# Dataset Card for Dataset Name

## Dataset Description

- **Homepage:** 
- **Repository:** 
- **Paper:** 
- **Leaderboard:** 
- **Point of Contact:** 

### Dataset Summary

This dataset is comprised of `emoji` and `emotion` subsets of [tweet_eval](https://huggingface.co/datasets/tweet_eval). The motivation
is that the original `emoji` subset essentially contains only positive/neutral emojis, while `emotion` subset contains a varied array
of emotions. So, the idea was to replace emotion labels with corresponding emojis (sad, angry) in the `emotion` subset and mix it together
with the `emoji` subset.

### Supported Tasks and Leaderboards

Similar to tweet eval the expected usage is text classification.

### Languages

Only English is present in the dataset.

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### 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

Refer to [tweet_eval](https://huggingface.co/datasets/tweet_eval). No additional data was added.

#### Annotation process

Same as tweet eval.

#### Who are the annotators?

Same as tweet eval.

### Personal and Sensitive Information

Same as tweet eval.

## 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

[More Information Needed]
task_categories:text-classification size_categories:10K<n<100K language:en region:us
{"language": ["en"], "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"]}
TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #region-us 

# Dataset Card for Dataset Name

## Dataset Description

- Homepage: 
- Repository: 
- Paper: 
- Leaderboard: 
- Point of Contact: 

### Dataset Summary

This dataset is comprised of 'emoji' and 'emotion' subsets of tweet_eval. The motivation
is that the original 'emoji' subset essentially contains only positive/neutral emojis, while 'emotion' subset contains a varied array
of emotions. So, the idea was to replace emotion labels with corresponding emojis (sad, angry) in the 'emotion' subset and mix it together
with the 'emoji' subset.

### Supported Tasks and Leaderboards

Similar to tweet eval the expected usage is text classification.

### Languages

Only English is present in the dataset.

## Dataset Structure

### Data Instances



### Data Fields



### Data Splits



## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

Refer to tweet_eval. No additional data was added.

#### Annotation process

Same as tweet eval.

#### Who are the annotators?

Same as tweet eval.

### Personal and Sensitive Information

Same as tweet eval.

## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information







### Contributions


# Dataset Card for Dataset Name ## Dataset Description

- Homepage: 
- Repository: 
- Paper: 
- Leaderboard: 
- Point of Contact: ### Dataset Summary

This dataset is comprised of 'emoji' and 'emotion' subsets of tweet_eval. The motivation
is that the original 'emoji' subset essentially contains only positive/neutral emojis, while 'emotion' subset contains a varied array
of emotions. So, the idea was to replace emotion labels with corresponding emojis (sad, angry) in the 'emotion' subset and mix it together
with the 'emoji' subset. ### Supported Tasks and Leaderboards

Similar to tweet eval the expected usage is text classification. ### Languages

Only English is present in the dataset. ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations

Refer to tweet_eval. No additional data was added. #### Annotation process

Same as tweet eval. #### Who are the annotators?

Same as tweet eval. ### Personal and Sensitive Information

Same as tweet eval. ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions
TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-English #region-us 
 # Dataset Card for Dataset Name ## Dataset Description

- Homepage: 
- Repository: 
- Paper: 
- Leaderboard: 
- Point of Contact: ### Dataset Summary

This dataset is comprised of 'emoji' and 'emotion' subsets of tweet_eval. The motivation
is that the original 'emoji' subset essentially contains only positive/neutral emojis, while 'emotion' subset contains a varied array
of emotions. So, the idea was to replace emotion labels with corresponding emojis (sad, angry) in the 'emotion' subset and mix it together
with the 'emoji' subset. ### Supported Tasks and Leaderboards

Similar to tweet eval the expected usage is text classification. ### Languages

Only English is present in the dataset. ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations

Refer to tweet_eval. No additional data was added. #### Annotation process

Same as tweet eval. #### Who are the annotators?

Same as tweet eval. ### Personal and Sensitive Information

Same as tweet eval. ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions