遇见数据集

kmewhort/tu-berlin-svgs

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Hugging Face2023-01-10 更新2024-03-04 收录
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资源简介:

--- dataset_info: features: - name: label dtype: class_label: names: '0': airplane '1': alarm clock '2': angel '3': ant '4': apple '5': arm '6': armchair '7': ashtray '8': axe '9': backpack '10': banana '11': barn '12': baseball bat '13': basket '14': bathtub '15': bear (animal) '16': bed '17': bee '18': beer-mug '19': bell '20': bench '21': bicycle '22': binoculars '23': blimp '24': book '25': bookshelf '26': boomerang '27': bottle opener '28': bowl '29': brain '30': bread '31': bridge '32': bulldozer '33': bus '34': bush '35': butterfly '36': cabinet '37': cactus '38': cake '39': calculator '40': camel '41': camera '42': candle '43': cannon '44': canoe '45': car (sedan) '46': carrot '47': castle '48': cat '49': cell phone '50': chair '51': chandelier '52': church '53': cigarette '54': cloud '55': comb '56': computer monitor '57': computer-mouse '58': couch '59': cow '60': crab '61': crane (machine) '62': crocodile '63': crown '64': cup '65': diamond '66': dog '67': dolphin '68': donut '69': door '70': door handle '71': dragon '72': duck '73': ear '74': elephant '75': envelope '76': eye '77': eyeglasses '78': face '79': fan '80': feather '81': fire hydrant '82': fish '83': flashlight '84': floor lamp '85': flower with stem '86': flying bird '87': flying saucer '88': foot '89': fork '90': frog '91': frying-pan '92': giraffe '93': grapes '94': grenade '95': guitar '96': hamburger '97': hammer '98': hand '99': harp '100': hat '101': head '102': head-phones '103': hedgehog '104': helicopter '105': helmet '106': horse '107': hot air balloon '108': hot-dog '109': hourglass '110': house '111': human-skeleton '112': ice-cream-cone '113': ipod '114': kangaroo '115': key '116': keyboard '117': knife '118': ladder '119': laptop '120': leaf '121': lightbulb '122': lighter '123': lion '124': lobster '125': loudspeaker '126': mailbox '127': megaphone '128': mermaid '129': microphone '130': microscope '131': monkey '132': moon '133': mosquito '134': motorbike '135': mouse (animal) '136': mouth '137': mug '138': mushroom '139': nose '140': octopus '141': owl '142': palm tree '143': panda '144': paper clip '145': parachute '146': parking meter '147': parrot '148': pear '149': pen '150': penguin '151': person sitting '152': person walking '153': piano '154': pickup truck '155': pig '156': pigeon '157': pineapple '158': pipe (for smoking) '159': pizza '160': potted plant '161': power outlet '162': present '163': pretzel '164': pumpkin '165': purse '166': rabbit '167': race car '168': radio '169': rainbow '170': revolver '171': rifle '172': rollerblades '173': rooster '174': sailboat '175': santa claus '176': satellite '177': satellite dish '178': saxophone '179': scissors '180': scorpion '181': screwdriver '182': sea turtle '183': seagull '184': shark '185': sheep '186': ship '187': shoe '188': shovel '189': skateboard '190': skull '191': skyscraper '192': snail '193': snake '194': snowboard '195': snowman '196': socks '197': space shuttle '198': speed-boat '199': spider '200': sponge bob '201': spoon '202': squirrel '203': standing bird '204': stapler '205': strawberry '206': streetlight '207': submarine '208': suitcase '209': sun '210': suv '211': swan '212': sword '213': syringe '214': t-shirt '215': table '216': tablelamp '217': teacup '218': teapot '219': teddy-bear '220': telephone '221': tennis-racket '222': tent '223': tiger '224': tire '225': toilet '226': tomato '227': tooth '228': toothbrush '229': tractor '230': traffic light '231': train '232': tree '233': trombone '234': trousers '235': truck '236': trumpet '237': tv '238': umbrella '239': van '240': vase '241': violin '242': walkie talkie '243': wheel '244': wheelbarrow '245': windmill '246': wine-bottle '247': wineglass '248': wrist-watch '249': zebra - name: svg dtype: string splits: - name: train num_bytes: 82640829.32506625 num_examples: 15999 - name: test num_bytes: 20661498.674933746 num_examples: 4000 download_size: 65748314 dataset_size: 103302328.0 --- # Dataset Card for "tu-berlin-svgs" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

