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README.md

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----
-annotations_creators:
-- expert-generated
-language_creators:
-- expert-generated
-language:
-- en
-license:
-- other
-multilinguality:
-- monolingual
-size_categories:
-- 100K<n<1M
-source_datasets:
-- original
-task_categories:
-- text-classification
-task_ids:
-- multi-class-classification
-- multi-label-classification
-pretty_name: 'EnglishNLPDataset'
----
-
-
-# Dataset Card for "EnglishNLPDataset"
-
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Dataset Preprocessing](#dataset-preprocessing)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-  
-## Dataset Description
-- **Homepage:** [https://github.com/BihterDass/EnglishTextClassificationDataset]
-- **Repository:** [https://github.com/BihterDass/EnglishTextClassificationDataset]
-- **Size of downloaded dataset files:** 8.71 MB
-- **Size of the generated dataset:** 8.71 MB
-
-### Dataset Summary
-The dataset was compiled from user comments from e-commerce sites. It consists of 10,000 validations, 10,000 tests and 80000 train data. Data were classified into 3 classes (positive(pos), negative(neg) and natural(nor). The data is available to you on github.
-
-### Supported Tasks and Leaderboards
-[More Information Needed]
-
-### Languages
-[More Information Needed]
-
-## Dataset Structure
-
-### Data Instances
-[More Information Needed]
-
-#### english-dataset-v1
-- **Size of downloaded dataset files:** 8.71 MB
-- **Size of the generated dataset:** 8.71 MB
-
-### Data Fields
-The data fields are the same among all splits.
-
-#### english-dataset-v-v1
-- `text`: a `string` feature.
-- `label`: a classification label, with possible values including `positive` (2),  `natural` (1), `negative` (0).
-
-### Data Splits
-|    |train    |validation|test      |
-|----|--------:|---------:|---------:|
-|Data|  80000  |   10000 |     10000 |
-
-## Dataset Creation
-
-### Curation Rationale
-[More Information Needed]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-[More Information Needed]
-
-#### Who are the source language producers?
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-[More Information Needed]
-
-#### Who are the annotators?
-[More Information Needed]
-
-### Personal and Sensitive Information
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-[More Information Needed]
-
-### Discussion of Biases
-[More Information Needed]
-
-### Other Known Limitations
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-[More Information Needed]
-
-### Licensing Information
-[More Information Needed]
-
-### Citation Information
-[More Information Needed]
-
-### Contributions
-Thanks to [@PnrSvc](https://github.com/PnrSvc) for adding this dataset.