Datasets:

Modalities:
Text
Formats:
parquet
Libraries:
Datasets
pandas
iperbole commited on
Commit
9259f7c
1 Parent(s): d694119

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +18 -0
README.md CHANGED
@@ -28,3 +28,21 @@ configs:
28
  - split: test
29
  path: data/test-*
30
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
28
  - split: test
29
  path: data/test-*
30
  ---
31
+
32
+ Assessing DIScourse COherence in Italian TEXts (DISCOTEX)
33
+ Original Paper: https://sites.google.com/view/discotex/
34
+
35
+ Task presented at EVALITA-2023
36
+
37
+ The original task is about modelling discourse coherence for Italian texts.
38
+
39
+ We focalized only on the first sub-task: Last sentence Classification: given a short paragraph, and an individual sentence (target), the model will be asked to classify whether the target follows or not the paragraph.
40
+
41
+ To assess the capability of a Language Model to solve such kind of task we reframed the task as multi-choice QA.
42
+
43
+ The question will ask to the model given a short paragraph which target sentence is the correct between a list of four, the answers will be the starting letters of the relative target, and a fifth option that indicate that no one target is the correct continuation.
44
+
45
+ For each sample, if the sample has 1 as label, we set the relative target as gold answer and three other random targets (from other samples) as distractors. On the other way around, if the sample has 0 as label, we set the relative target and other three random targets (from other samples) as distractors, as the gold answer will be chosen the sentence: "nessuna delle precedenti".
46
+
47
+ Data statistics:
48
+ - add