NLP Dataset for Sentiment Analysis

Description
The NLP Dataset for Sentiment Analysis is a collection of text samples annotated for sentiment classification. This dataset aims to facilitate research and development in the field of Natural Language Processing (NLP) with a focus on sentiment analysis tasks. It includes diverse textual data that represents various sentiments, enabling the training and evaluation of sentiment analysis models.

Dataset Structure
- Text Samples : Each entry in the dataset contains a text sample, which could be a sentence, review, or comment.
- Labels : The text samples are annotated with corresponding sentiment labels, typically categorized as positive, negative, or neutral.

Usage
This dataset can be used for:
- Training sentiment analysis models
- Benchmarking NLP algorithms
- Educational purposes in understanding sentiment classification

How to Cite
If you use this dataset in your research, please cite it as follows:
Aaryan kansari “NLP Dataset for Sentiment Analysis,” 2024. Available at: Dataset available on Hugging Face.

License
This dataset is licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/), allowing for sharing and adaptation with proper attribution.

Acknowledgments
Acknowledge any contributors or resources you used to create this dataset.

README.md

@@ -1,3 +1,9 @@
----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+task_categories:
+- token-classification
+- text2text-generation
+pretty_name: Sentiment Analysis Dataset.
+size_categories:
+- n<1K
+---