task_categories:text-classification task_ids:sentiment-classification annotations_creators:found language_creators:machine-generated multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:ur license:odbl region:us
Large Movie translated Urdu Reviews Dataset.
This is a dataset for binary sentiment classification containing substantially more data than previous
benchmark datasets. We provide a set of 40,000 highly polar movie reviews for training, and 10,000 for testing.
To increase the availability of sentiment analysis dataset for a low recourse language like Urdu,
we opted to use the already available IMDB Dataset. we have translated this dataset using google translator.
This is a binary classification dataset having two classes as positive and negative.
The reason behind using this dataset is high polarity for each class.
It contains 50k samples equally divided in two classes.
@InProceedings{maas-EtAl:2011:ACL-HLT2011,
  author    = {Maas, Andrew L. and Daly,nRaymond E. and Pham, Peter T. and Huang, Dan and Ng, Andrew Y...},
  title     = {Learning Word Vectors for Sentiment Analysis},
  month     = {June},
  year      = {2011},
  address   = {Portland, Oregon, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {142--150},
  url       = {http://www.aclweb.org/anthology/P11-1015}
}
---
annotations_creators:
- found
language_creators:
- machine-generated
language:
- ur
license:
- odbl
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
pretty_name: ImDB Urdu Reviews
dataset_info:
  features:
  - name: sentence
    dtype: string
  - name: sentiment
    dtype:
      class_label:
        names:
          '0': positive
          '1': negative
  splits:
  - name: train
    num_bytes: 114670811
    num_examples: 50000
  download_size: 31510992
  dataset_size: 114670811
---

# Dataset Card for ImDB Urdu Reviews

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [Github](https://github.com/mirfan899/Urdu)
- **Repository:** [Github](https://github.com/mirfan899/Urdu)
- **Paper:** [Aclweb](http://www.aclweb.org/anthology/P11-1015)
- **Leaderboard:**
- **Point of Contact:** [Ikram Ali](https://github.com/akkefa)

### Dataset Summary

[More Information Needed]

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

- sentence: The movie review which was translated into Urdu.
- sentiment: The sentiment exhibited in the review, either positive or negative.

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

Thanks to [@chaitnayabasava](https://github.com/chaitnayabasava) for adding this dataset.