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 | |