Datasets:

embedding-data
/

coco_captions_quintets

Tasks:

Sentence Similarity

Modalities:

Formats:

Sub-tasks:

semantic-similarity-classification

Languages:

Size:

ArXiv:

Libraries:

License:

Dataset card Viewer Files Files and versions Community

espejelomar commited on Aug 2, 2022

Commit

c51ee02

•

1 Parent(s): d8c38cd

Update README.md

Files changed (1) hide show

README.md +1 -11

README.md CHANGED Viewed

@@ -45,17 +45,7 @@ pretty_name: coco_captions
 ### Dataset Summary
-COCO is a large-scale object detection, segmentation, and captioning dataset. COCO has several features:
-- Object segmentation
-- Recognition in context
-- Superpixel stuff segmentation
-- 330K images (>200K labeled)
-- 1.5 million object instances
-- 80 object categories
-- 91 stuff categories
-- 5 captions per image
-- 250,000 people with keypoints
 Disclaimer: The team releasing COCO did not upload the dataset to the Hub and did not write a dataset card.
 These steps were done by the Hugging Face team.

 ### Dataset Summary
+COCO is a large-scale object detection, segmentation, and captioning dataset. This repo contains five captions per image; useful for sentence similarity tasks.
 Disclaimer: The team releasing COCO did not upload the dataset to the Hub and did not write a dataset card.
 These steps were done by the Hugging Face team.