Datasets:
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Browse files- .gitignore +1 -1
- CTIS.py +0 -375
- README.md +62 -65
- default/dataset_dict.json +1 -0
- default/train/dataset_info.json +288 -0
- default/train/state.json +100 -0
- eval/dataset_dict.json +1 -0
- eval/test/dataset_info.json +290 -0
- eval/test/state.json +13 -0
- eval/train/dataset_info.json +290 -0
- eval/train/state.json +28 -0
- eval/validation/dataset_info.json +290 -0
- eval/validation/state.json +13 -0
.gitignore
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test
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*__pycache__*
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rename.sh
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test.*
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CTIS.py
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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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_HOMEPAGE = f"https://www.modelscope.cn/datasets/ccmusic-database/{os.path.basename(__file__)[:-3]}"
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_DOMAIN = f"{_HOMEPAGE}/resolve/master/data"
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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"],
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"L0075": ["晋剧晋胡", "jin4_ju4_jin4_hu2"],
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"L0076": ["壮剧土胡2", "zhuang4_ju4_tu3_hu2_2"],
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"L0077": ["晋剧二股弦", "jin4_ju4_er4_gu3_xian2"],
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"L0080": ["吕剧坠琴", "lv3_ju4_zhui4_qin2"],
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"L0084": ["奚琴(传统)", "xi1_qin2_(traditional)"],
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"L0085": ["奚琴(改良)", "xi1_qin2_(reformed)"],
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"L0086": ["中音奚琴(改良)", "Alto_xi1_qin2_(reformed)"],
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"L0115": ["莱芜梆子-梆胡", "lai2_wu2_bang1_zi-bang1_hu2"],
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| 158 |
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"L0121": ["六角弦", "liu4_jiao3_xian2"],
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| 159 |
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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)"],
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"L0134": ["陇剧陇胡(改良)D调", "long3_ju4_long3_hu2_(reformed)_in_D"],
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| 162 |
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"L0135": ["齐琴", "qi2_qin2"],
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| 163 |
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"L0136": ["渔胡", "yu2_hu2"],
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| 164 |
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"L0139": ["坠胡", "zhui4_hu2"],
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| 165 |
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"L0141": ["越胡", "yue4_hu2"],
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"L0148": ["板胡", "ban3_hu2"],
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| 167 |
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"L0149": ["绍剧板胡", "shao4_ju4_ban3_hu2"],
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| 168 |
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"L0150": ["宛梆子梆胡", "yuan1_bang1_zi_bang1_hu2"],
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"L0151": ["四弦", "si4_xian2"],
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| 170 |
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"L0152": ["滇葫(小二胡)", "dian1_hu2_(xiao3_er4_hu2)"],
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"L0153": ["云南花灯丝弦", "yun2_nan2_hua1_deng1_si1_xian2"],
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| 172 |
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"L0154": ["仕胡", "shi4_hu2"],
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| 173 |
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"L0155": ["伬胡", "chi4_hu2"],
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| 174 |
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"L0156": ["工胡", "gong1_hu2"],
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| 175 |
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"L0157": ["大胡", "da4_hu2"],
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| 176 |
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"L0158": ["低音伬胡", "Bass_chi4_hu2"],
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| 177 |
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"L0160": ["丝弦", "si1_xian2"],
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| 178 |
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"L0161": ["滇胡", "dian1_hu2"],
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| 179 |
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"L0162": ["襄阳专用胡琴", "xiang1_yang2_zhuan1_yong4_hu2_qin2"],
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| 180 |
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"L0163": ["雷胡", "lei2_hu2"],
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| 181 |
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"L0164": ["赣胡", "gan4_hu2"],
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| 182 |
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"L0165": ["高腔赣胡", "gao1_qiang1_gan4_hu2"],
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| 183 |
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"L0166": ["高腔赣胡第2代", "gao1_qiang1_gan4_hu2_2nd_generation"],
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| 184 |
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"L0167": ["黔胡", "qian2_hu2"],
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| 185 |
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"L0168": ["花胡", "hua1_hu2"],
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| 186 |
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"L0169": ["花胡2", "hua1_hu2_2"],
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| 187 |
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"L0170": ["二股弦", "er4_gu3_xian2"],
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| 188 |
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"L0239": ["高音板胡", "Treble_ban3_hu2"],
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| 189 |
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"L0240": ["中音板胡", "Alto_ban3_hu2"],
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| 190 |
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"L0256": ["雷琴", "lei2_qin2"],
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| 191 |
