flickr8k / README.md
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metadata
language:
  - en
license: cc0-1.0
task_categories:
  - image-to-text
  - text-generation
pretty_name: Flickr8k Captions With Splits
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: train
        path: train/**
      - split: dev
        path: dev/**
      - split: test
        path: test/**
dataset_info:
  features:
    - name: image
      dtype: image
    - name: file_name
      dtype: string
    - name: split
      dtype: string
    - name: caption_0
      dtype: string
    - name: caption_1
      dtype: string
    - name: caption_2
      dtype: string
    - name: caption_3
      dtype: string
    - name: caption_4
      dtype: string

Flickr8k Captions With Splits

This dataset repackages the local Flickr8k image-caption corpus into a Hugging Face imagefolder layout with per-split metadata.csv files.

Structure

  • train/, dev/, and test/ each contain image files and a metadata.csv.
  • Each row represents one image with five captions.
  • The image feature is inferred from file_name in each metadata.csv.

Columns

  • image: image file loaded by the Hugging Face Datasets library
  • file_name: image filename stored as a string and used by imagefolder to map rows to image files
  • split: one of train, dev, test
  • caption_0 to caption_4: the five raw Flickr8k captions for the image

License

  • CC0: Public Domain

Counts

  • Total included images: 8000
  • Train images: 6000
  • Dev images: 1000
  • Test images: 1000
  • Excluded caption entries without split or image file: 92

Source Mapping

  • Split assignments come from Flickr_8k.trainImages.txt, Flickr_8k.devImages.txt, and Flickr_8k.testImages.txt.
  • Captions come from Flickr8k.token.txt, using #0 through #4 as caption_0 through caption_4.

Notes

  • The original caption file contains 8,092 image-caption groups.
  • Only the 8,000 images with explicit split assignments are included in this Hugging Face-ready dataset.
  • Excluded rows are recorded in excluded_rows.csv.
  • Missing local image files are recorded in missing_image_rows.csv.

Loading Example

from datasets import load_dataset

dataset = load_dataset("intro/flickr8k")
print(dataset["train"][0])

Citation

If you use this dataset, please cite:

@article{hodosh2013framing,
  title={Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics},
  author={Hodosh, Micah and Young, Peter and Hockenmaier, Julia},
  journal={Journal of Artificial Intelligence Research},
  volume={47},
  pages={853--899},
  year={2013},
  url={http://www.jair.org/papers/paper3994.html}
}