---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype: int64
  splits:
  - name: train
    num_bytes: 64
    num_examples: 2
  - name: test
    num_bytes: 51
    num_examples: 2
  download_size: 2726
  dataset_size: 115
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---

This dataset has been generated using:

```
from datasets import Dataset, DatasetDict

# Create a very small dataset
data = {
    "text": [
        "Hello, how are you?",
        "I am fine, thank you!",
        "Good morning!",
        "See you later!",
    ],
    "label": [0, 1, 0, 1],  # Example binary labels
}

# Convert the data into a Hugging Face Dataset
dataset = Dataset.from_dict(data)

# Split into train and test sets
dataset_dict = DatasetDict(
    {
        "train": dataset.select([0, 1]),
        "test": dataset.select([2, 3]),
    }
)

# Push the dataset to the Hugging Face Hub
dataset_name = "flexsystems/flex-e2e-super-tiny-dataset"
dataset_dict.push_to_hub(dataset_name, private=False)

print(f"Dataset '{dataset_name}' has been pushed to the Hugging Face Hub.")

```