Update the dataset card

README.md

@@ -12,13 +12,12 @@ multilinguality:
 paperswithcode_id: bookcorpus
 pretty_name: books
 size_categories:
-- 100k<n<1M
+- n<1K
 source_datasets:
 - original
 tags:
 - books
 - categories
-- txt
 - nlp
 - adventure
 - biographies
@@ -39,54 +38,43 @@ task_ids:
 
 # Books
 
-The books dataset consists of a diverse collection of books organized into *9* categories,
-each category is represented as a directory, containing books saved as `.txt` files.
+The books dataset consists of a diverse collection of books organized into *9* categories, it splitted to `train`, `validation` where the train contains *40* books, and the validation *9* books.
 
-This dataset is designed to support various natural language processing (NLP) tasks, including `text generation` and `masked language modeling`.
+This dataset is cleaned well and designed to support various natural language processing (NLP) tasks, including `text generation` and `masked language modeling`.
 
 ## Details
 
-- **Language:** English (en)
-- **Language Creators:** Expert-generated
-- **License:** Apache 2.0
-- **Multilinguality:** Monolingual
-- **Papers With Code ID:** bookcorpus
-- **Pretty Name:** Books
-- **Size Categories:** 100k < n < 1M
-- **Source Datasets:** Original
-- **Tags:**
-  - books
-  - categories
-  - txt
-  - adventure
-  - biographies
-  - children
-  - classic
-  - fantasy
-  - historical
-  - mystery
-  - romance
-  - science-fiction
-- **Task Categories:**
-  - Text Generation
-  - Fill-Mask
-- **Task IDs:**
-- language-modeling
-- masked-language-modeling
-  
+The dataset contains 4 columns:
+
+- title: The tilte of the book.
+- author: The author of the book.
+- category: The genre/category of the book.
+- EN: The whole content of the book, in english. it's very very clean.
+
+Tasks:
+
+- Text Generation
+- Fill-Mask
+      
 ## Categories
 
 The dataset is organized into the following categories:
 
-1. **Adventure**
-2. **Biographies**
-3. **Children**
-4. **Classic**
-5. **Fantasy**
-6. **Historical**
-7. **Mystery**
-8. **Romance**
-9. **Science-Fiction**
+1. Adventure: 5 books.
+2. Biographies: 3 books.
+3. Children: 4 books.
+4. Classic: 7 books.
+5. Fantasy: 3 books.
+6. Historical: 6 books.
+7. Mystery: 7 books.
+8. Romance: 5 books.
+9. Science-Fiction: 9 books.
+
+## Splits
+The dataset is splitted into the following splits:
+
+1. train: 40 books.
+2. validation: 9 books, 1 book from each category.
 
 ## Usage
 
@@ -100,7 +88,7 @@ from datasets import load_dataset
 
 books = load_dataset("IsmaelMousa/books", split="train")
 
-print(books["text"][500:600])
+print(books["EN"][500:600])
 ```
 
 
@@ -116,4 +104,4 @@ The books in this dataset are sourced from [Project Gutenberg](https://www.guten
 
 ## License
 
-The rights to the books are reserved by their respective authors. This dataset is provided under the Apache 2.0 license for both personal and commercial use, with proper attribution.
+The rights to the books are reserved by their respective authors. This dataset is provided under the Apache 2.0 license for both personal and commercial use, with proper attribution.