Select Language

AI社区

公开数据集

音乐艺术家受欢迎

音乐艺术家受欢迎

191.79M
201 浏览
0 喜欢
2 次下载
0 条讨论
Internet,Music,Popular Culture Classification

数据结构 ? 191.79M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    # Music artists popularity The dataset consists of over *1.4 Million* musical artists present in [MusicBrainz](https://musicbrainz.org/) database -- their names, tags, and popularity (listeners/scrobbles), based on data scraped from [last.fm](https://www.last.fm/). For the code used to obtain it, see [here](https://github.com/ppatrzyk/kaggle/tree/master/music). ## Notes about data correctness Last.fm suffers from the problem of multiple artists sharing the same profile page due to the fact that they have the same name. This means that for artists that have non-unique name it is not possible to establish how many of the listeners/scrobbles should be attributed to whom. In many cases this problem is negligible – for instance, there are at least 6 artists called *Nirvana* in the MusicBrainz database, but their popularity is distributed such that almost all of the scrobbles can be safely assumed to come from “this” *Nirvana*. However, for some artists, tracking the number of listeners/scrobbles is completely broken – [*Arkona*]( https://www.last.fm/music/Arkona) or [*Ikon*](https://www.last.fm/music/Ikon) are some examples of this issue. In these cases, each artist with a duplicated name has an aggregated number of listeners/scrobbles assigned to them. In addition some artists have multiple profiles due to different spelling or transliteration between alphabets (see, e.g. [here]( https://www.last.fm/music/%D0%9A%D0%B8%D0%BD%D0%BE) and [here]( https://www.last.fm/music/Kino)). Last.fm tags are generated by the website’s users, so expect a lot of stuff in the *tags\_lastfm* column to be factually incorrect, non-serious or vulgar (e.g., check out tags for *Justin Bieber*). Data in column *country\_lastfm* is established based on matching existing country names and their adjectivals with tags received from last.fm. This approach is prone to error (see the point above). In addition, there is an unfortunate ambiguity in tags such as *spanish* or *german*. These are used both to indicate where the artists come from and to indicate the language in which the lyrics are written. Because of that, many Latin American, Austrian, and Swiss artists have an incorrect country assigned to them.
    ×

    帕依提提提温馨提示

    该数据集正在整理中,为您准备了其他渠道,请您使用

    注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
    暂无相关内容。
    暂无相关内容。
    • 分享你的想法
    去分享你的想法~~

    全部内容

      欢迎交流分享
      开始分享您的观点和意见,和大家一起交流分享.
    所需积分:0 去赚积分?
    • 201浏览
    • 2下载
    • 0点赞
    • 收藏
    • 分享