Cloud Observability Instrumentation Code Understanding Dataset
- Records
- 7050
- Size
- 0.5GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
This dataset contains instrumentation source code used to generate metrics, logs, and distributed traces in cloud-native services, covering components such as HTTP, RPC, databases, and messaging systems. Each record provides structured explanations of instrumentation locations, telemetry signal generation, context propagation, and code relationships, along with an analysis confidence score. It supports training and evaluating coding agents on observability code, telemetry construction, and context flow across components.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| source_code | string | Original source code snippet used to generate metrics, logs, or distributed traces. |
| component_type | string | Type of cloud-native component associated with the instrumentation code, such as HTTP, RPC, database, or messaging. |
| code_explanation | string | A complete explanation for coding agents covering instrumentation timing, telemetry construction, and context flow. |
| telemetry_signals | array | Inferred logic for generating metrics, logs, and distributed tracing signals from the instrumentation code. |
| code_relationships | array | Relationships between the instrumentation code and business handlers, client calls, server handlers, or telemetry APIs. |
| analysis_confidence | number | Overall confidence in the analysis of the programming language, instrumentation locations, telemetry signals, and context relationships. |
| context_propagation | object | Relationships involved in extracting, injecting, and propagating trace, request, or message context in the instrumentation code. |
| programming_language | string | Programming language identified from the source code syntax and file characteristics. |
| instrumentation_intent | string | Summary of why the instrumentation appears at a particular location and what it is intended to observe. |
| instrumentation_locations | array | Functions, methods, code lines, or key control-flow locations where instrumentation is performed. |
Trust
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
FAQ
Frequently Asked Questions
- What code does the dataset contain?
- It contains instrumentation source code snippets that generate metrics, logs, or distributed traces, covering cloud-native components such as HTTP, RPC, databases, and messaging systems.
- What annotations are included?
- Structured information includes programming language, component type, instrumentation locations, telemetry signal generation, context propagation, instrumentation intent, code relationships, code explanations, and analysis confidence.
- Which training or evaluation tasks does it support?
- It can support training or evaluation of coding agents on instrumentation code understanding, telemetry generation analysis, trace context propagation, and observability platform code question answering.
- How can I obtain the dataset, and what are the licensing terms?
- Refer to the product page for the available delivery method, data format, and licensing terms. Confirm the permitted use and any restrictions on code snippets before downloading, training, or redistributing the data.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
High-quality data, ready for your next AI breakthrough.
Cite this Work
@dataset{Mobiusi2026,
title={Cloud Observability Instrumentation Code Understanding Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/70c6e87215ca29ecbdef0301505aa765?dataset_task_cate_id=6},
urldate={2026-10-28},
keywords={cloud observability dataset,instrumentation code dataset,cloud-native code understanding,coding agent training,distributed tracing code,telemetry analysis,context propagation analysis,observability code},
version={1.0}
}Using this in research? Please cite us.