Datasets:
Update README.md
Browse files
README.md
CHANGED
@@ -1,5 +1,7 @@
|
|
1 |
# OpsEval Dataset
|
2 |
|
|
|
|
|
3 |
## Introduction
|
4 |
|
5 |
The OpsEval dataset represents a pioneering effort in the evaluation of Artificial Intelligence for IT Operations (AIOps), focusing on the application of Large Language Models (LLMs) within this domain. In an era where IT operations are increasingly reliant on AI technologies for automation and efficiency, understanding the performance of LLMs in operational tasks becomes crucial. OpsEval offers a comprehensive task-oriented benchmark specifically designed for assessing LLMs in various crucial IT Ops scenarios.
|
@@ -49,7 +51,9 @@ We would like to thank [Acknowledgments to contributors, institutions, funding b
|
|
49 |
|
50 |
For any questions or further information, please contact [Insert contact information]. -->
|
51 |
|
|
|
52 |
|
|
|
53 |
|
54 |
## Paper
|
55 |
|
|
|
1 |
# OpsEval Dataset
|
2 |
|
3 |
+
[Website](https://opseval.cstcloud.cn/content/home) | [Reporting Issues](https://github.com/NetManAIOps/OpsEval-Datasets/issues/new)
|
4 |
+
|
5 |
## Introduction
|
6 |
|
7 |
The OpsEval dataset represents a pioneering effort in the evaluation of Artificial Intelligence for IT Operations (AIOps), focusing on the application of Large Language Models (LLMs) within this domain. In an era where IT operations are increasingly reliant on AI technologies for automation and efficiency, understanding the performance of LLMs in operational tasks becomes crucial. OpsEval offers a comprehensive task-oriented benchmark specifically designed for assessing LLMs in various crucial IT Ops scenarios.
|
|
|
51 |
|
52 |
For any questions or further information, please contact [Insert contact information]. -->
|
53 |
|
54 |
+
## Website
|
55 |
|
56 |
+
For evaluation results on the full OpsEval dataset, please checkout our official website [OpsEval Leaderboard](https://opseval.cstcloud.cn/content/home).
|
57 |
|
58 |
## Paper
|
59 |
|