Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
English
Size:
1K - 10K
Commit
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README.md
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dataset_info:
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features:
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- name: text
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# Dataset Card for "natural-instruction-195"
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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language:
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- en
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task_categories:
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- text-classification
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task_ids:
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- sentiment-classification
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dataset_info:
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features:
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- name: text
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---
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# Dataset Card for "natural-instruction-195"
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## Dataset Description
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NaturalInstruction task 195.
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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.
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## Data Fields
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- `text`: Tweet text.
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- `label`: Sentiment of the text, either "negative" (0) or positive (1).
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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