First commit

.gitignore

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+/src
+*.py

README.md

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----
-license: cc-by-nc-sa-4.0
----
+---
+license: cc-by-nc-sa-4.0
+annotations_creators:
+- machine-generated
+language:
+- en
+- zh
+language_creators:
+- other
+multilinguality:
+- multilingual
+pretty_name: 'Pokémon BLIP captions'
+size_categories:
+- n<1K
+source_datasets:
+- svjack/pokemon-blip-captions-en-zh
+tags: []
+task_categories:
+- text-to-image
+task_ids: []
+---
+
+# Data Card for Pokémon BLIP captions with English and Traditional Chinese
+
+[![Hugging Face Space](https://img.shields.io/badge/fork-huggingface-blue?style=social)](https://huggingface.co/datasets/svjack/pokemon-blip-captions-en-zh)
+
+## Dataset Summary
+
+本資料集用於訓練寶可夢文本生成圖像模型，**新增**了繁體中文欄位：`zh_tw_text`。並**移除**原先的簡體中文欄位：`zh_tw`。
+
+[BLIP](https://arxiv.org/abs/2201.12086) 為寶可夢圖像生成了標註（captions），這些圖像來自於「[Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis (FastGAN)](https://openreview.net/forum?id=1Fqg133qRaI)」中引入的少量樣本寶可夢資料集。原始圖像是從 [FastGAN-pytorch](https://github.com/odegeasslbc/FastGAN-pytorch?tab=readme-ov-file) 獲得的，並使用預訓練的 BLIP 模型生成標註。
+
+對於每一行資料，資料集包含`圖像`、`en_text`（英文標註）和 `zh_tw_text`（繁體中文標註）欄位。圖像為不同尺寸的 PIL jpeg，文本為相應的標註文本。僅提供訓練集分割（train split），並未提供測試集分割（eval split）。
+
+[原始資料集](https://huggingface.co/datasets/svjack/pokemon-blip-captions-en-zh)內的簡體中文標註是透過 Deepl 翻譯生成的，然而在此延伸版本的資料集內的繁體中文翻譯是透過 [opencc-python-reimplemented](https://pypi.org/project/opencc-python-reimplemented/) 套件完成的。
+
+## Languages
+繁體中文。
+
+## License
+Creative Commons Attribution Non Commercial Share Alike 4.0

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dataset_infos.json

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+{
+    "lianghsun--pokemon-blip-captions-en-zh_tw": {
+        "description": "This dataset is a fork from the original svjack/pokemon-blip-captions-en-zh. It contains captions generated for Pokémon images from the Few Shot Pokémon dataset introduced by 'Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis (FastGAN)'. The original images were captioned using the pre-trained BLIP model, with English captions in the 'en_text' field and Chinese captions in the 'zh_tw_text' field, which were converted to Traditional Chinese using the opencc-python-reimplemented package.",
+        "citation": "If you use this dataset, please cite the original work from svjack and FastGAN: \n\n@article{li2021fastgan,\n  title={Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis},\n  author={Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal},\n  journal={ICLR 2021},\n  year={2021}\n}",
+        "homepage": "https://huggingface.co/datasets/lianghsun/pokemon-blip-captions-en-zh_tw",
+        "license": "Creative Commons Attribution Non Commercial Share Alike 4.0",
+        "features": {
+            "image": {
+                "decode": true,
+                "id": null,
+                "_type": "Image"
+            },
+            "en_text": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "zh_tw_text": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            }
+        },
+        "post_processed": "Removed zh_text and added zh_tw_text using opencc-python-reimplemented to convert to Traditional Chinese. Additionally, replaced '小精靈' with '寶可夢'.",
+        "supervised_keys": null,
+        "task_templates": null,
+        "builder_name": "imagefolder",
+        "config_name": "pokemon",
+        "version": {
+            "version_str": "1.0.0",
+            "description": "Initial release with Traditional Chinese translations",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 119450251.0,
+                "num_examples": 833,
+                "dataset_name": "pokemon-blip-captions-en-zh_tw"
+            }
+        },
+        "download_checksums": null,
+        "download_size": 99686892,
+        "post_processing_size": null,
+        "dataset_size": 119450251.0,
+        "size_in_bytes": 219137143.0
+    }
+}