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README.md

@@ -1,432 +0,0 @@
----
-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:** 106.86 MB
-- **Size of the generated dataset:** 258.55 MB
-- **Total amount of disk used:** 365.41 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:** 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
-
-#### 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.

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compguesswhat.py

@@ -1,254 +0,0 @@
-import gzip
-import json
-import os
-
-import datasets
-
-
-class CompguesswhatConfig(datasets.BuilderConfig):
-    """BuilderConfig for CompGuessWhat?!"""
-
-    def __init__(self, data_url, splits, gameplay_scenario, **kwargs):
-        """
-
-        Args:
-            gameplay_scenario: to specify if we want to load original CompGuessWhat?! split ('original') or
-            the zero-shot reference games based on NOCAPS images ('zero_shot')
-            **kwargs: keyword arguments forwarded to super.
-        """
-        super(CompguesswhatConfig, self).__init__(
-            version=datasets.Version("0.2.0", "Second CompGuessWhat?! release"), **kwargs
-        )
-        assert gameplay_scenario in (
-            "original",
-            "zero_shot",
-        ), "Invalid choice for parameter 'gameplay_scenario': {gameplay_scenario}. Valid values are ('original', 'zero_shot')."
-
-        self.gameplay_scenario = gameplay_scenario
-        self.splits = splits
-        self.data_url = data_url
-
-
-class Compguesswhat(datasets.GeneratorBasedBuilder):
-    _CITATION = """\
-        @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}
-        }
-    """
-
-    _DESCRIPTION = """
-        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
-    """
-
-    BUILDER_CONFIGS = [
-        CompguesswhatConfig(
-            name="compguesswhat-original",
-            gameplay_scenario="original",
-            description="CompGuessWhat?! subset of games from the original GuessWhat?! dataset",
-            data_url="https://www.dropbox.com/s/qd9wlydpkpmq8rr/compguesswhat-original.zip?dl=1",
-            splits={
-                "train": "compguesswhat.train.jsonl.gz",
-                "valid": "compguesswhat.valid.jsonl.gz",
-                "test": "compguesswhat.test.jsonl.gz",
-            },
-        ),
-        CompguesswhatConfig(
-            name="compguesswhat-zero_shot",
-            gameplay_scenario="zero_shot",
-            description="CompGuessWhat?! reference set of games for zero-shot evaluation using NOCAPS images",
-            data_url="https://www.dropbox.com/s/f5o2t7aiok7kpcm/compguesswhat-zero_shot.zip?dl=1",
-            splits={
-                "nd_valid": "compguesswhat.nd_valid.jsonl.gz",
-                "nd_test": "compguesswhat.nd_test.jsonl.gz",
-                "od_valid": "compguesswhat.od_valid.jsonl.gz",
-                "od_test": "compguesswhat.od_test.jsonl.gz",
-            },
-        ),
-    ]
-
-    VERSION = datasets.Version("0.2.0")
-
-    def _info(self):
-        if self.config.gameplay_scenario == "original":
-            return datasets.DatasetInfo(
-                # This is the description that will appear on the datasets page.
-                description=self._DESCRIPTION,
-                # datasets.features.FeatureConnectors
-                features=datasets.Features(
-                    {
-                        "id": datasets.Value("int32"),
-                        "target_id": datasets.Value("int32"),
-                        "timestamp": datasets.Value("string"),
-                        "status": datasets.Value("string"),
-                        "image": {
-                            # this is the image ID in GuessWhat?! which corresponds to the MSCOCO id
-                            "id": datasets.Value("int32"),
-                            "file_name": datasets.Value("string"),
-                            "flickr_url": datasets.Value("string"),
-                            "coco_url": datasets.Value("string"),
-                            "height": datasets.Value("int32"),
-                            "width": datasets.Value("int32"),
-                            # this field represents the corresponding image metadata that can be found in VisualGenome
-                            # in the file image_data.json
-                            # We copy it over so that we avoid any confusion or possible wrong URL
-                            # Please use the original image files to resolve photos
-                            "visual_genome": {
-                                "width": datasets.Value("int32"),
-                                "height": datasets.Value("int32"),
-                                "url": datasets.Value("string"),
-                                "coco_id": datasets.Value("int32"),
-                                # this is the actual VisualGenome image ID
-                                # because we can't rely store it as an integer we same it as string
-                                "flickr_id": datasets.Value("string"),
-                                "image_id": datasets.Value("string"),
-                            },
-                        },
-                        "qas": datasets.features.Sequence(
-                            {
-                                "question": datasets.Value("string"),
-                                "answer": datasets.Value("string"),
-                                "id": datasets.Value("int32"),
-                            }
-                        ),
-                        "objects": datasets.features.Sequence(
-                            {
-                                "id": datasets.Value("int32"),
-                                "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
-                                "category": datasets.Value("string"),
-                                "area": datasets.Value("float32"),
-                                "category_id": datasets.Value("int32"),
-                                "segment": datasets.features.Sequence(
