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description: Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency. hide: navigation Welcome to Argilla Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
What is the collaboration platform Argilla specifically designed for?
Argilla is specifically designed for AI engineers and domain experts.
What is the collaboration platform Argilla specifically designed for?
What is the collaboration platform Argilla primarily used for by data scientists and industry experts seeking streamlined processes and data sovereignty?
Argilla is a cutting-edge collaboration platform for AI engineers and domain specialists who value high-quality deliverables, complete data control, and streamlined processes.
Argilla is a custom software platform designed specifically for AI engineers and domain experts who demand high-quality results, full data rights, and streamlined workflows.

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Dataset Card for my-distiset-4f35e40c

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/sdiazlor/my-distiset-4f35e40c/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/sdiazlor/my-distiset-4f35e40c/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default
{
    "context": "description: Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.\nhide: navigation\n\nWelcome to Argilla\n\nArgilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.",
    "negative_reranking": "Argilla is a custom software platform designed specifically for AI engineers and domain experts who demand high-quality results, full data rights, and streamlined workflows.",
    "negative_retrieval": "What is the collaboration platform Argilla primarily used for by data scientists and industry experts seeking streamlined processes and data sovereignty?",
    "positive_reranking": "Argilla is a cutting-edge collaboration platform for AI engineers and domain specialists who value high-quality deliverables, complete data control, and streamlined processes.",
    "positive_retrieval": "What is the collaboration platform Argilla specifically designed for?",
    "question": "What is the collaboration platform Argilla specifically designed for?",
    "response": "Argilla is specifically designed for AI engineers and domain experts."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("sdiazlor/my-distiset-4f35e40c", "default")

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

from datasets import load_dataset

ds = load_dataset("sdiazlor/my-distiset-4f35e40c")
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