metadata

language:
  - en
multilinguality:
  - monolingual
size_categories:
  - 100K<n<1M
task_categories:
  - feature-extraction
  - sentence-similarity
pretty_name: Coco Captions
tags:
  - sentence-transformers
dataset_info:
  config_name: pair
  features:
    - name: caption1
      dtype: string
    - name: caption2
      dtype: string
  splits:
    - name: train
      num_bytes: 46793540
      num_examples: 414010
  download_size: 23935511
  dataset_size: 46793540
configs:
  - config_name: pair
    data_files:
      - split: train
        path: pair/train-*

Dataset Card for Coco Captions

This dataset is a collection of caption pairs given to the same image, collected from the Coco dataset. See Coco for additional information. This dataset can be used directly with Sentence Transformers to train embedding models.

Note that two captions for the same image do not strictly have the same semantic meaning.

Dataset Subsets

`pair` subset

Columns: "caption1", "caption2"
Column types: str, str

Examples:

{
  'caption1': 'A clock that blends in with the wall hangs in a bathroom. ',
  'caption2': 'A very clean and well decorated empty bathroom',
}

Collection strategy: Reading the Coco Captions dataset from embedding-training-data, which has lists of duplicate captions. I've considered all adjacent captions as a positive pair, plus the last and first caption. So, e.g. 5 duplicate captions results in 5 duplicate pairs.
Deduplified: No

Dataset Card for Coco Captions

Dataset Subsets

pair subset

`pair` subset