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"L0266": ["二胡", "er4_hu2"],
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| 192 |
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"L0285": ["二弦", "er4_xian2"],
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| 193 |
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"L0288": ["椰胡", "ye1_hu2"],
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| 194 |
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"L0291": ["扁八角高胡", "bian3_ba1_jiao3_gao1_hu2"],
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| 195 |
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"L0292": ["六角高胡", "liu4_jiao3_gao1_hu2"],
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| 196 |
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"L0297": ["中胡", "zhong1_hu2"],
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| 197 |
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"L0307": ["芦笙", "lu2_sheng1"],
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| 198 |
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"L0312": ["牛角胡", "niu2_jiao3_hu2"],
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| 199 |
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"L0313": ["佤族独弦琴", "wa3_zu2_du2_xian2_qin2"],
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| 200 |
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"L0314": ["葫芦琴", "hu2_lu2_qin2"],
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| 201 |
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"T0006": ["陶布舒尔", "tao2_bu4_shu1_er3"],
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| 202 |
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"T0007": ["雅托嘎", "ya3_tuo1_ga2"],
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| 203 |
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"T0078": ["四股弦", "si4_gu3_xian2"],
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| 204 |
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"T0081": ["玄琴", "xuan2_qin2"],
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| 205 |
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"T0082": ["伽倻琴(改良)", "jia1_ye2_qin2_(reformed)"],
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| 206 |
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"T0083": ["伽倻琴", "jia1_ye2_qin2"],
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| 207 |
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"T0087": ["雅筝", "ya3_zheng1"],
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| 208 |
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"T0088": ["扬琴2", "yang2_qin2_2"],
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| 209 |
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"T0089": ["扬琴3", "yang2_qin2_3"],
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| 210 |
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"T0111": ["三弦", "san1_xian2"],
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| 211 |
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"T0116": ["八角月琴", "ba1_jiao3_yue4_qin2"],
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| 212 |
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"T0159": ["双清", "shuang1_qing1"],
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| 213 |
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"T0171": ["月琴", "yue4_qin2"],
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| 214 |
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"T0238": ["大阮", "da4_ruan3"],
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| 215 |
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"T0254": ["箜篌", "kong1_hou2"],
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| 216 |
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"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"],
|
| 222 |
-
"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))
|
| 304 |
-
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 |
-
}
|
|
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|
README.md
CHANGED
|
@@ -11,9 +11,64 @@ tags:
|
|
| 11 |
pretty_name: Chinese Traditional Instrument Sound Dataset
|
| 12 |
size_categories:
|
| 13 |
- 1K<n<10K
|
| 14 |
-
|
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|
| 15 |
---
|
| 16 |
-
|
| 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://
|
| 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 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"C0097",
|
| 37 |
+
"C0098",
|
| 38 |
+
"C0099",
|
| 39 |
+
"C0100",
|
| 40 |
+
"C0101",
|
| 41 |
+
"C0113",
|
| 42 |
+
"C0114",
|
| 43 |
+
"C0117",
|
| 44 |
+
"C0123",
|
| 45 |
+
"C0124",
|
| 46 |
+
"C0182",
|
| 47 |
+
"C0183",
|
| 48 |
+
"C0187",
|
| 49 |
+
"C0188",
|
| 50 |
+
"C0200",
|
| 51 |
+
"C0201",
|
| 52 |
+
"C0237",
|
| 53 |
+
"C0243",
|
| 54 |
+
"C0244",
|
| 55 |
+
"C0257",
|
| 56 |
+
"C0259",
|
| 57 |
+
"C0263",
|
| 58 |
+
"C0264",
|
| 59 |
+
"C0265",
|
| 60 |
+
"C0280",
|
| 61 |
+
"C0281",
|
| 62 |
+
"C0282",
|
| 63 |
+
"C0283",
|
| 64 |
+
"C0296",
|
| 65 |
+
"C0303",
|
| 66 |
+
"C0304",
|
| 67 |
+
"C0305",
|
| 68 |
+
"C0306",
|
| 69 |
+
"C0308",
|
| 70 |
+
"C0309",
|
| 71 |
+
"C0310",
|
| 72 |
+
"C0311",
|
| 73 |
+
"C0316",
|
| 74 |
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"D0015",
|
| 75 |
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"D0048",
|
| 76 |
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"D0049",
|
| 77 |
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"D0050",
|
| 78 |
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"D0051",
|
| 79 |
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"D0058",
|
| 80 |
+
"D0060",
|
| 81 |
+
"D0061",
|
| 82 |
+
"D0062",
|
| 83 |
+
"D0063",
|
| 84 |
+
"D0064",
|
| 85 |
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"D0065",
|
| 86 |
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"D0066",
|
| 87 |
+
"D0067",
|
| 88 |
+
"D0068",
|
| 89 |
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"D0069",
|
| 90 |
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"D0070",
|
| 91 |
+
"D0071",
|
| 92 |
+
"D0102",
|
| 93 |
+
"D0103",
|
| 94 |
+
"D0104",
|
| 95 |
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"D0105",
|
| 96 |
+
"D0125",
|
| 97 |
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"D0126",
|
| 98 |
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"D0127",
|
| 99 |
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"D0128",
|
| 100 |
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"D0129",
|
| 101 |
+
"D0130",
|
| 102 |
+
"D0131",
|
| 103 |
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"D0132",
|
| 104 |
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"D0137",
|
| 105 |
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"D0138",
