task_categories:visual-question-answering task_ids:visual-question-answering annotations_creators:machine-generated language_creators:found multilinguality:monolingual size_categories:100K<n<1M source_datasets:extended|other-guesswhat language:en license:unknown region:us
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
        @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}
        }
---
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-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [https://compguesswhat.github.io/](https://compguesswhat.github.io/)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Languages

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## 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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 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](https://github.com/thomwolf), [@aleSuglia](https://github.com/aleSuglia), [@lhoestq](https://github.com/lhoestq) for adding this dataset.