-                                    datasets.features.Sequence(datasets.Value("float32"))
-                                ),
-                            }
-                        ),
-                    }
-                ),
-                # If there's a common (input, target) tuple from the features,
-                # specify them here. They'll be used if as_supervised=True in
-                # builder.as_dataset.
-                supervised_keys=None,
-                # Homepage of the dataset for documentation
-                homepage="https://compguesswhat.github.io/",
-                citation=self._CITATION,
-            )
-        elif self.config.gameplay_scenario == "zero_shot":
-            return datasets.DatasetInfo(
-                # This is the description that will appear on the datasets page.
-                description=self._DESCRIPTION,
-                # datasets.features.FeatureConnectors
-                features=datasets.Features(
-                    {
-                        "id": datasets.Value("int32"),
-                        "target_id": datasets.Value("string"),
-                        "status": datasets.Value("string"),
-                        "image": {
-                            "id": datasets.Value("int32"),
-                            "file_name": datasets.Value("string"),
-                            "coco_url": datasets.Value("string"),
-                            "height": datasets.Value("int32"),
-                            "width": datasets.Value("int32"),
-                            "license": datasets.Value("int32"),
-                            "open_images_id": datasets.Value("string"),
-                            "date_captured": datasets.Value("string"),
-                        },
-                        "objects": datasets.features.Sequence(
-                            {
-                                "id": datasets.Value("string"),
-                                "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
-                                "category": datasets.Value("string"),
-                                "area": datasets.Value("float32"),
-                                "category_id": datasets.Value("int32"),
-                                "IsOccluded": datasets.Value("int32"),
-                                "IsTruncated": datasets.Value("int32"),
-                                "segment": datasets.features.Sequence(
-                                    {
-                                        "MaskPath": datasets.Value("string"),
-                                        "LabelName": datasets.Value("string"),
-                                        "BoxID": datasets.Value("string"),
-                                        "BoxXMin": datasets.Value("string"),
-                                        "BoxXMax": datasets.Value("string"),
-                                        "BoxYMin": datasets.Value("string"),
-                                        "BoxYMax": datasets.Value("string"),
-                                        "PredictedIoU": datasets.Value("string"),
-                                        "Clicks": datasets.Value("string"),
-                                    }
-                                ),
-                            }
-                        ),
-                    }
-                ),
-                # If there's a common (input, target) tuple from the features,
-                # specify them here. They'll be used if as_supervised=True in
-                # builder.as_dataset.
-                supervised_keys=None,
-                # Homepage of the dataset for documentation
-                homepage="https://compguesswhat.github.io/",
-                citation=self._CITATION,
-            )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        dl_dir = dl_manager.download_and_extract(self.config.data_url)
-
-        splits_gen = []
-
-        for split_id, split_filename in self.config.splits.items():
-            if self.config.gameplay_scenario == "original":
-                if "train" in split_id:
-                    split_name = datasets.Split.TRAIN
-                elif "valid" in split_id:
-                    split_name = datasets.Split.VALIDATION
-                elif "test" in split_id:
-                    split_name = datasets.Split.TEST
-            else:
-                split_name = datasets.Split(split_id)
-
-            full_split_name = "-".join(["compguesswhat", self.config.gameplay_scenario])
-            splits_gen.append(
-                datasets.SplitGenerator(
-                    name=split_name,
-                    gen_kwargs={
-                        "filepath": os.path.join(
-                            dl_dir,
-                            full_split_name,
-                            self.VERSION.version_str,
-                            split_filename,
-                        )
-                    },
-                )
-            )
-
-        return splits_gen
-
-    def _generate_examples(self, filepath):
-        def _extract_game_tuple(data):
-            data = data.decode("utf-8")
-            game = json.loads(data.strip("\n"))
-
-            # we refactor the data structure a bit to fit with the new version
-            game["target_id"] = game["object_id"]
-            if "object_id" in game:
-                del game["object_id"]
-
-            if "questioner_id" in game:
-                del game["questioner_id"]
-            ###
-
-            if "visual_genome" in game["image"]:
-                # We need to cast it to string so that we avoid issues with int size
-                game["image"]["visual_genome"]["image_id"] = str(game["image"]["visual_genome"]["image_id"])
-                game["image"]["visual_genome"]["flickr_id"] = str(game["image"]["visual_genome"]["flickr_id"])
-
-            return game["id"], game
-
-        """Yields examples."""
-        with open(filepath, "rb") as gzip_file:
-            with gzip.open(gzip_file) as in_file:
-                for data in in_file:
-                    yield _extract_game_tuple(data)

