datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
IIIT-INDIC-HW-WORDS-Hindi
IIIT-INDIC-HW-WORDS-Hindi
Dataset containing images of hand written words in Devanagari by various humans and the corresponding text of those images.
Overview
The dataset, originally developed by the Centre for Visual Information Technology (CVIT) at IIIT Hyderabad, has been transformed into Parquet format to facilitate its use in modern machine learning workflows. This dataset primarily targets recognition of handwritten Hindi words and aims to advance research and… See the full description on the dataset page: https://huggingface.co/datasets/c3rl/IIIT-INDIC-HW-WORDS-Hindi.scope-benchmark
SCOPE Benchmark
Evaluation benchmark for the HRI '26 paper SCOPE: A Real-Time Natural Language Camera Agent at the Edge (arXiv:2606.02951). Test-only — no train split. 541 questions × 4 Blender scenes × 8 task categories.
The code that runs this benchmark lives at github.com/HindsboNikolaj/SCOPE.
When you chain a language model and a vision model together, how do you know which one failed?
Contents
scope-benchmark/
scope_541.csv… See the full description on the dataset page: https://huggingface.co/datasets/HindsboNikolaj/scope-benchmark.IIIT-INDIC-HW-WORDS-Hindi
IIIT-INDIC-HW-WORDS-Hindi
Dataset containing images of hand written words in Devanagari by various humans and the corresponding text of those images.
Overview
The dataset, originally developed by the Centre for Visual Information Technology (CVIT) at IIIT Hyderabad, has been transformed into Parquet format to facilitate its use in modern machine learning workflows. This dataset primarily targets recognition of handwritten Hindi words and aims to advance research… See the full description on the dataset page: https://huggingface.co/datasets/HarishBonu/IIIT-INDIC-HW-WORDS-Hindi.Hindi-Sign-Language-Datasethinged-state-classifier-crops
hinged-state-classifier-crops
Binary image classification dataset for open vs. closed state recognition of hinged surgical instruments.
Overview
This dataset contains cropped images of three hinged surgical tool categories:
CM = clamp
NH = needle holder
SH = shear
The target classes are:
open
closed
It is intended for training and evaluating hinge-state classifiers in a two-stage surgical tool recognition pipeline, where an instrument is first detected and then… See the full description on the dataset page: https://huggingface.co/datasets/joonhaim/hinged-state-classifier-crops.