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yyyzzzzyyy /envss0 likes166k downloads1y agoHugging Faceylacombe /cml-tts Dataset Card for CML-TTS Dataset Summary CML-TTS is a recursive acronym for CML-Multi-Lingual-TTS, a Text-to-Speech (TTS) dataset developed at the Center of Excellence in Artificial Intelligence (CEIA) of the Federal University of Goias (UFG). CML-TTS is a dataset comprising audiobooks sourced from the public domain books of Project Gutenberg, read by volunteers from the LibriVox project. The dataset includes recordings in Dutch, German, French, Italian, Polish… See the full description on the dataset page: https://huggingface.co/datasets/ylacombe/cml-tts.audiotext-to-speech1M<n<10M36 likes119k downloads3y agoHugging Faceybisk /piqaTo apply eyeshadow without a brush, should I use a cotton swab or a toothpick? Questions requiring this kind of physical commonsense pose a challenge to state-of-the-art natural language understanding systems. The PIQA dataset introduces the task of physical commonsense reasoning and a corresponding benchmark dataset Physical Interaction: Question Answering or PIQA. Physical commonsense knowledge is a major challenge on the road to true AI-completeness, including robots that interact with the world and understand natural language. PIQA focuses on everyday situations with a preference for atypical solutions. The dataset is inspired by instructables.com, which provides users with instructions on how to build, craft, bake, or manipulate objects using everyday materials. The underlying task is formualted as multiple choice question answering: given a question `q` and two possible solutions `s1`, `s2`, a model or a human must choose the most appropriate solution, of which exactly one is correct. The dataset is further cleaned of basic artifacts using the AFLite algorithm which is an improvement of adversarial filtering. The dataset contains 16,000 examples for training, 2,000 for development and 3,000 for testing.question-answering10K<n<100K107 likes118k downloads3y agoHugging Facedefeatbeta /yahoo-finance-data The Financial data from Yahoo! *** Key Points to Note *** All financial data is sourced from Yahoo!Ⓡ Finance, Nasdaq!Ⓡ, and the U.S. Department of the Treasury via publicly available APIs, and is intended for research and educational purposes. I will update the data regularly, and you are welcome to follow this project and use the data. Each time the data is updated, I will record the update time in spec.json. Data Usage Instructions Use DuckDB… See the full description on the dataset page: https://huggingface.co/datasets/defeatbeta/yahoo-finance-data.100M<n<1B127 likes112k downloads3d agoHugging FaceYWZBrandon /webshop-data4 likes95k downloads1y agoHugging FaceYipengGao /3DCode Project page Paper Code 3dcodebench.com arXiv:2606.01057 gaoypeng/3dcodebench News [06/01/2026] Paper released on arXiv: 3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code. Note. This is an open-source reproduction of 3DCodeBench. ⚠️ Under final check. The 3DCodeData/ code is still undergoing final quality review and may contain occasional issues (non-executable scripts, mismatched captions/renders, or imperfect geometry). If you run… See the full description on the dataset page: https://huggingface.co/datasets/YipengGao/3DCode.3dtext-to-3d10K<n<100K25 likes88k downloads4d agoHugging Face