Datasets:
Upload dataset, README and LICENSE
Browse files- LICENSE.txt +36 -0
- README.md +26 -0
- test.jsonl +0 -0
- train.jsonl +0 -0
- validation.jsonl +0 -0
LICENSE.txt
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MIT License (for code)
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======================
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Copyright (c) 2025 Dang Do Cao
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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---
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CC BY 4.0 License (for dataset)
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===============================
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You are free to:
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- Share — copy and redistribute the material in any medium or format
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- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
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Under the following terms:
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- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
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License details: https://creativecommons.org/licenses/by/4.0/
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README.md
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---
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pretty_name: "Vietnamese Question Answering Dataset"
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license: cc-by-4.0
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language:
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- vi
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task_categories:
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- question-answering
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tags:
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- vietnamese
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- nlp
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- dataset
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---
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# Vietnamese Question Answering Dataset
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## Mô tả
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Bộ dữ liệu này gồm các câu hỏi và câu trả lời tiếng Việt, được thiết kế cho các tác vụ **Question Answering** trong nghiên cứu và ứng dụng NLP.
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## Cấu trúc dữ liệu
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- **train.jsonl** (~80%)
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- **validation.jsonl** (~10%)
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- **test.jsonl** (~10%)
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Mỗi dòng là một đối tượng JSON:
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```json
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{"question": "Câu hỏi?", "answer": "Câu trả lời", "context": "Đoạn văn bản liên quan"}
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test.jsonl
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train.jsonl
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validation.jsonl
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See raw diff
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