From d38a1459a86d9df1d0583488297d5b5cafb319ba Mon Sep 17 00:00:00 2001
From: RacheleSprugnoli <25791985+RacheleSprugnoli@users.noreply.github.com>
Date: Thu, 1 Feb 2024 10:16:46 +0100
Subject: [PATCH] Update EvaLatin.md

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 2024/EvaLatin.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/2024/EvaLatin.md b/2024/EvaLatin.md
index 09f894b..03f2c9d 100755
--- a/2024/EvaLatin.md
+++ b/2024/EvaLatin.md
@@ -23,8 +23,6 @@ The LT4HALA 2024 workshop will also be the venue of the third edition of *EvaLat
 
 EvaLatin 2024 edition will have 2 task, i.e. Dependency Parsing and Emotion Polarity Detection. Shared test data and an evaluation script will be provided to the participants who will choose to participate in either one or all tasks. 
 
-**22/12/2024: [Guidelines](https://github.com/CIRCSE/LT4HALA/blob/master/2024/data_and_doc/EvaLatin_2024_guidelines.pdf) are available.**
-
 EvaLatin 2024 is organized by Rachele Sprugnoli, Federica Iurescia and Marco Passarotti.
 
 ### IMPORTANT DATES
@@ -47,6 +45,7 @@ EvaLatin 2024 is organized by Rachele Sprugnoli, Federica Iurescia and Marco Pas
 The dependency parsing task is based on the Universal Dependencies framework. **No** specific training data was not released but participants are free to make use of any (kind of) resource they consider useful for the task, including the Latin treebanks already available in the UD collection. In this regard, one of the challenges of this task is to understand which treebank (or combination of treebanks) is the most suitable to deal with new test data. Test data includes both prose and poetic texts.
 
 **1 February 2024 –> Download [test data for the Dependency Parsing task](https://github.com/CIRCSE/LT4HALA/blob/master/2024/data_and_doc/EvaLatin_2024_Syntactic_Parsing_test_data.zip)**
+
 **1 February 2024 –> Check the [updated version of the guidelines](https://github.com/CIRCSE/LT4HALA/blob/master/2024/data_and_doc/EvaLatin_2024_V11_parsing.pdf) with information about test data and the baseline**