language:vi language:en license:mit size_categories:10K<n<100K format:csv modality:text library:datasets library:pandas library:mlcroissant library:polars region:us intent-detection conversational-ai chatbot
---
language:  
  - vi
  - en
datasets:  
  - retrieve_user_require
license: mit
tags:  
  - intent-detection  
  - conversational-ai  
  - chatbot  
---

# Dataset Card for Conversation-Based User Intent Extraction Dataset

## Dataset Details

### Dataset Description

This dataset is designed for extracting user intent from conversational contexts. It includes multi-turn dialogues where user requests, queries, and intents are labeled to enable training and evaluation of natural language processing (NLP) models for intent recognition.

The dataset is useful for building AI assistants, chatbots, and retrieval-augmented generation (RAG) systems that need to understand and classify user needs within a conversation.

### Dataset Sources [optional]

The dataset is collected from real-world conversations, synthetic data generation, or anonymized user interactions. It may include:

- Customer support dialogues
- Sales consultation interactions
- General chatbot conversations

## Dataset Structure

### Data Format

Each conversation instance includes:

- **messages**: History of conversation
- **summary**: The main require of user.

### Example Entry

```json
    {
        "messages": [
            {
                "sender": "user",
                "text": "Tôi muốn đặt một chuyến bay từ Hà Nội đến Đà Nẵng vào ngày 20 tháng 12."
            },
            {
                "sender": "assistant",
                "text": "Chắc chắn rồi, tôi có thể giúp bạn. Bạn muốn bay hãng nào và vào giờ nào?"
            },
            {
                "sender": "user",
                "text": "Tôi muốn bay hãng Vietnam Airlines và vào buổi sáng."
            }
        ],
        "summary": "Tôi muốn đặt một chuyến bay từ Hà Nội đến Đà Nẵng vào ngày 20 tháng 12, hãng Vietnam Airlines vào buổi sáng."
    }
```

## Intended Use

This dataset is intended for:

- Training and fine-tuning NLP models for intent detection
- Evaluating performance of conversational AI models
- Improving chatbot understanding and response accuracy

## License

Specify the licensing information for usage.

## Citation

If you use this dataset, please cite it as follows:

```
@dataset{your_dataset,
  author = {tinh2406},
  year = {2025},
  title = {Conversation-Based User Intent Extraction Dataset},
  url = {'https://huggingface.co/datasets/tinh2406/retrieve_user_require'}
}
```

