datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
imagenet-r
ImageNet-R
This repo is made to facilitate the evaluation of various pretraining models. It's constructed from the source file provided by official implementation.
Usage
from datasets import load_dataset
dataset = load_dataset('axiong/imagenet-r')
Dataset Summary
ImageNet-R(endition) contains art, cartoons, deviantart, graffiti, embroidery, graphics, origami, paintings, patterns, plastic objects, plush objects, sculptures, sketches, tattoos, toys, and video… See the full description on the dataset page: https://huggingface.co/datasets/axiong/imagenet-r.pmc_llama_instructionsThis repo provides part of the dataset used for PMC-LLaMA-13B's instruction tuning.
Data
Size
Link
ChatDoctor
100K
https://www.yunxiangli.top/ChatDoctor/
MedQA
10.2K
https://huggingface.co/datasets/GBaker/MedQA-USMLE-4-options
MedMCQA
183K
https://huggingface.co/datasets/medmcqa
PubmedQA
211K
https://huggingface.co/datasets/pubmed_qa
LiveQA
635
https://huggingface.co/datasets/truehealth/liveqa
MedicationQA
690
https://huggingface.co/datasets/truehealth/medicationqa
UMLS… See the full description on the dataset page: https://huggingface.co/datasets/axiong/pmc_llama_instructions.pmc_oa_demoFoundation models trained on large-scale dataset gain a recent surge in CV and NLP. In contrast, development in biomedical domain lags far behind due to data scarcity.
To address this issue, we build and release PMC-OA, a biomedical dataset with 1.6M image-caption pairs collected from PubMedCentral's OpenAccess subset, which is 8 times larger than before.
PMC-OA covers diverse modalities or diseases, with majority of the image-caption samples aligned at finer-grained level, i.e., subfigure and subcaption.
While pretraining a CLIP-style model on PMC-OA, our model named PMC-CLIP achieves state-of-the-art results on various downstream tasks,
including image-text retrieval on ROCO, MedMNIST image classification, Medical VQA, i.e. +8.1% R@10 on image-text retrieval, +3.9% accuracy on image classification.ThinkSet-PTBR
🧠 ThinkSet-PTBR
A synthetic dataset for training small language models to simulate structured reasoning in Portuguese.
🚀 Overview
ThinkSet-PTBR is a synthetic dataset designed to train and evaluate reasoning behavior in small-scale language models.
It focuses on structured reasoning patterns rather than raw knowledge, making it especially suitable for:
Small models (1M–50M parameters)
CPU-based training environments
Research on reasoning simulation
💡… See the full description on the dataset page: https://huggingface.co/datasets/AxionLab-Co/ThinkSet-PTBR.Axion-2kWith think tokens for testing, contains 2000 samples.
pokemon-blip-captions
Dataset Card for Pokémon BLIP captions
Dataset used to train Pokémon text to image model
BLIP generated captions for Pokémon images from Few Shot Pokémon dataset introduced by Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis (FastGAN). Original images were obtained from FastGAN-pytorch and captioned with the pre-trained BLIP model.
For each row the dataset contains image and text keys. image is a varying size PIL jpeg, and text is the… See the full description on the dataset page: https://huggingface.co/datasets/AxionLab-official/pokemon-blip-captions.Reasoning-MiniGPT-brazilian-portuguesegithub-issuesAxion-AThis dataset was generated synthetically using prompted Gemini 2.5 Pro, Gemini 2.5 Flash, and Qwen3-235B-A22B-2507.
Axion-20kWith think tokens for SFT, contains 20k samples
my-awesome-dataset
Dataset Card for Demo
Dataset Summary
This is a demo dataset with two files train.csv and test.csv.
Load it by:
from datasets import load_dataset
data_files = {"train": "train.csv", "test": "test.csv"}
demo = load_dataset("stevhliu/demo", data_files=data_files)
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information… See the full description on the dataset page: https://huggingface.co/datasets/Axion004/my-awesome-dataset.Axion-15k15k samples with think token for GRPO : 3k steps