create_dummy_data.py

@@ -1,96 +0,0 @@
-import gzip
-import json
-import logging
-import os
-from argparse import ArgumentParser
-
-
-parser = ArgumentParser()
-parser.add_argument(
-    "-d",
-    "--data_path",
-    type=str,
-    required=True,
-    help="Data path containing the CompGuessWhat?! datasets (files with 'jsonl.gz' extension)",
-)
-parser.add_argument(
-    "--examples",
-    type=int,
-    default=5,
-    help="Number of games to consider in the dummy dataset",
-)
-original_data_files = {
-    "train": "compguesswhat.train.jsonl.gz",
-    "valid": "compguesswhat.valid.jsonl.gz",
-    "test": "compguesswhat.test.jsonl.gz",
-}
-
-zs_data_files = {
-    "nd_valid": "compguesswhat.nd_valid.jsonl.gz",
-    "od_valid": "compguesswhat.od_valid.jsonl.gz",
-    "nd_test": "compguesswhat.nd_test.jsonl.gz",
-    "od_test": "compguesswhat.od_test.jsonl.gz",
-}
-
-COMPGUESSWHAT_ROOT = "datasets/compguesswhat/"
-
-
-def create_dummy_data_for_split(data_path, dataset_name, dataset_version, data_files):
-    full_dataset_name = "-".join(["compguesswhat", dataset_name])
-    dummy_data_path = os.path.join(
-        COMPGUESSWHAT_ROOT,
-        "dummy",
-        full_dataset_name,
-        dataset_version,
-        "dummy_data",
-        full_dataset_name,
-        dataset_version,
-    )
-
-    if not os.path.exists(dummy_data_path):
-        os.makedirs(dummy_data_path)
-
-    for split_name, split_file in data_files.items():
-        logging.info(f"Generating dummy data for split {split_name} (num. examples = {args.examples})")
-
-        split_filepath = os.path.join(data_path, full_dataset_name, dataset_version, split_file)
-        logging.info(f"Reading split file {split_filepath}")
-        with gzip.open(split_filepath) as in_file:
-            dummy_filepath = os.path.join(dummy_data_path, split_file)
-            with gzip.open(dummy_filepath, mode="w") as out_file:
-                for i, line in enumerate(in_file):
-                    if i > args.examples:
-                        break
-
-                    data = json.loads(line.strip())
-                    out_file.write(json.dumps(data).encode("utf-8"))
-                    out_file.write(b"\n")
-
-
-def main(args):
-    # args.data_path is the directory containing the already downloaded dataset files
-    # we assume that the dataset test was successful and we have the file dataset_info.json
-    dataset_info_path = os.path.join(COMPGUESSWHAT_ROOT, "dataset_infos.json")
-
-    if not os.path.exists(dataset_info_path):
-        raise ValueError(
-            "The file 'dataset_info.json' doesn't exists. Make sure that you run the dataset tests via datasets-cli."
-        )
-
-    with open(dataset_info_path, encoding="utf-8") as in_file:
-        dataset_info = json.load(in_file)
-
-    dataset_version = dataset_info["compguesswhat-original"]["version"]["version_str"]
-
-    logging.info(f"Creating dummy data for CompGuessWhat?! {dataset_version}")
-
-    logging.info("Original dataset...")
-    create_dummy_data_for_split(args.data_path, "original", dataset_version, original_data_files)
-
-    logging.info("Zero-shot dataset...")
-    create_dummy_data_for_split(args.data_path, "zero_shot", dataset_version, zs_data_files)
-
-
-if __name__ == "__main__":
-    args = parser.parse_args()
-    main(args)

