README.md

metadata

dataset_info:
  features:
    - name: post_id
      dtype: string
    - name: domain
      dtype: string
    - name: upvote_ratio
      dtype: float64
    - name: seconds_difference
      dtype: float64
    - name: score_ratio
      dtype: float64
    - name: prompt
      dtype: string
    - name: chosen
      dtype: string
    - name: rejected
      dtype: string
    - name: score_chosen
      dtype: int64
    - name: score_rejected
      dtype: int64
  splits:
    - name: train
      num_bytes: 123987035
      num_examples: 89971
    - name: validation
      num_bytes: 7709028
      num_examples: 4936
    - name: test
      num_bytes: 7793116
      num_examples: 4938
  download_size: 88713712
  dataset_size: 139489179
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
license: odc-by

>>> dataset = load_dataset("pszemraj/SHP-2-dpo-100k_sample")
>>> dataset
DatasetDict({
    train: Dataset({
        features: ['post_id', 'domain', 'upvote_ratio', 'seconds_difference', 'score_ratio', 'prompt', 'chosen', 'rejected', 'score_chosen', 'score_rejected'],
        num_rows: 89971
    })
    validation: Dataset({
        features: ['post_id', 'domain', 'upvote_ratio', 'seconds_difference', 'score_ratio', 'prompt', 'chosen', 'rejected', 'score_chosen', 'score_rejected'],
        num_rows: 4936
    })
    test: Dataset({
        features: ['post_id', 'domain', 'upvote_ratio', 'seconds_difference', 'score_ratio', 'prompt', 'chosen', 'rejected', 'score_chosen', 'score_rejected'],
        num_rows: 4938
    })
})