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README.md
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license: cc-by-nc-sa-3.0
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dataset_info:
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features:
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- name: cocoid
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dtype: string
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- name: image
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---
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license: cc-by-nc-sa-3.0
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dataset_info:
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features:
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- name: cocoid
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dtype: string
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- name: image
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dtype: image
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- name: caption
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dtype: string
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splits:
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- name: train
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num_bytes: 1606551321
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num_examples: 10000
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download_size: 1602120962
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dataset_size: 1606551321
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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# Thai Image Captioning Dataset (Samples 10k)
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This dataset is a **Thai image captioning corpus** created to generate natural and human-like image captions in Thai.
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It includes a curated subset of **10,000 samples** randomly selected from the original training data, providing a smaller yet representative dataset for efficient experimentation.
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---
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## Dataset Description
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The dataset comprises high-quality image captions in Thai, designed for training and evaluating image captioning models. It integrates image-caption pairs from two main sources:
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1. **Microsoft COCO** – A publicly available dataset enriched with English captions.
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2. **Nectec IPU24** – A proprietary collection of image-caption pairs curated by NECTEC (Thailand).
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The smaller version, provided here (`train-sample10k`), is derived from the original datasets, offering a compact and effective resource for research and development.
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---
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## Data Source and Download
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- The full COCO 2017 dataset can be accessed and downloaded from the official website: [COCO Dataset](https://cocodataset.org/#download).
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- The Nectec IPU24 dataset is available through NECTEC's official portal: [NECTEC Corpus](https://aiforthai.in.th/corpus.php).
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---
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## Licensing and Usage
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The dataset inherits licensing terms from its respective sources:
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1. **COCO dataset** is licensed under the [Creative Commons Attribution 4.0 License](https://creativecommons.org/licenses/by/4.0/).
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2. **NECTEC Dataset** is licensed under the [Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License](https://creativecommons.org/licenses/by-nc-sa/3.0/).
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Please ensure proper attribution when using this dataset in research or commercial applications.
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