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26 results for “Minecraft”
Datasets of "Terrain-adaptive PCGML in Minecraft"
<p>Datasets of Minecraft world samples created and used for the paper <em>Terrain-adaptive PCGML in Minecraft</em> by Van der Staaij et al., as well as all uncompressed renders made to qualitatively evaluate trained machine learning models for said paper.</p>
Minecraft Systematic Review Dataset
<p>The document is a structured spreadsheet containing data from a systematic literature review on the use of Minecraft in education. It includes various sheets detailing study metadata, such as author information, publication year, journal impact, research methodologies, educational contexts (formal, non-formal), learning theories applied, and in-game mechanics used (e.g., building, exploration, programming). The <em>syntax</em> sheet outlines search strategies in academic databases like Web of Science and Scopus, while <em>fields</em> explains variable terms.</p>
Construction-Planning Models in Minecraft
<p>Collection of benchmarks for the Minecraft House Construction scenario. </p> <p>Publication: Construction-Planning Models in Minecraft. Julia Wichlacz, Alvaro Torralba, Joerg Hoffmann, Hierarchical Planning Workshop at ICAPS 2019.</p>
MINECRAFT WALDER
SHOULD BE IN MINECRAFT VERY GOOD IDEA! LOL SUBSCRIBE TO SERBAN JUNIOR BRUMAR ON YOUTUBE ! Source: Objaverse 1.0 / Sketchfab
MINECRAFT's chest
One of the most popular games since 2012, and one of the most important items there. https://en.wikipedia.org/wiki/Minecraft Source: Objaverse 1.0 / Sketchfab
Nineveh: Minecraft
This is a Minecraft build of the Nergal Gate of the old Assyrian capital of Nineveh. It was built, together with many volunteers, during an event organized by the Prince Claus Fund and the Value Foundation at the Dutch National Museum of Antiquities. For more info and to download the Minecraft map containing this build, visit the [VALUE Foundation website](https://value-foundation.org/nineveh-minecraft/). Source: Objaverse 1.0 / Sketchfab
Minecraft roman pillar
this is my first 3d model please download it and comment down below if you like it or not and if you have any advice on 3d modeling please fell free to share it. Thank you for downloading my 3d model yours truly, bumbty Source: Objaverse 1.0 / Sketchfab
Minecraft_QA-pairs_Instruction_Dataset
<h2>Overview</h2> <p>This repository contains a dataset designed for training large language models (LLMs) to handle a variety of questions related to Minecraft. Our dataset includes over 390,000 instruction entries generated using an LLM-assisted method. The dataset is designed to provide high-quality, diverse Q&A pairs, which are essential for effective model training.</p> <h2>Dataset Generation</h2> <h3>Data Collection and Cleaning</h3> <p>We utilized two primary sources of information:</p> <ol> <li><strong>Minecraft Fandom Wiki</strong> (<a href="https://minecraft.fandom.com/wiki/Minecraft_Wiki" rel="nofollow">https://minecraft.fandom.com/wiki/Minecraft_Wiki</a>)</li> <li><strong>Minecraft Wiki</strong> (<a href="https://minecraft.wiki/" rel="nofollow">https://minecraft.wiki/</a>)</li> </ol> <p>For both sources, we performed extensive data cleaning to remove irrelevant sections, such as game version information, achievements, advancements, and history. The remaining content was extracted and stored in text (TXT) and markdown (MD) files, ensuring that only useful text and table content were retained.</p> <h3>Q&A Pair Generation</h3> <p>Based on the cleaned data, we employed GPT-3.5-Turbo~\citep{chatgpt} with customized prompts to automatically generate diverse Q&A pairs. These pairs are categorized into four types:</p> <ol> <li><strong>Short Answer Q&A</strong>: Questions that can be directly answered with a word or phrase.</li> <li><strong>Long Answer Q&A</strong>: Questions that require one or more complete sentences for a comprehensive response.</li> <li><strong>Boolean Answer Q&A</strong>: Questions that can be answered with a simple True or False.</li> <li><strong>Normal Answer Q&A</strong>: General Q&A pairs with no specific form restrictions, ensuring the dataset's comprehensiveness.</li> </ol>
Minecraft MCQ Datasets
