Veweew/subjectivity
收藏Hugging Face2026-04-01 更新2026-04-12 收录
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https://hf-mirror.com/datasets/Veweew/subjectivity
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资源简介:
---
language:
- en
license: cc-by-4.0
pretty_name: Subjectivity
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- text-classification
task_ids:
- multi-class-classification
---
# Subjectivity
This dataset is a Hugging Face Hub packaging of the NLTK `subjectivity` corpus,
which mirrors the Subjectivity Dataset v1.0 released by Bo Pang and Lillian Lee.
## Contents
- `train`: 10,000 text snippets
- Labels:
- `0` / `objective`: sentences from IMDb plot summaries
- `1` / `subjective`: snippets from Rotten Tomatoes reviews
## Notes
- The original corpus does not define official train/validation/test splits, so
this packaging preserves the full dataset as a single `train` split.
- Text is already lower-cased in the upstream corpus.
## Source
- NLTK data package: <https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/packages/corpora/subjectivity.zip>
- Original dataset page: <http://www.cs.cornell.edu/people/pabo/movie-review-data/>
## Citation
```bibtex
@InProceedings{Pang+Lee:04a,
author = {Bo Pang and Lillian Lee},
title = {A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts},
booktitle = {Proceedings of the ACL},
year = {2004}
}
```
language:
- 英语
license:
知识共享署名4.0(CC BY 4.0)
pretty_name:
主观性(Subjectivity)
configs:
- config_name: 默认(default)
data_files:
- split: 训练集(train)
path: data/train-*
task_categories:
- 文本分类(text-classification)
task_ids:
- 多分类任务(multi-class-classification)
# 主观性数据集(Subjectivity)
本数据集是针对自然语言工具包(Natural Language Toolkit,NLTK)的`subjectivity`语料库的拥抱脸Hub(Hugging Face Hub)封装版本,其复刻了由Bo Pang与Lillian Lee发布的1.0版主观性数据集(Subjectivity Dataset v1.0)。
## 数据集内容
- 训练集(train):10000条文本片段
- 标签说明:
- `0` / 客观(objective):源自互联网电影数据库(Internet Movie Database, IMDb)剧情简介的语句
- `1` / 主观(subjective):源自烂番茄(Rotten Tomatoes)影评的文本片段
## 注意事项
- 原始语料库未定义官方的训练、验证、测试拆分方式,因此本封装将完整数据集统一置于单个`train`拆分集中。
- 上游语料库中的文本已全部转为小写形式。
## 数据源
- NLTK数据包:<https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/packages/corpora/subjectivity.zip>
- 原始数据集页面:<http://www.cs.cornell.edu/people/pabo/movie-review-data/>
## 引用格式
bibtex
@InProceedings{Pang+Lee:04a,
author = {Bo Pang and Lillian Lee},
title = {A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts},
booktitle = {Proceedings of the ACL},
year = {2004}
}
提供机构:
Veweew


