README.md

metadata

annotations_creators:
  - machine-generated
language:
  - en
language_creators:
  - found
license:
  - unknown
multilinguality:
  - monolingual
pretty_name: CompGuessWhat?!
size_categories:
  - 100K<n<1M
source_datasets:
  - extended|other-guesswhat
task_categories:
  - visual-question-answering
task_ids:
  - visual-question-answering
paperswithcode_id: compguesswhat
dataset_info:
  - config_name: compguesswhat-original
    features:
      - name: id
        dtype: int32
      - name: target_id
        dtype: int32
      - name: timestamp
        dtype: string
      - name: status
        dtype: string
      - name: image
        struct:
          - name: id
            dtype: int32
          - name: file_name
            dtype: string
          - name: flickr_url
            dtype: string
          - name: coco_url
            dtype: string
          - name: height
            dtype: int32
          - name: width
            dtype: int32
          - name: visual_genome
            struct:
              - name: width
                dtype: int32
              - name: height
                dtype: int32
              - name: url
                dtype: string
              - name: coco_id
                dtype: int32
              - name: flickr_id
                dtype: string
              - name: image_id
                dtype: string
      - name: qas
        sequence:
          - name: question
            dtype: string
          - name: answer
            dtype: string
          - name: id
            dtype: int32
      - name: objects
        sequence:
          - name: id
            dtype: int32
          - name: bbox
            sequence: float32
            length: 4
          - name: category
            dtype: string
          - name: area
            dtype: float32
          - name: category_id
            dtype: int32
          - name: segment
            sequence:
              sequence: float32
    splits:
      - name: train
        num_bytes: 126548689
        num_examples: 46341
      - name: validation
        num_bytes: 26055261
        num_examples: 9738
      - name: test
        num_bytes: 25981593
        num_examples: 9621
    download_size: 107201655
    dataset_size: 178585543
  - config_name: compguesswhat-zero_shot
    features:
      - name: id
        dtype: int32
      - name: target_id
        dtype: string
      - name: status
        dtype: string
      - name: image
        struct:
          - name: id
            dtype: int32
          - name: file_name
            dtype: string
          - name: coco_url
            dtype: string
          - name: height
            dtype: int32
          - name: width
            dtype: int32
          - name: license
            dtype: int32
          - name: open_images_id
            dtype: string
          - name: date_captured
            dtype: string
      - name: objects
        sequence:
          - name: id
            dtype: string
          - name: bbox
            sequence: float32
            length: 4
          - name: category
            dtype: string
          - name: area
            dtype: float32
          - name: category_id
            dtype: int32
          - name: IsOccluded
            dtype: int32
          - name: IsTruncated
            dtype: int32
          - name: segment
            sequence:
              - name: MaskPath
                dtype: string
              - name: LabelName
                dtype: string
              - name: BoxID
                dtype: string
              - name: BoxXMin
                dtype: string
              - name: BoxXMax
                dtype: string
              - name: BoxYMin
                dtype: string
              - name: BoxYMax
                dtype: string
              - name: PredictedIoU
                dtype: string
              - name: Clicks
                dtype: string
    splits:
      - name: nd_valid
        num_bytes: 13557059
        num_examples: 5343
      - name: nd_test
        num_bytes: 36352201
        num_examples: 13836
      - name: od_valid
        num_bytes: 14093233
        num_examples: 5372
      - name: od_test
        num_bytes: 33049755
        num_examples: 13300
    download_size: 4845966
    dataset_size: 97052248

Dataset Card for "compguesswhat"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://compguesswhat.github.io/
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 112.05 MB
• Size of the generated dataset: 271.11 MB
• Total amount of disk used: 383.16 MB

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 and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

compguesswhat-original

• Size of downloaded dataset files: 107.21 MB
• Size of the generated dataset: 174.37 MB
• Total amount of disk used: 281.57 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: 4.84 MB
• Size of the generated dataset: 96.74 MB
• Total amount of disk used: 101.59 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

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

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

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}
        }

Contributions

Thanks to @thomwolf, @aleSuglia, @lhoestq for adding this dataset.