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row_id
int32
6
1.95k
patient_id
stringlengths
6
6
tx_phase
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2 values
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Post-Tx
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264
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268
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282
283
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Pre-Tx
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284
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Pre-Tx
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285
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Pre-Tx
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286
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Post-Tx
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Post-Tx
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291
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Pre-Tx
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292
293
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293
End of preview. Expand in Data Studio

Malocclusal Occlusal Image Dataset

부정교합 교합 이미지 데이터셋

Internal Use Only

This dataset repository is private and intended solely for internal research and development. Redistribution or external use is prohibited.
본 데이터셋 저장소는 비공개(private)이며 내부 연구 및 개발 목적으로만 사용됩니다. 외부 배포 또는 재사용은 금지됩니다.


Overview

This repository provides occlusal image datasets derived from patient-level records. All dataset splits are performed at the patient level to prevent information leakage.
본 저장소는 환자 단위(patient-level) 기록으로부터 생성된 교합 이미지 데이터셋을 제공합니다. 모든 데이터 분할은 환자 단위로 수행되어 정보 누출을 방지합니다.

The dataset is distributed in two configurations within the same Hugging Face dataset repository.
본 데이터셋은 하나의 Hugging Face dataset repository 내에서 두 가지 구성(configuration) 으로 제공됩니다.

Both configurations are always generated and uploaded together by the current build script.
현재 빌드 스크립트에서는 두 구성 모두가 항상 함께 생성 및 업로드됩니다.


Dataset Configurations

데이터셋 구성

default (pairwise)

  • One sample contains a pair of images: right and left occlusal views.
    하나의 샘플은 우측과 좌측 교합 이미지 한 쌍을 포함합니다.
  • Intended for models that jointly process bilateral occlusal information.
    양측 교합 정보를 함께 처리하는 모델을 대상으로 합니다.

single_image

  • One sample contains a single image (either right or left).
    하나의 샘플은 우측 또는 좌측 중 하나의 이미지만 포함합니다.
  • Generated by exploding the pairwise dataset.
    pairwise 데이터셋을 분해(explode)하여 생성됩니다.
  • Intended for single-view or image-only models.
    단일 뷰 또는 이미지 단독 입력 모델을 대상으로 합니다.

Splits

All configurations provide the same split structure:
모든 구성은 동일한 데이터 분할 구조를 가집니다.

  • train
  • validation
  • test

Patient-wise split constraint

  • All samples from the same patient_id always belong to the same split.
    동일한 patient_id에 속한 모든 샘플은 항상 동일한 split에 속합니다.
  • This constraint is enforced identically for both configurations.
    이 제약은 두 구성 모두에 동일하게 적용됩니다.
  • This prevents train–test leakage across configurations.
    이를 통해 구성 간 train–test 정보 누출을 방지합니다.

Dataset Schema

Config: default (pairwise)

Field Type Description
image_r Image Right occlusal image / 우측 교합 이미지
image_l Image Left occlusal image / 좌측 교합 이미지
class_r ClassLabel (0..2) Angle class (right) / 우측 Angle 분류
class_l ClassLabel (0..2) Angle class (left) / 좌측 Angle 분류
dist_r float32 Continuous distance (right) / 우측 연속 거리값
dist_l float32 Continuous distance (left) / 좌측 연속 거리값
patient_id string Patient identifier / 환자 식별자
tx_phase string Treatment phase / 치료 단계
row_id int32 Pairwise row index / pairwise 행 인덱스
idx int32 Source index (tracking) / 원본 인덱스

Config: single_image

Field Type Description
image Image Occlusal image / 교합 이미지
side string "r" or "l" / 우측 또는 좌측
label ClassLabel (0..2) Angle class / Angle 분류
dist float32 Continuous distance / 연속 거리값
patient_id string Patient identifier / 환자 식별자
tx_phase string Treatment phase / 치료 단계
parent_row_id int32 Source pairwise row / 원본 pairwise 행
parent_idx int32 Source index (tracking) / 원본 인덱스

Label Convention (라벨 규칙)

  • Angle class labels use 0-based indexing: {0, 1, 2}
    Angle 분류 라벨은 0부터 시작하는 인덱스 {0, 1, 2}를 사용합니다.
    • 0: Angle Class 1
    • 1: Angle Class 2
    • 2: Angle Class 3
  • Labels are converted once during dataset construction.
    라벨 변환은 데이터셋 생성 시 한 번만 수행됩니다.
  • Class semantics follow the standard Angle classification.
    분류 의미는 표준 Angle 분류 체계를 따릅니다.

Usage (사용 방법)

Load pairwise dataset (default)

from datasets import load_dataset

ds = load_dataset("dsaint31/hf_maloccu")

Load single-image dataset

from datasets import load_dataset

ds_img = load_dataset("dsaint31/hf_maloccu", "single_image")

Notes (참고 사항)

  • Dataset splits are patient-wise, not sample-wise. 데이터 분할은 샘플 단위가 아닌 환자 단위로 수행됩니다.
  • Both configurations always share the same patient split. 두 구성은 항상 동일한 환자 분할을 공유합니다.
  • Tracking fields (row_id, idx, parent_row_id, parent_idx) are provided for internal analysis and traceability. 추적용 필드(row_id, idx, parent_row_id, parent_idx)는 내부 분석 및 정합성 검증을 위해 제공됩니다.
  • Images are stored as grayscale PNGs and embedded into parquet files during Hub upload (embed_external_files=True). 이미지는 grayscale PNG로 저장되며 Hub 업로드 시 parquet 파일에 직접 포함됩니다(embed_external_files=True).

License

Proprietary – Internal use only.

This dataset and any derived artifacts are intended for internal use only. Unauthorized copying, distribution, or modification is prohibited. 본 데이터셋 및 파생 결과물은 내부 사용만을 목적으로 하며, 무단 복제, 배포, 수정은 금지됩니다.

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