diff --git a/lib/shroom/README.md b/lib/shroom/README.md
index c0611ed..3abbafd 100644
--- a/lib/shroom/README.md
+++ b/lib/shroom/README.md
@@ -1,29 +1,40 @@
 # SemEval-2025 Task-3 — Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
 
+[Description](#description) | [Data](#data) | [Models](#models) | [Results](#results) |
+[Leaderboard](#leaderboard) |[Contributors](#contributors)
 
-[Description](#description) | [Data](#data) | [Models](#models) | [Results](#results) |  [Leaderboard](#leaderboard) |[Contributors](#contributors)
-
-In this repo, we provide our solution to solve [Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes](https://helsinki-nlp.github.io/shroom/).
+In this repo, we provide our solution to solve
+[Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes](https://helsinki-nlp.github.io/shroom/).
 
 ## Description
 
-ARKHN aims to detect hallucination spans in the outputs of instruction-tuned LLMs in a multilingual context in Mu-SHROOM, which stands for “Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes”. 
+ARKHN aims to detect hallucination spans in the outputs of instruction-tuned LLMs in a multilingual
+context in Mu-SHROOM, which stands for “Multilingual Shared-task on Hallucinations and Related
+Observable Overgeneration Mistakes”.
 
 Evaluation metrics:
-- intersection-over-union of characters marked as hallucinations in the gold reference vs. predicted as such
-- how well the probability assigned by the participants’ system that a character is part of a hallucination correlates with the empirical probabilities observed in our annotators.
+
+- intersection-over-union of characters marked as hallucinations in the gold reference vs. predicted
+  as such
+- how well the probability assigned by the participants’ system that a character is part of a
+  hallucination correlates with the empirical probabilities observed in our annotators.
 
 ## Data
+
 (updating)
 
 ## Models
+
 (updating)
 
 ## Results
+
 (updating)
 
 ## Leaderboard
+
 (updating)
 
 ## Contributors
+
 (updating)