natural_language
code-natural-language-classification-datasetSampling from codeparrot/github-code under more permissive license ['mit', 'apache-2.0', 'bsd-3-clause', 'bsd-2-clause', 'cc0-1.0'] + sampling from minipile.
It is intended to be used for training code natural language classifier.
natural-language-to-mongosh
Natural Language to MongoDB Shell (mongosh) Benchmark
Benchmark dataset for performing natural language (NL) to MongoDB Shell (mongosh) code generation.
There is an emerging desire from users for NL query generation.
This benchmarks examines how LLMs generate MongoDB queries and provides proactive guidance for making systems that map NL to MongoDB queries.
Repository Contents
This repository contains:
Benchmark dataset (flat CSV file, Braintrust evaluation… See the full description on the dataset page: https://huggingface.co/datasets/mongodb-eai/natural-language-to-mongosh.Natural_Language_to_Ffmpeg_Commands
Natural Language to FFmpeg Dataset
Disclaimer: This dataset was synthetically generated using a large language model and is intended for research purposes only. The dataset may contain inaccuracies, errors, or inconsistencies. Users should exercise caution and verify the correctness of the data before using it in any application.
This dataset contains 1000+ pairs of English natural language instructions and corresponding FFmpeg commands.
The dataset is designed for tasks… See the full description on the dataset page: https://huggingface.co/datasets/burak29/Natural_Language_to_Ffmpeg_Commands.natural-language-satisfiability@misc{https://doi.org/10.48550/arxiv.2211.05417,
doi = {10.48550/ARXIV.2211.05417},
url = {https://arxiv.org/abs/2211.05417},
author = {Schlegel, Viktor and Pavlov, Kamen V. and Pratt-Hartmann, Ian},
keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Can Transformers Reason in Fragments of Natural Language?},
publisher = {arXiv},
year = {2022},
copyright =… See the full description on the dataset page: https://huggingface.co/datasets/tasksource/natural-language-satisfiability.git-natural-language-commands
Git Natural Language Commands
A dataset mapping English natural-language instructions to their corresponding git commands, intended for training and evaluating models that translate user intent into safe, correct shell commands.
Disclaimer: This dataset was generated using Large Language Models (LLMs). The examples have not been manually verified against real-world usage and may contain errors, inconsistencies, or non-canonical phrasings. Use with appropriate caution.… See the full description on the dataset page: https://huggingface.co/datasets/burak29/git-natural-language-commands.natural_language_to_linux
nl2linux
This a custom dataset used to fine-tune Large Language Models for Linux Command Generation.
The dataset is created by filtering AnishJoshi/nl2bash-custom dataset from huggingface.
Dataset Structure
train.json: Training split.
dev.json: Development split.
test.json: Test split.
Usage
from datasets import load_dataset
dataset = load_dataset("prabhanshubhowal/natural_language_to_linux")
Features
'nl_command': The natural language… See the full description on the dataset page: https://huggingface.co/datasets/prabhanshubhowal/natural_language_to_linux.