<h1>Minecraft MCQ Datasets</h1> <h2><a href="https://huggingface.co/datasets/Aiwensile2/Minecraft_MCQ_Datasets#overview" rel="nofollow"></a>Overview</h2> <p>This repository contains two high-quality evaluation datasets for assessing the domain-specific expertise of models within the context of Minecraft. Due to the open-ended nature of questions in Minecraft, conventional evaluation metrics and common benchmarks may not be fully suitable. To address this, we created two Multiple-Choice Question (MCQ) datasets using GPT-4, focusing on different themes and keywords related to Minecraft.</p> <h2><a href="https://huggingface.co/datasets/Aiwensile2/Minecraft_MCQ_Datasets#datasets" rel="nofollow"></a>Datasets</h2> <h3><a href="https://huggingface.co/datasets/Aiwensile2/Minecraft_MCQ_Datasets#1-multi-theme-mcq-dataset" rel="nofollow"></a>1. Multi-Theme MCQ Dataset</h3> <p>This dataset covers various content themes related to the game Minecraft. It includes 1,050 multiple-choice questions, carefully designed to test a wide range of Minecraft knowledge. The following themes are covered:</p> <ul> <li><strong>Game Basics:</strong> Blocks and items, survival mechanics, etc.</li> <li><strong>World Exploration:</strong> Biomes, terrain and landforms, etc.</li> <li><strong>Mobs and Interactions:</strong> Characteristics of mobs, combat system, trading, and villagers.</li> <li><strong>Survival Skills:</strong> Resource gathering, crafting and production, farming, and animal husbandry.</li> <li><strong>Building and Creativity:</strong> Building styles, techniques, interior decoration, and Redstone mechanics.</li> <li><strong>Special Dimensions:</strong> The Nether, The End, adventure, and exploration.</li> </ul> <h3><a href="https://huggingface.co/datasets/Aiwensile2/Minecraft_MCQ_Datasets#2-wiki-based-mcq-dataset" rel="nofollow"></a>2. Wiki-Based MCQ Dataset</h3> <p>This dataset is derived from the information available on Minecraft Wiki pages, designed to align closely with documented in-game knowledge. This dataset contains 2,083 multiple-choice questions based on 615 Minecraft-related keywords, ensuring depth and coverage of Minecraft-related trivia.</p> <h2><a href="https://huggingface.co/datasets/Aiwensile2/Minecraft_MCQ_Datasets#dataset-generation-process" rel="nofollow"></a>Dataset Generation Process</h2> <h3><a href="https://huggingface.co/datasets/Aiwensile2/Minecraft_MCQ_Datasets#multi-theme-mcq-dataset" rel="nofollow"></a>Multi-Theme MCQ Dataset</h3> <ol> <li><strong>Summarization:</strong> Summarize key themes within Minecraft.</li> <li><strong>Keyword Listing:</strong> Identify relevant keywords for each theme.</li> <li><strong>Question Generation:</strong> Use GPT-4 to generate questions based on these keywords, ensuring a balanced distribution of difficulty levels (easy, medium, hard).</li> </ol> <h3><a href="https://huggingface.co/datasets/Aiwensile2/Minecraft_MCQ_Datasets#wiki-based-mcq-dataset" rel="nofollow"></a>Wiki-Based MCQ Dataset</h3> <ol> <li><strong>Keyword Identification:</strong> List important Minecraft-related keywords.</li> <li><strong>Question Generation:</strong> Use GPT-4 to generate questions based on these keywords and the information on corresponding Minecraft Wiki pages, ensuring the objectivity and accuracy of the MCQs.</li> </ol> <h2><a href="https://huggingface.co/datasets/Aiwensile2/Minecraft_MCQ_Datasets#usage" rel="nofollow"></a>Usage</h2> <p>To utilize the datasets, download the corresponding files from this repository. Each dataset is provided in multiple-choice question format with clearly defined difficulty levels and themes/keywords.</p> <h2><a href="https://huggingface.co/datasets/Aiwensile2/Minecraft_MCQ_Datasets#details" rel="nofollow"></a>Details</h2> <h3><a href="https://huggingface.co/datasets/Aiwensile2/Minecraft_MCQ_Datasets#license" rel="nofollow"></a>License</h3> <p>These datasets are made available under the <a href="https://creativecommons.org/licenses/by/4.0/" rel="nofollow">Creative Commons Attribution 4.0 International License</a>.</p> <h3><a href="https://huggingface.co/datasets/Aiwensile2/Minecraft_MCQ_Datasets#doi" rel="nofollow"></a>DOI</h3> <p>10.5281/zenodo.11583478</p>
Minecraft Torch
This model also includes the texture of minecraft torch, please download and see.If you want to make many cool 3d models for free, just check out my youtube channel link and learn how to make all these.https://www.youtube.com/channel/UC3cuN9p0j-BdSRCV3Q6UP2g Source: Objaverse 1.0 / Sketchfab
