Link full GHAW-H challenge call

README.md

@@ -35,14 +35,9 @@ Public documentation, executable notebooks, schema material, and the project web
 
 ## Call for Papers
 
-Researchers and practitioners are invited to leverage the GHAW-H dataset to advance research in Natural Language-Based Software Engineering. The dataset enables studies on how natural-language specifications, instructions, and workflow descriptions are used to define, execute, and evolve GitHub Agentic Workflows in real-world open-source repositories.
+GHAW-H is the dataset for the GitHub Agentic Workflows Challenge at NLBSE 2027. Researchers and practitioners are invited to study natural-language agentic workflow specifications, their compiled GitHub Actions workflows, and their evolution in public repositories.
 
-GHAW-H can support reproducible empirical studies, tool demonstrations, replication studies, negative results, and position papers aligned with NLBSE tracks on NLP methods, datasets, tools, and emerging challenges for software engineering.
-
-NLBSE 2027 Workshop ([https://nlbse2027.github.io](https://nlbse2027.github.io))
-
-Deadline: pending
-Location: Dublin, Ireland
+[Read the full Call for Papers →](https://pavt.github.io/GHAW-H/calls/nlbse-2027-ghaw-challenge/)
 
 ## Quick Look