datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Disaster-Type_Classification_Dataset_for_Automated_Fact-Checking
DTCD-AFC: Disaster-Type Classification Dataset for Automated Fact-Checking
Overview
The DTCD-AFC is a dataset designed for disaster-type classification evaluation for automated fact-checking.
It consists of multimodal social media posts collected based on past natural disasters, each labeled with the disaster type to which its content relates.
The social media posts are sourced from CrisisMMD.
Files
disaster_type_classification_dataset_for_afc.csv: The CSV… See the full description on the dataset page: https://huggingface.co/datasets/o-yas/Disaster-Type_Classification_Dataset_for_Automated_Fact-Checking.autotrain-data-tableros_factibilidad
AutoTrain Dataset for project: tableros_factibilidad
Dataset Description
This dataset has been automatically processed by AutoTrain for project tableros_factibilidad.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<217x409 RGB PIL image>",
"target": 1
},
{
"image": "<311x574 RGB PIL image>",
"target": 2
}]… See the full description on the dataset page: https://huggingface.co/datasets/SebasV/autotrain-data-tableros_factibilidad.