CoolFace
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composition

allenai /omega-compositional Compositional Math Problems This dataset combines all compositional mathematical problem settings in paper "OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization" with proper train/test splits. Each compositional setting includes training data from individual mathematical domains and test data consisting of compositional problems that require cross-domain reasoning. Quick Start from datasets import… See the full description on the dataset page: https://huggingface.co/datasets/allenai/omega-compositional.text10K<n<100K1 likes728 downloads1y agoHugging Facemehdidc /compositionalitytabular1M<n<10M5 likes625 downloads3y agoHugging Facegoodevening /composition Difficulty Split (Zero Context Medium) This dataset mirrors the local layout used in training: train/*.jsonl val_id/*.jsonl val_ood/*.jsonl Each JSONL row contains fields like problem, question, and solution (the latter includes an Answer: segment near the end). Load with datasets (streaming) from datasets import load_dataset repo = "goodevening/composition" train = load_dataset( "json", data_files={"train": f"hf://datasets/{repo}/train/*.jsonl"}… See the full description on the dataset page: https://huggingface.co/datasets/goodevening/composition.0 likes617 downloads1y agoHugging FaceNuBerea /composition-classificationsgated NuBerea Composition Classifications A curated reference set of scholarly-consensus composition history for the biblical corpus: the traditions behind the Old Testament, Deuterocanon, New Testament, and Old Testament Pseudepigrapha, and the source-critical relationships among them (e.g. Documentary Hypothesis strands, Markan priority, canonical collection, translation into the Septuagint). The dataset is a direct transcription of established scholarship — no machine learning or… See the full description on the dataset page: https://huggingface.co/datasets/NuBerea/composition-classifications.tabulartext-classificationn<1K0 likes415 downloads2mo agoHugging FaceInterplay-LM-Reasoning /composition On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models Charlie Zhang, Graham Neubig, Xiang Yue Carnegie Mellon University, Language Technologies Institute Does Reinforcement Learning Truly Extend Reasoning? This work explores the discrepancy in views on RL's effectiveness in extending language models' reasoning abilities. Some characterize RL as a capability refiner, while others see it as inducing new compositional skills. This challenge… See the full description on the dataset page: https://huggingface.co/datasets/Interplay-LM-Reasoning/composition.tabularquestion-answering100M<n<1B2 likes393 downloads8mo agoHugging Facerobot-learning-group47 /eval2_compositional_augmentedtabular100K<n<1M0 likes273 downloads4mo agoHugging Face