datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ParseBench
ParseBench
Quick links: [🌐 Website] [📜 Paper] [💻 Code]
ParseBench is a benchmark for evaluating document parsing systems on real-world enterprise documents, with the following characteristics:
Multi-dimensional evaluation. The benchmark is stratified into five capability dimensions — tables, charts, content faithfulness, semantic formatting, and visual grounding — each with task-specific metrics designed to capture what agentic workflows depend on.
Real-world enterprise… See the full description on the dataset page: https://huggingface.co/datasets/llamaindex/ParseBench.ExtractBench
ExtractBench
Quick links: [🌐 Website] [📜 Paper] [💻 Code]
Given a document and a schema, a system returns structured data with evidence. The input is a full document, born-digital or scanned, and a schema written by the user. The output is a schema-valid JSON object, with the source page and a bounding box for each value as evidence. It must return correct, exhaustive values (including repeated records), correctly use null for absent information, and ground each extracted… See the full description on the dataset page: https://huggingface.co/datasets/llamaindex/ExtractBench.Llama4_SFTlaion-pop-llama3.2-11b
Dataset Card for laion-pop-llama3.2-11b
Dataset Summary
This is 1,580,595 new synthetic captions for the images found in laion/laion-pop. The dataset was restricted to SFW-only images by filtering out every image with a nsfw_prediction greater than or equal to 0.995. The long captions were produced using meta-llama/Llama-3.2-11B-Vision-Instruct. Medium and short captions were produced from these captions using meta-llama/Llama-3.1-8B-Instruct The dataset was grounded for… See the full description on the dataset page: https://huggingface.co/datasets/CaptionEmporium/laion-pop-llama3.2-11b.