@@ -127,34 +157,6 @@ for item in ds["test"]:
127
  ### Data Splits
128
  train, validation, test
129
 
130
- <!-- ## Dataset Creation
131
- ### Curation Rationale
132
- Lack of a dataset for Chinese traditional musical instruments
133
-
134
- ### Source Data
135
- #### Initial Data Collection and Normalization
136
- Zhaorui Liu, Monan Zhou
137
-
138
- #### Who are the source language producers?
139
- Students from CCMUSIC
140
-
141
- ### Annotations
142
- #### Annotation process
143
- Building a high-quality musical sound database requires consideration on every aspect of the criteria in terms of the recording environment, performer, sample content, annotation standard and quality of recording and performing.
144
-
145
- #### Who are the annotators?
146
- Students from CCMUSIC
147
-
148
- ## Considerations for Using the Data
149
- ### Social Impact of Dataset
150
- Advancing the Digitization Process of Traditional Chinese Instruments
151
-
152
- ### Discussion of Biases
153
- Only for Traditional Chinese Instruments
154
-
155
- ### Other Known Limitations
156
- Sample imbalance -->
157
-
158
  ## Additional Information
159
  ### Dataset Curators
160
  Zijin Li
@@ -167,12 +169,7 @@ Zijin Li
167
  ### Citation Information
168
  ```bibtex
169
  @inproceedings{10.1007/978-981-13-8707-4_5,
170
- author = {Liang, Xiaojing
171
- and Li, Zijin
172
- and Liu, Jingyu
173
- and Li, Wei
174
- and Zhu, Jiaxing
175
- and Han, Baoqiang},
176
  booktitle = {Proceedings of the 6th Conference on Sound and Music Technology (CSMT)},
177
  pages = {53--60},
178
  publisher = {Springer Singapore},
 
11
  pretty_name: Chinese Traditional Instrument Sound Dataset
12
  size_categories:
13
  - 1K<n<10K
14
+ dataset_info:
15
+ - config_name: default
16
+ features:
17
+ - name: audio
18
+ dtype:
19
+ audio:
20
+ sampling_rate: 44100
21
+ - name: mel
22
+ dtype: image
23
+ - name: label
24
+ dtype: int16
25
+ - name: cname
26
+ dtype: string
27
+ - name: pinyin
28
+ dtype: string
29
+ splits:
30
+ - name: train
31
+ num_bytes: 2337167
32
+ num_examples: 4956
33
+ download_size: 6640960937
34
+ dataset_size: 2337167
35
+ - config_name: eval
36
+ features:
37
+ - name: mel
38
+ dtype: image
39
+ - name: cqt
40
+ dtype: image
41
+ - name: chroma
42
+ dtype: image
43
+ - name: label
44
+ dtype: int16
45
+ splits:
46
+ - name: train
47
+ num_bytes: 18475805
48
+ num_examples: 34630
49
+ - name: validation
50
+ num_bytes: 2247162
51
+ num_examples: 4212
52
+ - name: test
53
+ num_bytes: 2247240
54
+ num_examples: 4212
55
+ download_size: 3443906087
56
+ dataset_size: 22970207
57
+ configs:
58
+ - config_name: default
59
+ data_files:
60
+ - split: train
61
+ path: default/train/data-*.arrow
62
+ - config_name: eval
63
+ data_files:
64
+ - split: train
65
+ path: eval/train/data-*.arrow
66
+ - split: validation
67
+ path: eval/validation/data-*.arrow
68
+ - split: test
69
+ path: eval/test/data-*.arrow
70
  ---
71
+
72
  # Dataset Card for Chinese Traditional Instrument Sound
73
  ## Original Content
74
  The original dataset is created by [[1]](https://link.springer.com/content/pdf/10.1007/978-981-13-8707-4_5.pdf), with no evaluation provided. The original CTIS dataset contains recordings from 287 varieties of Chinese traditional instruments, reformed Chinese musical instruments, and instruments from ethnic minority groups. Notably, some of these instruments are rarely encountered by the majority of the Chinese populace. The dataset was later utilized by [[2]](https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/ccs2.12047) for Chinese instrument recognition, where only 78 instruments—approximately one-third of the total instrument classes—were used.
 
79
 
80
  In the original dataset, the Chinese character label for each instrument was represented by the folder name housing its audio files.
81
  During integration, we add Chinese pinyin label to make the dataset more accessible to researchers who are not familiar in Chinese.
82
+ Then, we've reorganized the data into a dictionary with five columns, which includes: audio with a sampling rate of 44,100 Hz, pre-processed mel spectrogram, numerical label, instrument name in Chinese, and instrument name in Chinese pinyin. The provision of mel spectrograms primarily serves to enhance the visualization of the audio in the [viewer](https://huggingface.co/datasets/ccmusic-database/CTIS/viewer). For the remaining datasets, these mel spectrograms will also be included in the integrated data structure. The total data number is 4,956, with a duration of 32.63 hours. The average duration of the recordings is 23.7 seconds.
83
 
84
  We have constructed the [default subset](#default-subset) of the current integrated version of the dataset. Building on the default subset, we applied silence removal with a threshold of top_db=40 to the audio files, converting them into mel, CQT, and chroma spectrograms. The audio was then segmented into 2-second clips, with segments shorter than 2 seconds padded using circular padding. This process resulted in the construction of the [eval subset](#eval-subset) for dataset evaluation experiments.
85
 
 
103
  | Class with the longest audio duartion | `中阮 (Zhong1 ruan3)` |
104
  | Class in the longest audio duartion interval | `箜篌 (Kong1 hou2)` |
105
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
106
  ## Maintenance
107
  ```bash
108
+ GIT_LFS_SKIP_SMUDGE=1 git clone [email protected]:datasets/ccmusic-database/CTIS
109
  cd CTIS
110
  ```
111
 
112
  ## Mirror
113
+ <https://www.modelscope.cn/datasets/ccmusic-database/CTIS>
114
 
115
 
116
  ## Dataset Description
 
128
  ```python
129
  from datasets import load_dataset
130
 
