Resources by david-stemper

Top streamers on Twitch

Top streamers on Twitch

david-stemper
Open Dataset
Creators: Aayush Mishra
Publication Date: n.a
Creators: Aayush Mishra

This dataset includes information on Twitch streamers, such as their follower count, channel views, watch time, stream time, peak viewers, and average viewers, providing insights into streaming trends and audience engagement on the Twitch platform. The dataset size is relatively small, approximately 0.1 MB, making it easily manageable for data analysis. It contains observations on the top 1,000 Twitch streamers, providing a substantial sample size for statistical analysis and modeling. In terms of temporal coverage, the dataset typically reflects streamer metrics from the past year relative to its compilation date. For example, if the dataset was published in May 2024, it would cover data from May 2023 to May 2024. Structurally, the dataset is organized into a tabular format where each row represents a streamer and the columns provide specific performance metrics. The key columns include the streamer’s rank based on performance metrics, their name, the total hours they have streamed, the number of new followers they have acquired, the average number of viewers per stream, and the variety or count of different games they have played.

NES music database

NES music database

david-stemper
Open Dataset
Creators: Chris Donahue
Publication Date: 2018-xx-xx
Creators: Chris Donahue

The NES Music Database (NES-MDB) is a dataset designed for machine learning applications in music composition for the Nintendo Entertainment System (NES). It ) encompasses music from 397 NES games, primarily released during the console’s peak popularity in the 1980s and early 1990s. The dataset is about 155 MB in its largest format and is available in MIDI, score, and VGM formats. It is primarily relevant to the gaming, machine learning, and music technology industries. The dataset is organized into several formats to accommodate diverse research and application needs:​

  • MIDI Format: This format stores discrete musical events, including note, velocity, and timbre, with a high temporal resolution of 44.1 kHz, enabling precise reconstruction by an NES synthesizer. ​

  • Score Formats: These are piano roll representations sampled at a fixed rate of 24 Hz, providing dense, compact data suitable for detailed music analysis. ​

  • Language Modeling Format: Tailored for language modeling applications, this format facilitates the study of sequential patterns in NES music compositions.

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