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2 results for “Annotation Game”

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zenodo40/100

Wikipedia video games similarity dataset with expert annotations

<p>A video games NLP dataset extracted from Wikipedia.</p> <p>For all articles, the figures and tables have been filtered out, as well as the categories and &quot;see also&quot; sections.</p> <p>The article structure, and&nbsp;particularly the sub-titles and paragraphs are kept in these picese.</p> <p>Provided as well are 90 seeds with recommended articles, annotated by human experts.</p>

opencc-by-4.0Feb 2022View details →
zenodo32/100

YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations

<p>YM2413-MDB is&nbsp;an 80s FM video game music dataset with multi-label emotion annotations. It includes 669 audio and MIDI files of music from Sega and MSX PC games in the 80s using YM2413, a programmable sound generator based on FM. The collected game music is arranged with a subset of 15 monophonic instruments and one drum instrument. They were converted from binary commands of the YM2413 sound chip. Each song was labeled with 19 emotion tags by two annotators and validated by three verifiers to obtain refined tags</p> <p>For more detailed information about the dataset, please refer to our paper:&nbsp;<a href="https://arxiv.org/abs/2211.07131">YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations</a>.</p> <p><strong>File&nbsp;Description</strong></p> <p><strong>1) Pure data</strong></p> <p>- original_vgms: crawled vgm files from <a href="https://www.smspower.org/">SMS POWER</a> and <a href="https://vgmrips.net/packs/">VGMRIPs</a></p> <p>- wav: rendered vgm files using <a href="https://github.com/vgmrips/vgmplay">VGMPlay</a></p> <p>&nbsp;</p> <p><strong>2) MIDI data</strong></p> <p>- midi/vgmplay_log_to_midi: converted midi files</p> <p>- midi/adjust_tempo: add postprocessing(metrically aligned using wav_downbeat files) after midi conversion</p> <p>- midi/adjust_tempo_remove_delayed_inst: add postprocessing(metrically aligned using wav_downbeat files, remove delayed instrument) after midi conversion</p> <p>&nbsp;</p> <p><strong>3) Metadata</strong></p> <p>- emotion_annotation/verified_annotation.csv: contains emotion annotation for each songs</p> <p>- tags_kor_eng.txt: Korean &lt;-&gt; English tag dictionary</p> <p>&nbsp;</p> <p><strong>4) Useful middle-time step data</strong></p> <p>- wav_downbeat: extracted downbeat values using TCNBeatTracker of <a href="https://github.com/CPJKU/madmom">madmom</a></p> <p>- vgm_txts: disassembled vgm files as txt using <a href="https://github.com/vgmrips/vgmtools#vgm-text-writer-vgm2txt">vgm2txt</a></p> <p>- ydr: YM2413 Disassembly Raw(YDR). command list of vgm files. generated by reading vgm_txts</p> <p>&nbsp;</p> <p><strong>Update Log</strong></p> <p>- version 1.0.1: Fix ticks per beat value adjust to tempo where tempo values are not 150. Also, madmom downbeat files are updated from DBNBeatTracker(ISMIR, 2015) to TCNBeatTracker(Newer one EUSIPCO, 2019).</p> <p>- version 1.0.2: <strong><a href="https://github.com/jech2/YM2413-MDB/issues/2">Wrong emotion tag issue in the verification annotation file was&nbsp;fixed.</a></strong></p>

opencc-by-4.0Jul 2022View details →

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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.

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