
# Dataset Card for Roman Urdu Dataset

## 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

- **Repository:** [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/Roman+Urdu+Data+Set)
- **Point of Contact:** [Zareen Sharf](mailto:zareensharf76@gmail.com)

### Dataset Summary

[More Information Needed]

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

Urdu

## Dataset Structure

[More Information Needed]

### Data Instances

```
Wah je wah,Positive,
```

### Data Fields

Each row consists of a short Urdu text, followed by a sentiment label. The labels are one of `Positive`, `Negative`, and `Neutral`. Note that the original source file is a comma-separated values file.

* `sentence`: A short Urdu text
* `label`: One of `Positive`, `Negative`, and `Neutral`, indicating the polarity of the sentiment expressed in the sentence

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

[More Information Needed]

#### 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

```
@InProceedings{Sharf:2018,
  title     = "Performing Natural Language Processing on Roman Urdu Datasets",
  authors   = "Zareen Sharf and Saif Ur Rahman",
  booktitle = "International Journal of Computer Science and Network Security",
  volume    = "18",
  number    = "1",
  pages     = "141-148",
  year      = "2018"
}

@misc{Dua:2019,
  author      = "Dua, Dheeru and Graff, Casey",
  year        = "2017",
  title       = "{UCI} Machine Learning Repository",
  url         = "http://archive.ics.uci.edu/ml",
  institution = "University of California, Irvine, School of Information and Computer Sciences"
}
```

### Contributions

Thanks to [@jaketae](https://github.com/jaketae) for adding this dataset.
task_categories:text-classification task_ids:sentiment-classification annotations_creators:crowdsourced language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:ur license:unknown region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["ur"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "paperswithcode_id": "roman-urdu-data-set", "pretty_name": "Roman Urdu Dataset", "dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "sentiment", "dtype": {"class_label": {"names": {"0": "Positive", "1": "Negative", "2": "Neutral"}}}}], "splits": [{"name": "train", "num_bytes": 1633423, "num_examples": 20229}], "download_size": 1628349, "dataset_size": 1633423}}
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Urdu #license-unknown #region-us 


# Dataset Card for Roman Urdu Dataset

## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Repository: UCI Machine Learning Repository
- Point of Contact: Zareen Sharf

### Dataset Summary



### Supported Tasks and Leaderboards



### Languages

Urdu

## Dataset Structure



### Data Instances



### Data Fields

Each row consists of a short Urdu text, followed by a sentiment label. The labels are one of 'Positive', 'Negative', and 'Neutral'. Note that the original source file is a comma-separated values file.

* 'sentence': A short Urdu text
* 'label': One of 'Positive', 'Negative', and 'Neutral', indicating the polarity of the sentiment expressed in the sentence

## Dataset Creation

### Curation Rationale



### Source Data



#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information







### Contributions

Thanks to @jaketae for adding this dataset.
# Dataset Card for Roman Urdu Dataset ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Repository: UCI Machine Learning Repository
- Point of Contact: Zareen Sharf ### Dataset Summary ### Supported Tasks and Leaderboards ### Languages

Urdu ## Dataset Structure ### Data Instances ### Data Fields

Each row consists of a short Urdu text, followed by a sentiment label. The labels are one of 'Positive', 'Negative', and 'Neutral'. Note that the original source file is a comma-separated values file.

* 'sentence': A short Urdu text
* 'label': One of 'Positive', 'Negative', and 'Neutral', indicating the polarity of the sentiment expressed in the sentence ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions

Thanks to @jaketae for adding this dataset.
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Urdu #license-unknown #region-us 
 # Dataset Card for Roman Urdu Dataset ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Repository: UCI Machine Learning Repository
- Point of Contact: Zareen Sharf ### Dataset Summary ### Supported Tasks and Leaderboards ### Languages

Urdu ## Dataset Structure ### Data Instances ### Data Fields

Each row consists of a short Urdu text, followed by a sentiment label. The labels are one of 'Positive', 'Negative', and 'Neutral'. Note that the original source file is a comma-separated values file.

* 'sentence': A short Urdu text
* 'label': One of 'Positive', 'Negative', and 'Neutral', indicating the polarity of the sentiment expressed in the sentence ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions

Thanks to @jaketae for adding this dataset.