Dataset Viewer
instruction
stringclasses 1
value | distilabel_metadata
dict | model_name
stringclasses 1
value | response
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value |
|---|---|---|---|
What is the main focus of the Hugging Face Smol-Course? | {
"raw_input_text_generation_1": [
{
"content": "What is the main focus of the Hugging Face Smol-Course?",
"role": "user"
}
],
"raw_output_text_generation_1": "The main focus of the Hugging Face Smol-Course is to provide an introduction to deep learning and natural language processing (NLP) using Python. The course covers key concepts such as neural networks, recurrent neural networks (RNNs), long short-term memory (LSTM) networks, convolutional neural networks (CNNs), transformers, and more. It also includes hands-on exercises and projects that allow learners to apply these concepts in real-world scenarios. The course is designed for beginners with no prior knowledge of deep learning or NLP.",
"statistics_text_generation_1": {
"input_tokens": 15,
"output_tokens": 109
}
} | HuggingFaceTB/SmolLM2-1.7B-Instruct | The main focus of the Hugging Face Smol-Course is to provide an introduction to deep learning and natural language processing (NLP) using Python. The course covers key concepts such as neural networks, recurrent neural networks (RNNs), long short-term memory (LSTM) networks, convolutional neural networks (CNNs), transformers, and more. It also includes hands-on exercises and projects that allow learners to apply these concepts in real-world scenarios. The course is designed for beginners with no prior knowledge of deep learning or NLP. |
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