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  1. README.md +13 -5
  2. Teyvat.py +1 -1
README.md CHANGED
@@ -17,28 +17,36 @@ dataset_info:
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  dtype: image
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  - name: text
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  dtype: string
 
 
 
 
 
 
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  ---
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  # Dataset Card for Teyvat BLIP captions
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- Dataset used to train [Teyvat characters text to image model](https://github.com/hpcaitech/ColossalAI/tree/main/examples/images/diffusion)
 
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  BLIP generated captions for characters images from [genshin-impact fandom wiki](https://genshin-impact.fandom.com/wiki/Character#Playable_Characters)and [biligame wiki for genshin impact](https://wiki.biligame.com/ys/%E8%A7%92%E8%89%B2).
 
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  For each row the dataset contains `image` and `text` keys. `image` is a varying size PIL png, and `text` is the accompanying text caption. Only a train split is provided.
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  The `text` include the tag `Teyvat`, `Name`,`Element`, `Weapon`, `Region`, `Model type`, and `Description`, the `Description` is captioned with the [pre-trained BLIP model](https://github.com/salesforce/BLIP).
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  ## Examples
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- <img src = "data/Ganyu_001.png" title = "Ganyu_001.png" style="max-width: 20%;" >
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  > Teyvat, Name:Ganyu, Element:Cryo, Weapon:Bow, Region:Liyue, Model type:Medium Female, Description:an anime character with blue hair and blue eyes
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- <img src = "data/Ganyu_002.png" title = "Ganyu_002.png" style="max-width: 20%;" >
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  > Teyvat, Name:Ganyu, Element:Cryo, Weapon:Bow, Region:Liyue, Model type:Medium Female, Description:an anime character with blue hair and blue eyes
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- <img src = "data/Keqing_003.png" title = "Keqing_003.png" style="max-width: 20%;" >
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  > Teyvat, Name:Keqing, Element:Electro, Weapon:Sword, Region:Liyue, Model type:Medium Female, Description:a anime girl with long white hair and blue eyes
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- <img src = "data/Keqing_004.png" title = "Keqing_004.png" style="max-width: 20%;" >
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  > Teyvat, Name:Keqing, Element:Electro, Weapon:Sword, Region:Liyue, Model type:Medium Female, Description:an anime character wearing a purple dress and cat ears
 
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  dtype: image
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  - name: text
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  dtype: string
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+ splits:
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+ - name: train
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+ num_bytes: 71202
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+ num_examples: 234
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+ download_size: 466995417
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+ dataset_size: 71202
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  ---
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  # Dataset Card for Teyvat BLIP captions
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+ Dataset used to train [Teyvat characters text to image model](https://github.com/hpcaitech/ColossalAI/tree/main/examples/images/diffusion).
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+
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  BLIP generated captions for characters images from [genshin-impact fandom wiki](https://genshin-impact.fandom.com/wiki/Character#Playable_Characters)and [biligame wiki for genshin impact](https://wiki.biligame.com/ys/%E8%A7%92%E8%89%B2).
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+
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  For each row the dataset contains `image` and `text` keys. `image` is a varying size PIL png, and `text` is the accompanying text caption. Only a train split is provided.
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  The `text` include the tag `Teyvat`, `Name`,`Element`, `Weapon`, `Region`, `Model type`, and `Description`, the `Description` is captioned with the [pre-trained BLIP model](https://github.com/salesforce/BLIP).
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  ## Examples
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+ <img src = "./data/Ganyu_001.png" title = "Ganyu_001.png" style="max-width: 20%;" >
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  > Teyvat, Name:Ganyu, Element:Cryo, Weapon:Bow, Region:Liyue, Model type:Medium Female, Description:an anime character with blue hair and blue eyes
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+ <img src = "./data/Ganyu_002.png" title = "Ganyu_002.png" style="max-width: 20%;" >
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  > Teyvat, Name:Ganyu, Element:Cryo, Weapon:Bow, Region:Liyue, Model type:Medium Female, Description:an anime character with blue hair and blue eyes
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+ <img src = "./data/Keqing_003.png" title = "Keqing_003.png" style="max-width: 20%;" >
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  > Teyvat, Name:Keqing, Element:Electro, Weapon:Sword, Region:Liyue, Model type:Medium Female, Description:a anime girl with long white hair and blue eyes
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+ <img src = "./data/Keqing_004.png" title = "Keqing_004.png" style="max-width: 20%;" >
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  > Teyvat, Name:Keqing, Element:Electro, Weapon:Sword, Region:Liyue, Model type:Medium Female, Description:an anime character wearing a purple dress and cat ears
Teyvat.py CHANGED
@@ -109,7 +109,7 @@ class Teyvat(datasets.GeneratorBasedBuilder):
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  data = load(open(meta_data_path, "r", encoding="utf8"))
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  for image in data:
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- image_path = join(data_path, image["file_name"])
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  text = image["text"]
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  data = load(open(meta_data_path, "r", encoding="utf8"))
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  for image in data:
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+ image_path = join(data_path, "data", image["file_name"])
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  text = image["text"]
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