datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cocococonot
🥥 CoCoNot: Contextually, Comply Not! Dataset Card
Dataset Details
Dataset Description
Chat-based language models are designed to be helpful, yet they should not comply with every user request.
While most existing work primarily focuses on refusal of "unsafe" queries, we posit that the scope of noncompliance should be broadened. We introduce a comprehensive taxonomy of contextual noncompliance describing when and how models should not comply with user… See the full description on the dataset page: https://huggingface.co/datasets/allenai/coconot.coco-karpathy
Dataset Card for "yerevann/coco-karpathy"
The Karpathy split of COCO for image captioning.
COCO-Caption
Large-scale Multi-modality Models Evaluation Suite
Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval
🏠 Homepage | 📚 Documentation | 🤗 Huggingface Datasets
This Dataset
This is a formatted version of COCO-Caption-2014-version. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@misc{lin2015microsoft,
title={Microsoft COCO: Common Objects in Context}… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/COCO-Caption.coco_captions
Dataset Card for "coco_captions"
More Information needed
COCO-Caption2017
Large-scale Multi-modality Models Evaluation Suite
Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval
🏠 Homepage | 📚 Documentation | 🤗 Huggingface Datasets
This Dataset
This is a formatted version of COCO-Caption-2017-version. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@misc{lin2015microsoft,
title={Microsoft COCO: Common Objects in Context}… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/COCO-Caption2017.laion-coco-nllb
LAION COCO translated into 200 languages
This dataset contains the samples of the LAION-COCO dataset translated to 200 languages using
the largest NLLB-200 model (3.3B parameters).
Fields description
id - unique ID of the image.
url - original URL of the image from the LAION-COCO dataset.
eng_caption - original English caption from the LAION-COCO dataset.
captions - a list of captions translated to the languages from the Flores 200 dataset. Every item in the list is a… See the full description on the dataset page: https://huggingface.co/datasets/visheratin/laion-coco-nllb.coco-30-val-2014
Dataset Card for "coco-30-val-2014"
This is 30k randomly sampled image-captioned pairs from the COCO 2014 val split. This is useful for image generation benchmarks (FID, CLIPScore, etc.).
Refer to the gist to know how the dataset was created: https://gist.github.com/sayakpaul/0c4435a1df6eb6193f824f9198cabaa5.
MS-COCOcoco2017
coco2017
Image-text pairs from MS COCO2017.
Data origin
Data originates from cocodataset.org
While coco-karpathy uses a dense format (with several sentences and sendids per row), coco-karpathy-long uses a long format with one sentence (aka caption) and sendid per row. coco-karpathy-long uses the first five sentences and therefore is five times as long as coco-karpathy.
phiyodr/coco2017: One row corresponds one image with several sentences.
phiyodr/coco2017-long: One row… See the full description on the dataset page: https://huggingface.co/datasets/phiyodr/coco2017.COCO2014-Images
Dataset Card for "COCO2014-Images"
More Information needed
Captioned_COCOStuffCOCO_captions_train
Dataset Card for "COCO_captions_train"
More Information needed
COCOStuff164K
Dataset Card for "COCOStuff164K"
More Information needed
COCO_2014coco2017
FineCoco — COCO 2017 detection in the unified detection format
Source: official COCO 2017 train/val zips from images.cocodataset.org.
Converted by the finedet project into a unified, AutoTrain-compatible layout:
image / width / height / objects{bbox, category} with COCO-format
[x, y, w, h] boxes in absolute pixels. Boxes are clipped to the image and
empty boxes dropped; category ids are densified per the table below.
Box format
objects.bbox follows the COCO… See the full description on the dataset page: https://huggingface.co/datasets/finedet/coco2017.coco_val2014_blip2_processed
Dataset Card for "coco_val2014_blip2_processed"
More Information needed
COCO_captions_validation
Dataset Card for "COCO_captions_validation"
More Information needed
coco-2014-instance
Dataset Card for "coco-2014-instance"
More Information needed
COCO-Wholebody-annotatedVG150-coco-format
VG150 — Visual Genome 150 (COCO format)
This dataset is the standard VG150 split of
Visual Genome
(Krishna et al., 2017), the most widely used benchmark for Scene Graph Generation,
reformatted in standard COCO-JSON format. VG150 contains the top 150 object categories
and 50 relations from the original Visual Genome dataset, selected by frequency in the
Scene Graph Generation by Iterative Message Passing paper.
This version in COCO format was produced as part of the… See the full description on the dataset page: https://huggingface.co/datasets/maelic/VG150-coco-format.COCO-inpaintedCoCount-train-2coco-paligemmaprocessed_train_coco
Dataset Card for "processed_train_coco"
More Information needed
COCO-2017
MS COCO 2017
The complete COCO 2017 release — all four image splits and every annotation family — in Parquet.
from datasets import load_dataset
# annotations only (~6 MB) -- no image bytes
ann = load_dataset("srishti-kaushik/COCO-2017", "instances_val2017", split="train")
# images
img = load_dataset("srishti-kaushik/COCO-2017", "images_val2017", split="train")
img[0]["image"] # PIL.Image
# stream, instead of downloading 19 GB
train =… See the full description on the dataset page: https://huggingface.co/datasets/srishti-kaushik/COCO-2017.llama4-maverick-coco-captionscoco-2017-instance
Dataset Card for "coco-2017-instance"
More Information needed
sd2.1_cocococo-captions-pt-br
🎉 COCO Captions Dataset Translation for Portuguese Image Captioning
💾 Dataset Summary
COCO Captions Portuguese Translation, a multimodal dataset for Portuguese image captioning with 123,287 images, each accompanied by five descriptive captions that have been
generated by human annotators for every individual image. The original English captions were rendered into Portuguese
through the utilization of the Google Translator API.
🧑💻 Hot to Get… See the full description on the dataset page: https://huggingface.co/datasets/laicsiifes/coco-captions-pt-br.
