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hiudevdut/currency-dataset

Dataset Card for currency-dataset This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/hiudevdut/currency-dataset/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/hiudevdut/currency-dataset.

sourceHugging Faceupdated 2y agoView on Hugging Face
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Dataset Card

<p align="left"> <a href="https://github.com/argilla-io/distilabel"> <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/> </a> </p>

Dataset Card for currency-dataset

This dataset has been created with distilabel.

Dataset Summary

This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:

console
distilabel pipeline run --config "https://huggingface.co/datasets/hiudevdut/currency-dataset/raw/main/pipeline.yaml"

or explore the configuration:

console
distilabel pipeline info --config "https://huggingface.co/datasets/hiudevdut/currency-dataset/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

<details><summary> Configuration: default </summary><hr>

json
{
    "label": 1,
    "text": "I am transferring $500 to my bank account with account number 1234567890."
}

This subset can be loaded as:

python
from datasets import load_dataset

ds = load_dataset("hiudevdut/currency-dataset", "default")

Or simply as it follows, since there's only one configuration and is named default:

python
from datasets import load_dataset

ds = load_dataset("hiudevdut/currency-dataset")

</details>