Datasets:
license: mit
language:
- fa
multilinguality:
- monolingual
size_categories:
- 30k<n<50k
task_categories:
- question-answering
- conditional-text-generation
- text-generation
task_ids:
- conversational-question-answering
- question-answering
pretty_name: SynTranFa
SynTran-fa
Syntactic Transformed Version of Farsi QA datasets to make fluent responses from questions and short answers.
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: Sharif-SLPL
- Repository: SynTran-fa
- Point of Contact: Sadra Sabouri
- Size of dataset files: 6.12 MB
Dataset Summary
Generating fluent responses has always been challenging for the question-answering task, especially in low-resource languages like Farsi. In recent years there were some efforts for enhancing the size of datasets in Farsi. Syntran-fa is a question-answering dataset that accumulates the former Farsi QA dataset's short answers and proposes a complete fluent answer for each pair of (question, short_answer).
This dataset contains nearly 50,000 indices of questions and answers. The dataset that has been used as our sources were as follows:
- QA_DATASET1
- QA_DATASET2
- ...
Supported Tasks and Leaderboards
[More Information Needed]
Languages
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Dataset Structure
Data Instances
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Data Fields
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Data Splits
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Dataset Creation
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Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
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Citation Information
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Contributions
Thanks to @farhaaaaa for adding this dataset.