Ripple
Datasets
All datasets matching “Ripple”CryptoLM-Ripple-XRP-USDT
XRP Price Dataset with Technical Indicators
Welcome to the XRP / USDT Price Dataset with Technical Indicators, hosted by the WinkingFace Team. This dataset is designed to provide comprehensive historical data on XRP prices along with a variety of technical indicators to aid in cryptocurrency trading analysis and research. The dataset is updated every 3 minutes (delayed 1 minute).
Dataset Description
This dataset includes the following columns:
timestamp: The date and… See the full description on the dataset page: https://huggingface.co/datasets/WinkingFace/CryptoLM-Ripple-XRP-USDT.iReasonPaper: Hidden in Plain Sight: Probing Implicit Reasoning in Multimodal Language Models
Paper: https://arxiv.org/abs/2506.00258
Website: https://jackie-2000.github.io/iReason.github.io/
GitHub: https://github.com/eric-ai-lab/iReason
iReason: Designed to probe MLLMs’ implicit reasoning by evaluating their ability to detect subtle flaws in seemingly valid instructions. Covers 643 real-world scenarios spanning four failure types—object absence, ambiguity, contradiction, and… See the full description on the dataset page: https://huggingface.co/datasets/rippleripple/iReason.Ripple_effects_of_prizewinning_across_knowledge_space_and_collaboration_networksProbMedPaper: Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA
Website: https://jackie-2000.github.io/probmed.github.io/
ProbMed: Created to rigorously evaluate LMMs’ readiness for real-life diagnostic tasks, particularly under adversarial conditions with a total of 57,132 question-answer pairs, averaging 9 pairs per image. Includes a diverse set of high-quality questions for each image, covering various diagnostic dimensions.
Related files: QA… See the full description on the dataset page: https://huggingface.co/datasets/rippleripple/ProbMed.MMIRPaper: Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models
Paper: https://arxiv.org/pdf/2502.16033
Website: https://jackie-2000.github.io/mmir.github.io/
MMIR: Specifically built to rigorously test MLLMs’ ability to detect real-world cross-modal inconsistencies. Contains 534 carefully curated samples, each injecting a single semantic mismatch across 5 error categories. It spans webpages, slides, and posters with diverse layouts, challenging models to… See the full description on the dataset page: https://huggingface.co/datasets/rippleripple/MMIR.Controlled-RippleEdit
Dataset Card for Dataset Name
This is a synthetic dataset that centers around entities and relationships that the model is familiar with. This allow a focused evaluation of model’s knowledge propagation ability.
This is the dataset used for paper PropMEND: Hypernetworks for Knowledge Propagation in LLMs.
Dataset Details
Dataset Description
Curated by: Zeyu Leo Liu, Greg Durrett, Enunsol Choi
Language(s) (NLP): English
License: MIT
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/leo-liuzy/Controlled-RippleEdit.