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01rusheeliyer /german-courts Dataset Card for Dataset Name This dataset card aims to be a base template for new datasets. It has been generated using this raw template. Dataset Details Dataset Description Curated by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Language(s) (NLP): [More Information Needed] License: [More Information Needed] Dataset Sources [optional] Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/rusheeliyer/german-courts.text1K<n<10K1 likes348 downloads3y agoHugging Face02roslein /EU_Court_Human_Rights_Decisions European Court of Human Rights Decisions Dataset This dataset contains 9,820 decisions from the European Court of Human Rights (ECHR) scraped from HUDOC, the official database of ECHR case law. Data Usage This dataset is valuable for: Building legal vector databases for RAG (Retrieval Augmented Generation) Training Large Language Models focused on human rights law Creating synthetic legal datasets Legal text analysis and research NLP tasks in international human rights… See the full description on the dataset page: https://huggingface.co/datasets/roslein/EU_Court_Human_Rights_Decisions.text1K<n<10K1 likes94 downloads2y agoHugging Face03ibunescu /court_opinions_filtered_under_25ktabular1K<n<10K0 likes73 downloads3y agoHugging Face04ibunescu /court_opinions_filtered_full_sizetabular1K<n<10K0 likes55 downloads3y agoHugging Face05rishiai /indian-court-judgements-and-its-summariestext1K<n<10K2 likes47 downloads3y agoHugging Face06roslein /CZE_constitutional_court_decisions Czech Constitutional Court Decisions Dataset This dataset contains decisions from the Constitutional Court of the Czech Republic scraped from NALUS, the official database of Constitutional Court decisions. Data Usage This dataset can be utilized for: Training language models on legal texts Creating synthetic legal datasets Building vector databases for Retrieval Augmented Generation (RAG) Legal text analysis and research NLP tasks focused on Czech legal domain… See the full description on the dataset page: https://huggingface.co/datasets/roslein/CZE_constitutional_court_decisions.text100K<n<1M0 likes38 downloads1y agoHugging Face07AccountVerify /EU_Court_Human_Rights_Decisions European Court of Human Rights Decisions Dataset This dataset contains 9,820 decisions from the European Court of Human Rights (ECHR) scraped from HUDOC, the official database of ECHR case law. Data Usage This dataset is valuable for: Building legal vector databases for RAG (Retrieval Augmented Generation) Training Large Language Models focused on human rights law Creating synthetic legal datasets Legal text analysis and research NLP tasks in international human… See the full description on the dataset page: https://huggingface.co/datasets/AccountVerify/EU_Court_Human_Rights_Decisions.text1K<n<10K0 likes38 downloads9d agoHugging Face08LavanyaPobbathi /lamus-roberts-court-legal-arguments LAMUS: Roberts Court Legal Arguments (2005-2025) The Current Supreme Court Era - Chief Justice John Roberts 📋 Dataset Description This dataset contains 362,891 sentences from U.S. Supreme Court opinions during the Roberts Court era (2005-2025), automatically labeled with legal argument categories. This represents the current Supreme Court under Chief Justice John G. Roberts Jr. Why Roberts Court? The Roberts Court is particularly significant for… See the full description on the dataset page: https://huggingface.co/datasets/LavanyaPobbathi/lamus-roberts-court-legal-arguments.tabulartext-classification100K<n<1M2 likes31 downloads8mo agoHugging Face09roslein /CZE_Supreme_Court_Decision Czech Supreme Court Decisions Dataset This dataset contains decisions from the Supreme Court of the Czech Republic scraped from their official collection database. Data Usage This dataset is ideal for: Building legal vector databases for RAG (Retrieval Augmented Generation) Training language models on Czech civil and criminal law Creating synthetic legal datasets Legal text analysis and research NLP tasks focused on Czech judicial domain Legal Status The… See the full description on the dataset page: https://huggingface.co/datasets/roslein/CZE_Supreme_Court_Decision.text1K<n<10K0 likes26 downloads1y agoHugging Face10rrhagentbiz /us-public-tennis-courts US Public Tennis Courts — 4,298 Locations Across 17 Metros (2026) Geocoded public tennis court locations for 17 major US metros (Austin, Dallas-Fort Worth, Denver, Fort Lauderdale, Houston, Los Angeles, Miami, Orange County, Phoenix, Portland, San Diego, San Francisco, San Jose, Seattle, Tampa, Washington DC, West Palm Beach): 4,298 locations with latitude/longitude, court counts (11,527 individual courts where counted), lighting, practice walls, and surface where known. Derived… See the full description on the dataset page: https://huggingface.co/datasets/rrhagentbiz/us-public-tennis-courts.tabular1K<n<10K0 likes26 downloads2mo agoHugging Face11Narenameme /indian_supreme_court_judgements_en_ta Indian Supreme Court Judgements Dataset (Sentence-Level, Translated to Tamil) Overview This dataset contains Indian Supreme Court judgements that have been split into sentences and translated into Tamil. The original judgements were sourced from the Indian Kanoon website. The dataset is useful for legal text processing, multilingual NLP tasks, and cross-lingual legal studies. Data Processing Pipeline Sentence Splitting: Used pySBD (Python Sentence Boundary… See the full description on the dataset page: https://huggingface.co/datasets/Narenameme/indian_supreme_court_judgements_en_ta.tabular1M<n<10M2 likes23 downloads2y agoHugging Face12roslein /CZE_supreme_administrative_court_decisions Czech Supreme Administrative Court Decisions Dataset This dataset contains decisions from the Supreme Administrative Court of the Czech Republic scraped from their official search interface. Data Usage This dataset can be utilized for: Training language models on administrative law texts Creating synthetic legal datasets Building vector databases for Retrieval Augmented Generation (RAG) Administrative law text analysis and research NLP tasks focused on Czech… See the full description on the dataset page: https://huggingface.co/datasets/roslein/CZE_supreme_administrative_court_decisions.text1K<n<10K0 likes22 downloads1y agoHugging Face13projetomemoreba /mteb_brazilian_court_decisionstabular1K<n<10K1 likes21 downloads3y agoHugging Face14mrhewbuc /brazilian_court_civil_decisionstextn<1K3 likes18 downloads3y agoHugging Face15cristian-scobioala /greek-supreme-court-decisionstabular1K<n<10K0 likes14 downloads1y agoHugging Face16ClarusC64 /legal-court-bundle-exhibit-index-pagination-coherence-risk-v0.1What this dataset does You receive bundle index exhibit list pagination plan actual contents missing flags duplicate flags You decide coherent or incoherent Daily use bundle QC before filing missing exhibit detection pagination mismatch detection tabulartext-classificationn<1K0 likes14 downloads7mo agoHugging Face17mayur456 /court_data_RAG_unsuptabularn<1K0 likes13 downloads3y agoHugging Face18kebbbnnn /bot-courteous-interactionsThis dataset contains a collection of variations in polite and courteous responses generated by a conversational AI. This dataset is designed to enhance natural language understanding and generation models, focusing on responses that convey gratitude, appreciation, and helpfulness. Each entry in the dataset pairs a user input with multiple variations of a polite, appreciative response, aiming to enrich conversational models with diverse ways of expressing politeness and support. text1K<n<10K0 likes11 downloads2y agoHugging Face19liechticonsulting /analysed_court_rulingstext1K<n<10K0 likes11 downloads1y agoHugging Face20HaninZ /janaab_supreme-court-speech_test_embeddingstext1K<n<10K0 likes10 downloads2y agoHugging Face21ClarusC64 /legal-court-fees-coherence-distortion-v0.1What this dataset is You receive fee amount waiver rule claimant means profile drop off and default pattern admin friction reform signals You decide Do fees distort access to adjudication Answer coherent or incoherent Why this matters Fee distortion predicts pro se collapse default growth forced settlement trust erosion tabulartext-classificationn<1K0 likes7 downloads7mo agoHugging Face22Mynac /court-booking-datatabular1K<n<10K0 likes4 downloads2y agoHugging Face23hema-lost-shine /indian-court-judgements-and-its-summariestext1K<n<10K0 likes3 downloads7mo agoHugging Face

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