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01arterm-sedov /agent-course-final-assignment Agent Course Final Assignment - Unified Dataset Author: Arte(r)m Sedov GitHub: https://github.com/arterm-sedov/ Project link: https://huggingface.co/spaces/arterm-sedov/agent-course-final-assignment Dataset Description This dataset is produced by the GAIA Unit 4 Agent for the Hugging Face Agents Course final assignment as part of an experimental multi-LLM agent system that demonstrates advanced AI agent capabilities. It demonstrates advanced AI agent capabilities for… See the full description on the dataset page: https://huggingface.co/datasets/arterm-sedov/agent-course-final-assignment.tabularn<1K1 likes3.2k downloads9mo agoHugging Face02CoolCoder44 /NLP_Assignment_1text10M<n<100M0 likes529 downloads2y agoHugging Face03avr4 /Assignment3tabular10M<n<100M0 likes327 downloads2y agoHugging Face04KashiwaByte /DISC-Assignment本仓库包含如下内容: 1.报告 2.训练代码 3.测试结果 4.指令构造数据集 5.任务书 报告是ACL2023格式的PDF文件Reading_Comprehension_LLM 训练代码在Finetune文件中,详细信息可看文件夹中的README。 指令数据集构造代码与最终数据集在Dataset文件中,详细信息可看文件夹中的README。 实验代码与实验结果在Experiment文件中,详细信息可看文件夹中的README。 任务书即DISC-Assignment,包含实验的指导与具体要求。 1 likes278 downloads2y agoHugging Face05intellign /adaption-resource-assignment-configs This dataset is a remastered version prepared using Adaption's Adaptive Data platform. adaption-resource_assignment_configs This dataset contains pairs of natural language resource allocation problems and their corresponding JSON configuration outputs. Each sample defines constraints such as categorical matching, spatial proximity, capacity limits, or priority scoring based on provided data schemas. The configurations specify goals with weights, award types, and logic… See the full description on the dataset page: https://huggingface.co/datasets/intellign/adaption-resource-assignment-configs.10K<n<100K0 likes246 downloads2mo agoHugging Face06VietAI /spoken_norm_assignment VietAI assignment: Vietnamese Inverse Text Normalization dataset Dataset Description Inverse text normalization (ITN) is the task that transforms spoken to written styles. It is particularly useful in automatic speech recognition (ASR) systems where proper names are often miss-recognized by their pronunciations instead of the written forms. By applying ITN, we can improve the readability of the ASR system’s output significantly. This dataset provides data for doing ITN… See the full description on the dataset page: https://huggingface.co/datasets/VietAI/spoken_norm_assignment.text100K<n<1M12 likes204 downloads4y agoHugging Face07emunah /deductive_logical_reasoning-room_assignmenttexttable-question-answering10K<n<100K2 likes149 downloads9mo agoHugging Face08Changyeli03 /PKU_NLPDL_Assignment1document10K<n<100K0 likes99 downloads2y agoHugging Face09exawken /edan20-assignment2-selma-ngramstext1M<n<10M0 likes64 downloads5d agoHugging Face10Looong /DMT_Assignment_20 likes59 downloads2y agoHugging Face11UTSYYY /AAI_assignment2text1K<n<10K0 likes59 downloads15d agoHugging Face12SaeedLab /dom-formula-assignment-data DOM Formula Assignment Dataset Training and Testing Data for A Machine Learning and Benchmarking Approach for Molecular Formula Assignment of Ultra High-Resolution Mass Spectrometry Data from Complex Mixtures Paper: Under review Abstract A machine learning approach to molecular formula assignment is crucial for unlocking the full potential of ultra-high resolution mass spectrometry (UHRMS) when analyzing complex mixtures. By combining data-driven models with… See the full description on the dataset page: https://huggingface.co/datasets/SaeedLab/dom-formula-assignment-data.textothern<1K0 likes54 downloads7mo agoHugging Face13maigurski /maigurski-customer-personality-assignment1 Customer Personality Analysis – EDA Results 1. Project Goal The goal of this project is to use numeric-focused Exploratory Data Analysis (EDA) on the Customer Personality Analysis dataset to understand: Which customer characteristics are associated with higher spending. How these characteristics differ between customers who responded to the last marketing campaign and those who did not. The main outcome variable is: Response (0 = no, 1 = yes) – did the customer respond… See the full description on the dataset page: https://huggingface.co/datasets/maigurski/maigurski-customer-personality-assignment1.imagen<1K0 likes53 downloads10mo agoHugging Face14jo-chen /task-assignment-rollouts0 likes53 downloads2mo agoHugging Face15advsp /maigurski-customer-personality-assignment1 Customer Personality Analysis – EDA Results 1. Project Goal The goal of this project is to use numeric-focused Exploratory Data Analysis (EDA) on the Customer Personality Analysis dataset to understand: Which customer characteristics are associated with higher spending. How these characteristics differ between customers who responded to the last marketing campaign and those who did not. The main outcome variable is: Response (0 = no, 1 = yes) – did the customer… See the full description on the dataset page: https://huggingface.co/datasets/advsp/maigurski-customer-personality-assignment1.imagen<1K0 likes53 downloads2mo agoHugging Face16blackbird0831 /slm-assignment-data Grade-Level Vocabulary-Locked Writing Tutor — Dataset Training and evaluation data for fine-tuning a small open model (Qwen3-0.6B) into a grade 7–8 writing/grammar tutor whose vocabulary and sentence complexity stay locked