Minecraft Statistics: The reports say that the gaming industry is expected to reach $431.87 billion by the year 2030. Since technological developments, not only there are laptops and PCs which are gaming-oriented but mobile devices have become compatible with many advanced games today. The recent release of the Harry Potter game ‘ Hogwarts Legacy is already doing its magic on the muggle world. These Minecraft Statistics include insights from various aspects that provide light on why Minecraft is one of the best games today. Editor’s Choice In Minecraft, 24 hours of the game is 20 minutes in real life. As of January 2023, the recorded number of players is 173.5 million. On average, 110,000 concurrent viewers are found on Twitch. Revenue generated from mobile downloads excluding in-game transactions counts for up to 41% of total Minecraft revenue. The Chinese edition of Minecraft has been downloaded more than 400 million times. To heal the players’ health healing potions have been used more than 1.1 billion times. Before launching Minecraft, the game was almost named a ‘Cave Game’. The game sometimes misspells its name by changing the order of words ‘C’ and ‘E’ with ‘Minecraft’. During the initial years of the pandemic, the database of total players increased by more than 14 million. The average age of a player is 24 years.

The sample inefficiency of standard deep reinforcement learning methods precludes their application to many real-world problems. Methods which leverage human demonstrations require fewer samples but have been researched less. As demonstrated in the computer vision and natural language processing communities, large-scale datasets have the capacity to facilitate research by serving as an experimental and benchmarking platform for new methods. However, existing datasets compatible with reinforcement learning simulators do not have sufficient scale, structure, and quality to enable the further development and evaluation of methods focused on using human examples. Therefore, we introduce a comprehensive, large-scale, simulator-paired dataset of human demonstrations: MineRL. The dataset consists of over 60 million automatically annotated state-action pairs across a variety of related tasks in Minecraft, a dynamic, 3D, open-world environment. We present a novel data collection scheme which al

Please fill out this terms of use form before accessing the dataset: https://forms.gle/N8gk6NNsJaBW9AKE7

This is the accompanying data published alongside a manuscript detailing an experiment that involved an adaptive companion character through real-time physiological measurement of cognitive load, who was controlled by the wizard, the primary researcher.

This dataset presents an array of physiological and log data collected during Minecraft gameplay. It contains the raw EMG, PPG, EDA, game logs, and screen-recorded gameplay from 16 participants. It also contains the scripts for processing the PPG, EDA, and EMG data in real-time, as well as the task instructions and hints provided by the companion. Full details of the data collection (including hardware and software specifications) can be found in the accompanying publication "Real-Time Adaptation of a Non-Player Character Companion Using Physiological Signals of the Player" by E J Pretty, R Guarese, J Hamari, H M Fayek and F Zambetta.

Variable Descriptions
EMG: Measured in volts (V), collected from Myoware Muscle Sensor 1.0

EDA: Measured in microsiemens (µS) by the Emotibit
PPG: Raw arbitrary units measured by the Emotibit

Gameplay: Captured by OBS

Dataset Card for TeamCraft-Data-Cen

The TeamCraft dataset is designed to develop multi-modal, multi-agent collaboration in Minecraft. It features 55,000 task variants defined by multi-modal prompts and procedurally generated expert demonstrations. TeamCraft-Data-Cen is the training split for TeamCraft centralized models, such as TeamCraft-VLA-7B-Cen. In this setup, the model has access to first-person RGB views and inventory information for all agents and generates actions for all… See the full description on the dataset page: https://huggingface.co/datasets/teamcraft/TeamCraft-Data-Cen.

Please fill out this terms of use form before accessing the dataset, and to request raw video data: https://forms.gle/4hJJNVBeZWoBSKWV8

This dataset presents an array of physiological data collected during Minecraft gameplay. It contains the raw EMG, PPG, EDA, video*, screen-recorded gameplay and (processed) EEG and eye blink rate data from 17 participants. It also contains the scripts for processing the EEG and blink rate data. All physiological data have been cropped to the start and end of the Minecraft gameplay of the main task for ease of use. Full details of the data collection (including hardware and software specifications) can be found in the accompanying publication "Multimodal Measurement of Cognitive Load in a Video Game Context: A Comparative Study between Subjective and Objective Metrics" by E J Pretty, R Guarese, C A Dziego, H M Fayek and F Zambetta.

Variable Descriptions
EMG: Measured in volts (V), collected from Myoware Muscle Sensor 1.0

EDA: Measured in microsiemens (µS) by the Emotibit
PPG: Raw arbitrary units measured by the Emotibit

Video*: Collected by a Logitech C922 Pro Stream Webcam
EEG: Measured in microvolts by an OpenBCI Ultracortex IV headset

Gameplay: Captured by OBS

It's initial usage is for detecting cognitive load using a variety of sensors to establish the validity of their use in comparison to subjective measures of cognitive load.

*video data available upon request

How do some of the rocks in Minecraft form and behave in real life? This short video discusses bedrock, obsidian and redstone using real rock samples and references to the game. Two posters provide …Show full descriptionHow do some of the rocks in Minecraft form and behave in real life? This short video discusses bedrock, obsidian and redstone using real rock samples and references to the game. Two posters provide further information about the geology of Minecraft and are available from https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/79560 For more education resources visit ga.gov.au/education