size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: df
    dtype: string
  splits:
  - name: sulfur
    num_bytes: 100
    num_examples: 7
  - name: Brazilian_houses
    num_bytes: 130
    num_examples: 9
  - name: Ailerons
    num_bytes: 529
    num_examples: 34
  - name: pol
    num_bytes: 417
    num_examples: 27
  - name: california
    num_bytes: 130
    num_examples: 9
  - name: house_sales
    num_bytes: 241
    num_examples: 16
  - name: house
    num_bytes: 257
    num_examples: 17
  - name: diamonds
    num_bytes: 100
    num_examples: 7
  - name: medical_charges
    num_bytes: 55
    num_examples: 4
  - name: SGEMM_GPU_kernel_performance
    num_bytes: 145
    num_examples: 10
  - name: nyc_taxi_green_dec_2016
    num_bytes: 145
    num_examples: 10
  download_size: 9366
  dataset_size: 2249
configs:
- config_name: default
  data_files:
  - split: sulfur
    path: data/sulfur-*
  - split: Brazilian_houses
    path: data/Brazilian_houses-*
  - split: Ailerons
    path: data/Ailerons-*
  - split: pol
    path: data/pol-*
  - split: california
    path: data/california-*
  - split: house_sales
    path: data/house_sales-*
  - split: house
    path: data/house-*
  - split: diamonds
    path: data/diamonds-*
  - split: medical_charges
    path: data/medical_charges-*
  - split: SGEMM_GPU_kernel_performance
    path: data/SGEMM_GPU_kernel_performance-*
  - split: nyc_taxi_green_dec_2016
    path: data/nyc_taxi_green_dec_2016-*
---
