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1Bali
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Dataset Card for Batik-Indonesia
Dataset Details
Dataset Description
The Batik-Indonesia dataset is a curated collection of batik designs from various regions across Indonesia. Batik is an ancient textile art form that utilizes a wax-resist dyeing technique, resulting in intricate patterns and motifs that reflect cultural identities and traditions. This dataset provides 2599 distinct files per style, making it an invaluable resource for artists, designers, and researchers interested in the cultural significance and artistic techniques of Indonesian batik.
- Curated by: muhammadsalmanalfaridzi
- Language(s) (NLP): Indonesian (id)
Dataset Sources
- Repository: Kaggle
Dataset Files
- Aceh
- Bali
- Bali_Barong
- Bali_Merak
- Betawi
- Celup
- Ceplok
- Ciamis
- Corak_Insang
- Garutan
- Gentongan
- Ikat_Celup
- Jakarta_Ondel_Ondel
- Jawa_Barat_Megamendung
- Jawa_Timur_Pring
- Kalimantan_Dayak
- Keraton
- Lampung_Gajah
- Lasem
- Madura_Mataketeran
- Maluku_Pala
- NTB_Lumbung
- Papua_Asmat
- Papua_Cendrawasih
- Papua_Tifa
- Pekalongan
- Priangan
- Sekar
- Sidoluhur
- Sidomukti
- Sogan
- Solo_Parang
- Sulawesi_Selatan_Lontara
- Sumatera_Barat_Rumah_Minang
- Sumatera_Utara_Boraspati
- Tambal
- Yogyakarta_Kawung
- Yogyakarta_Parang
Uses
Direct Use
This dataset is intended for a variety of applications, including but not limited to:
- Academic research on cultural heritage and textile arts.
- Design projects in fashion, home decor, and digital art.
- Educational purposes in teaching about Indonesian culture and textile techniques.
Out-of-Scope Use
The dataset should not be used for:
- Commercial exploitation without proper licensing.
- Any form of cultural appropriation or misrepresentation of the Indonesian heritage.
- Uses that may promote stereotypes or negative cultural narratives.
Dataset Structure
The dataset comprises multiple directories, each corresponding to a specific batik style from different regions. Each directory contains image files representing that particular batik pattern. Metadata about each pattern, such as its cultural significance and historical background, can be included to enhance understanding.
Dataset Creation
Curation Rationale
The dataset was created to preserve and promote the rich heritage of Indonesian batik, which is at risk of being overshadowed in a globalized world. By providing access to these patterns, the dataset aims to encourage appreciation and utilization of this art form in contemporary contexts.
Source Data
The data was collected from various cultural institutions, museums, and local artisans across Indonesia, ensuring a broad representation of styles and techniques.
Data Collection and Processing
Data collection involved:
- Collaboration with local artisans to obtain authentic patterns.
- Digitization of physical batik samples to create high-quality image files.
- Normalization of file formats to ensure consistency across the dataset.
Who are the source data producers?
The source data was produced by local artisans and cultural institutions dedicated to preserving Indonesian heritage.
Personal and Sensitive Information
The dataset does not contain personal information. It focuses solely on public cultural artifacts.
Bias, Risks, and Limitations
There is a risk of cultural bias, as the dataset may not fully represent all batik styles across Indonesia, particularly those from lesser-known regions. It is crucial for users to approach the dataset with an understanding of the cultural contexts.
Recommendations
Users should be aware of the cultural significance of batik and strive to use the dataset respectfully and thoughtfully, recognizing the origins and meanings behind each pattern.
Glossary
- Batik: A traditional Indonesian cloth-dyeing technique using wax to create intricate patterns.
- Cultural Heritage: The legacy of physical artifacts and intangible attributes of a group or society.
More Information
For further inquiries or collaboration opportunities, please contact salman99.msaff@gmail.com
Dataset Card Contact
For any questions regarding this dataset, please contact salman99.msaff@gmail.com
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