README.md

metadata

annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - en
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - n<1K
source_datasets:
  - original
task_categories:
  - other
task_ids:
  - natural-language-inference
pretty_name: test
dataset_info:
  - config_name: customers
    features:
      - name: customer_id
        dtype: int64
      - name: name
        dtype: string
      - name: age
        dtype: int64
    splits:
      - name: train
        num_bytes: 2164
        num_examples: 70
      - name: validation
        num_bytes: 465
        num_examples: 15
      - name: test
        num_bytes: 463
        num_examples: 15
    download_size: 6030
    dataset_size: 3092
  - config_name: products
    features:
      - name: product_id
        dtype: int64
      - name: name
        dtype: string
      - name: price
        dtype: float64
    splits:
      - name: train
        num_bytes: 1674
        num_examples: 56
      - name: validation
        num_bytes: 359
        num_examples: 12
      - name: test
        num_bytes: 358
        num_examples: 12
    download_size: 6172
    dataset_size: 2391
configs:
  - config_name: customers
    data_files:
      - split: train
        path: customers/train-*
      - split: validation
        path: customers/validation-*
      - split: test
        path: customers/test-*
  - config_name: products
    data_files:
      - split: train
        path: products/train-*
      - split: validation
        path: products/validation-*
      - split: test
        path: products/test-*

Dataset Card for test

This dataset contains customer and product information.

Dataset Structure

Data Splits

The dataset contains the following subsets, each split into train/validation/test sets:

customers

• Train: 70 examples
• Validation: 15 examples
• Test: 15 examples

products

• Train: 56 examples
• Validation: 12 examples
• Test: 12 examples

Data Fields

customers

• customer_id: int32
• name: string
• age: int32

products

• product_id: int32
• name: string
• price: double