datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bongard-rwr-plus
Bongard RWR+
Bongard Problems (BPs) provide a challenging testbed for abstract visual reasoning (AVR), requiring models to identify visual concepts from just a few examples and describe them in natural language.
Early BP benchmarks featured synthetic black-and-white drawings, which might not fully capture the complexity of real-world scenes.
Subsequent BP datasets employed real-world images, albeit
the represented concepts are identifiable from high-level image features, reducing… See the full description on the dataset page: https://huggingface.co/datasets/bongard-rwr-plus/bongard-rwr-plus.bongard-rwr-plus-l2
Bongard RWR+/L2
This is a variant of the dataset featuring two images per side. The original dataset, which includes six images per side, can be found here.
Bongard Problems (BPs) provide a challenging testbed for abstract visual reasoning (AVR), requiring models to identify visual concepts from just a few examples and describe them in natural language.
Early BP benchmarks featured synthetic black-and-white drawings, which might not fully capture the complexity of real-world scenes.… See the full description on the dataset page: https://huggingface.co/datasets/spawlonka/bongard-rwr-plus-l2.bongard-rwr-plus
Bongard RWR+
Bongard Problems (BPs) provide a challenging testbed for abstract visual reasoning (AVR), requiring models to identify visual concepts from just a few examples and describe them in natural language.
Early BP benchmarks featured synthetic black-and-white drawings, which might not fully capture the complexity of real-world scenes.
Subsequent BP datasets employed real-world images, albeit
%with real-world
the represented concepts are identifiable from high-level image… See the full description on the dataset page: https://huggingface.co/datasets/spawlonka/bongard-rwr-plus.bongard-rwr-plus-l6
Bongard RWR+/L6
This is a variant of the dataset that features six images per side and reduced image diversity across instances. The original dataset is available here.
Bongard Problems (BPs) provide a challenging testbed for abstract visual reasoning (AVR), requiring models to identify visual concepts from just a few examples and describe them in natural language.
Early BP benchmarks featured synthetic black-and-white drawings, which might not fully capture the complexity of… See the full description on the dataset page: https://huggingface.co/datasets/spawlonka/bongard-rwr-plus-l6.bongard-rwr-plus-l4
Bongard RWR+/L4
This is a variant of the dataset featuring four images per side. The original dataset, which includes six images per side, can be found here.
Bongard Problems (BPs) provide a challenging testbed for abstract visual reasoning (AVR), requiring models to identify visual concepts from just a few examples and describe them in natural language.
Early BP benchmarks featured synthetic black-and-white drawings, which might not fully capture the complexity of real-world… See the full description on the dataset page: https://huggingface.co/datasets/spawlonka/bongard-rwr-plus-l4.bongard-rwr-plus-gs
Bongard RWR+/GS
This is a variant of the dataset that consists of greyscale images. The original dataset is available here.
Bongard Problems (BPs) provide a challenging testbed for abstract visual reasoning (AVR), requiring models to identify visual concepts from just a few examples and describe them in natural language.
Early BP benchmarks featured synthetic black-and-white drawings, which might not fully capture the complexity of real-world scenes.
Subsequent BP datasets employed… See the full description on the dataset page: https://huggingface.co/datasets/spawlonka/bongard-rwr-plus-gs.RWFS
scamai-deepfake-detector-dataset
This repository contains the dataset used in the research paper 'Do Deepfake Detectors Work in Reality?', done by Scam AI.
Real-World Faceswap Dataset (RWFS)
Overview
This repository contains the Real-World Faceswap Dataset (RWFS) used in our research paper "Do Deepfake Detectors Work in Reality?". RWFS is the first dataset specifically designed to reflect real-world deepfakes as they appear in the wild, rather than in… See the full description on the dataset page: https://huggingface.co/datasets/Scam-AI/RWFS.bongard-rwr-plus-gs
Bongard RWR+/GS
This is a variant of the dataset that consists of greyscale images. The original dataset is available here.
Bongard Problems (BPs) provide a challenging testbed for abstract visual reasoning (AVR), requiring models to identify visual concepts from just a few examples and describe them in natural language.
