Introduction
The Czech General Domain Chat Dataset is a high-quality, text-based dataset designed to train and evaluate conversational AI, NLP models, and smart assistants in real-world Czech usage. Collected through FutureBeeAI’s trusted crowd community, this dataset reflects natural, native-level Czech conversations covering a broad spectrum of everyday topics.
Conversational Text Data
This dataset includes over 15000 chat transcripts, each featuring free-flowing dialogue between two native Czech speakers. The conversations are spontaneous, context-rich, and mimic informal, real-life texting behavior.
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Words per Chat:
300–700
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Turns per Chat:
Up to 50 dialogue turns
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Contributors:
200 native Czech speakers from the FutureBeeAI Crowd Community
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Format:
TXT, DOCS, JSON or CSV (customizable)
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Structure:
Each record contains the full chat, topic tag, and metadata block
Diversity and Domain Coverage
Conversations span a wide variety of general-domain topics to ensure comprehensive model exposure:
•Music, books, and movies
•Family life and relationships
•Festivals and traditions
•Environment and daily life
•Childhood memories and casual chatting
This diversity ensures the dataset is useful across multiple NLP and language understanding applications.
Linguistic Authenticity
Chats reflect informal, native-level Czech usage with:
•Colloquial expressions and local dialect influence
•Domain-relevant terminology
•Language-specific grammar, phrasing, and sentence flow
•Inclusion of realistic details such as names, phone numbers, email addresses, locations, dates, times, local currencies, and culturally grounded references
•Representation of different writing styles and input quirks to ensure training data realism
Metadata
Every chat instance is accompanied by structured metadata, which includes:
This metadata supports model filtering, demographic-specific evaluation, and more controlled fine-tuning workflows.
Data Quality Assurance
All chat records pass through a rigorous QA process to maintain consistency and accuracy:
•Manual review for content completeness
•Format checks for chat turns and metadata
•Linguistic verification by native speakers
•Removal of inappropriate or unusable samples
This ensures a clean, reliable dataset ready for high-performance AI model training.
Applications
This dataset is ideal for training and evaluating a wide range of text-based AI systems:
•Conversational AI / Chatbots
•Smart assistants and voicebots
•Natural Language Understanding (NLU)
•Text classification and clustering
•Named entity recognition (NER)
•Text prediction and auto-completion
•Intent detection and response generation
•Sentiment analysis (with additional annotation)
Ethical and Responsible Collection
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Consent-Driven:
All contributors provided informed, written consent.
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Privacy-Preserved:
Personally identifiable data is either anonymized or simulated.
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Ethical Compliance:
Collected in accordance with ethical AI practices and data protection guidelines.
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FutureBeeAI Platform:
All data was securely captured, reviewed, and stored through FutureBeeAI’s internal data pipeline, ensuring end-to-end control and security.
Bias Mitigation Strategy
To promote fairness and reduce bias in AI training:
•Contributors were selected from multiple Czech-speaking countries
•Balanced gender representation
•Topic distribution covers varied cultural and social contexts
This allows your models to perform consistently across user groups and reduce regional skew.
Annotation & Customization Options
While this version does not include labeled annotations, FutureBeeAI supports customized enhancements such as:
•Named Entity Annotations (names, emails, locations, numbers, etc.)
•Sentiment or Intent Labels
•Topic Expansion (finance, customer support, etc.)
•Additional metadata such as chat tone, message type, or chat purpose
•Custom collection is available in Czech or other languages on request.
Scalability & Continuous Expansion
This dataset is continuously expanded with new chat data to enrich domain coverage and linguistic diversity. Custom chat data collection services are available for enterprise-grade requirements.
Licensing
This dataset is developed and owned by FutureBeeAI and is available under a commercial license. Custom licensing terms can be provided for academic, research, or enterprise clients.
