datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
loong
Additional Information
Project Loong Dataset
This dataset is part of Project Loong, a collaborative effort to explore whether reasoning-capable models can bootstrap themselves from small, high-quality seed datasets.
Dataset Description
This comprehensive collection contains problems across multiple domains, each split is determined by the domain.
Available Domains:
Advanced Math
Advanced mathematics problems including calculus, algebra… See the full description on the dataset page: https://huggingface.co/datasets/camel-ai/loong.OWL-SFT
OWL SFT (Planner) Dataset
Dataset Summary
OWL SFT is a supervised fine‑tuning dataset designed for training the planner agent in the Optimized Workforce Learning (OWL) framework – a system for multi‑agent assistance in real‑world task automation.
The dataset contains 1,564 multi‑turn conversations, focusing on task decomposition, sequencing, and coordination skills that are crucial for high‑level planning.
Languages
All conversation turns are written in… See the full description on the dataset page: https://huggingface.co/datasets/camel-ai/OWL-SFT.Verified-Camel
This is the Official Verified Camel dataset. Just over 100 verified examples, and many more coming soon!
Comprised of over 100 highly filtered and curated examples from specific portions of CamelAI stem datasets.
These examples are verified to be true by experts in the specific related field, with atleast a bachelors degree in the subject.
Roughly 30-40% of the originally curated data from CamelAI was found to have atleast minor errors and/or incoherent questions(as determined… See the full description on the dataset page: https://huggingface.co/datasets/LDJnr/Verified-Camel.Verified-Camel-KO
Verified-Camel-KO
이 데이터셋은 https://huggingface.co/datasets/LDJnr/Verified-Camel 의 한국어 번역입니다.
GPT4 Turbo로 번역한 뒤, 약간의 수정을 거쳤습니다.
이 데이터에 대한 방침은 전부 원 저자의 방침을 따릅니다.
This is the Official Verified Camel dataset. Just over 100 verified examples, and many more coming soon!
Comprised of over 100 highly filtered and curated examples from specific portions of CamelAI stem datasets.
These examples are verified to be true by experts in the specific related field, with atleast a… See the full description on the dataset page: https://huggingface.co/datasets/kuotient/Verified-Camel-KO.Verified-Camel-zhThis is a direct Chinese translation using GPT4 of the Verified-Camel dataset. I hope you find it useful.
https://huggingface.co/datasets/LDJnr/Verified-Camel
Citation:
@article{daniele2023amplify-instruct,
title={Amplify-Instruct: Synthetically Generated Diverse Multi-turn Conversations for Effecient LLM Training.},
author={Daniele, Luigi and Suphavadeeprasit},
journal={arXiv preprint arXiv:(comming soon)},
year={2023}
}
Camel-Milk-in-Gastrointestinal-Therapy
Dataset Card: Qualitative Data Extraction Matrix - Camel Milk in Gastrointestinal Pathology
Dataset Description
This dataset provides a Qualitative Data Extraction Matrix derived from the comprehensive 2026 clinical research report: "Advanced Therapeutic Applications of Camel Milk in Gastrointestinal Pathology: Microbiome Modulation, Mucosal Regeneration, and the Critical Role of Processing Technologies".
The tabular data reflects categorized molecular outcomes… See the full description on the dataset page: https://huggingface.co/datasets/camelway/Camel-Milk-in-Gastrointestinal-Therapy.cameldatacamel_qa_dataseta-env-seed2synth-synth
SETA Env Seed-to-Synth Synthetic Data
Synthetically generated terminal agent tasks derived from the SETA seed dataset. Each task contains a Docker-based environment, an instruction, a reference solution, and automated tests.
Dataset Structure
{source}/
├── summary.csv # task index with status, verdict, and timing info
└── {task_id}/
├── task.toml # task metadata (id, source, category, title)
├── instruction.md # natural language task… See the full description on the dataset page: https://huggingface.co/datasets/camel-ai/seta-env-seed2synth-synth.ShareGPT4Video
ShareGPT4Video 4.8M Dataset Card
Dataset details
Dataset type:
ShareGPT4Video Captions 4.8M is a set of GPT4-Vision-powered multi-modal captions data of videos.
It is constructed to enhance modality alignment and fine-grained visual concept perception in Large Video-Language Models (LVLMs) and Text-to-Video Models (T2VMs). This advancement aims to bring LVLMs and T2VMs towards the capabilities of GPT4V and Sora.
sharegpt4video_40k.jsonl is generated by GPT4-Vision… See the full description on the dataset page: https://huggingface.co/datasets/Camellia054/ShareGPT4Video.ShareGPT4V
News
[2024/5/8] We released ShareGPT4Video, a large-scale video-caption dataset, with 40K captions annotated by GPT4V and 4.8M captions annotated by our ShareCaptioner-Video. The total videos last with 300 hours and 3000 hours separately!
ShareGPT4V 1.2M Dataset Card
Dataset details
Dataset type:
ShareGPT4V Captions 1.2M is a set of GPT4-Vision-powered multi-modal captions data.
It is constructed to enhance modality alignment and fine-grained visual concept… See the full description on the dataset page: https://huggingface.co/datasets/Camellia054/ShareGPT4V.seta-env-seed2synth-seed
SETA Env Seed-to-Synth Seed Data
Seed data collected from technical Q&A platforms and programming communities, used as source material for the SETA (Synthetic Environment Terminal Agent) data synthesis pipeline.
Dataset Structure
The dataset is organised by source, then by seed ID:
{source}/
└── {seed_id}/
├── main.json # primary Q&A pair with metadata
├── related_1.json # related question/post #1
├── related_2.json # related question/post… See the full description on the dataset page: https://huggingface.co/datasets/camel-ai/seta-env-seed2synth-seed.