---
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