
The emo163 dataset comprises approximately 395,000 entries of music emotion labels. Each entry includes three primary columns: Song ID, Playlist ID, and the emotional label of the song. Sourced from the official website of Netease Cloud Music, this dataset offers comprehensive information regarding the emotional annotations of songs. The Song ID serves as a unique identifier for each track, while the Playlist ID denotes the playlist to which the song belongs. The emotional labels assign categorical emotional tags to each song, facilitating in-depth exploration within the field of music emotion analysis for researchers and data scientists. With its substantial scale, the dataset is suitable for constructing emotion analysis models, conducting data mining, and gaining a profound understanding of the relationship between music and emotion.

## Maintenance
```bash
GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/monet-joe/emo163
```

## Usage
```python
from datasets import load_dataset

dataset = load_dataset("monet-joe/emo163")

for item in dataset["train"]:
  print(item)

for item in dataset["validation"]:
  print(item)

for item in dataset["test"]:
  print(item)
```

## Mirror
<https://www.modelscope.cn/datasets/monetjoe/emo163>

## Reference
[1] <https://music.163.com/#/discover/playlist>
task_categories:audio-classification task_categories:image-classification size_categories:1M<n<10M language:en license:mit music art region:us
{"language": ["en"], "license": "mit", "size_categories": ["1M<n<10M"], "task_categories": ["audio-classification", "image-classification"], "pretty_name": "emo163 dataset", "tags": ["music", "art"]}
TAGS
#task_categories-audio-classification #task_categories-image-classification #size_categories-1M<n<10M #language-English #license-mit #music #art #region-us 


The emo163 dataset comprises approximately 395,000 entries of music emotion labels. Each entry includes three primary columns: Song ID, Playlist ID, and the emotional label of the song. Sourced from the official website of Netease Cloud Music, this dataset offers comprehensive information regarding the emotional annotations of songs. The Song ID serves as a unique identifier for each track, while the Playlist ID denotes the playlist to which the song belongs. The emotional labels assign categorical emotional tags to each song, facilitating in-depth exploration within the field of music emotion analysis for researchers and data scientists. With its substantial scale, the dataset is suitable for constructing emotion analysis models, conducting data mining, and gaining a profound understanding of the relationship between music and emotion.

## Maintenance


## Usage


## Mirror
<URL

## Reference
[1] <URL
## Maintenance ## Usage ## Mirror
<URL ## Reference
[1] <URL
TAGS
#task_categories-audio-classification #task_categories-image-classification #size_categories-1M<n<10M #language-English #license-mit #music #art #region-us 
 ## Maintenance ## Usage ## Mirror
<URL ## Reference
[1] <URL
passage: TAGS
#task_categories-audio-classification #task_categories-image-classification #size_categories-1M<n<10M #language-English #license-mit #music #art #region-us 
## Maintenance## Usage## Mirror
<URL## Reference
[1] <URL