Update README.md

Multilingual QASem Dataset

This dataset provides QA-based Semantic Representations (QASem) in three typologically diverse languages — Hebrew, Russian, and French.
It is designed for training and evaluating multilingual QASem parsers, supporting research on cross-lingual semantic representation and projection.

Dataset composition

Training set – automatically projected data generated via translation and alignment from English QASem annotations.

Gold set (dev + test) – manually validated question–answer pairs for precise evaluation.

Each entry corresponds to a predicate and its associated question–answer pairs, representing the underlying semantic roles of the sentence in natural language form.

README.md

@@ -1,13 +1,13 @@
----
-task_categories:
-- question-answering
-- translation
-- table-question-answering
-language:
-- he
-- ru
-- fr
-pretty_name: 'Multilingual QASem Datasets '
-size_categories:
-- 10K<n<100K
+---
+task_categories:
+- question-answering
+- translation
+- table-question-answering
+language:
+- he
+- ru
+- fr
+pretty_name: 'Multilingual QASem Datasets '
+size_categories:
+- 10K<n<100K
 ---