Dataset Card for my-distiset-88563b65

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/hugmah/my-distiset-88563b65/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/hugmah/my-distiset-88563b65/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default

---

{
    "Answer": "Anh Tr\u1ecdng t\u00e0i v\u00e0 t\u1ed5 VAR \u0111\u01b0\u1ee3c cho x\u1eed l\u00fd \u0111\u00fang quy \u0111\u1ecbnh khi can thi\u1ec7p, h\u1ee7y qu\u1ea3 ph\u1ea1t \u0111\u1ec1n c\u1ee7a Everton \u1edf cu\u1ed1i tr\u1eadn h\u00f2a Man Utd 2-2 t\u1ea1i v\u00f2ng 26 Ngo\u1ea1i h\u1ea1ng Anh.",
    "Category": "B\u00f3ng \u0111\u00e1",
    "Question": "VnExpress: V\u00ec sao Man Utd tho\u00e1t ph\u1ea1t \u0111\u1ec1n tr\u01b0\u1edbc Everton??",
    "Solution": "https://vnexpress.net/vi-sao-man-utd-thoat-phat-den-truoc-everton-4853591.html"
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("hugmah/my-distiset-88563b65", "default")

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

from datasets import load_dataset

ds = load_dataset("hugmah/my-distiset-88563b65")