datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
drawvla-prompt-validation-v3
DrawVLA — Sketch-Prompt Validation
Circle (which) + arrow (where) + caption (what) visual instructions overlaid on
LIBERO observations, each labelled with a binary
verdict for training a prompt validator or a self-checking VLA:
right — every channel is correct and exactly one reading survives; execute.
wrong — a channel is incorrect or the deictic prompt remains under-determined;
reject. Formerly ambiguous prompts are retained in this class.
All captions are name-free L2/L3… See the full description on the dataset page: https://huggingface.co/datasets/shibuina/drawvla-prompt-validation-v3.drawvla-prompt-validation-clean
DrawVLA — Sketch-Prompt Validation
Circle (which) + arrow (where) + caption (what) visual instructions overlaid on
LIBERO observations, each labelled with a binary
verdict for training a prompt validator or a self-checking VLA:
right — every channel is correct and exactly one reading survives; execute.
wrong — a channel is incorrect or the deictic prompt remains under-determined;
reject. Formerly ambiguous prompts are retained in this class.
All captions are name-free L2/L3… See the full description on the dataset page: https://huggingface.co/datasets/shibuina/drawvla-prompt-validation-clean.drawvla-prompt-validation
DrawVLA — Sketch-Prompt Validation
Circle (which) + arrow (where) + caption (what) visual instructions overlaid on
LIBERO observations, each labelled with a binary
verdict for training a prompt validator or a self-checking VLA:
right — every channel is correct and exactly one reading survives; execute.
wrong — a channel is incorrect or the deictic prompt remains under-determined;
reject. Formerly ambiguous prompts are retained in this class.
All captions are name-free L2/L3… See the full description on the dataset page: https://huggingface.co/datasets/shibuina/drawvla-prompt-validation.medical_records_parsing_validation_set
Medical Records Parsing Validation Set
Dataset Composition and Clinical Relevance
The Eka Medical Records Parsing Dataset empowers evaluation of AI systems designed to extract structured information from unstructured medical documents, enabling true digitisation of healthcare data while maintaining clinical accuracy.
The dataset comprise 288 carefully selected images of laboratory reports and prescriptions representing diverse formats and templates encountered in Indian… See the full description on the dataset page: https://huggingface.co/datasets/ekacare/medical_records_parsing_validation_set.