Datasets:

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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ # ... (license, tags, etc.)
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+ dataset_info:
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+ features:
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+ # Fields directly from your metadata.jsonl
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+ - name: file_name # This is standard for image datasets
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+ dtype: string
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+ - name: image_id # The ID you added
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+ dtype: string # Since we made it string
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+ - name: height
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+ dtype: int32 # Assuming it's int32, adjust if needed
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+ - name: width
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+ dtype: int32 # Assuming it's int32
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+ - name: dataset_origin
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+ dtype: string
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+ - name: distance_category
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+ dtype: string
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+ - name: objects
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+ sequence:
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+ feature:
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+ - name: id
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+ dtype: string # Annotation ID, now string
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+ - name: area
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+ dtype: float32
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+ - name: bbox
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+ sequence: float32
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+ - name: category_id
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+ dtype: int64 # Or int32, should be integer
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+ - name: categories
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+ sequence:
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+ feature:
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+ - name: id
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+ dtype: int64 # Category ID
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+ - name: name
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+ dtype: string
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+ - name: supercategory
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+ dtype: string
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+ # The 'image' field is often implicitly handled or can be added
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+ - name: image
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+ dtype: image
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+ # --- Add config information if you have multiple (coco_far_voc, etc.) ---
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+ # This helps Croissant understand different parts of your dataset
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+ configs:
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+ - config_name: coco_far_voc # Match your restructured folder names
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+ # data_files: # Optional but can help Croissant
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+ # - split: train # Or whatever your split name is
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+ # path: coco_far_voc/metadata.jsonl # Path relative to dataset root
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+ # - split: train
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+ # path: coco_far_voc/* # For images
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+ - config_name: coco_farther_bdd
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+ # ... and so on for all 6 configurations
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+ - config_name: oi_far_voc
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+ - config_name: oi_farther_bdd
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+ - config_name: oi_near_voc
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+ - config_name: coco_near_voc
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+
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+ ---
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+ # Rest of your README.md content