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metadata
license: other
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
source_datasets:
  - 0jl/SPair-71k
dataset_info:
  features:
    - name: images
      list:
        image:
          decode: false
    - name: inputs
      dtype: string
    - name: labels
      dtype:
        class_label:
          names:
            '0': r0c0
            '1': r0c1
            '2': r0c2
            '3': r0c3
            '4': r0c4
            '5': r0c5
            '6': r0c6
            '7': r1c0
            '8': r1c1
            '9': r1c2
            '10': r1c3
            '11': r1c4
            '12': r1c5
            '13': r1c6
            '14': r2c0
            '15': r2c1
            '16': r2c2
            '17': r2c3
            '18': r2c4
            '19': r2c5
            '20': r2c6
            '21': r3c0
            '22': r3c1
            '23': r3c2
            '24': r3c3
            '25': r3c4
            '26': r3c5
            '27': r3c6
            '28': r4c0
            '29': r4c1
            '30': r4c2
            '31': r4c3
            '32': r4c4
            '33': r4c5
            '34': r4c6
            '35': r5c0
            '36': r5c1
            '37': r5c2
            '38': r5c3
            '39': r5c4
            '40': r5c5
            '41': r5c6
            '42': r6c0
            '43': r6c1
            '44': r6c2
            '45': r6c3
            '46': r6c4
            '47': r6c5
            '48': r6c6
    - name: metadata
      dtype: string
  splits:
    - name: train
      num_bytes: 44059042998
      num_examples: 100000
    - name: validation
      num_bytes: 43287942
      num_examples: 100
    - name: test
      num_bytes: 43615519
      num_examples: 100
  download_size: 44053985482
  dataset_size: 44145946459

spair71k-grid

SPair-71k native correspondences: mark the source, classify the target 7x7 cell.

Native train/validation/test image sets must be disjoint. Every supplied keypoint correspondence is eligible; a bounded mirror samples keypoints uniformly rather than selecting one fixed point per pair. Target images retain their original encoded bytes. PASCAL/Flickr source terms apply.

Original data: 0jl/SPair-71k. Repackaged as parquet for tasksource by scripts/repackage_dataset/regions.py.

Conversion provenance: source revisions, hashes, configuration and exclusions.

Release scope

Bounded samples of the eligible native annotations; full classification ontologies are retained.

  • default: train: 100,000, validation: 100, test: 100.

See provenance.json for source pins, selection seeds, rendering configuration and exclusions.