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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01champion666 /SparseTable_Bench_Datasetimageimage-to-text10K<n<100K0 likes90 downloads4mo agoHugging Face02flaitenberger /cephalometry-novel-sparse-duplicates-single-image Cephalometry Duplicates (Single Image Rows) Generated from flaitenberger/cephalometry-novel-sparse-duplicates. Generated: 2026-02-11T11:37:26.322342Z Rows: 60 One image per row (image) with two annotation sets (points_1, points_2). image_document_name is the representative image document. annotation_1_document_name and annotation_2_document_name identify the two source annotation docs. Important: This is a structural reformat to one-image-per-row. It does not prove physical pixel… See the full description on the dataset page: https://huggingface.co/datasets/flaitenberger/cephalometry-novel-sparse-duplicates-single-image.imagen<1K0 likes19 downloads8mo agoHugging Face03flaitenberger /cephalometry-novel-sparse-duplicates-grouped Cephalometry Duplicates (Grouped, One Image Per Row) Generated from flaitenberger/cephalometry-novel-sparse + local DB grouping. Generated: 2026-02-11T11:39:41.052613Z Rows: 73 One representative image per row (image) Variable number of annotation sets per row (annotation_points_list) with annotation_set_count >= 2 Grouping rule: group by (patient_id, created) in DB for XHeadLat docs with point results. keep groups where at least 2 docs are present in source HF dataset and point… See the full description on the dataset page: https://huggingface.co/datasets/flaitenberger/cephalometry-novel-sparse-duplicates-grouped.imagen<1K0 likes16 downloads8mo agoHugging Face

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