metadata

language:
  - en
license: odc-by
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
dataset_info:
  features:
    - name: text
      dtype: string
    - name: embedding
      sequence: float32
  splits:
    - name: train
      num_bytes: 3210969541
      num_examples: 1000000
    - name: test
      num_bytes: 642189299
      num_examples: 200000
  download_size: 14389290098
  dataset_size: 3853158840

Million Text Embeddings

A dataset with more than a million English sentences and their respective embeddings with the all-mpnet-base-v2 model.
Train Set: 1,000,000
Test Set: 2,00,000
Dimensions: 768
Source: agentlans/high-quality-english-sentences
GitHub: sreenaths/hf-datasets