datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
crag-mm-single-turn-public-v0.1.2-with-imagescrag-mm-single-turn-public-v0.1.2-with-images-gpt4.1-v2Flame-Waterfall-React-Single-Image
Flame-Waterfall-React: A Structured Data Synthesis Dataset for Multimodal React Code Generation
Flame-Waterfall-React is a dataset synthesized using the Waterfall-Model-Based Synthesis method, Advancing Vision-Language Models in Front-End Development via Data Synthesis. This dataset is designed to train vision-language models (VLMs) for React code generation from UI design mockups and specifications.
The Waterfall synthesis approach mimics real-world software development by… See the full description on the dataset page: https://huggingface.co/datasets/Flame-Code-VLM/Flame-Waterfall-React-Single-Image.winoground_single_image_testIDKB_single_with_image_val1.51-Million-Single-Image-Editing-Sample-Data
1.51-Million-Sets-of-Single-image-and-Multi-image-Fusion-Image-Editing-Data
Description
This dataset is just a sample of 1.51 Million Sets of Single-image and Multi-image Fusion Image Editing Data. Editing types include 500,000 sets of portrait/object consistency editing, 300,000 sets of structural edits, 210,000 sets of mixed editing, and 450,000 sets of spatial editing, and 50,000 sets of style transfer editing. The editing targets cover scenes such as people, animals… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-AI/1.51-Million-Single-Image-Editing-Sample-Data.JDocQA_SingleImage
JDocQA_SingleImage Dataset
Dataset Summary
JDocQA_SingleImageは、shunk031/JDocQAのtestサブセットを基に作成されたデータセットで、PDFファイルを200dpiの画像に変換し、画像が取得できない設問と複数画像が必要な設問を除外しています。元のデータセットが37GBと大きすぎるため、サイズを削減しつつ実用性を保つことを目的としています。
元データ: shunk031/JDocQA (test split, 1,176 instances)
変換後: PDFを画像に置き換え、画像が取得できてかつ単一画像入力の設問のみを含む
言語: 日本語 (BCP-47 ja-JP)
Data Fields
input_text: 質問テキスト
question_id: ユニークなID
answer: 回答
answer_type: 回答タイプ（0: Yes/No, 1: Factoid, 2: Numerical, 3: Open-ended）… See the full description on the dataset page: https://huggingface.co/datasets/umiyuki/JDocQA_SingleImage.ASD_3D_Images_Singlesmart-hr-synthetic-data-single-image-multiple-queriesJDocQA_SingleImage_200
JDocQA_SingleImage_200 Dataset
Dataset Summary
JDocQA_SingleImage_200は、shunk031/JDocQAのtestサブセットを基に作成されたデータセットで、PDFファイルを200dpiの画像に変換し、画像が取得できない設問と複数画像が必要な設問を除外しています。さらに計測時間短縮のために各設問形式毎に50問、計200問に絞りました。元のデータセットが37GBと大きすぎるため、サイズを削減しつつ実用性を保つことを目的としています。
元データ: shunk031/JDocQA (test split, 1,176 instances)
変換後: PDFを画像に置き換え、画像が取得できてかつ単一画像入力の設問のみを含む。さらに各設問形式毎に先頭から50問ずつに絞る。
言語: 日本語 (BCP-47 ja-JP)
Data Fields
input_text: 質問テキスト
question_id: ユニークなID
answer: 回答… See the full description on the dataset page: https://huggingface.co/datasets/umiyuki/JDocQA_SingleImage_200.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.IDKB_single_no_image_valimage-pointing-w-explanations-prompt-single-color-sft-swiftm2sv-sft-singleimagemy-single-image-dataset
Dataset Card for "my-single-image-dataset"
More Information needed
vivid_single_dataset_docmatix_100_imagefolder_dual_stage_mathematical_classifiedvivid_single_dataset_docmatix_1000_imagefolder_dual_stage_mathematical_classifiedfrozen-lake-action-safe-single-image-tag-20k-cot-train-6000smart-hr-synthetic-data-single-image-single-queryfrozen-lake-action-plan-single-image-tagfrozen-lake-action-safe-single-image-tag-cotvivid_single_dataset_docmatix_100_imagefolder_dual_stage_all_languagesfrozen-lake-action-safe-single-image-tag-20k-cot-test-200vivid_single_dataset_docmatix_100_imagefolder_dual_stage_classifiedfrozen-lake-action-plan-single-imagefrozen-lake-action-plan-single-image-cotvivid_single_dataset_docmatix_100_imagefolder_dual_stage_translatedvivid_single_dataset_docmatix_1000_imagefolder_dual_stage_v1ASD_3D_Images_Singlefrozen-lake-action-plan-single-image-tag-cot