arieg/bw_spec_cls_80_11

---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': '27855'
'1': '27856'
'2': '27866'
'3': '27945'
'4': '27953'
'5': '27975'
'6': '27978'
'7': '27981'
'8': '27987'
'9': '28241'
'10': '28260'
'11': '28477'
'12': '28478'
'13': '28479'
'14': '28480'
'15': '28481'
'16': '28482'
'17': '28483'
'18': '28484'
'19': '28485'
'20': '28546'
'21': '28548'
'22': '28553'
'23': '28571'
'24': '28608'
'25': '29045'
'26': '29128'
'27': '29180'
'28': '29243'
'29': '29245'
'30': '29255'
'31': '29271'
'32': '29272'
'33': '29355'
'34': '29465'
'35': '29480'
'36': '29587'
'37': '29602'
'38': '29673'
'39': '29718'
'40': '29719'
'41': '29720'
'42': '29721'
'43': '29738'
'44': '29739'
'45': '29740'
'46': '29741'
'47': '29742'
'48': '29744'
'49': '29745'
'50': '29746'
'51': '29747'
'52': '29750'
'53': '29752'
'54': '29807'
'55': '29813'
'56': '29816'
'57': '29961'
'58': '29971'
'59': '30041'
'60': '30043'
'61': '30050'
'62': '30056'
'63': '30058'
'64': '30059'
'65': '30090'
'66': '30095'
'67': '30120'
'68': '30196'
'69': '30198'
'70': '30230'
'71': '30486'
'72': '30487'
'73': '30488'
'74': '30519'
'75': '30520'
'76': '30521'
'77': '30522'
'78': '30636'
'79': '30690'
splits:
- name: train
num_bytes: 89109867.2
num_examples: 1600
download_size: 88188426
dataset_size: 89109867.2
---
# Dataset Card for "bw_spec_cls_80_11"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

原始信息汇总

数据集概述

配置信息

• 配置名称: default
• 数据文件:
  • 分割: train
  • 路径: data/train-*

数据集信息

• 特征:
  • 名称: image
    • 数据类型: image
  • 名称: label
    • 数据类型: class_label
    • 标签名称:
      • 0: 27855
      • 1: 27856
      • 2: 27866
      • 3: 27945
      • 4: 27953
      • 5: 27975
      • 6: 27978
      • 7: 27981
      • 8: 27987
      • 9: 28241
      • 10: 28260
      • 11: 28477
      • 12: 28478
      • 13: 28479
      • 14: 28480
      • 15: 28481
      • 16: 28482
      • 17: 28483
      • 18: 28484
      • 19: 28485
      • 20: 28546
      • 21: 28548
      • 22: 28553
      • 23: 28571
      • 24: 28608
      • 25: 29045
      • 26: 29128
      • 27: 29180
      • 28: 29243
      • 29: 29245
      • 30: 29255
      • 31: 29271
      • 32: 29272
      • 33: 29355
      • 34: 29465
      • 35: 29480
      • 36: 29587
      • 37: 29602
      • 38: 29673
      • 39: 29718
      • 40: 29719
      • 41: 29720
      • 42: 29721
      • 43: 29738
      • 44: 29739
      • 45: 29740
      • 46: 29741
      • 47: 29742
      • 48: 29744
      • 49: 29745
      • 50: 29746
      • 51: 29747
      • 52: 29750
      • 53: 29752
      • 54: 29807
      • 55: 29813
      • 56: 29816
      • 57: 29961
      • 58: 29971
      • 59: 30041
      • 60: 30043
      • 61: 30050
      • 62: 30056
      • 63: 30058
      • 64: 30059
      • 65: 30090
      • 66: 30095
      • 67: 30120
      • 68: 30196
      • 69: 30198
      • 70: 30230
      • 71: 30486
      • 72: 30487
      • 73: 30488
      • 74: 30519
      • 75: 30520
      • 76: 30521
      • 77: 30522
      • 78: 30636
      • 79: 30690

分割信息

• 名称: train
  • 字节数: 89109867.2
  • 样本数: 1600

数据集大小

• 下载大小: 88188426
• 数据集大小: 89109867.2