datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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_pandas_basketballnatural-language-to-atlas-search
Natural Language to Atlas Search Benchmark
By Ben Perlmutter, Oct 16, 2025
This README contains a report of benchmarking various large language models (LLMs) on converting natural language (NL) queries into executable Atlas Search code.
Summary of Results
There is a correlation between model performance on generally available benchmarks and this NL to Atlas Search benchmark for frontier LLMs.
There was not a clearly discernible optimal prompting strategy.
Results at a… See the full description on the dataset page: https://huggingface.co/datasets/mongodb-eai/natural-language-to-atlas-search.clinical_patient_triage_natural_languagenatural-language-to-query