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Datasets:
Falah
/
chairs_furniture

Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
stable diffusion
art
midjourney
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
chairs_furniture
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---
dataset_info:
  features:
  - name: prompts
    dtype: string
  splits:
  - name: train
    num_bytes: 41184875
    num_examples: 99850
  download_size: 1233469
  dataset_size: 41184875
license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- 'stable diffusion '
- art
- midjourney
pretty_name: chairs furniture
size_categories:
- 10M<n<100M
---
# Dataset Card for Chairs Furniture

## Dataset Information

This dataset, named "chairs_furniture," is curated by Falah G. Salieh and contains data related to prompts and their corresponding information. The dataset includes the following features:

- **prompts**: A string-type feature that contains the prompts or information related to chairs and furniture.

The dataset is divided into one split:

- **Train Split**: 
  - Number of examples: 99,850
  - Size on disk: 41,184,875 bytes

## Download Information

- **Download Size**: 1,233,469 bytes
- **Dataset Size**: 41,184,875 bytes

## Dataset Details

The "chairs_furniture" dataset by Falah G. Salieh provides information about chairs and furniture, particularly through prompts. Researchers, developers, and enthusiasts can use this data for various natural language processing (NLP) tasks, such as language modeling, text generation, or question-answering.

## Potential Applications:

Style Art for Furniture Designers: Designers in the furniture industry can use this dataset to gather inspiration and explore various styles of chairs and other furniture items. The dataset's prompts can serve as creative starting points for developing innovative furniture designs that align with different artistic styles.

Artiste Designer Resource: Artists with a focus on furniture design can benefit from this dataset as a resource for understanding various design elements, historical styles, and contemporary trends related to chairs and furniture. It can help artists enhance their creativity and artistic expression in their furniture-related artwork.

Artistic Language Model Training: The dataset's prompts can be used to train language models tailored for the furniture and chair design domain. Such models can generate descriptive and imaginative texts to accompany design portfolios, marketing materials, or even generate detailed narratives about fictional furniture pieces.

Design Trend Analysis: Industries involved in furniture production and marketing can analyze the dataset to identify design trends, customer preferences, and emerging styles in the furniture market. This information can influence product development and marketing strategies.

## Usage examples prompts 

![image1](https://iraqprogrammer.files.wordpress.com/2023/07/1.png)
# --------------------------
![image2](https://iraqprogrammer.files.wordpress.com/2023/07/2.png)

# --------------------------
![image2](https://iraqprogrammer.files.wordpress.com/2023/07/3.png)

## Citations

If you use this dataset in your work or publications, please cite it as:

```
@dataset{chairs_furniture,
  author = {Falah G. Salieh},
  title = {chairs furniture},
  year = {2023},
  publisher = {HuggingFace Hub},
  url = {https://huggingface.co/datasets/Falah/chairs_furniture/},
}
```