|
| 106 |
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"D0140",
|
| 107 |
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"D0143",
|
| 108 |
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"D0144",
|
| 109 |
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"D0145",
|
| 110 |
+
"D0146",
|
| 111 |
+
"D0147",
|
| 112 |
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"D0172",
|
| 113 |
+
"D0173",
|
| 114 |
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"D0176",
|
| 115 |
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"D0177",
|
| 116 |
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"D0178",
|
| 117 |
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"D0179",
|
| 118 |
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"D0180",
|
| 119 |
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"D0181",
|
| 120 |
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"D0184",
|
| 121 |
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"D0185",
|
| 122 |
+
"D0186",
|
| 123 |
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"D0241",
|
| 124 |
+
"D0242",
|
| 125 |
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"D0245",
|
| 126 |
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"D0246",
|
| 127 |
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"D0247",
|
| 128 |
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"D0248",
|
| 129 |
+
"D0249",
|
| 130 |
+
"D0250",
|
| 131 |
+
"D0251",
|
| 132 |
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"D0252",
|
| 133 |
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"D0268",
|
| 134 |
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"D0269",
|
| 135 |
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"D0270",
|
| 136 |
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"D0271",
|
| 137 |
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"D0272",
|
| 138 |
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"D0273",
|
| 139 |
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"D0274",
|
| 140 |
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"D0275",
|
| 141 |
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"D0276",
|
| 142 |
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"D0277",
|
| 143 |
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"D0278",
|
| 144 |
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"D0279",
|
| 145 |
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"D0284",
|
| 146 |
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"D0286",
|
| 147 |
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"D0287",
|
| 148 |
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"D0290",
|
| 149 |
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"D0298",
|
| 150 |
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"D0299",
|
| 151 |
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"D0315",
|
| 152 |
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"D0325",
|
| 153 |
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"D0326",
|
| 154 |
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"D0327",
|
| 155 |
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"D0328",
|
| 156 |
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"L0044",
|
| 157 |
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"L0045",
|
| 158 |
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"L0046",
|
| 159 |
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"L0047",
|
| 160 |
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"L0053",
|
| 161 |
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"L0055",
|
| 162 |
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"L0056",
|
| 163 |
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"L0072",
|
| 164 |
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"L0073",
|
| 165 |
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"L0074",
|
| 166 |
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"L0075",
|
| 167 |
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"L0076",
|
| 168 |
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"L0077",
|
| 169 |
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"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 |
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"L0288",
|
| 210 |
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"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 |
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"_type": "Value"
|
| 258 |
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}
|
| 259 |
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},
|
| 260 |
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"homepage": "https://www.modelscope.cn/datasets/ccmusic-database/CTIS",
|
| 261 |
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"license": "CC-BY-NC-ND",
|
| 262 |
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"size_in_bytes": 6643298104,
|
| 263 |
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"splits": {
|
| 264 |
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"train": {
|
| 265 |
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"name": "train",
|
| 266 |
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"num_bytes": 2337167,
|
| 267 |
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"num_examples": 4956,
|
| 268 |
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"dataset_name": "ctis"
|
| 269 |
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}
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| 270 |
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},
|
| 271 |
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"supervised_keys": {
|
| 272 |
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"input": "mel",
|
| 273 |
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"output": "label"
|
| 274 |
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},
|
| 275 |
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"task_templates": [
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| 276 |
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{
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| 277 |
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"task": "image-classification",
|
| 278 |
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"image_column": "mel",
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| 279 |
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"label_column": "label"
|
| 280 |
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|
| 281 |
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],
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| 282 |
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"version": {