Early BP benchmarks featured synthetic black-and-white drawings, which might not fully capture the complexity of real-world scenes.
Subsequent BP datasets employed… See the full description on the dataset page: https://huggingface.co/datasets/bongard-rwr-plus/bongard-rwr-plus-gs.bongard-rwr-plus-l5
Bongard RWR+/L5
This is a variant of the dataset featuring five images per side. The original dataset, which includes six images per side, can be found here.
Bongard Problems (BPs) provide a challenging testbed for abstract visual reasoning (AVR), requiring models to identify visual concepts from just a few examples and describe them in natural language.
Early BP benchmarks featured synthetic black-and-white drawings, which might not fully capture the complexity of real-world… See the full description on the dataset page: https://huggingface.co/datasets/bongard-rwr-plus/bongard-rwr-plus-l5.bongard-rwr-plus-l3
Bongard RWR+/L3
This is a variant of the dataset featuring three images per side. The original dataset, which includes six images per side, can be found here.
Bongard Problems (BPs) provide a challenging testbed for abstract visual reasoning (AVR), requiring models to identify visual concepts from just a few examples and describe them in natural language.
Early BP benchmarks featured synthetic black-and-white drawings, which might not fully capture the complexity of real-world… See the full description on the dataset page: https://huggingface.co/datasets/spawlonka/bongard-rwr-plus-l3.bongard-rwr-plus-l3
Bongard RWR+/L3
This is a variant of the dataset featuring three images per side. The original dataset, which includes six images per side, can be found here.
Bongard Problems (BPs) provide a challenging testbed for abstract visual reasoning (AVR), requiring models to identify visual concepts from just a few examples and describe them in natural language.
Early BP benchmarks featured synthetic black-and-white drawings, which might not fully capture the complexity of real-world… See the full description on the dataset page: https://huggingface.co/datasets/bongard-rwr-plus/bongard-rwr-plus-l3.bongard-rwr-plus-l5
Bongard RWR+/L5
This is a variant of the dataset featuring five images per side. The original dataset, which includes six images per side, can be found here.
Bongard Problems (BPs) provide a challenging testbed for abstract visual reasoning (AVR), requiring models to identify visual concepts from just a few examples and describe them in natural language.
Early BP benchmarks featured synthetic black-and-white drawings, which might not fully capture the complexity of real-world… See the full description on the dataset page: https://huggingface.co/datasets/spawlonka/bongard-rwr-plus-l5.bongard-rwr-plus-l2
Bongard RWR+/L2
This is a variant of the dataset featuring two images per side. The original dataset, which includes six images per side, can be found here.
Bongard Problems (BPs) provide a challenging testbed for abstract visual reasoning (AVR), requiring models to identify visual concepts from just a few examples and describe them in natural language.
Early BP benchmarks featured synthetic black-and-white drawings, which might not fully capture the complexity of real-world scenes.… See the full description on the dataset page: https://huggingface.co/datasets/bongard-rwr-plus/bongard-rwr-plus-l2.bongard-rwr-plus-l6
Bongard RWR+/L6
This is a variant of the dataset that features six images per side and reduced image diversity across instances. The original dataset is available here.
Bongard Problems (BPs) provide a challenging testbed for abstract visual reasoning (AVR), requiring models to identify visual concepts from just a few examples and describe them in natural language.
Early BP benchmarks featured synthetic black-and-white drawings, which might not fully capture the complexity of… See the full description on the dataset page: https://huggingface.co/datasets/bongard-rwr-plus/bongard-rwr-plus-l6.bongard-rwr-plus-l4
Bongard RWR+/L4
This is a variant of the dataset featuring four images per side. The original dataset, which includes six images per side, can be found here.
Bongard Problems (BPs) provide a challenging testbed for abstract visual reasoning (AVR), requiring models to identify visual concepts from just a few examples and describe them in natural language.
Early BP benchmarks featured synthetic black-and-white drawings, which might not fully capture the complexity of real-world… See the full description on the dataset page: https://huggingface.co/datasets/bongard-rwr-plus/bongard-rwr-plus-l4.