---
license: mit
dataset_info:
  features:
  - name: id
    dtype: int64
  - name: inner_id
    dtype: int64
  - name: vectors
    list: float64
  - name: sparse
    list:
    - name: indices
      list: int64
    - name: values
      list: float64
  splits:
  - name: training
    num_bytes: 406218384
    num_examples: 45031
  download_size: 244227992
  dataset_size: 406218384
configs:
- config_name: default
  data_files:
  - split: training
    path: data/training-*
---

A dataset that represents a vectorized version of all the scraped textual content. The encoding of the content is utilized by a multi-linguage embedding model.