yuan-sf63/word_label_0.2_96_Nf

---
dataset_info:
features:
- name: text
dtype: string
- name: '0'
dtype: int64
- name: '1'
dtype: int64
- name: '2'
dtype: int64
- name: '3'
dtype: int64
- name: '4'
dtype: int64
- name: '5'
dtype: int64
- name: '6'
dtype: int64
- name: '7'
dtype: int64
- name: '8'
dtype: int64
- name: '9'
dtype: int64
- name: '10'
dtype: int64
- name: '11'
dtype: int64
- name: '12'
dtype: int64
- name: '13'
dtype: int64
- name: '14'
dtype: int64
- name: '15'
dtype: int64
- name: '16'
dtype: int64
- name: '17'
dtype: int64
- name: '18'
dtype: int64
- name: '19'
dtype: int64
- name: '20'
dtype: int64
- name: '21'
dtype: int64
- name: '22'
dtype: int64
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dtype: int64
- name: '24'
dtype: int64
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dtype: int64
- name: '26'
dtype: int64
- name: '27'
dtype: int64
- name: '28'
dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
- name: '44'
dtype: int64
- name: '45'
dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
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dtype: int64
- name: '55'
dtype: int64
- name: '56'
dtype: int64
- name: '57'
dtype: int64
- name: '58'
dtype: int64
- name: '59'
dtype: int64
- name: '60'
dtype: int64
- name: '61'
dtype: int64
- name: '62'
dtype: int64
- name: '63'
dtype: int64
- name: '64'
dtype: int64
- name: '65'
dtype: int64
- name: '66'
dtype: int64
- name: '67'
dtype: int64
- name: '68'
dtype: int64
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dtype: int64
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dtype: int64
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- name: '75'
dtype: int64
- name: '76'
dtype: int64
- name: '77'
dtype: int64
- name: '78'
dtype: int64
- name: '79'
dtype: int64
- name: '80'
dtype: int64
- name: '81'
dtype: int64
- name: '82'
dtype: int64
- name: '83'
dtype: int64
- name: '84'
dtype: int64
- name: '85'
dtype: int64
- name: '86'
dtype: int64
- name: '87'
dtype: int64
- name: '88'
dtype: int64
- name: '89'
dtype: int64
- name: '90'
dtype: int64
- name: '91'
dtype: int64
- name: '92'
dtype: int64
- name: '93'
dtype: int64
- name: '94'
dtype: int64
- name: '95'
dtype: int64
splits:
- name: train
num_bytes: 64386035.41674926
num_examples: 71734
- name: validation
num_bytes: 7154502.583250737
num_examples: 7971
download_size: 10608080
dataset_size: 71540538.0
---
# Dataset Card for "word_label_0.2_96_Nf"

[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

数据集特征

• text：字符串类型
• 数字列：从0到95共96列，均为整数类型（int64）

数据集分割

• 训练集：包含71,734个样本，总大小为64,386,035.42字节
• 验证集：包含7,971个样本，总大小为7,154,502.58字节

数据集大小

• 下载大小：10,608,080字节
• 数据集总大小：71,540,538.0字节