dariusk/corpora
Corpora
Corpora is a library of curated, domain-specific text corpora and structured datasets. It provides collections of categorized nouns, adjectives, and verbs in JSON format, intended for use as static training or testing data for conversational agents and automated systems.
The project organizes linguistic data across diverse fields, including science, art, and geography. These datasets are distributed as standalone files using a language-neutral schema and a static JSON data model, allowing for direct import into applications without an API layer.
The library supports chatbot content generation and rapid prototype development by providing structured data integration. It utilizes part-of-speech categorization and domain-specific data partitioning to facilitate the creation of dialogue and the testing of machine learning models.
Features
- Training Corpora - Provides focused text corpora used as static training or testing data for conversational agents.
- AI Chatbots - Enables the creation of diverse dialogue and responses for bots using curated linguistic lists.
- Domain-Specific Pre-training Corpora - Offers curated datasets covering diverse fields such as science, art, and geography for language-based applications.
- Static Training Sets - Provides focused collections of specialized terms in science and art to test or train small machine learning models.
- Grammatical Category Filters - Groups words by grammatical categories such as nouns, verbs, and adjectives for structured text generation.
- Curated Datasets - Provides access to small, focused collections of categorized words in JSON format for prototyping.
- JSON Dataset Collections - Provides a set of small, structured JSON files containing categorized nouns, adjectives, and verbs.
- Static JSON Stores - Stores structured linguistic categories in read-only JSON files for immediate retrieval without a database.
- Flat-File Storage - Distributes datasets as standalone text files to allow direct import without an API layer.
- Rapid Prototyping Environments - Facilitates building early application versions quickly using structured JSON datasets instead of full databases.
- Knowledge Domain Partitioning - Organizes linguistic datasets into topical categories to ensure broad knowledge coverage for conversational agents.
- Language-Neutral Schemas - Uses a consistent data format across collections to ensure compatibility with various bot development frameworks.
