arieg/cluster20_large_150

---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': 000197
'1': '003264'
'2': '003537'
'3': '004450'
'4': '005376'
'5': 005936
'6': 022097
'7': '022150'
'8': 044851
'9': '046717'
'10': 046718
'11': '046720'
'12': 051269
'13': 052380
'14': '055710'
'15': '061006'
'16': '061007'
'17': '061011'
'18': '062742'
'19': 064091
'20': 064993
'21': 075975
'22': 081436
'23': 081457
'24': 081814
'25': 085956
'26': 087104
'27': 088872
'28': 092948
'29': 093712
'30': 093915
'31': 093941
'32': 097961
'33': 099274
'34': '108019'
'35': '108024'
'36': '108026'
'37': '108476'
'38': '109144'
'39': '110209'
'40': '110630'
'41': '111224'
'42': '111229'
'43': '112088'
'44': '114533'
'45': '115470'
'46': '115769'
'47': '115773'
'48': '116101'
'49': '116869'
'50': '117159'
'51': '117626'
'52': '121660'
'53': '121987'
'54': '122651'
'55': '124875'
'56': '125659'
'57': '125809'
'58': '125827'
'59': '126014'
'60': '126185'
'61': '126234'
'62': '126321'
'63': '126409'
'64': '126416'
'65': '126716'
'66': '128813'
'67': '128878'
'68': '129189'
'69': '129190'
'70': '130933'
'71': '130990'
'72': '131326'
'73': '131327'
'74': '133546'
'75': '133572'
'76': '133580'
'77': '133942'
'78': '138018'
'79': '138019'
'80': '141876'
'81': '144492'
'82': '145002'
'83': '149142'
'84': '150064'
splits:
- name: train
num_bytes: 652831276.0
num_examples: 12750
download_size: 610809116
dataset_size: 652831276.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

原始信息汇总

数据集概述

数据特征

• 图像 (image): 数据类型为图像。
• 标签 (label): 数据类型为类别标签，包含85个不同的类别名称，具体如下：
  • 0: 000197
  • 1: 003264
  • 2: 003537
  • 3: 004450
  • 4: 005376
  • 5: 005936
  • 6: 022097
  • 7: 022150
  • 8: 044851
  • 9: 046717
  • 10: 046718
  • 11: 046720
  • 12: 051269
  • 13: 052380
  • 14: 055710
  • 15: 061006
  • 16: 061007
  • 17: 061011
  • 18: 062742
  • 19: 064091
  • 20: 064993
  • 21: 075975
  • 22: 081436
  • 23: 081457
  • 24: 081814
  • 25: 085956
  • 26: 087104
  • 27: 088872
  • 28: 092948
  • 29: 093712
  • 30: 093915
  • 31: 093941
  • 32: 097961
  • 33: 099274
  • 34: 108019
  • 35: 108024
  • 36: 108026
  • 37: 108476
  • 38: 109144
  • 39: 110209
  • 40: 110630
  • 41: 111224
  • 42: 111229
  • 43: 112088
  • 44: 114533
  • 45: 115470
  • 46: 115769
  • 47: 115773
  • 48: 116101
  • 49: 116869
  • 50: 117159
  • 51: 117626
  • 52: 121660
  • 53: 121987
  • 54: 122651
  • 55: 124875
  • 56: 125659
  • 57: 125809
  • 58: 125827
  • 59: 126014
  • 60: 126185
  • 61: 126234
  • 62: 126321
  • 63: 126409
  • 64: 126416
  • 65: 126716
  • 66: 128813
  • 67: 128878
  • 68: 129189
  • 69: 129190
  • 70: 130933
  • 71: 130990
  • 72: 131326
  • 73: 131327
  • 74: 133546
  • 75: 133572
  • 76: 133580
  • 77: 133942
  • 78: 138018
  • 79: 138019
  • 80: 141876
  • 81: 144492
  • 82: 145002
  • 83: 149142
  • 84: 150064

数据分割

• 训练集 (train): 包含12750个样本，占用652831276.0字节。

数据集大小

• 下载大小: 610809116字节
• 数据集大小: 652831276.0字节

配置

• 默认配置 (default):
  • 数据文件路径: data/train-*