131
+ dataset = load_dataset("ccmusic-database/CTIS", name="default", split="train")
132
  for item in dataset:
133
  print(item)
134
  ```
 
157
  ### Data Splits
158
  train, validation, test
159
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
160
  ## Additional Information
161
  ### Dataset Curators
162
  Zijin Li
 
169
  ### Citation Information
170
  ```bibtex
171
  @inproceedings{10.1007/978-981-13-8707-4_5,
172
+ author = {Liang, Xiaojing and Li, Zijin and Liu, Jingyu and Li, Wei and Zhu, Jiaxing and Han, Baoqiang},
 
 
 
 
 
173
  booktitle = {Proceedings of the 6th Conference on Sound and Music Technology (CSMT)},
174
  pages = {53--60},
175
  publisher = {Springer Singapore},
default/dataset_dict.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"splits": ["train"]}
default/train/dataset_info.json ADDED
@@ -0,0 +1,288 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "builder_name": "ctis",
3
+ "citation": "",
4
+ "config_name": "default",
5
+ "dataset_name": "ctis",
6
+ "dataset_size": 2337167,
7
+ "description": "",
8
+ "download_checksums": {
9
+ "https://www.modelscope.cn/datasets/ccmusic-database/CTIS/resolve/master/data/audio.zip": {
10
+ "num_bytes": 6468132216,
11
+ "checksum": null
12
+ },
13
+ "https://www.modelscope.cn/datasets/ccmusic-database/CTIS/resolve/master/data/mel.zip": {
14
+ "num_bytes": 172828721,
15
+ "checksum": null
16
+ }
17
+ },
18
+ "download_size": 6640960937,
19
+ "features": {
20
+ "audio": {
21
+ "sampling_rate": 44100,
22
+ "_type": "Audio"
23
+ },
24
+ "mel": {
25
+ "_type": "Image"
26
+ },
27
+ "label": {
28
+ "names": [
29
+ "C0090",
30
+ "C0091",
31
+ "C0092",
32
+ "C0093",
33
+ "C0094",
34
+ "C0095",
35
+ "C0096",
36
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37
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39
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40
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41
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42
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43
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44
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45
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46
+ "C0182",
47
+ "C0183",
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50
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51
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57
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73
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89
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91
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93
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94
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95
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102
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104
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105
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106
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107
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109
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110
