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  license: apache-2.0
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  task_categories:
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  - text-generation
 
 
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  language:
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  - dv
 
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  tags:
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  - language
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  - dhivehi
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  - questions
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  - answers
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  - translations
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- pretty_name: axya-qa
 
 
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  size_categories:
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  - 1K<n<10K
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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  task_categories:
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  - text-generation
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+ - question-answering
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+ - translation
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  language:
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  - dv
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+ - en
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  tags:
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  - language
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  - dhivehi
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  - questions
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  - answers
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  - translations
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+ - bilingual
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+ - qa
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+ pretty_name: Axya Tech QA Dataset
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  size_categories:
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  - 1K<n<10K
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+ ---
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+
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+ # Axya Tech QA Dataset
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+
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+ ## Dataset Summary
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+
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+ The Axya Tech QA Dataset is a comprehensive bilingual question-answering and translation dataset focused on the Dhivehi (Divehi) language. This dataset contains 1,000+ examples covering various types of language tasks including question-answering in Dhivehi about Maldives, bidirectional translation between English and Dhivehi, and conversational interactions. The dataset is designed to support the development of multilingual NLP models with a focus on the underrepresented Dhivehi language.
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ Each instance in the dataset contains the following fields:
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+ - `instruction`: The task instruction or prompt
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+ - `input`: The input text or question
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+ - `output`: The expected output or answer
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+ - `language`: The target language for the output
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+ - `task_type`: The type of task being performed
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+
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+ ### Data Fields
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+
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+ - **instruction** (string): Contains the task instruction, such as "Respond in Dhivehi to:" or "Translate the following English sentence to Dhivehi:"
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+ - **input** (string): The input text, question, or sentence to be processed
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+ - **output** (string): The correct output, answer, or translation
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+ - **language** (string): The language of the expected output ("Dhivehi" or "English")
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+ - **task_type** (string): The specific task category:
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+ - `qa_dv`: Question-answering in Dhivehi
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+ - `translation_en_to_dv`: English to Dhivehi translation
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+ - `translation_dv_to_en`: Dhivehi to English translation
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+
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+ ### Data Splits
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+
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+ The dataset contains a single split:
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+ - **train**: ~1,000 examples
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+
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+ ## Source Data
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+
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+ ### Initial Data Collection and Normalization
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+
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+ The dataset appears to be curated specifically for educational and research purposes focusing on:
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+ - Cultural knowledge about the Maldives
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+ - Common conversational phrases and expressions
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+ - Everyday vocabulary and sentence structures
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+ - Bidirectional translation capabilities
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+
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+ ### Who are the source language producers?
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+
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+ The dataset contains content related to Dhivehi language and Maldivian culture, suggesting involvement of native Dhivehi speakers or language experts familiar with Maldivian cultural context.
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+
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+ ## Intended Use
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ - **Question Answering**: Answering questions about Maldives and general topics in Dhivehi
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+ - **Machine Translation**: Bidirectional translation between English and Dhivehi
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+ - **Text Generation**: Generating responses in Dhivehi for various prompts
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+ - **Language Understanding**: Understanding and processing Dhivehi text
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+
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+ ### Languages
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+
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+ - **Primary**: Dhivehi (dv) - The official language of the Maldives
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+ - **Secondary**: English (en) - Used for translation pairs and instructions
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ This dataset was created to address the lack of high-quality bilingual resources for the Dhivehi language. It focuses on:
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+ 1. Preserving and digitizing Dhivehi language content
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+ 2. Enabling cross-lingual understanding between English and Dhivehi
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+ 3. Supporting the development of NLP tools for underrepresented languages
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+ 4. Providing cultural and factual information about the Maldives
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+
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+ ### Source Data
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+
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+ The dataset includes:
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+ - Cultural and factual information about the Maldives
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+ - Common phrases and everyday conversations
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+ - Translation pairs covering various topics
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+ - Question-answer pairs in both languages
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ This dataset contributes to the preservation and promotion of the Dhivehi language in digital spaces. It can help:
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+ - Develop better language technologies for Dhivehi speakers
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+ - Support language learning and education
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+ - Preserve cultural knowledge and linguistic diversity
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+ - Enable better cross-cultural communication
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+
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+ ### Discussion of Biases
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+
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+ Users should be aware that:
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+ - The dataset may reflect cultural perspectives specific to the Maldives
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+ - Translation quality may vary across different domains
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+ - The dataset size is limited, which may affect model generalization
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+
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+ ### Other Known Limitations
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+
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+ - Limited domain coverage (primarily focused on cultural and general topics)
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+ - Relatively small dataset size for deep learning applications
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+ - May not cover all dialectal variations of Dhivehi
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ Dataset created and curated by axmeeabdhullo.
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+
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+ ### Licensing Information
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+
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+ This dataset is released under the Apache License 2.0.
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+
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+ ### Citation Information
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+
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+ ```bibtex
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+ @dataset{axya_tech_qa_2024,
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+ title={Axya Tech QA Dataset: A Bilingual Question-Answering and Translation Dataset for Dhivehi},
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+ author={axmeeabdhullo},
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+ year={2024},
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+ publisher={Hugging Face},
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+ url={https://huggingface.co/datasets/axmeeabdhullo/axya-tech-qa}
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+ }
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+ ```
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+
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+ ### Contributions
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+
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+ Thanks to the contributors who helped create this dataset to support Dhivehi language processing and preservation efforts.
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+
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+ ---
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+
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+ *This dataset card was created to provide comprehensive information about the Axya Tech QA dataset. For questions or issues, please use the Community tab.*