james-burton/OrientalMuseum_min4-white-mat

---
dataset_info:
features:
- name: obj_num
dtype: string
- name: file
dtype: string
- name: image
dtype: image
- name: root
dtype: string
- name: description
dtype: string
- name: object_name
dtype: string
- name: other_name
dtype: string
- name: label
dtype:
class_label:
names:
'0': Actinolite
'1': Aluminium bronze alloy
'2': Animal Mummy
'3': Batik
'4': Buffalo Horn
'5': Chinese Red Rosewood
'6': Colour on Paper
'7': Flint/Chert
'8': Gouache on Paper
'9': Haematite/Red Ochre
'10': Human Bone
'11': Ink and Colour on Paper
'12': Ink and Colours on Silk
'13': Ink and Opaque Watercolour on Paper
'14': Ink on Paper
'15': Jade (Calcified)
'16': Japanese paper
'17': Microcline/Green Feldspar/Amazon-Stone
'18': Nile Mud
'19': Opaque Watercolour and Gilt on Paper
'20': Opaque Watercolour on Paper
'21': Opaque Watercolour or Gouache on Mica
'22': Pith
'23': Pith Paper
'24': Plant Product
'25': Resin/Plastic
'26': Rhinoceros Horn
'27': Shell (Ostrich Egg)
'28': Smaragdite
'29': Steatite
'30': Steatite/Soap Stone
'31': Watercolour on Rice Paper
'32': acrylic
'33': agate
'34': alabaster
'35': aluminum
'36': amber
'37': amethyst
'38': antler
'39': artificial stone
'40': balsa
'41': bamboo
'42': basalt
'43': bone
'44': bowenite
'45': boxwood
'46': brass
'47': brocade
'48': bronze
'49': burnt jade
'50': canvas
'51': cardboard
'52': cards
'53': carnelian
'54': cast iron
'55': celadon
'56': cellulose acetate
'57': ceramic
'58': chalcedony
'59': cherry
'60': clay
'61': cloth
'62': coconut
'63': copper
'64': copper alloy
'65': coral
'66': cotton
'67': crystal
'68': diorite
'69': dolerite
'70': earthenware
'71': ebony
'72': emerald
'73': enamel
'74': faience
'75': felt
'76': flax
'77': flint
'78': gauze
'79': glass
'80': gold
'81': granite
'82': gray ware
'83': hardwood
'84': horn
'85': incense
'86': ink
'87': iron
'88': ivory
'89': jade
'90': jadeite
'91': jasper
'92': lacquer
'93': lapis lazuli
'94': lazurite
'95': lead
'96': lead alloy
'97': leather
'98': limestone
'99': linen
'100': malachite
'101': marble
'102': metal
'103': mineral
'104': mother of pearl
'105': muslin
'106': nephrite
'107': nylon
'108': obsidian
'109': organic material
'110': organza
'111': paint
'112': palm fiber
'113': palm leaf
'114': paper
'115': papier mâché
'116': papyrus
'117': pewter
'118': photographic paper
'119': pine
'120': plant fiber
'121': plaster
'122': plastic
'123': plate
'124': polyester
'125': polystyrene
'126': porcelain
'127': pottery
'128': quartzite
'129': rattan
'130': realgar
'131': reed
'132': rice paper
'133': rock
'134': rush
'135': sandstone
'136': satin
'137': schist
'138': seashell
'139': serpentine
'140': shagreen
'141': shell
'142': silk
'143': siltstone
'144': silver
'145': silver alloy
'146': skull
'147': slate
'148': soapstone
'149': softwood
'150': stalagmites
'151': steel
'152': stone
'153': stoneware
'154': straw
'155': stucco
'156': sycamore
'157': synthetic fiber
'158': teak
'159': terracotta
'160': textiles
'161': tin
'162': tortoise shell
'163': tourmaline
'164': travertine
'165': tremolite
'166': turquoise
'167': velvet
'168': wood
'169': wool
'170': wrought iron
'171': zinc alloy
- name: production.period
dtype: string
- name: production.place
dtype: string
- name: new_root
dtype: string
splits:
- name: train
num_bytes: 646369556.254
num_examples: 23083
- name: validation
num_bytes: 182535306.672
num_examples: 5432
- name: test
num_bytes: 166408429.856
num_examples: 5432
download_size: 951074067
dataset_size: 995313292.7819998
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---

原始信息汇总

数据集概述

数据特征

• obj_num: 字符串类型
• file: 字符串类型
• image: 图像类型
• root: 字符串类型
• description: 字符串类型
• object_name: 字符串类型
• other_name: 字符串类型
• label: 分类标签类型
  • class_label: 包含多个类别名称，如：
    • 0: Actinolite
    • 1: Aluminium bronze alloy
    • ...
    • 171: zinc alloy
• production.period: 字符串类型
• production.place: 字符串类型
• new_root: 字符串类型

数据分割

• train: 包含23083个样本，大小为646369556.254字节
• validation: 包含5432个样本，大小为182535306.672字节
• test: 包含5432个样本，大小为166408429.856字节

数据集大小

• 下载大小: 951074067字节
• 数据集大小: 995313292.7819998字节

配置

• config_name: default
  • data_files:
    • train: 路径为data/train-*
    • validation: 路径为data/validation-*
    • test: 路径为data/test-*