README.md

metadata

dataset_info:
  - config_name: default
    features:
      - name: sample_id
        dtype: string
      - name: image
        dtype: image
      - name: components
        struct:
          - name: arc
            sequence:
              sequence:
                sequence: int16
          - name: bead
            sequence:
              sequence:
                sequence: int16
          - name: groove
            sequence:
              sequence:
                sequence: int16
          - name: nozzle
            sequence:
              sequence:
                sequence: int16
          - name: pool
            sequence:
              sequence:
                sequence: int16
          - name: seam
            sequence:
              sequence:
                sequence: int16
          - name: wire
            sequence:
              sequence:
                sequence: int16
    splits:
      - name: train
        num_bytes: 154779875
        num_examples: 2204
    download_size: 154261746
    dataset_size: 154779875
  - config_name: l1-recognition
    features:
      - name: sample_id
        dtype: string
      - name: image
        dtype: image
      - name: conversations
        list:
          - name: role
            dtype: string
          - name: content
            dtype: string
    splits:
      - name: train
        num_bytes: 93304104.305
        num_examples: 1629
    download_size: 94771619
    dataset_size: 93304104.305
  - config_name: l2-grounding
    features:
      - name: sample_id
        dtype: string
      - name: image
        dtype: image
      - name: conversations
        list:
          - name: role
            dtype: string
          - name: content
            dtype: string
    splits:
      - name: train
        num_bytes: 683959330.09
        num_examples: 9141
    download_size: 175395162
    dataset_size: 683959330.09
  - config_name: l3-spatial_relations
    features:
      - name: sample_id
        dtype: string
      - name: image
        dtype: image
      - name: conversations
        list:
          - name: role
            dtype: string
          - name: content
            dtype: string
    splits:
      - name: train
        num_bytes: 297585072.8
        num_examples: 4040
    download_size: 146975063
    dataset_size: 297585072.8
  - config_name: l4-segmentation
    features:
      - name: sample_id
        dtype: string
      - name: image
        dtype: image
      - name: conversations
        list:
          - name: role
            dtype: string
          - name: content
            dtype: string
    splits:
      - name: train
        num_bytes: 330066212.912
        num_examples: 4556
    download_size: 163462903
    dataset_size: 330066212.912
  - config_name: l5-quality_assessment
    features:
      - name: sample_id
        dtype: string
      - name: images
        sequence: image
      - name: conversations
        list:
          - name: role
            dtype: string
          - name: content
            dtype: string
    splits:
      - name: train
        num_bytes: 521838892.28
        num_examples: 2192
    download_size: 220023968
    dataset_size: 521838892.28
  - config_name: l6-defect_detection
    features:
      - name: sample_id
        dtype: string
      - name: images
        sequence: image
      - name: conversations
        list:
          - name: role
            dtype: string
          - name: content
            dtype: string
    splits:
      - name: train
        num_bytes: 2150110349.63
        num_examples: 4643
    download_size: 503116815
    dataset_size: 2150110349.63
  - config_name: l7-field_operations
    features:
      - name: sample_id
        dtype: string
      - name: images
        sequence: image
      - name: conversations
        list:
          - name: role
            dtype: string
          - name: content
            dtype: string
    splits:
      - name: train
        num_bytes: 112833914
        num_examples: 420
    download_size: 35110179
    dataset_size: 112833914
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
  - config_name: l1-recognition
    data_files:
      - split: train
        path: l1-recognition/train-*
  - config_name: l2-grounding
    data_files:
      - split: train
        path: l2-grounding/train-*
  - config_name: l3-spatial_relations
    data_files:
      - split: train
        path: l3-spatial_relations/train-*
  - config_name: l4-segmentation
    data_files:
      - split: train
        path: l4-segmentation/train-*
  - config_name: l5-quality_assessment
    data_files:
      - split: train
        path: l5-quality_assessment/train-*
  - config_name: l6-defect_detection
    data_files:
      - split: train
        path: l6-defect_detection/train-*
  - config_name: l7-field_operations
    data_files:
      - split: train
        path: l7-field_operations/train-*

Weld-Instruct

Sources and attribution

l6-defect_detection

• smaw_* rows (2,248 rows, 448 tiles): Ummah et al., "SMAW surface defect dataset", Mendeley Data v1 (2026-08-19), doi 10.17632/f7j76vz53p.1, licensed CC BY 4.0. Only the 448 un-augmented 640×640 tiles are used (author train 358 + test 90); the rotated / flipped / colour-jittered copies are excluded. Boxes are the authors' COCO annotations (spatter, undercut, slag inclusion), converted to [0,1000) coordinates. Multiple-choice explanations were written by a vision-language model from the tile and the annotated boxes and audited by a second model.
• intel_* rows: Intel weld-defect photographs (6-way classification, zoomed views).
• numeric-id rows: rikkarth weld-quality grounding data.