Streaming Query and Transformation Debugging Dialogue Dataset

#Multi-Turn Dialogue #SQL Debugging #Query Repair #Context Clarification #Real-Time Data Pipeline Development #Stream Processing Operations #Data Engineering Assistants #SQL Troubleshooting

4566
0.5GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-05

AI Analysis & Value Prop

This dataset contains multi-turn conversations in which users progressively provide streaming SQL, transformation logic, error messages, and expected results, along with query fragments and assistant responses. It focuses on diagnosing syntax and logic issues in real-time data pipeline development, capturing an iterative workflow from clarifying context to proposing revisions. It is suited to dialogue supervised fine-tuning, streaming development assistant training, and evaluation of SQL debugging and query repair capabilities.

Dataset Insights

Sample Examples

{}

Technical Specifications

Field	Type	Description
file_name	string	File name
messages	array	The transcript parsed into an ordered sequence of user and assistant messages.
sql_fragments	array	SQL snippets extracted from the dialogue for debugging, review, or revision.
resolution_status	string	The outcome reflected in the dialogue, such as a proposed fix or an unresolved issue.
diagnostic_summary	string	A concise summary of the suspected syntax or logic issue and its relevant context.
dialogue_transcript	string	The complete conversation, including user-provided SQL, transformation logic, errors, expected results, and assistant responses.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?: It contains multi-turn conversations about stream processing development, including user-provided SQL fragments, transformation logic, error messages, and expected results, as well as assistant diagnoses, clarification questions, and revision suggestions.

Which capabilities can it support for training or evaluation?: It can support dialogue supervised fine-tuning to help models interpret progressively supplied context, identify SQL syntax or logic issues, and suggest fixes. It can also be used to evaluate streaming query debugging and multi-turn problem-solving.

Which structured fields are included?: Fields include the complete dialogue transcript, ordered messages, SQL fragments extracted from the conversation, a diagnostic summary, and the resolution status. Check the product details and delivery documentation for sample availability and exact formats.

How can I obtain the dataset and verify its license?: Obtain the dataset through the product page or the provider's designated channel, and review the current license terms, permitted uses, and redistribution restrictions before use. Confirm that you have the necessary rights before commercial training or external distribution.

Can't find the data you need?

Post a request and let data providers reach out to you.

Get this Dataset

Verified for Enterprise Use

Cite this Work

@dataset{Mobiusi2026,
  title={Streaming Query and Transformation Debugging Dialogue Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/5039260ed7e364bd0bfbd8da4bf5d3ad},
  urldate={2026-10-22},
  keywords={stream processing dialogue dataset,streaming SQL debugging,real-time data pipeline training data,SQL query repair,data transformation troubleshooting,multi-turn dialogue SFT,data engineering assistant training,streaming query debugging},
  version={1.0}
}

Using this in research? Please cite us.

placeholder

Scene

Domain

Modality

Task