TangTide/test

---
dataset_info:
- config_name: fold_1
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 2161790.975476839
num_examples: 1485
- name: validation
num_bytes: 241654.74877384197
num_examples: 166
download_size: 1347466
dataset_size: 2403445.724250681
- config_name: fold_10
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 2163246.726975477
num_examples: 1486
- name: validation
num_bytes: 240198.99727520437
num_examples: 165
download_size: 1345568
dataset_size: 2403445.724250681
- config_name: fold_2
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 2163246.726975477
num_examples: 1486
- name: validation
num_bytes: 240198.99727520437
num_examples: 165
download_size: 1344944
dataset_size: 2403445.724250681
- config_name: fold_3
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 2163246.726975477
num_examples: 1486
- name: validation
num_bytes: 240198.99727520437
num_examples: 165
download_size: 1348072
dataset_size: 2403445.724250681
- config_name: fold_4
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 2163246.726975477
num_examples: 1486
- name: validation
num_bytes: 240198.99727520437
num_examples: 165
download_size: 1344011
dataset_size: 2403445.724250681
- config_name: fold_5
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 2163246.726975477
num_examples: 1486
- name: validation
num_bytes: 240198.99727520437
num_examples: 165
download_size: 1341968
dataset_size: 2403445.724250681
- config_name: fold_6
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 2163246.726975477
num_examples: 1486
- name: validation
num_bytes: 240198.99727520437
num_examples: 165
download_size: 1345853
dataset_size: 2403445.724250681
- config_name: fold_7
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 2163246.726975477
num_examples: 1486
- name: validation
num_bytes: 240198.99727520437
num_examples: 165
download_size: 1348368
dataset_size: 2403445.724250681
- config_name: fold_8
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 2163246.726975477
num_examples: 1486
- name: validation
num_bytes: 240198.99727520437
num_examples: 165
download_size: 1348384
dataset_size: 2403445.724250681
- config_name: fold_9
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 2163246.726975477
num_examples: 1486
- name: validation
num_bytes: 240198.99727520437
num_examples: 165
download_size: 1347848
dataset_size: 2403445.724250681
- config_name: test
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: test
num_bytes: 240198.99727520437
num_examples: 165
download_size: 141768
dataset_size: 240198.99727520437
configs:
- config_name: fold_1
data_files:
- split: train
path: fold_1/train-*
- split: validation
path: fold_1/validation-*
- config_name: fold_10
data_files:
- split: train
path: fold_10/train-*
- split: validation
path: fold_10/validation-*
- config_name: fold_2
data_files:
- split: train
path: fold_2/train-*
- split: validation
path: fold_2/validation-*
- config_name: fold_3
data_files:
- split: train
path: fold_3/train-*
- split: validation
path: fold_3/validation-*
- config_name: fold_4
data_files:
- split: train
path: fold_4/train-*
- split: validation
path: fold_4/validation-*
- config_name: fold_5
data_files:
- split: train
path: fold_5/train-*
- split: validation
path: fold_5/validation-*
- config_name: fold_6
data_files:
- split: train
path: fold_6/train-*
- split: validation
path: fold_6/validation-*
- config_name: fold_7
data_files:
- split: train
path: fold_7/train-*
- split: validation
path: fold_7/validation-*
- config_name: fold_8
data_files:
- split: train
path: fold_8/train-*
- split: validation
path: fold_8/validation-*
- config_name: fold_9
data_files:
- split: train
path: fold_9/train-*
- split: validation
path: fold_9/validation-*
- config_name: test
data_files:
- split: test
path: test/test-*
---

原始信息汇总

数据集概述

数据集配置

fold_1

• 特征:
  • text: 类型为 string
  • label: 类型为 int64
• 分割:
  • train: 字节数为 2161790.975476839，样本数为 1485
  • validation: 字节数为 241654.74877384197，样本数为 166
• 下载大小: 1347466 字节
• 数据集大小: 2403445.724250681 字节

fold_10

• 特征:
  • text: 类型为 string
  • label: 类型为 int64
• 分割:
  • train: 字节数为 2163246.726975477，样本数为 1486
  • validation: 字节数为 240198.99727520437，样本数为 165
• 下载大小: 1345568 字节
• 数据集大小: 2403445.724250681 字节

fold_2

• 特征:
  • text: 类型为 string
  • label: 类型为 int64
• 分割:
  • train: 字节数为 2163246.726975477，样本数为 1486
  • validation: 字节数为 240198.99727520437，样本数为 165
• 下载大小: 1344944 字节
• 数据集大小: 2403445.724250681 字节

fold_3

• 特征:
  • text: 类型为 string
  • label: 类型为 int64
• 分割:
  • train: 字节数为 2163246.726975477，样本数为 1486
  • validation: 字节数为 240198.99727520437，样本数为 165
• 下载大小: 1348072 字节
• 数据集大小: 2403445.724250681 字节

fold_4

• 特征:
  • text: 类型为 string
  • label: 类型为 int64
• 分割:
  • train: 字节数为 2163246.726975477，样本数为 1486
  • validation: 字节数为 240198.99727520437，样本数为 165
• 下载大小: 1344011 字节
• 数据集大小: 2403445.724250681 字节

fold_5

• 特征:
  • text: 类型为 string
  • label: 类型为 int64
• 分割:
  • train: 字节数为 2163246.726975477，样本数为 1486
  • validation: 字节数为 240198.99727520437，样本数为 165
• 下载大小: 1341968 字节
• 数据集大小: 2403445.724250681 字节

fold_6

• 特征:
  • text: 类型为 string
  • label: 类型为 int64
• 分割:
  • train: 字节数为 2163246.726975477，样本数为 1486
  • validation: 字节数为 240198.99727520437，样本数为 165
• 下载大小: 1345853 字节
• 数据集大小: 2403445.724250681 字节

fold_7

• 特征:
  • text: 类型为 string
  • label: 类型为 int64
• 分割:
  • train: 字节数为 2163246.726975477，样本数为 1486
  • validation: 字节数为 240198.99727520437，样本数为 165
• 下载大小: 1348368 字节
• 数据集大小: 2403445.724250681 字节

fold_8

• 特征:
  • text: 类型为 string
  • label: 类型为 int64
• 分割:
  • train: 字节数为 2163246.726975477，样本数为 1486
  • validation: 字节数为 240198.99727520437，样本数为 165
• 下载大小: 1348384 字节
• 数据集大小: 2403445.724250681 字节

fold_9

• 特征:
  • text: 类型为 string
  • label: 类型为 int64
• 分割:
  • train: 字节数为 2163246.726975477，样本数为 1486
  • validation: 字节数为 240198.99727520437，样本数为 165
• 下载大小: 1347848 字节
• 数据集大小: 2403445.724250681 字节

test

• 特征:
  • text: 类型为 string
  • label: 类型为 int64
• 分割:
  • test: 字节数为 240198.99727520437，样本数为 165
• 下载大小: 141768 字节
• 数据集大小: 240198.99727520437 字节