Minecraft Piano
Piano I made in program named "Blockbench" Dowanload Link to The program: https://www.blockbench.net Source: Objaverse 1.0 / Sketchfab
Minecraft AngkorWat PointCloud Test
Expanded and finished my previous cambodian minecraft build, but can't find an easy way to export the modded blocks. So I tried using the photogrammetry method and made a point cloud scene with 64 ingame screenshots. This was also my first time trying out photogrammetry, so sorry if the scan is bad. But I somehow really like the paintery effect atm ***** **4K Screenshots Imgur Album:** [](https://imgur.com/a/wxFqc) [**Map Download**](https://drive.google.com/open?id=1AiKL1NqO-h8UB5zENTS7ognEFQ3X--tg) *(need to install the mods and resourcepack linked below):* ***** Minecraft 1.10.2 [Optifine](http://optifine.net/downloads) [Conquest Reforged Mod](https://minecraft.curseforge.com/projects/conquest-reforged) + [Resourcepack](https://minecraft.curseforge.com/projects/conquest-reforged-resource-pack) Modified SEUS shader Agisoft PhotoScan Source: Objaverse 1.0 / Sketchfab
ICE (Minecraft)
One of the cubes from Minecraft Source: Objaverse 1.0 / Sketchfab
{Minecraft} Sad Skeleton Sitting
{Minecraft Style} Sad Skeleton Sitting Source: Objaverse 1.0 / Sketchfab
Minecraft Roman Basilica
Just tried something new Source: Objaverse 1.0 / Sketchfab
Minecraft Icons
Open the record for dataset details and reuse information.
[Dataset] Minecraft: Automated Mining of Software Bug Fixes with Precise Code Context
<p>Repository mining of bug fixes from version control systems like GitHub is a challenging problem as far as the precision of the bug context is concerned before and after the fix. Coupled with this, identification of the type of the bug fix goes a long way towards creating high quality datasets that can be used for several downstream tasks. However, existing bug fix datasets suffer from the following limitations that dilute the data quality. Firstly, they do not focus on multilingual projects in their entirety given that most open-source projects are now multilingual. Secondly, the granularity of the bug fixes are considered only at the function/method level without specifying line/statement level information. Thirdly, bug fixes lying within the scope of a source file but outside any of its constituent functions have not been examined. In this paper, we propose a solution to overcome the aforementioned limitations by introducing a novel and extensive dataset named Minecraft. With a size of 28.8GB (considering 416 GitHub projects encompassing programming languages such as C, C++, Java, and Python, 2.2M commits, 3.29M bug-fix pairs), Minecraft surpasses the existing datasets by 4-fold enlargement in terms of data availability. We believe Minecraft would serve as a valuable resource for various stakeholders in the software development and research communities, empowering them to improve software quality, develop innovative bug detection and auto-fix techniques, and<br> advance the field of software engineering.<br> </p>
Minecraft Lenin by Tesla_Ru
all credit for this work is given to Tesla_Ru, the original creator of this Minecraft build. https://www.planetminecraft.com/project/statue-of-lenin-scale-1-1/ Source: Objaverse 1.0 / Sketchfab
Ak47 / Kalachnikov - Model Minecraft
Bonjour Aujourd'hui je te présente une AK47 / Kalachnikov dans le style Minecraft réalisé sur blockbench en un peu moins de 40 min. Texture comprise malheureusement elle ne comprend pas d'animation. Mais fonctionnera pour toute interface Minecraft modé, texture pack, data pack, Ui, exetera. V2 Mise à jour de mon précédent modèle, correction des textures une meilleure mise en forme ;) ________________________________________________________________ - Texture et model réalisé par : [DEDE, Alph,] - Pour toute collaboration me contacter à ce Discord : DEDE#9326 ________________________________________________________________ Source: Objaverse 1.0 / Sketchfab
Kitta Statzwerge Minecraft Model
For the Kids that Attend KittaStatzwerge in Ahrensburg during COVID 19 Source: Objaverse 1.0 / Sketchfab
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.