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Add PRICE benchmark overview to dataset card

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  1. .gitattributes +1 -0
  2. README.md +9 -1
  3. assets/PRICE.pdf +3 -0
  4. assets/price_overview.png +3 -0
.gitattributes CHANGED
@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ assets/PRICE.pdf filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -26,6 +26,14 @@ Given an initial-state image and a natural-language instruction, a model predict
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  The evaluation code and protocol live in [`evaluation/image_gen/PRICE/` in orca-wm/Orca](https://github.com/orca-wm/Orca/tree/main/evaluation/image_gen/PRICE).
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  ## Dataset structure
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  The dataset contains one `test` split with 100 samples and the following principal columns:
@@ -50,7 +58,7 @@ Additional provenance fields, timestamps, indices, random seed, and image checks
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  ## Usage
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- After this folder is uploaded as a Hugging Face Dataset repository:
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  ```python
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  from datasets import load_dataset
 
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  The evaluation code and protocol live in [`evaluation/image_gen/PRICE/` in orca-wm/Orca](https://github.com/orca-wm/Orca/tree/main/evaluation/image_gen/PRICE).
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+ ## Benchmark overview
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+
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+ Each PRICE example pairs a natural-language instruction and an initial-state image with a reference target-state image. The examples below illustrate the benchmark's diverse robot and egocentric interaction scenes, viewpoints, and action outcomes.
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+
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+ ![PRICE benchmark examples](assets/price_overview.png)
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+
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+ *Examples from PRICE. Each pair shows the initial state and the target state corresponding to the instruction. [View the original PDF figure](assets/PRICE.pdf).*
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+
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  ## Dataset structure
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  The dataset contains one `test` split with 100 samples and the following principal columns:
 
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  ## Usage
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+ Load PRICE directly from Hugging Face:
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  ```python
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  from datasets import load_dataset
assets/PRICE.pdf ADDED
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+ size 2370302
assets/price_overview.png ADDED

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  • SHA256: 9842d31af678f3aef660075d88609bbe35812eee6c6a20062ab593dd9c014fdc
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