datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cis5300-language-models
CIS 5300 Language Models Dataset
Dataset for Homework 3 of CIS 5300 (Natural Language Processing) at Penn.
Cities config
Country-of-origin classification over short city-name strings, drawn from
nine countries (Afghanistan, China, Germany, Finland, France, India, Iran,
Pakistan, South Africa).
from datasets import load_dataset
cities = load_dataset("CCB/cis5300-language-models", "cities")
Split
Rows
Has labels?
train
12,392
yes
validation
1,548
yes
test
1… See the full description on the dataset page: https://huggingface.co/datasets/CCB/cis5300-language-models.multimodal-vision-language-video-models-2026
👁️ Multimodal Vision-Language & Video Foundation Models Dataset (2026 Edition)
A structured research dataset featuring 1,000 domain-verified research papers and code repositories focused on Multimodal Vision-Language Models (VLM), Video Foundation Models, Diffusion Transformers (DiT), Visual Grounding, and World Simulators.
Built with Universal Scientific Engine V15.1 Gold, providing 47 schema attributes with verified repository attribution, modality capability matrix, vision… See the full description on the dataset page: https://huggingface.co/datasets/beatsprom/multimodal-vision-language-video-models-2026.Instruction-Following-Evaluation-for-Large-Language-Models
Instruction-Following Evaluation Dataset
📜 Overview
This dataset, specifically designed for the evaluation of large language models in instruction-following tasks, is directly inspired by the methodologies and experiments described in the paper titled "Instruction-Following Evaluation for Large Language Models". The dataset's creation and availability on HuggingFace are aimed at enhancing research and application in the field of natural language understanding… See the full description on the dataset page: https://huggingface.co/datasets/harpreetsahota/Instruction-Following-Evaluation-for-Large-Language-Models.evals-for-every-language-modelshugging-face-language-models
Data from the configs of the 184 most popular language models on Hugging Face
Large-Language-Models-Often-Know-When-They-Are-Being-Evaluated
Dataset Card for Evaluation Awareness Benchmark
Dataset Summary
This benchmark checks whether a language model can recognise when a conversation is itself part of an evaluation rather than normal, real-world usage. The dataset contains 976 conversational transcripts with rich metadata, including:
True evaluation transcripts from prompt-injection tests, red-teaming tasks, and coding challenges
Organic/real transcripts from actual user queries, scraped chats, and… See the full description on the dataset page: https://huggingface.co/datasets/eval-aware/Large-Language-Models-Often-Know-When-They-Are-Being-Evaluated.