Create README.md

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.