CoolFace
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riddles

jeggers /riddle_sensetext1K<n<10K1 likes127k downloads2y agoHugging FaceHypersniper /riddles_v1 Riddle Processing with GPT-4 Buy me Ko-fi Credits All credit for the original riddles goes to crawsome's GitHub repository. Project Overview This project involves processing each riddle using GPT-4. The correct answers were provided to the model to generate a desirable output focused on reasoning and logical breakdown. riddles.json (riddles_1) — 386 samples, sourced from crawsome's GitHub repository. riddles_2.json — 83 samples, sourced from various Google… See the full description on the dataset page: https://huggingface.co/datasets/Hypersniper/riddles_v1.textn<1K18 likes3.2k downloads3y agoHugging FaceINK-USC /riddle_senseAnswering such a riddle-style question is a challenging cognitive process, in that it requires complex commonsense reasoning abilities, an understanding of figurative language, and counterfactual reasoning skills, which are all important abilities for advanced natural language understanding (NLU). However, there is currently no dedicated datasets aiming to test these abilities. Herein, we present RiddleSense, a new multiple-choice question answering task, which comes with the first large dataset (5.7k examples) for answering riddle-style commonsense questions. We systematically evaluate a wide range of models over the challenge, and point out that there is a large gap between the best-supervised model and human performance — suggesting intriguing future research in the direction of higher-order commonsense reasoning and linguistic creativity towards building advanced NLU systems.question-answering1K<n<10K27 likes1.8k downloads3y agoHugging FaceD4ve-R /riddles-qa Riddles QA This dataset contains 500 riddles and their answers. Credits The riddles were downloaded from https://github.com/nkilm/riddles-api textquestion-answeringn<1K0 likes1.7k downloads2y agoHugging Facesam749 /riddles-dedupedtextn<1K0 likes1.4k downloads2y agoHugging Facepszemraj /riddlesense_plusplus RiddleSense ++: Evaluating LLMs' Riddling abilities Some cleaning and other modifications to make the riddle_sense dataset more suitable for training language models to generate riddles via standard text generation Notable changes reformatting to use special tags indicating the question and answer components normalization: whitespace normalization, etc with clean-text spell correction the original dataset has numerous spelling errors; these are fixed using BertChecker… See the full description on the dataset page: https://huggingface.co/datasets/pszemraj/riddlesense_plusplus.text1K<n<10K3 likes1.3k downloads9mo agoHugging Face