---
dataset_info:
  features:
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: type
    dtype: string
  splits:
  - name: train
    num_bytes: 3018020
    num_examples: 8349
  - name: test
    num_bytes: 460981
    num_examples: 1500
  download_size: 1461517
  dataset_size: 3479001
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
license: apache-2.0
language:
- vi
tags:
- customer support
pretty_name: CSConDa
size_categories:
- 1K<n<10K
---

# CSConDa: Customer Support Conversations Dataset for Vietnamese

CSConDa is the first Vietnamese QA dataset in the customer support domain. The dataset was curated and approved in collaboration with [DooPage](https://doopage.com/), a Vietnamese software company serving 30,000 customers and 45,000 advisors through its multi-channel support platform. 

Covering a diverse range of topics, from product pricing inquiries to technical consultations, CSConDa serves as a representative dataset for this domain. The data is meticulously annotated following expert-guided annotation guidelines and is categorized into three types. The table below presents the categorization criteria.

| No. | Question type | Definition | Requirements | Characteristics | Identification | Example from CSConDa |
|----|--------------|------------|-------------|----------------|---------------|---------------------|
| 1  | General | Common conversational phrases unrelated to a specific topic. | Typically greetings, farewells, or brief acknowledgments. | - Short with minimal semantic content. | Uses generic words, not tied to a specific issue or subject. | âu kê thank kiu e. (**English:** Okay, thank you.) |
| 2  | Simple | Direct, fact-based questions requiring concise responses. | Responses are short, providing direct or basic information. | - Concise and easy to understand. <br> - Uses fewer linguistic variations than complex questions. <br> - Less dependent on context. | Often includes service-related terms such as "Doopage", "chatbot", "Zalo", or other technical references. | Báo giá giúp M nhé. Gọi M lúc 11h số này nef <số điện thoại>. C cần qly 8 page, 2 Zalo, 1 website, 1 YTB, 3-5 người dùng. (**English:** Please send me the pricing details. Call me at 11 AM at this number <phone number>. I need 8 pages, 2 Zalo accounts, 1 website, and 1 YouTube channel for 3–5 users.) |
| 3  | Complex | Requires detailed explanations, often involving troubleshooting. | Responses must be elaborate, potentially including multiple steps or additional clarifications. | - Typically longer with more contextual details. <br> - Often includes problem descriptions or error messages. | Frequently contains technical terms and detailed issue descriptions, often explaining why a problem occurs rather than just what it is. | à thế đây là teen maps. chứ đâu phải tên business đâu em. tên 1 địa chỉ map đó. Nhưng lsao mà gõ tên map vào đó được. trong khi bên trong cho phép add nhiều locations? Lỗi file này e ơi, ko down đc. Bên Zalo OA down bt. (**English:** Oh, so this is the name on Google Maps, not the business name. This is just a map location. But how can I enter a map name when multiple locations are allowed? This file is corrupted and cannot be downloaded. On Zalo OA, the download works fine.) |

> CSConDa can be used for fine-tuning Vietnamese LLMs, classification tasks, and benchmarking Vietnamese LLMs in the customer support domain.

**This dataset is part of the work *A Benchmark Dataset and Evaluation Framework for Vietnamese Large Language Models in Customer Support*, submitted to the [17th International Conference on Computational Collective Intelligence (ICCCI 2025)](https://iccci.pwr.edu.pl/2025/).**