数据集信息: 特征: - 名称:label,数据类型:类别标签(class_label),其类别名称如下: 0: 飞机(airplane) 1: 闹钟(alarm clock) 2: 天使(angel) 3: 蚂蚁(ant) 4: 苹果(apple) 5: 手臂(arm) 6: 扶手椅(armchair) 7: 烟灰缸(ashtray) 8: 斧头(axe) 9: 背包(backpack) 10: 香蕉(banana) 11: 谷仓(barn) 12: 棒球棒(baseball bat) 13: 篮子(basket) 14: 浴缸(bathtub) 15: 熊(动物)(bear (animal)) 16: 床(bed) 17: 蜜蜂(bee) 18: 啤酒杯(beer-mug) 19: 铃铛(bell) 20: 长凳(bench) 21: 自行车(bicycle) 22: 双筒望远镜(binoculars) 23: 软式飞艇(blimp) 24: 书(book) 25: 书架(bookshelf) 26: 回飞棒(boomerang) 27: 开瓶器(bottle opener) 28: 碗(bowl) 29: 大脑(brain) 30: 面包(bread) 31: 桥梁(bridge) 32: 推土机(bulldozer) 33: 公共汽车(bus) 34: 灌木丛(bush) 35: 蝴蝶(butterfly) 36: 橱柜(cabinet) 37: 仙人掌(cactus) 38: 蛋糕(cake) 39: 计算器(calculator) 40: 骆驼(camel) 41: 照相机(camera) 42: 蜡烛(candle) 43: 加农炮(cannon) 44: 独木舟(canoe) 45: 轿车(car (sedan)) 46: 胡萝卜(carrot) 47: 城堡(castle) 48: 猫(cat) 49: 手机(cell phone) 50: 椅子(chair) 51: 吊灯(chandelier) 52: 教堂(church) 53: 香烟(cigarette) 54: 云(cloud) 55: 梳子(comb) 56: 电脑显示器(computer monitor) 57: 鼠标(computer-mouse) 58: 长沙发(couch) 59: 奶牛(cow) 60: 螃蟹(crab) 61: 起重机(机械)(crane (machine)) 62: 鳄鱼(crocodile) 63: 皇冠(crown) 64: 杯子(cup) 65: 钻石(diamond) 66: 狗(dog) 67: 海豚(dolphin) 68: 甜甜圈(donut) 69: 门(door) 70: 门把手(door handle) 71: 龙(dragon) 72: 鸭子(duck) 73: 耳朵(ear) 74: 大象(elephant) 75: 信封(envelope) 76: 眼睛(eye) 77: 眼镜(eyeglasses) 78: 脸(face) 79: 风扇(fan) 80: 羽毛(feather) 81: 消防栓(fire hydrant) 82: 鱼(fish) 83: 手电筒(flashlight) 84: 落地灯(floor lamp) 85: 带茎花朵(flower with stem) 86: 飞鸟(flying bird) 87: 飞碟(flying saucer) 88: 脚(foot) 89: 叉子(fork) 90: 青蛙(frog) 91: 煎锅(frying-pan) 92: 长颈鹿(giraffe) 93: 葡萄(grapes) 94: 手榴弹(grenade) 95: 吉他(guitar) 96: 汉堡包(hamburger) 97: 锤子(hammer) 98: 手(hand) 99: 竖琴(harp) 100: 帽子(hat) 101: 头部(head) 102: 耳机(head-phones) 103: 刺猬(hedgehog) 104: 直升机(helicopter) 105: 头盔(helmet) 106: 马(horse) 107: 热气球(hot air balloon) 108: 热狗(hot-dog) 109: 沙漏(hourglass) 110: 房屋(house) 111: 人体骨骼(human-skeleton) 112: 冰淇淋甜筒(ice-cream-cone) 113: iPod(ipod) 114: 袋鼠(kangaroo) 115: 钥匙(key) 116: 键盘(keyboard) 117: 刀(knife) 118: 梯子(ladder) 119: 笔记本电脑(laptop) 120: 树叶(leaf) 121: 灯泡(lightbulb) 122: 打火机(lighter) 123: 狮子(lion) 124: 龙虾(lobster) 125: 扬声器(loudspeaker) 126: 邮箱(mailbox) 127: 扩音器(megaphone) 128: 美人鱼(mermaid) 129: 麦克风(microphone) 130: 显微镜(microscope) 131: 猴子(monkey) 132: 月球(moon) 133: 蚊子(mosquito) 134: 摩托车(motorbike) 135: 老鼠(动物)(mouse (animal)) 136: 嘴巴(mouth) 137: 马克杯(mug) 138: 蘑菇(mushroom) 139: 鼻子(nose) 140: 章鱼(octopus) 141: 猫头鹰(owl) 142: 棕榈树(palm tree) 143: 熊猫(panda) 144: 回形针(paper clip) 145: 降落伞(parachute) 146: 