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Cultural Fabric of India: Regional Beliefs

Cultural & Historical Records

Tags and Keywords

Religion

Nlp

India

Languages

Culture

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Cultural Fabric of India: Regional Beliefs Dataset on Opendatabay data marketplace

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About

This dataset captures regional superstitions and beliefs from all 28 states and 8 union territories across India, offering a glimpse into the diverse cultural fabric that shapes daily life. It aims to preserve and explore India’s rich cultural heritage through data. The collection is notable for its uniqueness, as there is no existing large-scale dataset that details Indian superstitions region-wise with comparable depth and breadth. It holds significant cultural and linguistic value, making it highly suitable for Natural Language Processing (NLP) applications and serving an educational purpose by raising awareness about India’s intangible cultural heritage.

Columns

The dataset includes the following columns:
  • id: A unique identifier for each superstition entry.
  • superstition_name: A concise name or label for the superstition.
  • description: A detailed explanation of the belief or practice.
  • region: Specifies the State or Union Territory where the belief is commonly observed.
  • category: Indicates the type of superstition, such as omen, protection, health, taboo, wealth, pregnancy-related, weekly beliefs, or ghost/spirits.
  • origin_theory: Provides the folk or cultural explanation, or historical root of the belief.
  • modern_status: Identifies whether the belief is still followed in the specified region (Yes/No/Partially).
  • is_harmful: States whether the belief might have detrimental effects, e.g., social or medical.
  • source: Describes the type of source from which the data was collected, such as oral tradition, community elders, or user contributed.
  • user_contributed: A flag indicating if the entry was directly contributed by users or sourced from communities.

Distribution

The dataset is provided in CSV format and consists of two main files: train.csv and test.csv. The train.csv file contains over 500 superstition entries, with approximately 20 entries per state or Union Territory. The test.csv file includes over 100 entries, typically 1 to 2 per state or Union Territory, intended for model validation or exploration. Both files share a similar structure, making them suitable for supervised learning tasks.

Usage

This dataset is ideally suited for various applications, including:
  • Exploring regional cultural differences in beliefs across India.
  • Training machine learning models for classifying or generating folklore-related text.
  • Developing AI assistants that can understand and respond to regional cultural nuances.
  • Enhancing chatbots with culturally relevant responses and information.
  • Academic research in social sciences, humanities, cultural studies, anthropology, folklore, and linguistics.
  • NLP applications such as text classification, sentiment analysis, and entity recognition.
  • Building cultural AI systems.

Coverage

The dataset's geographic scope covers all 28 states and 8 union territories of India, ensuring a wide representation of regional beliefs. The time range encompasses traditions passed down through generations, with a focus on their modern status. While specific demographic details are not outlined, the dataset captures beliefs shaping daily life across the country, aiming for a fair representation of all regions.

License

CC-BY

Who Can Use It

The dataset is intended for:
  • Researchers in cultural studies, anthropology, folklore, and linguistics.
  • Data scientists and machine learning engineers working on NLP applications.
  • Academics engaged in social sciences and humanities research.
  • Developers creating AI assistants or chatbots.
  • Anyone interested in India's intangible cultural heritage.

Dataset Name Suggestions

  • Regional Indian Superstitions and Beliefs
  • Cultural Fabric of India: Regional Beliefs
  • India's Folk Beliefs Dataset
  • Indian Cultural Heritage Data
  • Superstitions Across Indian States

Attributes

Listing Stats

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4

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LISTED

05/06/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free