to the band — it introduces at most one word above grade level per reply (always immediately defined) and never escalates, even under pressure ("use bigger words", "give me the college version") or jailbreak-style attacks. The dataset is the deliverable. ~80%… See the full description on the dataset page: https://huggingface.co/datasets/blackbird0831/slm-assignment-data.texttext-generation1K<n<10K0 likes50 downloads2mo agoHugging Face17Austinyu7 /selma-ngrams-assignment2 Selma Lagerlof n-gram counts This dataset was produced for Language Technology Assignment 2 from the course's Swedish Selma Lagerlof corpus. Each JSONL row has an ngram string array and its integer count. The three configurations expose unigram, bigram, and trigram counts respectively. The files were generated by 2-language_models.ipynb using Unicode-aware tokenization and explicit <s> / </s> sentence markers. text1M<n<10M0 likes46 downloads6d agoHugging Face18sambhavaggarwal101 /Assignment-1-Indexertext10K<n<100K0 likes46 downloads4d agoHugging Face19Sristtee /Assignment_3 Green Patent Detection: Multi-Agent HITL + PatentSBERTa This repository contains an advanced green patent detection workflow built for binary classification of patent claims into: 1 = Green / climate mitigation related 0 = Non-green The project extends a baseline PatentSBERTa workflow by adding a Human-in-the-Loop (HITL) review stage and a multi-agent debate system before final fine-tuning. Project overview The goal of this project is to improve green patent… See the full description on the dataset page: https://huggingface.co/datasets/Sristtee/Assignment_3.tabular10K<n<100K0 likes45 downloads7mo agoHugging Face20exawken /edan20-assignment1-index-selma-novels0 likes44 downloads4d agoHugging Face21joh-benn /assignment-movie-posters Movie Posters Audio Text Data Notes Dataset summary A documented Movie Posters data-preparation workflow for Audio Text records. The bundled rows demonstrate the schema and validation path rather than pretending to be a full training corpus. Included material dataloader.py — loading, cleaning, and split preparation code. dataset_infos.json — schema and split metadata. metadata_sample.jsonl — small, human-readable records for checking the schema.… See the full description on the dataset page: https://huggingface.co/datasets/joh-benn/assignment-movie-posters.0 likes42 downloads27d agoHugging Face22Sebastian-Mazibuko /Assignment1-Sprakteknologitext10K<n<100K0 likes40 downloads7d agoHugging Face23unibz-ds-course /audio_assignmentaudio1K<n<10K0 likes39 downloads2y agoHugging Face24darrenten /assignment-document-ocr40 Document OCR Sensor Fusion Data Notes Dataset summary This data card accompanies a lightweight Document OCR loader for Sensor Fusion metadata. It is meant for pipeline inspection, source adaptation, and reproducible split preparation. Included material prepare.py — loading, cleaning, and split preparation code. dataset_infos.json — schema and split metadata. metadata_sample.jsonl — small, human-readable records for checking the schema. README.md —… See the full description on the dataset page: https://huggingface.co/datasets/darrenten/assignment-document-ocr40.0 likes39 downloads26d agoHugging Face25jfridh /Assignment1text10K<n<100K0 likes39 downloads14d agoHugging Face26lkmill /edan20-assignment1text10K<n<100K1 likes39 downloads3d agoHugging Face27moagas /EDAN20_Assignment1text10K<n<100K0 likes38 downloads11d agoHugging Face28CTB2001 /Assignment_3_Dataset Assignment 3 Dataset — QLoRA/HITL Artifacts for Green Patent Detection Dataset Summary This repository contains the Assignment 3 data artifacts used and produced in the advanced QLoRA workflow for green patent detection, including: top-100 uncertainty-selected claims QLoRA reviewed outputs final gold labels Part C logs/summaries required by the assignment Transparency Note on HITL Agreement Reporting In this Assignment 3 run, i did not manually review and… See the full description on the dataset page: https://huggingface.co/datasets/CTB2001/Assignment_3_Dataset.texttext-classificationn<1K0 likes37 downloads7mo agoHugging Face29ashishnan /assignment-comics Comics Pointcloud Text Data Notes Dataset summary This data card accompanies a lightweight Comics loader for Pointcloud Text metadata. It is meant for pipeline inspection, source adaptation, and reproducible split preparation. Included material dataset.py — loading, cleaning, and split preparation code. dataset_infos.json — schema and split metadata. metadata_sample.jsonl — small, human-readable records for checking the schema. README.md — data… See the full description on the dataset page: https://huggingface.co/datasets/ashishnan/assignment-comics.0 likes37 downloads20d agoHugging Face30ffernandezalejandro /assignment-geology Geology Audio Text Data Notes Dataset summary This repository contains a preparation pipeline and a small metadata sample for Geology work with Audio Text inputs. It does not claim to be a complete benchmark release; the loader documents how source data is normalized and validated. Included material loader.py — loading, cleaning, and split preparation code. dataset_infos.json — schema and split metadata. metadata_sample.jsonl — small… See the full description on the dataset page: https://huggingface.co/datasets/ffernandezalejandro/assignment-geology.0 likes36 downloads27d agoHugging Face

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