datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bone_marrow_cell_dataset
About This Dataset
Bone marrow biopsy is procedure applied to collect and examine bone marrow — the spongy tissue inside some of your larger bones.
This biopsy can show whether your bone marrow is healthy and making normal amounts of blood cells. Doctors use these procedures to diagnose and monitor blood and marrow diseases, cancers, as well as fevers of unknown origin.
The dataset contains a collection of over 170,000 de-identified, expert-annotated cells from the bone marrow… See the full description on the dataset page: https://huggingface.co/datasets/ekim15/bone_marrow_cell_dataset.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.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-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-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-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.