Dataset: compguesswhat


Dataset Card for "compguesswhat"

Table of Contents

Dataset Description

Dataset Summary

    CompGuessWhat?! is an instance of a multi-task framework for evaluating the quality of learned neural representations,
    in particular concerning attribute grounding. Use this dataset if you want to use the set of games whose reference
    scene is an image in VisualGenome. Visit the website for more details: https://compguesswhat.github.io

Supported Tasks

More Information Needed

Languages

More Information Needed

Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

compguesswhat-original

  • Size of downloaded dataset files: 102.24 MB
  • Size of the generated dataset: 166.29 MB
  • Total amount of disk used: 268.53 MB

An example of 'validation' looks as follows.

This example was too long and was cropped:

{
    "id": 2424,
    "image": "{\"coco_url\": \"http://mscoco.org/images/270512\", \"file_name\": \"COCO_train2014_000000270512.jpg\", \"flickr_url\": \"http://farm6.stat...",
    "objects": "{\"area\": [1723.5133056640625, 4838.5361328125, 287.44476318359375, 44918.7109375, 3688.09375, 522.1935424804688], \"bbox\": [[5.61...",
    "qas": {
        "answer": ["Yes", "No", "No", "Yes"],
        "id": [4983, 4996, 5006, 5017],
        "question": ["Is it in the foreground?", "Does it have wings?", "Is it a person?", "Is it a vehicle?"]
    },
    "status": "success",
    "target_id": 1197044,
    "timestamp": "2016-07-08 15:07:38"
}

compguesswhat-zero_shot

  • Size of downloaded dataset files: 4.62 MB
  • Size of the generated dataset: 92.26 MB
  • Total amount of disk used: 96.88 MB

An example of 'nd_valid' looks as follows.

This example was too long and was cropped:

{
    "id": 0,
    "image": {
        "coco_url": "https://s3.amazonaws.com/nocaps/val/004e21eb2e686f40.jpg",
        "date_captured": "2018-11-06 11:04:33",
        "file_name": "004e21eb2e686f40.jpg",
        "height": 1024,
        "id": 6,
        "license": 0,
        "open_images_id": "004e21eb2e686f40",
        "width": 768
    },
    "objects": "{\"IsOccluded\": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], \"IsTruncated\": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], \"area\": [3...",
    "status": "incomplete",
    "target_id": "004e21eb2e686f40_30"
}

Data Fields

The data fields are the same among all splits.

compguesswhat-original

  • id: a int32 feature.
  • target_id: a int32 feature.
  • timestamp: a string feature.
  • status: a string feature.
  • id: a int32 feature.
  • file_name: a string feature.
  • flickr_url: a string feature.
  • coco_url: a string feature.
  • height: a int32 feature.
  • width: a int32 feature.
  • width: a int32 feature.
  • height: a int32 feature.
  • url: a string feature.
  • coco_id: a int32 feature.
  • flickr_id: a string feature.
  • image_id: a string feature.
  • qas: a dictionary feature containing:
    • question: a string feature.
    • answer: a string feature.
    • id: a int32 feature.
  • objects: a dictionary feature containing:
    • id: a int32 feature.
    • bbox: a list of float32 features.
    • category: a string feature.
    • area: a float32 feature.
    • category_id: a int32 feature.
    • segment: a dictionary feature containing:
      • feature: a float32 feature.

compguesswhat-zero_shot

  • id: a int32 feature.
  • target_id: a string feature.
  • status: a string feature.
  • id: a int32 feature.
  • file_name: a string feature.
  • coco_url: a string feature.
  • height: a int32 feature.
  • width: a int32 feature.
  • license: a int32 feature.
  • open_images_id: a string feature.
  • date_captured: a string feature.
  • objects: a dictionary feature containing:
    • id: a string feature.
    • bbox: a list of float32 features.
    • category: a string feature.
    • area: a float32 feature.
    • category_id: a int32 feature.
    • IsOccluded: a int32 feature.
    • IsTruncated: a int32 feature.
    • segment: a dictionary feature containing:
      • MaskPath: a string feature.
      • LabelName: a string feature.
      • BoxID: a string feature.
      • BoxXMin: a string feature.
      • BoxXMax: a string feature.
      • BoxYMin: a string feature.
      • BoxYMax: a string feature.
      • PredictedIoU: a string feature.
      • Clicks: a string feature.

Data Splits Sample Size

compguesswhat-original

train validation test
compguesswhat-original 46341 9738 9621

compguesswhat-zero_shot

nd_valid od_valid nd_test od_test
compguesswhat-zero_shot 5343 5372 13836 13300

Dataset Creation

Curation Rationale

More Information Needed

Source Data

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Annotations

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

        @inproceedings{suglia2020compguesswhat,
          title={CompGuessWhat?!: a Multi-task Evaluation Framework for Grounded Language Learning},
          author={Suglia, Alessandro, Konstas, Ioannis, Vanzo, Andrea, Bastianelli, Emanuele, Desmond Elliott, Stella Frank and Oliver Lemon},
          booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
          year={2020}
        }

Models trained or fine-tuned on compguesswhat

None yet