---
title: IMDb
canonical_url: "https://www.modelscope.cn/datasets/OmniData/IMDb"
md_url: "https://www.modelscope.cn/datasets/OmniData/IMDb.md"
repository: OmniData/IMDb
last_updated: 2024-07-08
license: "[IMDb Custom]"
storage_size: "880 MB"
domain:
  - publishDate
  - labelTypes
  - publishUrl
  - displayName
  - taskTypes
  - publisher
  - mediaTypes
tasks:
  - 2011
  - Classification
  - "https://www.imdb.com/interfaces/"
  - IMDb
  - "Sentiment Analysis"
  - "Stanford University"
  - Text
downloads: 37
stars: 0
---

# IMDb

> IMDb - OmniData 在 ModelScope 开源的数据集。displayName: IMDb labelTypes: Classification license: IMDb Custom mediaTypes: Text paperUrl: "" publishDate: "2011" publishUrl: https://www.imdb.com/interfaces/ publisher: Stanford University tags: Text taskTypes:…

OmniData/IMDb 是 ModelScope 魔搭社区上的2011、Classification、https://www.imdb.com/interfaces/数据集，涉及 publishDate、labelTypes、publishUrl 领域，存储大小 880 MB，采用 [IMDb Custom] 许可。

- **Repository**: OmniData/IMDb
- **License**: [IMDb Custom]
- **Tasks**: 2011, Classification, https://www.imdb.com/interfaces/, IMDb, Sentiment Analysis, Stanford University, Text
- **Domain**: publishDate, labelTypes, publishUrl, displayName, taskTypes, publisher, mediaTypes
- **Storage size**: 880 MB
- **Downloads**: 37
- **Stars**: 0
- **Last updated**: 2024-07-08

Source: https://www.modelscope.cn/datasets/OmniData/IMDb

---

displayName: IMDb
labelTypes:
- Classification
license:
- IMDb Custom
mediaTypes:
- Text
paperUrl: ""
publishDate: "2011"
publishUrl: https://www.imdb.com/interfaces/
publisher:
- Stanford University
tags:
- Text
taskTypes:
- Sentiment Analysis

---
# 数据集介绍
  ## 简介
  一个全面的电影数据库，包含从发行日期到重要接收的信息。
  ## 类定义
  ```
pos/neg
```
  ## 引文
  ```
@InProceedings{maas-EtAl:2011:ACL-HLT2011,
  author    = {Maas, Andrew L.  and  Daly, Raymond E.  and  Pham, Peter T.  and  Huang, Dan  and  Ng, Andrew Y.  and  Potts, Christopher},
  title     = {Learning Word Vectors for Sentiment Analysis},
  booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},
  month     = {June},
  year      = {2011},
  address   = {Portland, Oregon, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {142--150},
  url       = {http://www.aclweb.org/anthology/P11-1015}
}
```
  
## Download dataset
:modelscope-code[]{type="git"}