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- ---
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- task_categories:
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- - question-answering
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- - translation
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- - table-question-answering
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- language:
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- - he
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- - ru
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- - fr
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- pretty_name: 'Multilingual QASem Datasets '
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- size_categories:
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- - 10K<n<100K
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ pretty_name: Multilingual QASem Dataset
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+ language:
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+ - he
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+ - ru
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+ - fr
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+ multilinguality: multilingual
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+ annotations_creators:
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+ - machine-generated
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+ - human-annotated
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+ size_categories:
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+ - 10K<n<100K
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+ task_categories:
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+ - text2text-generation
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+ - question-answering
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+ source_datasets:
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+ - Universal Dependencies
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+ - QASem
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+ license: cc-by-4.0
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+ tags:
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+ - qasem
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+ - qasrl
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+ - cross-lingual
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+ - multilingual
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+ - hebrew
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+ - russian
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+ - french
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+ - semantic-parsing
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+ - semantic-role-labeling
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+ ---
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+
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+ # 🧠 Multilingual QASem Dataset
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+
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+ A multilingual dataset for **QA-based Semantic Parsing (QASem)** covering **Hebrew, Russian, and French**.
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+ It includes automatically projected **training data** and manually validated **gold data (dev + test)** for evaluating cross-lingual QASem parsers.
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+
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+ ---
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+
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+ ## 📘 Overview
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+ This dataset provides **QA-based Semantic Representations (QASem)** in three typologically diverse languages.
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+ Each instance corresponds to a **predicate** and its associated **question–answer pairs**, representing the underlying semantic roles in natural language.
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+
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+ It is intended for training and evaluating **multilingual QASem parsers**, and for studying **cross-lingual projection**, **predicate preservation**, and **semantic role alignment**.
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+
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+ ---
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+
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+ ## 📂 Dataset Structure
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+ | Column | Description |
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+ |:--|:--|
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+ | `sent_id` | Sentence identifier |
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+ | `predicate` | Predicate in the target language |
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+ | `predicate_idx` | Token index of the predicate |
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+ | `question` | Generated or annotated question |
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+ | `answer` | Corresponding answer span |
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+ | `type` | Predicate type (VERB/NOM) |
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+ | `source_data` | Original UD source or split name |
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+
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+ ---
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+
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+ ## 🔧 Splits
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+ - **train** — automatically projected QASem data
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+ - **gold** — manually validated dev+test data
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+
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+ ---
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+
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+ ## 📜 License
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+ This dataset is distributed under the **Creative Commons Attribution 4.0 International License (CC BY 4.0)**.
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+ See [license details](https://creativecommons.org/licenses/by/4.0/).
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+
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+ ---
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+