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111
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112
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113
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114
+ "D0176",
115
+ "D0177",
116
+ "D0178",
117
+ "D0179",
118
+ "D0180",
119
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120
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121
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122
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123
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126
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+ "D0250",
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132
+ "D0252",
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+ "D0270",
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+ "D0271",
137
+ "D0272",
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+ "D0273",
139
+ "D0274",
140
+ "D0275",
141
+ "D0276",
142
+ "D0277",
143
+ "D0278",
144
+ "D0279",
145
+ "D0284",
146
+ "D0286",
147
+ "D0287",
148
+ "D0290",
149
+ "D0298",
150
+ "D0299",
151
+ "D0315",
152
+ "D0325",
153
+ "D0326",
154
+ "D0327",
155
+ "D0328",
156
+ "L0044",
157
+ "L0045",
158
+ "L0046",
159
+ "L0047",
160
+ "L0053",
161
+ "L0055",
162
+ "L0056",
163
+ "L0072",
164
+ "L0073",
165
+ "L0074",
166
+ "L0075",
167
+ "L0076",
168
+ "L0077",
169
+ "L0080",
170
+ "L0084",
171
+ "L0085",
172
+ "L0086",
173
+ "L0115",
174
+ "L0121",
175
+ "L0122",
176
+ "L0133",
177
+ "L0134",
178
+ "L0135",
179
+ "L0136",
180
+ "L0139",
181
+ "L0141",
182
+ "L0148",
183
+ "L0149",
184
+ "L0150",
185
+ "L0151",
186
+ "L0152",
187
+ "L0153",
188
+ "L0154",
189
+ "L0155",
190
+ "L0156",
191
+ "L0157",
192
+ "L0158",
193
+ "L0160",
194
+ "L0161",
195
+ "L0162",
196
+ "L0163",
197
+ "L0164",
198
+ "L0165",
199
+ "L0166",
200
+ "L0167",
201
+ "L0168",
202
+ "L0169",
203
+ "L0170",
204
+ "L0239",
205
+ "L0240",
206
+ "L0256",
207
+ "L0266",
208
+ "L0285",
209
+ "L0288",
210
+ "L0291",
211
+ "L0292",
212
+ "L0297",
213
+ "L0307",
214
+ "L0312",
215
+ "L0313",
216
+ "L0314",
217
+ "T0006",
218
+ "T0007",
219
+ "T0078",
220
+ "T0081",
221
+ "T0082",
222
+ "T0083",
223
+ "T0087",
224
+ "T0088",
225
+ "T0089",
226
+ "T0111",
227
+ "T0116",
228
+ "T0159",
229
+ "T0171",
230
+ "T0238",
231
+ "T0254",
232
+ "T0255",
233
+ "T0260",
234
+ "T0261",
235
+ "T0262",
236
+ "T0267",
237
+ "T0289",
238
+ "T0294",
239
+ "T0295",
240
+ "T0300",
241
+ "T0301",
242
+ "T0302",
243
+ "T0317",
244
+ "T0318",
245
+ "T0319",
246
+ "T0320",
247
+ "T0323"
248
+ ],
249
+ "_type": "ClassLabel"
250
+ },
251
+ "cname": {
252
+ "dtype": "string",
253
+ "_type": "Value"
254
+ },
255
+ "pinyin": {
256
+ "dtype": "string",
257
+ "_type": "Value"
258
+ }
259
+ },
260
+ "homepage": "https://www.modelscope.cn/datasets/ccmusic-database/CTIS",
261
+ "license": "CC-BY-NC-ND",
262
+ "size_in_bytes": 6643298104,
263
+ "splits": {
264
+ "train": {
265
+ "name": "train",
266
+ "num_bytes": 2337167,
267
+ "num_examples": 4956,
268
+ "dataset_name": "ctis"
269
+ }
270
+ },
271
+ "supervised_keys": {
272
+ "input": "mel",
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