Question 1

What is Dingo?

Accepted Answer

Dingo is a comprehensive data quality evaluation tool designed to automatically detect data quality issues in various datasets. It provides built-in rules, model evaluation methods, and supports custom evaluations, making it ideal for pre-training, fine-tuning, and evaluating datasets.

Question 2

How do I install Dingo?

Accepted Answer

You can install Dingo using pip with the following command:nnbashnpip install dingo-pythonn

Question 3

What types of data does Dingo support?

Accepted Answer

Dingo supports commonly used text datasets and multimodal datasets, including pre-training, fine-tuning, and evaluation datasets.

Question 4

Can Dingo integrate with LLMs?

Accepted Answer

Yes, Dingo supports integration with Large Language Models (LLMs) such as OpenAI, Kimi, and local models like Llama3 for advanced data quality assessments.

Question 5

What are the key quality metrics that Dingo evaluates?

Accepted Answer

Dingo evaluates data quality across seven dimensions:nn*   Completenessn*   Effectivenessn*   Fluencyn*   Relevancen*   Securityn*   Similarityn*   Understandability

Question 6

How do I run Dingo using the command line?

Accepted Answer

You can run Dingo using the command line interface (CLI) with various options. For example, to evaluate a dataset with rule sets, use:nnbashnpython -m dingo.run.cli --input_path data.txt --dataset local -e sft --data_format plaintext --save_data Truen

Question 7

Does Dingo offer a GUI for visualization?

Accepted Answer

Yes, Dingo generates a frontend page for visualization after evaluation (when `save_data=True`). You can manually start the frontend using:nnbashnpython -m dingo.run.vsl --input output_directorynnnWhere `output_directory` contains the evaluation results with a `summary.json` file.

Question 8

Can I create custom rules with Dingo?

Accepted Answer

Yes, Dingo supports custom rules, prompts, and models. You can extend Dingo with your own rules and models to address specific data quality challenges.

Question 9

What is the MCP Server in Dingo?

Accepted Answer

Dingo includes an experimental Model Context Protocol (MCP) server. MCP is an open protocol that standardizes how applications provide context to LLMs, allowing AI models to access and interact with external data sources and tools.

Question 10

How does Dingo help with data governance?

Accepted Answer

Dingo assists organizations in establishing and maintaining data governance policies by providing a tool for monitoring and enforcing data quality standards.

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