
# Dataset Card for "sentiment140"

## 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:** [http://help.sentiment140.com/home](http://help.sentiment140.com/home)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 81.36 MB
- **Size of the generated dataset:** 225.82 MB
- **Total amount of disk used:** 307.18 MB

### Dataset Summary

Sentiment140 consists of Twitter messages with emoticons, which are used as noisy labels for
sentiment classification. For more detailed information please refer to the paper.

### Supported Tasks and Leaderboards

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Languages

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Dataset Structure

### Data Instances

#### sentiment140

- **Size of downloaded dataset files:** 81.36 MB
- **Size of the generated dataset:** 225.82 MB
- **Total amount of disk used:** 307.18 MB

An example of 'train' looks as follows.
```
{
    "date": "23-04-2010",
    "query": "NO_QUERY",
    "sentiment": 3,
    "text": "train message",
    "user": "train user"
}
```

### Data Fields

The data fields are the same among all splits.

#### sentiment140
- `text`: a `string` feature.
- `date`: a `string` feature.
- `user`: a `string` feature.
- `sentiment`: a `int32` feature.
- `query`: a `string` feature.

### Data Splits

|    name    | train |test|
|------------|------:|---:|
|sentiment140|1600000| 498|

## Dataset Creation

### Curation Rationale

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Citation Information

```
@article{go2009twitter,
  title={Twitter sentiment classification using distant supervision},
  author={Go, Alec and Bhayani, Richa and Huang, Lei},
  journal={CS224N project report, Stanford},
  volume={1},
  number={12},
  pages={2009},
  year={2009}
}

```


### Contributions

Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf) for adding this dataset.
language:en region:us
{"language": ["en"], "paperswithcode_id": "sentiment140", "pretty_name": "Sentiment140", "dataset_info": {"config_name": "sentiment140", "features": [{"name": "text", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "user", "dtype": "string"}, {"name": "sentiment", "dtype": "int32"}, {"name": "query", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 224542690, "num_examples": 1600000}, {"name": "test", "num_bytes": 72971, "num_examples": 498}], "download_size": 81363704, "dataset_size": 224615661}, "train-eval-index": [{"config": "sentiment140", "task": "text-classification", "task_id": "multi_class_classification", "splits": {"train_split": "train", "eval_split": "test"}, "col_mapping": {"text": "text", "sentiment": "target"}, "metrics": [{"type": "accuracy", "name": "Accuracy"}, {"type": "f1", "name": "F1 macro", "args": {"average": "macro"}}, {"type": "f1", "name": "F1 micro", "args": {"average": "micro"}}, {"type": "f1", "name": "F1 weighted", "args": {"average": "weighted"}}, {"type": "precision", "name": "Precision macro", "args": {"average": "macro"}}, {"type": "precision", "name": "Precision micro", "args": {"average": "micro"}}, {"type": "precision", "name": "Precision weighted", "args": {"average": "weighted"}}, {"type": "recall", "name": "Recall macro", "args": {"average": "macro"}}, {"type": "recall", "name": "Recall micro", "args": {"average": "micro"}}, {"type": "recall", "name": "Recall weighted", "args": {"average": "weighted"}}]}]}
TAGS
#language-English #region-us 

Dataset Card for "sentiment140"
===============================


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: URL
* Repository:
* Paper:
* Point of Contact:
* Size of downloaded dataset files: 81.36 MB
* Size of the generated dataset: 225.82 MB
* Total amount of disk used: 307.18 MB


### Dataset Summary


Sentiment140 consists of Twitter messages with emoticons, which are used as noisy labels for
sentiment classification. For more detailed information please refer to the paper.


### Supported Tasks and Leaderboards


### Languages


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


### Data Instances


#### sentiment140


* Size of downloaded dataset files: 81.36 MB
* Size of the generated dataset: 225.82 MB
* Total amount of disk used: 307.18 MB


An example of 'train' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### sentiment140


* 'text': a 'string' feature.
* 'date': a 'string' feature.
* 'user': a 'string' feature.
* 'sentiment': a 'int32' feature.
* 'query': a 'string' 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


### Contributions


Thanks to @patrickvonplaten, @thomwolf for adding this dataset.



### Dataset Summary


Sentiment140 consists of Twitter messages with emoticons, which are used as noisy labels for
sentiment classification. For more detailed information please refer to the paper. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### sentiment140


* Size of downloaded dataset files: 81.36 MB
* Size of the generated dataset: 225.82 MB
* Total amount of disk used: 307.18 MB


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


The data fields are the same among all splits. #### sentiment140


* 'text': a 'string' feature.
* 'date': a 'string' feature.
* 'user': a 'string' feature.
* 'sentiment': a 'int32' feature.
* 'query': a 'string' 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 ### Contributions


Thanks to @patrickvonplaten, @thomwolf for adding this dataset.
TAGS
#language-English #region-us 
 ### Dataset Summary


Sentiment140 consists of Twitter messages with emoticons, which are used as noisy labels for
sentiment classification. For more detailed information please refer to the paper. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### sentiment140


* Size of downloaded dataset files: 81.36 MB
* Size of the generated dataset: 225.82 MB
* Total amount of disk used: 307.18 MB


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


The data fields are the same among all splits. #### sentiment140


* 'text': a 'string' feature.
* 'date': a 'string' feature.
* 'user': a 'string' feature.
* 'sentiment': a 'int32' feature.
* 'query': a 'string' 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 ### Contributions


Thanks to @patrickvonplaten, @thomwolf for adding this dataset.
passage: TAGS
#language-English #region-us 
### Dataset Summary


Sentiment140 consists of Twitter messages with emoticons, which are used as noisy labels for
sentiment classification. For more detailed information please refer to the paper.### Supported Tasks and Leaderboards### Languages


Dataset Structure
-----------------### Data Instances#### sentiment140


* Size of downloaded dataset files: 81.36 MB
* Size of the generated dataset: 225.82 MB
* Total amount of disk used: 307.18 MB


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


The data fields are the same among all splits.#### sentiment140


* 'text': a 'string' feature.
* 'date': a 'string' feature.
* 'user': a 'string' feature.
* 'sentiment': a 'int32' feature.
* 'query': a 'string' 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### Contributions


Thanks to @patrickvonplaten, @thomwolf for adding this dataset.