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haystack

AmazonScience /document-haystack Document Haystack Dataset This repository contains the dataset for the paper “Document Haystack: A Long Context Multimodal Image/Document Understanding Vision LLM Benchmark”. 📑 Abstract Paper The proliferation of multimodal Large Language Models has significantly advanced the ability to analyze and understand complex data inputs from different modalities. However, the processing of long documents remains under-explored, largely due to a lack of suitable benchmarks. To… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/document-haystack.textquestion-answering20 likes89k downloads1y agoHugging FaceVoxel51 /document-haystack-10pages Dataset Card for document-haystack-10pages This is a FiftyOne dataset with 250 samples. It's the 10-page subset of the full dataset. Installation If you haven't already, install FiftyOne: pip install -U fiftyone Usage import fiftyone as fo from fiftyone.utils.huggingface import load_from_hub # Load the dataset # Note: other available arguments include 'max_samples', etc dataset = load_from_hub("Voxel51/document-haystack-10pages") # Launch the App… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/document-haystack-10pages.imageimage-classificationn<1K1 likes1.4k downloads11mo agoHugging FaceGraph-COM /HaystackCraft@article{li2025haystack, title={Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation}, author={Mufei Li and Dongqi Fu and Limei Wang and Si Zhang and Hanqing Zeng and Kaan Sancak and Ruizhong Qiu and Haoyu Wang and Xiaoxin He and Xavier Bresson and Yinglong Xia and Chonglin Sun and Pan Li}, journal={arXiv preprint arXiv:2510.07414}, year={2025} } 0 likes1k downloads11mo agoHugging Facenz00shuuuu /ltaf-haystack-fixedtabular10K<n<100K0 likes419 downloads5mo agoHugging Facenz00shuuuu /capture24-ts-haystack-cottext10K<n<100K2 likes401 downloads6mo agoHugging Facenz00shuuuu /uk-dale-haystack UK-DALE-Haystack A controlled additive-needle benchmark for long-context time-series language models built on top of UK-DALE (Kelly & Knottenbelt, 2015), the canonical UK domestic appliance-level + whole-house power demand dataset. Each sample is a 6-second-sampled mains active-power trace with one or more real per-appliance bouts inserted at known locations. A QA prompt asks the model to detect, count, localize, order, or reason about those bouts across five context lengths from 15… See the full description on the dataset page: https://huggingface.co/datasets/nz00shuuuu/uk-dale-haystack.tabularquestion-answering10K<n<100K0 likes356 downloads5mo agoHugging Face