davanstrien/test_imdb_embedd2

---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets: imdb
task_categories:
- text-classification
task_ids:
- sentiment-classification
paperswithcode_id: imdb-movie-reviews
pretty_name: IMDB
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
0: neg
1: pos
config_name: plain_text
splits:
- name: train
num_bytes: 33432835
num_examples: 25000
- name: test
num_bytes: 32650697
num_examples: 25000
- name: unsupervised
num_bytes: 67106814
num_examples: 50000
download_size: 84125825
dataset_size: 133190346
train-eval-index:
- config: plain_text
task: text-classification
task_id: binary_classification
splits:
train_split: train
eval_split: test
col_mapping:
text: text
label: target
metrics:
- type: accuracy
- name: Accuracy
- type: f1
name: F1 macro
args:
average: macro
- type: f1
name: F1 micro
args:
average: micro
- type: f1
name: F1 weighted
args:
average: weighted
- type: precision
name: Precision macro
args:
average: macro
- type: precision
name: Precision micro
args:
average: micro
- type: precision
name: Precision weighted
args:
average: weighted
- type: recall
name: Recall macro
args:
average: macro
- type: recall
name: Recall micro
args:
average: micro
- type: recall
name: Recall weighted
args:
average: weighted
---
# Dataset Card for "test_imdb_embedd2"

[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

基本信息

• 名称: IMDB
• 语言: 英语 (en)
• 多语言性: 单语
• 许可证: 其他
• 大小: 10K<n<100K
• 源数据集: imdb
• 任务类别: 文本分类
• 任务ID: 情感分类

数据集内容

• 特征:
  • text: 数据类型为字符串
  • label: 数据类型为分类标签，包含两个类别：
    • 0: neg
    • 1: pos
• 配置名称: plain_text

数据集划分

• 训练集:
  • 示例数量: 25000
  • 字节数: 33432835
• 测试集:
  • 示例数量: 25000
  • 字节数: 32650697
• 无监督学习集:
  • 示例数量: 50000
  • 字节数: 67106814

数据集大小

• 下载大小: 84125825
• 数据集总大小: 133190346

训练与评估指标

• 配置: plain_text
• 任务: 文本分类
• 任务ID: binary_classification
• 训练与评估划分:
  • 训练集: train
  • 评估集: test
• 列映射:
  • text: text
  • label: target
• 评估指标:
  • 准确率 (Accuracy)
  • F1分数 (F1 macro, F1 micro, F1 weighted)
  • 精确率 (Precision macro, Precision micro, Precision weighted)
  • 召回率 (Recall macro, Recall micro, Recall weighted)