Dataset Viewer
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Here's a short question about Ulimit:
What is the purpose of the "ulimit -S" command, and how does it affect the maximum number of processes that can be run by a user? | {
"raw_input_text_generation_1": [
{
"content": "Here's a short question about Ulimit:\n\nWhat is the purpose of the \"ulimit -S\" command, and how does it affect the maximum number of processes that can be run by a user?",
"role": "user"
}
],
"raw_output_text_generation_1": "The purpose of the `ulimit -S` command (soft limits) is to adjust the maximum number of processes that can be started by a user without requiring the root administrator's intervention.\n\n`ulimit -S` sets the soft limit on the maximum number of processes a user can have open. This is different from `ulimit -H` (hard limit), which sets a hard limit that can only be changed by the root administrator.\n\nWhen a soft limit is set for the maximum number of processes, the system will prevent the user from running more than the specified number of processes. However, if the user needs to run more processes",
"statistics_text_generation_1": {
"input_tokens": 76,
"output_tokens": 128
}
} | https://api-inference.huggingface.co/models/meta-llama/Llama-3.2-3B-Instruct | The purpose of the `ulimit -S` command (soft limits) is to adjust the maximum number of processes that can be started by a user without requiring the root administrator's intervention.
`ulimit -S` sets the soft limit on the maximum number of processes a user can have open. This is different from `ulimit -H` (hard limit), which sets a hard limit that can only be changed by the root administrator.
When a soft limit is set for the maximum number of processes, the system will prevent the user from running more than the specified number of processes. However, if the user needs to run more processes |
Dataset Card for uplimit-instruction-tuning-dataset
This dataset has been created with distilabel.
The pipeline script was uploaded to easily reproduce the dataset: ipykernel_launcher.py.
It can be run directly using the CLI:
distilabel pipeline run --script "https://huggingface.co/datasets/BelarminoF/uplimit-instruction-tuning-dataset/raw/main/ipykernel_launcher.py"
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/BelarminoF/uplimit-instruction-tuning-dataset/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/BelarminoF/uplimit-instruction-tuning-dataset/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"distilabel_metadata": {
"raw_input_text_generation_1": [
{
"content": "Here\u0027s a short question about Ulimit:\n\nWhat is the purpose of the \"ulimit -S\" command, and how does it affect the maximum number of processes that can be run by a user?",
"role": "user"
}
],
"raw_output_text_generation_1": "The purpose of the `ulimit -S` command (soft limits) is to adjust the maximum number of processes that can be started by a user without requiring the root administrator\u0027s intervention.\n\n`ulimit -S` sets the soft limit on the maximum number of processes a user can have open. This is different from `ulimit -H` (hard limit), which sets a hard limit that can only be changed by the root administrator.\n\nWhen a soft limit is set for the maximum number of processes, the system will prevent the user from running more than the specified number of processes. However, if the user needs to run more processes",
"statistics_text_generation_1": {
"input_tokens": 76,
"output_tokens": 128
}
},
"instruction": "Here\u0027s a short question about Ulimit:\n\nWhat is the purpose of the \"ulimit -S\" command, and how does it affect the maximum number of processes that can be run by a user?",
"model_name": "https://api-inference.huggingface.co/models/meta-llama/Llama-3.2-3B-Instruct",
"response": "The purpose of the `ulimit -S` command (soft limits) is to adjust the maximum number of processes that can be started by a user without requiring the root administrator\u0027s intervention.\n\n`ulimit -S` sets the soft limit on the maximum number of processes a user can have open. This is different from `ulimit -H` (hard limit), which sets a hard limit that can only be changed by the root administrator.\n\nWhen a soft limit is set for the maximum number of processes, the system will prevent the user from running more than the specified number of processes. However, if the user needs to run more processes"
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("BelarminoF/uplimit-instruction-tuning-dataset", "default")
Or simply as it follows, since there's only one configuration and is named default
:
from datasets import load_dataset
ds = load_dataset("BelarminoF/uplimit-instruction-tuning-dataset")
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