size_categories:n<1K format:parquet modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us fastdata synthetic
---
dataset_info:
  features:
  - name: dataset_name
    dtype: string
  - name: formatted_features
    dtype: string
  - name: num_rows
    dtype: int64
  - name: total_examples
    dtype: int64
  - name: sample_data
    dtype: string
  - name: dataset_description
    dtype: string
  - name: dataset_queries
    sequence: string
  - name: critiques
    list:
    - name: explanation
      dtype: string
    - name: polarsExample
      dtype: string
    - name: query
      dtype: string
    - name: score
      dtype: int64
    - name: sqlExample
      dtype: string
  splits:
  - name: train
    num_bytes: 443524
    num_examples: 9
  download_size: 184501
  dataset_size: 443524
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- fastdata
- synthetic
---

A small experimental dataset using [`fastdata`](https://github.com/AnswerDotAI/fastdata) to generate a synethic dataset which aims to turn a sample of data from a Hugging Face dataset accessed via the [datasets viewer](https://huggingface.co/docs/dataset-viewer/index) API into a set of possible natural langue queries about that dataset and a description.