|
| 283 |
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"version_str": "0.0.0",
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| 286 |
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"patch": 0
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| 287 |
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}
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| 288 |
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}
|
default/train/state.json
ADDED
|
@@ -0,0 +1,100 @@
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|
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|
|
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|
|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"_data_files": [
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| 3 |
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{
|
| 4 |
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"filename": "data-00000-of-00030.arrow"
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| 5 |
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| 6 |
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| 8 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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"filename": "data-00005-of-00030.arrow"
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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{
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| 25 |
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"filename": "data-00007-of-00030.arrow"
|
| 26 |
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| 27 |
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| 28 |
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"filename": "data-00008-of-00030.arrow"
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| 29 |
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| 30 |
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{
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| 31 |
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"filename": "data-00009-of-00030.arrow"
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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{
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| 37 |
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"filename": "data-00011-of-00030.arrow"
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| 38 |
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| 39 |
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| 40 |
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"filename": "data-00012-of-00030.arrow"
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| 41 |
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| 42 |
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{
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| 43 |
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"filename": "data-00013-of-00030.arrow"
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| 44 |
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| 45 |
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{
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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{
|
| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 67 |
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| 70 |
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| 71 |
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| 73 |
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| 74 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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"filename": "data-00025-of-00030.arrow"
|
| 80 |
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| 81 |
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{
|
| 82 |
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"filename": "data-00026-of-00030.arrow"
|
| 83 |
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| 84 |
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{
|
| 85 |
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"filename": "data-00027-of-00030.arrow"
|
| 86 |
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| 87 |
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{
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| 88 |
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"filename": "data-00028-of-00030.arrow"
|
| 89 |
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|
| 90 |
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{
|
| 91 |
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"filename": "data-00029-of-00030.arrow"
|
| 92 |
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| 93 |
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],
|
| 94 |
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"_fingerprint": "f857cc55d0a4393e",
|
| 95 |
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"_format_columns": null,
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| 96 |
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"_format_kwargs": {},
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| 97 |
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"_format_type": null,
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| 98 |
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"_output_all_columns": false,
|
| 99 |
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"_split": "train"
|
| 100 |
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}
|
eval/dataset_dict.json
ADDED
|
@@ -0,0 +1 @@
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|
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|
| 1 |
+
{"splits": ["train", "validation", "test"]}
|
eval/test/dataset_info.json
ADDED
|
@@ -0,0 +1,290 @@
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|
|
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|
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eval/test/state.json
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@@ -0,0 +1,13 @@
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| 1 |
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eval/train/dataset_info.json
ADDED
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|
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eval/train/state.json
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eval/validation/dataset_info.json
ADDED
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| 1 |
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| 3 |
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eval/validation/state.json
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@@ -0,0 +1,13 @@
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