datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nl2bash-custom
nl2bash-custom
nl2bash-custom is a custom dataset used to fine-tune Large Language Models for Bash Code Generation. Fine tune the Code-Llamma family of LLMs (7b, 13b, 70b) for best results.
The dataset is created by reformatting and reshiffling of 2 original datasets
nl2bash by TelinaTool
NLC2CMD by Magnum Reasearch Group
Dataset Structure
train.json: Training split.
dev.json: Development split.
test.json: Test split.
Usage
from datasets import… See the full description on the dataset page: https://huggingface.co/datasets/AnishJoshi/nl2bash-custom.nl2bash-mini-tracesnl2bash-combined
nl2bash-combined
A merged and reformatted dataset for natural language to bash command generation, prepared for fine-tuning instruction-following language models.
Sources
Dataset
Split
Rows
jiacheng-ye/nl2bash
train
8,090
jiacheng-ye/nl2bash
validation
609
jiacheng-ye/nl2bash
test
606
AnishJoshi/nl2bash-custom
train
19,658
AnishJoshi/nl2bash-custom
validation
2,457
AnishJoshi/nl2bash-custom
test
2,458
Total: 33,878 examples — train: 27,748 /… See the full description on the dataset page: https://huggingface.co/datasets/DiyRex/nl2bash-combined.chandonay-nl2bash-es
Dataset Card for chandonay-nl2bash-es
Dataset Summary
This is a synthetic dataset designed to train small Language Models (SLMs) to act as local Linux terminal assistants. It maps natural language instructions in Spanish to executable Bash commands.
The unique feature of this dataset is the inclusion of Context Awareness. Each input instruction includes a simulated system state (Current Working Directory pwd and File Listing ls). This allows the model to learn logic such… See the full description on the dataset page: https://huggingface.co/datasets/jrodriiguezg/chandonay-nl2bash-es.nl2bash-sft-filtered