license:cc-by-4.0 region:us
---
license: cc-by-4.0
dataset_info:
  features:
  - name: video_url_youtube
    dtype: string
  - name: video_title_youtube
    dtype: string
  - name: track_name_spotify
    dtype: string
  - name: video_duration_youtube_sec
    dtype: float64
  - name: preview_url_spotify
    dtype: string
  - name: video_view_count_youtube
    dtype: float64
  - name: video_thumbnail_url_youtube
    dtype: string
  - name: search_query_youtube
    dtype: string
  - name: video_description_youtube
    dtype: string
  - name: track_id_spotify
    dtype: string
  - name: album_id_spotify
    dtype: string
  - name: artist_id_spotify
    sequence: string
  - name: track_duration_spotify_ms
    dtype: int64
  - name: primary_artist_name_spotify
    dtype: string
  - name: track_release_date_spotify
    dtype: string
  - name: explicit_content_spotify
    dtype: bool
  - name: similarity_duration
    dtype: float64
  - name: similarity_query_video_title
    dtype: float64
  - name: similarity_query_description
    dtype: float64
  - name: similarity_audio
    dtype: float64
  - name: audio_embedding_spotify
    sequence: float32
  - name: audio_embedding_youtube
    sequence: float32
  splits:
  - name: train
    num_bytes: 47861223.0
    num_examples: 10000
  download_size: 57725964
  dataset_size: 47861223.0
---

### Getting Started

You can download the dataset using HuggingFace:
```python
from datasets import load_dataset
ds = load_dataset("DISCOX/DISCO-10K-random")
```
The dataset contains 10,000 random samples from the DISCO-10M dataset found [here](https://huggingface.co/datasets/DISCOX/DISCO-10M).
## Dataset Structure

The dataset contains the following features:
```json
{
 'video_url_youtube',
 'video_title_youtube',
 'track_name_spotify',
 'video_duration_youtube_sec',
 'preview_url_spotify',
 'video_view_count_youtube',
 'video_thumbnail_url_youtube',
 'search_query_youtube',
 'video_description_youtube',
 'track_id_spotify',
 'album_id_spotify',
 'artist_id_spotify',
 'track_duration_spotify_ms',
 'primary_artist_name_spotify',
 'track_release_date_spotify',
 'explicit_content_spotify',
 'similarity_duration',
 'similarity_query_video_title',
 'similarity_query_description',
 'similarity_audio',
 'audio_embedding_spotify',
 'audio_embedding_youtube',
}
```

More details about the dataset can be found [here](https://huggingface.co/datasets/DISCOX/DISCO-10M).

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