Datasetpublic

AMIREBADY/my-distiset-4bf027a8

Dataset Card for my-distiset-4bf027a8 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/AMIREBADY/my-distiset-4bf027a8/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/AMIREBADY/my-distiset-4bf027a8.

sourceHugging Faceupdated 2y agoView on Hugging Face

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Dataset Card

Dataset Card for my-distiset-4bf027a8

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/AMIREBADY/my-distiset-4bf027a8/raw/main/pipeline.yaml"

or explore the configuration:

console

distilabel pipeline info --config "https://huggingface.co/datasets/AMIREBADY/my-distiset-4bf027a8/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

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

json

{
    "context": "\u06cc\u0644\u0627\u0639\u062a \u0647\u0645\u0633\u0628\n\n)\n\n1403\n\n\u0644\u0627\u0633(\n\n\u062a\u0634\u0631 \u0646\u0627\u062a\u0633\u0631\u0647\u0634\n\n\u0647\u0646\u0627\u06cc\u0627\u0631 \u0648 \u06a9\u06cc\u0646\u0648\u0631\u062a\u06a9\u0644\u0627 \u0646\u0627\u0631\u0648\u0622 \u0646\u0641\n\n\u0641\u0646\u0635 \u0647\u06cc\u062f\u0627\u062d\u062a\u0627\n\n\u0647\u0645\u0627\u0646\u062e\u062f\u0646\n\n\u06cc\u0632\u0627\u0628 \u06cc\u0627\u0647 \u0644\u0648\u0633\u0646\u06a9 \u062a\u0627\u0645\u062f\u062e \u0647\u0641\u0631\u0639\u062a\n\n\u062a\u0633\u0627 \u0644\u0627\u06cc\u0631 \u0647\u0628 \u0627\u0647 \u062a\u0645\u06cc\u0642:\u0647\u062a\u06a9\u0646*\n\nPS5\n\n5.100.000\n\n10.000.000\n\nXBOX\n\n3.740.000\n\n1.700.000\n\nPS4\n\n3.740.000\n\n1.500.000\n\n\u0631\u0648\u062a\u0627\u0631\u0628\n\n\u062a\u0645\u062f\u062e \u062d\u0631\u0634 \u06cc\u0636IC \u06cc\u0636\n\n\u0698\u0631\u0627\u0634\n\n\u0648\u0639\u062a\n\n\u06cc \u0648 \u0648 \u064a\u0631\u0637\u0627\u0628\n\n\u0648\u0639\u062a\n\n\u0641\u06cc\u062f\u0631\n\n1\n\n2\n\n2.550.000\n\n1.500.000\n\n1.500.000\n\n\u062f\u062f\u0639 \u0631\u0647 \u064a\u0627\u0631\u0628 \u0627\u0647\n\n\u06cc\u0636 \u0648\u0633\u06cc\u06cc\u0686\n\n\u0648\u0639\u062a\n\n3\n\n2.550.000\n\n1.700.000\n\n1.700.000\n\nFlatcable\n\n\u06cc\u0636\n\n\u0648\u0639\u062a\n\n4\n\n5.100.000\n\n2.550.000\n\n2.550.000\n\nMainBoard",
    "negative_reranking": null,
    "negative_retrieval": null,
    "positive_reranking": null,
    "positive_retrieval": null,
    "question": null,
    "response": "It seems there is no question provided. The document appears to be a list of prices for various electronic devices, including gaming consoles and computer components, but there is no question to answer. If you\u0027d like to provide a question, I\u0027ll be happy to help."
}

This subset can be loaded as:

python

from datasets import load_dataset

ds = load_dataset("AMIREBADY/my-distiset-4bf027a8", "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("AMIREBADY/my-distiset-4bf027a8")

</details>