CoolFace
20 results

scotus

mdonigian /scotus-vocal-data Mimir: Supreme Court voice and vote data Mimir studies whether measurements of justices' speech during oral argument help predict their votes. Start with the evaluated model and its model card: Mimir vote predictor: the selected model, portable inference, final evaluation, coverage and limitations. Complete supporting model data: fitting data, separate final inputs and targets, candidate models, predictions, acoustic measurements, new word and diarization outputs, source… See the full description on the dataset page: https://huggingface.co/datasets/mdonigian/scotus-vocal-data.audion<1K0 likes991 downloads19d agoHugging Facest3re0 /scotus-opinionstabular10K<n<100K0 likes599 downloads2y agoHugging Facechowalex /scotus_opinions SCOTUS Opinions Collection of embeddings of SCOTUS opinions from argument years 1991 to 2024 (as of Jan 2025). Source material is available from the official SCOTUS web site. Data is generated using text-embedding-ada-002, with a chunk size of 2560 tokens and 256-token overlap. Usage To load the dataset into langchain VectorStore: vectorstore = SKLearnVectorStore( embedding=OpenAIEmbeddings(openai_api_key=api_key), persist_path=$PATH… See the full description on the dataset page: https://huggingface.co/datasets/chowalex/scotus_opinions.text10K<n<100K1 likes334 downloads2y agoHugging Facemmichall /SCOTUS-Dec Polish SCOTUS-Dec Polish SCOTUS-Dec is a long-document legal text classification dataset derived from the publicly available SCOTUS dataset. The dataset contains Polish translations of U.S. Supreme Court opinions. The task is a binary document classification problem in which the goal is to predict the ideological direction associated with the court decision: liberal or conservative. SCOTUS-Dec is part of the LongContext benchmark introduced with Polish ModernBERT.… See the full description on the dataset page: https://huggingface.co/datasets/mmichall/SCOTUS-Dec.texttext-classification1K<n<10K0 likes202 downloads24d agoHugging Facedatasets-CNRS /oral-arguments-scotus [!NOTE] Dataset origin: https://www.ortolang.fr/market/corpora/oral-arguments-scotus [!CAUTION] Vous devez vous rendre sur le site d'Ortholang et vous connecter afin de télécharger l'intégralité des données (seul un sous-échantillon est disponible dans ce répertoire). Description Ce corpus comprend 112 sessions d’oral arguments – une session correspondant à une affaire et de façon générale à deux oral arguments et parfois un rebuttal argument – s’étalant du 9 octobre 2018… See the full description on the dataset page: https://huggingface.co/datasets/datasets-CNRS/oral-arguments-scotus.0 likes185 downloads1y agoHugging Facemmichall /SCOTUS-Dom Polish SCOTUS-Dom Polish SCOTUS-Dom is a long-document legal text classification dataset derived from the publicly available SCOTUS dataset. The dataset contains Polish translations of U.S. Supreme Court opinions. The task is an 11-class document classification problem in which the goal is to predict the legal issue area of a court case. SCOTUS-Dom is part of the LongContext benchmark introduced with Polish ModernBERT. Dataset statistics Split Examples… See the full description on the dataset page: https://huggingface.co/datasets/mmichall/SCOTUS-Dom.texttext-classification1K<n<10K0 likes176 downloads24d agoHugging Face