datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
McEvalMcEval benchmark data as described in the McEval Paper. Code for the evaluation can be found on Github as McEval.
McEval-InstructMcEval-Instruct data as described in the McEval Paper. Code for the evaluation and sft can be found on Github as McEval.
multimodal-video-annotation-samples
Video Annotation Samples – SuperviseLab
SuperviseLab provides professional video annotation data for training multimodal AI models. This public sample dataset demonstrates our annotation methodology and output quality across diverse video content categories.
Note: All visual assets in this dataset have been abstracted (pixelated mosaic) to protect source privacy. Uploader identity, original titles, and all identifiable metadata have been removed. This is a demonstration dataset… See the full description on the dataset page: https://huggingface.co/datasets/superviselab/multimodal-video-annotation-samples.lumos_multimodal_ground_iterative
🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents
🌐[Website]
📝[Paper]
🤗[Data]
🤗[Model]
🤗[Demo]
We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents.
Lumos has following features:
🧩 Modular Architecture:
🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_multimodal_ground_iterative.lumos_multimodal_plan_iterative
🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents
🌐[Website]
📝[Paper]
🤗[Data]
🤗[Model]
🤗[Demo]
We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents.
Lumos has following features:
🧩 Modular Architecture:
🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_multimodal_plan_iterative.svg-multimodal-rubrics
SVG Multimodal Rubrics
A multimodal dataset of SVG code generation samples with natural language descriptions and evaluation rubrics. Each sample pairs a detailed prompt (Markdown) with its corresponding SVG source code, covering animations, 3D scenes, games, and visual effects.
Designed for training and evaluating models on visual code generation — generating complex, interactive SVG artwork from natural language descriptions.
Overview
Item
Details
Samples… See the full description on the dataset page: https://huggingface.co/datasets/obaydata/svg-multimodal-rubrics.arabic_multimodal_text
Arabic Multimodal Text Dataset
This dataset contains Arabic text extracted from public domain books available on Archive.org.
Dataset Details
Language: Arabic
Total Text Samples: 162
Source PDFs: 11 out of 50
Format: JSONL
Structure
Each line in the JSONL file contains:
{
"source": "URL of the original PDF",
"title": "Title of the book",
"text": "Extracted Arabic text"
}
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Yzineb/arabic_multimodal_text.