README.md

---
dataset_info:
  features:
  - name: page_no
    dtype: int64
  - name: page_content
    dtype: string
  splits:
  - name: train
    num_bytes: 1030431
    num_examples: 474
  download_size: 509839
  dataset_size: 1030431
---
# Deep Learning Books Dataset


## Dataset Information

- **Features**:
  - `page_no`: Integer (int64) - Page number in the book.
  - `page_content`: String - Text content of the page.

- **Splits**:
  - `train`: Training split.
    - Number of examples: 474
    - Number of bytes: 1,030,431

- **Download Size**: 509,839 bytes
- **Dataset Size**: 1,030,431 bytes

## Dataset Application

This dataset "deep_learning_books_dataset" contains text data from various pages of books related to deep learning. 
It can be used for various natural language processing (NLP) tasks such as text classification,
language modeling, text generation, and more.

### Using Python and Hugging Face's Transformers Library

To use this dataset for NLP text generation and language modeling tasks, you can follow these steps:

1. Install the required libraries:

```python
pip install datasets
from datasets import load_dataset

dataset = load_dataset("Falah/deep_learning_books_dataset")


```

## Citation

Please use the following citation when referencing this dataset:

```
@dataset{deep_learning_books_dataset,
  author = {Falah.G.Salieh},
  title = {Deep Learning Books Dataset,},
  year = {2023},
  publisher = {HuggingFace Hub},
  version = {1.0},
  location = {Online},
  url = {https://huggingface.co/datasets/Falah/deep_learning_books_dataset}
}

```
 ### Apache License:
The "{Deep Learning Books Dataset" is distributed under the Apache License 2.0. 
The specific licensing and usage terms for this dataset can be found in the dataset repository or documentation. 
Please make sure to review and comply with the applicable license and usage terms before downloading and using the dataset.