# Dataset Card for "natural-instruction-195"

## Dataset Description
NaturalInstruction task 195.

In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.

## Data Fields

- `text`: Tweet text.
- `label`: Sentiment of the text, either "negative" (0) or positive (1).

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
task_categories:text-classification task_ids:sentiment-classification language:en region:us
{"language": ["en"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 549795, "num_examples": 6500}], "download_size": 388442, "dataset_size": 549795}}
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #language-English #region-us 

# Dataset Card for "natural-instruction-195"

## Dataset Description
NaturalInstruction task 195.

In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.

## Data Fields

- 'text': Tweet text.
- 'label': Sentiment of the text, either "negative" (0) or positive (1).

More Information needed
# Dataset Card for "natural-instruction-195" ## Dataset Description
NaturalInstruction task 195.

In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content. ## Data Fields

- 'text': Tweet text.
- 'label': Sentiment of the text, either "negative" (0) or positive (1).

More Information needed
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #language-English #region-us 
 # Dataset Card for "natural-instruction-195" ## Dataset Description
NaturalInstruction task 195.

In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content. ## Data Fields

- 'text': Tweet text.
- 'label': Sentiment of the text, either "negative" (0) or positive (1).

More Information needed