
# Dataset Card for "tweetyface"

## Table of Contents

- [Table of Contents](#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:**
- **Repository:** [GitHub](https://github.com/ml-projects-kiel/OpenCampus-ApplicationofTransformers)

### Dataset Summary

Dataset containing Tweets from prominent Twitter Users.
The dataset has been created utilizing a crawler for the Twitter API.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

English, German

## Dataset Structure

### Data Instances

#### english

- **Size of downloaded dataset files:** 4.77 MB
- **Size of the generated dataset:** 5.92 MB
- **Total amount of disk used:** 4.77 MB

#### german

- **Size of downloaded dataset files:** 2.58 MB
- **Size of the generated dataset:** 3.10 MB
- **Total amount of disk used:** 2.59 MB

An example of 'validation' looks as follows.

```
{
  "text": "@SpaceX @Space_Station About twice as much useful mass to orbit as rest of Earth combined",
  "label": elonmusk,
  "idx": 1001283
}
```

### Data Fields

The data fields are the same among all splits and languages.

- `text`: a `string` feature.
- `label`: a classification label
- `idx`: an `int64` feature.

### Data Splits

| name    | train | validation |
| ------- | ----: | ---------: |
| english | 27857 |       6965 |
| german  | 10254 |       2564 |

## 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]

task_categories:text-generation annotations_creators:machine-generated language_creators:crowdsourced multilinguality:multilingual size_categories:10K<n<100K language:en language:de license:apache-2.0 region:us
{"annotations_creators": ["machine-generated"], "language_creators": ["crowdsourced"], "language": ["en", "de"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": [], "pretty_name": "tweetyface_en", "tags": []}
TAGS
#task_categories-text-generation #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-multilingual #size_categories-10K<n<100K #language-English #language-German #license-apache-2.0 #region-us 

Dataset Card for "tweetyface"
=============================


Table of Contents
-----------------


* 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
-------------------


* Homepage:
* Repository: GitHub


### Dataset Summary


Dataset containing Tweets from prominent Twitter Users.
The dataset has been created utilizing a crawler for the Twitter API.


### Supported Tasks and Leaderboards


### Languages


English, German


Dataset Structure
-----------------


### Data Instances


#### english


* Size of downloaded dataset files: 4.77 MB
* Size of the generated dataset: 5.92 MB
* Total amount of disk used: 4.77 MB


#### german


* Size of downloaded dataset files: 2.58 MB
* Size of the generated dataset: 3.10 MB
* Total amount of disk used: 2.59 MB


An example of 'validation' looks as follows.


### Data Fields


The data fields are the same among all splits and languages.


* 'text': a 'string' feature.
* 'label': a classification label
* 'idx': an 'int64' feature.


### Data Splits



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



### Dataset Summary


Dataset containing Tweets from prominent Twitter Users.
The dataset has been created utilizing a crawler for the Twitter API. ### Supported Tasks and Leaderboards ### Languages


English, German


Dataset Structure
----------------- ### Data Instances #### english


* Size of downloaded dataset files: 4.77 MB
* Size of the generated dataset: 5.92 MB
* Total amount of disk used: 4.77 MB #### german


* Size of downloaded dataset files: 2.58 MB
* Size of the generated dataset: 3.10 MB
* Total amount of disk used: 2.59 MB


An example of 'validation' looks as follows. ### Data Fields


The data fields are the same among all splits and languages.


* 'text': a 'string' feature.
* 'label': a classification label
* 'idx': an 'int64' feature. ### Data Splits



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
TAGS
#task_categories-text-generation #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-multilingual #size_categories-10K<n<100K #language-English #language-German #license-apache-2.0 #region-us 
 ### Dataset Summary


Dataset containing Tweets from prominent Twitter Users.
The dataset has been created utilizing a crawler for the Twitter API. ### Supported Tasks and Leaderboards ### Languages


English, German


Dataset Structure
----------------- ### Data Instances #### english


* Size of downloaded dataset files: 4.77 MB
* Size of the generated dataset: 5.92 MB
* Total amount of disk used: 4.77 MB #### german


* Size of downloaded dataset files: 2.58 MB
* Size of the generated dataset: 3.10 MB
* Total amount of disk used: 2.59 MB


An example of 'validation' looks as follows. ### Data Fields


The data fields are the same among all splits and languages.


* 'text': a 'string' feature.
* 'label': a classification label
* 'idx': an 'int64' feature. ### Data Splits



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