datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
multi-ocr-source-pdfs
MultiFinBen OCR source documents
📄 Paper · 💻 Code · 🌐 The Fin AI
Raw source documents behind the OCR tasks of MultiFinBen — MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application (arXiv:2506.14028). Formerly TheFinAI/OCR_Task (the old name redirects here).
This is not an evaluation set. For the curated OCR benchmarks use en-ocr, es-ocr, gr-ocr and jp-ocr.
Contents
Sources: U.S. SEC EDGAR filings (PDF/HTML) and… See the full description on the dataset page: https://huggingface.co/datasets/TheFinAI/multi-ocr-source-pdfs.v2.5-box-precise-and-multi-source-suplement
v2.5 box precise and multi source suplement
Quick card
Field
Reference
Use
Train or inspect probable-fire proposals and the separate fire/smoke annotation view.
Expected input
Original images; COCO xywh boxes in original-image pixels; choose fire_smoke or probable_fire.
Example
Read one probable_fire row, retain image dimensions and its source-specific box view.
Limits
Public rights-filtered subset; not the complete retained training corpus. Do… See the full description on the dataset page: https://huggingface.co/datasets/fireviewer/v2.5-box-precise-and-multi-source-suplement.skin-assessment-images-multisource-provenance-preservedA source-stratified package of 20,153 distinct skin-condition images in 16 target classes. The archive Skin_Assessment_Multi_Source_Provenance_Preserved.zip contains the image tree and package metadata, including manifest.csv, class_counts.csv, source_class_counts.csv, and source_license_metadata.csv.
The archive was built by exact SHA-256 deduplication: 20,153 included image files have distinct hashes. Its manifest contains 21,052 source rows, including 899 excluded exact-duplicate records.… See the full description on the dataset page: https://huggingface.co/datasets/Cuebot/skin-assessment-images-multisource-provenance-preserved.sonarvision-multisource-v6
🌊 KADAL Multi-Source Side-Scan Sonar Dataset (v6)
SIH 2026 | SIH26057 (Ministry of Earth Sciences / NIOT) — AI-Powered Automated Underwater Marine Debris and Anomaly Detection System using Side-Scan Sonar Imagery.
Official Project Source Code & Documentation:🔗 https://github.com/Dinoman67/sonarvision(Refer to the GitHub repository for preprocessing scripts, augmentations, model weights, edge dashboard, and optional supporting features such as C2 (NMEA/KML) exports… See the full description on the dataset page: https://huggingface.co/datasets/Dinoman1221/sonarvision-multisource-v6.high_quality_data_10k_multisource