size_categories:10K<n<100K region:us
---
dataset_info:
- config_name: best_rated
  features:
  - name: id
    dtype: string
  - name: rating
    struct:
    - name: analysis
      dtype: string
    - name: judge
      dtype: string
    - name: score
      dtype: int64
  - name: conversations
    list:
    - name: from
      dtype: string
    - name: value
      dtype: string
  splits:
  - name: train
    num_bytes: 16455644.962765958
    num_examples: 10236
  download_size: 7071171
  dataset_size: 16455644.962765958
- config_name: default
  features:
  - name: id
    dtype: string
  - name: rating
    struct:
    - name: analysis
      dtype: string
    - name: judge
      dtype: string
    - name: score
      dtype: int64
  - name: conversations
    list:
    - name: from
      dtype: string
    - name: value
      dtype: string
  splits:
  - name: train
    num_bytes: 39894811
    num_examples: 24816
  download_size: 18554361
  dataset_size: 39894811
- config_name: worst_rated
  features:
  - name: id
    dtype: string
  - name: rating
    struct:
    - name: analysis
      dtype: string
    - name: judge
      dtype: string
    - name: score
      dtype: int64
  - name: conversations
    list:
    - name: from
      dtype: string
    - name: value
      dtype: string
  splits:
  - name: train
    num_bytes: 236320.80984042553
    num_examples: 147
  download_size: 125546
  dataset_size: 236320.80984042553
configs:
- config_name: best_rated
  data_files:
  - split: train
    path: best_rated/train-*
- config_name: default
  data_files:
  - split: train
    path: data/train-*
- config_name: worst_rated
  data_files:
  - split: train
    path: worst_rated/train-*
size_categories:
- 10K<n<100K
---
# Dataset Card for "Open-Platypus-Chat-Judged"

This is [Open-Platypus-Chat](https://huggingface.co/datasets/chargoddard/Open-Platypus-Chat), judged for quality by [TheBloke/OpenOrca-Platypus2-13B-GPTQ](https://huggingface.co/TheBloke/OpenOrca-Platypus2-13B-GPTQ). Each row is annotated with a score on a scale of 1 to 5 and a brief explanation of why it was given that score.

As the "judge" was a relatively quite small model, and quantized at that, the ratings are far from perfect. This is from the first iteration of an experiment in dataset refinement. Definitely do not take this dataset as ground truth.

<sub>Or do. I'm a dataset card, not a cop.</sub>