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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. |
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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