README.md

---
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
---
# 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)