Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
English
Size:
1K - 10K
File size: 813 Bytes
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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) |