|
|
--- |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
dataset_info: |
|
|
features: |
|
|
- name: dates |
|
|
dtype: string |
|
|
- name: product_id |
|
|
dtype: string |
|
|
- name: sales |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 38430 |
|
|
num_examples: 1098 |
|
|
download_size: 10860 |
|
|
dataset_size: 38430 |
|
|
license: apache-2.0 |
|
|
language: |
|
|
- en |
|
|
pretty_name: Time-Series Data |
|
|
size_categories: |
|
|
- 1K<n<10K |
|
|
tags: |
|
|
- finance |
|
|
--- |
|
|
# Time-Series Data (Teeny-Tiny Castle) |
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|
|
|
|
This dataset is part of a tutorial tied to the [Teeny-Tiny Castle](https://github.com/Nkluge-correa/TeenyTinyCastle), an open-source repository containing educational tools for AI Ethics and Safety research. |
|
|
|
|
|
## How to Use |
|
|
|
|
|
```python |
|
|
from datasets import load_dataset |
|
|
|
|
|
dataset = load_dataset("AiresPucrs/time-series-data", split = 'train') |
|
|
``` |
|
|
|