停车计时器(parking meter) 147: 鹦鹉(parrot) 148: 梨(pear) 149: 钢笔(pen) 150: 企鹅(penguin) 151: 坐姿人物(person sitting) 152: 行走人物(person walking) 153: 钢琴(piano) 154: 皮卡卡车(pickup truck) 155: 猪(pig) 156: 鸽子(pigeon) 157: 菠萝(pineapple) 158: 烟管(pipe (for smoking)) 159: 披萨(pizza) 160: 盆栽植物(potted plant) 161: 电源插座(power outlet) 162: 礼物(present) 163: 椒盐脆饼(pretzel) 164: 南瓜(pumpkin) 165: 钱包(purse) 166: 兔子(rabbit) 167: 赛车(race car) 168: 收音机(radio) 169: 彩虹(rainbow) 170: 左轮手枪(revolver) 171: 步枪(rifle) 172: 直排轮滑鞋(rollerblades) 173: 公鸡(rooster) 174: 帆船(sailboat) 175: 圣诞老人(santa claus) 176: 卫星(satellite) 177: 卫星天线(satellite dish) 178: 萨克斯管(saxophone) 179: 剪刀(scissors) 180: 蝎子(scorpion) 181: 螺丝刀(screwdriver) 182: 海龟(sea turtle) 183: 海鸥(seagull) 184: 鲨鱼(shark) 185: 绵羊(sheep) 186: 船(ship) 187: 鞋子(shoe) 188: 铲子(shovel) 189: 滑板(skateboard) 190: 颅骨(skull) 191: 摩天大楼(skyscraper) 192: 蜗牛(snail) 193: 蛇(snake) 194: 滑雪板(snowboard) 195: 雪人(snowman) 196: 袜子(socks) 197: 航天飞机(space shuttle) 198: 快艇(speed-boat) 199: 蜘蛛(spider) 200: 海绵宝宝(sponge bob) 201: 勺子(spoon) 202: 松鼠(squirrel) 203: 站立鸟类(standing bird) 204: 订书机(stapler) 205: 草莓(strawberry) 206: 路灯(streetlight) 207: 潜艇(submarine) 208: 行李箱(suitcase) 209: 太阳(sun) 210: 运动型多用途汽车(suv) 211: 天鹅(swan) 212: 剑(sword) 213: 注射器(syringe) 214: T恤(t-shirt) 215: 桌子(table) 216: 台灯(tablelamp) 217: 茶杯(teacup) 218: 茶壶(teapot) 219: 泰迪熊(teddy-bear) 220: 电话(telephone) 221: 网球拍(tennis-racket) 222: 帐篷(tent) 223: 老虎(tiger) 224: 轮胎(tire) 225: 厕所(toilet) 226: 番茄(tomato) 227: 牙齿(tooth) 228: 牙刷(toothbrush) 229: 拖拉机(tractor) 230: 交通信号灯(traffic light) 231: 火车(train) 232: 树(tree) 233: 长号(trombone) 234: 裤子(trousers) 235: 卡车(truck) 236: 小号(trumpet) 237: 电视机(tv) 238: 雨伞(umbrella) 239: 厢式货车(van) 240: 花瓶(vase) 241: 小提琴(violin) 242: 对讲机(walkie talkie) 243: 车轮(wheel) 244: 手推车(wheelbarrow) 245: 风车(windmill) 246: 葡萄酒瓶(wine-bottle) 247: 葡萄酒杯(wineglass) 248: 手表(wrist-watch) 249: 斑马(zebra) - 名称:svg,数据类型:字符串 拆分集: - 名称:train,字节数:82640829.32506625,样本数量:15999 - 名称:test,字节数:20661498.674933746,样本数量:4000 下载大小:65748314 字节 数据集总大小:103302328.0 字节 --- # "柏林工业大学SVG数据集(tu-berlin-svgs)"数据集卡片 [需补充更多信息](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

提供机构:
kmewhort
原始信息汇总

数据集概述

数据集名称

  • tu-berlin-svgs

数据集特征

  • label: 类别标签,包含249个类别,如0: airplane, 1: alarm clock, 等。
  • svg: 数据类型为字符串。

数据集划分

  • train: 包含15999个样本,数据大小为82640829.32506625字节。
  • test: 包含4000个样本,数据大小为20661498.674933746字节。

数据集大小

  • 下载大小: 65748314字节
  • 数据集总大小: 103302328.0字节
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