datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.Natural-Language-Processing-with-Disaster-Tweets-0.84033qwen3_0.6b-rlvr_task1516_imppres_naturallanguageinferencenatural-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.master_emotion_audio_with_natural_language_promptsnatural_language_classifier
How-to
from datasets import load_dataset
dataset = load_dataset("aushakova/natural_language_classifier", "main")