dataset_infos.json

@@ -1 +0,0 @@
-{"compguesswhat-original": {"description": "\n        CompGuessWhat?! is an instance of a multi-task framework for evaluating the quality of learned neural representations,\n        in particular concerning attribute grounding. Use this dataset if you want to use the set of games whose reference\n        scene is an image in VisualGenome. Visit the website for more details: https://compguesswhat.github.io\n    ", "citation": "        @inproceedings{suglia2020compguesswhat,\n          title={CompGuessWhat?!: a Multi-task Evaluation Framework for Grounded Language Learning},\n          author={Suglia, Alessandro, Konstas, Ioannis, Vanzo, Andrea, Bastianelli, Emanuele, Desmond Elliott, Stella Frank and Oliver Lemon},\n          booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},\n          year={2020}\n        }\n    ", "homepage": "https://compguesswhat.github.io/", "license": "", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "target_id": {"dtype": "int32", "id": null, "_type": "Value"}, "timestamp": {"dtype": "string", "id": null, "_type": "Value"}, "status": {"dtype": "string", "id": null, "_type": "Value"}, "image": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "file_name": {"dtype": "string", "id": null, "_type": "Value"}, "flickr_url": {"dtype": "string", "id": null, "_type": "Value"}, "coco_url": {"dtype": "string", "id": null, "_type": "Value"}, "height": {"dtype": "int32", "id": null, "_type": "Value"}, "width": {"dtype": "int32", "id": null, "_type": "Value"}, "visual_genome": {"width": {"dtype": "int32", "id": null, "_type": "Value"}, "height": {"dtype": "int32", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "coco_id": {"dtype": "int32", "id": null, "_type": "Value"}, "flickr_id": {"dtype": "string", "id": null, "_type": "Value"}, "image_id": {"dtype": "string", "id": null, "_type": "Value"}}}, "qas": {"feature": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "objects": {"feature": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "bbox": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": 4, "id": null, "_type": "Sequence"}, "category": {"dtype": "string", "id": null, "_type": "Value"}, "area": {"dtype": "float32", "id": null, "_type": "Value"}, "category_id": {"dtype": "int32", "id": null, "_type": "Value"}, "segment": {"feature": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "compguesswhat", "config_name": "compguesswhat-original", "version": {"version_str": "0.2.0", "description": "Second CompGuessWhat?! release", "major": 0, "minor": 2, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 126548689, "num_examples": 46341, "dataset_name": "compguesswhat"}, "validation": {"name": "validation", "num_bytes": 26055261, "num_examples": 9738, "dataset_name": "compguesswhat"}, "test": {"name": "test", "num_bytes": 25981593, "num_examples": 9621, "dataset_name": "compguesswhat"}}, "download_checksums": {"https://www.dropbox.com/s/qd9wlydpkpmq8rr/compguesswhat-original.zip?dl=1": {"num_bytes": 107201655, "checksum": "f965b469142cf65635b2b8b309ba2b28539fd7ad40039b11856cd662f2b000c1"}}, "download_size": 107201655, "post_processing_size": null, "dataset_size": 178585543, "size_in_bytes": 285787198}, "compguesswhat-zero_shot": {"description": "\n        CompGuessWhat?! is an instance of a multi-task framework for evaluating the quality of learned neural representations,\n        in particular concerning attribute grounding. Use this dataset if you want to use the set of games whose reference\n        scene is an image in VisualGenome. Visit the website for more details: https://compguesswhat.github.io\n    ", "citation": "        @inproceedings{suglia2020compguesswhat,\n          title={CompGuessWhat?!: a Multi-task Evaluation Framework for Grounded Language Learning},\n          author={Suglia, Alessandro, Konstas, Ioannis, Vanzo, Andrea, Bastianelli, Emanuele, Desmond Elliott, Stella Frank and Oliver Lemon},\n          booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},\n          year={2020}\n        }\n    ", "homepage": "https://compguesswhat.github.io/", "license": "", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "target_id": {"dtype": "string", "id": null, "_type": "Value"}, "status": {"dtype": "string", "id": null, "_type": "Value"}, "image": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "file_name": {"dtype": "string", "id": null, "_type": "Value"}, "coco_url": {"dtype": "string", "id": null, "_type": "Value"}, "height": {"dtype": "int32", "id": null, "_type": "Value"}, "width": {"dtype": "int32", "id": null, "_type": "Value"}, "license": {"dtype": "int32", "id": null, "_type": "Value"}, "open_images_id": {"dtype": "string", "id": null, "_type": "Value"}, "date_captured": {"dtype": "string", "id": null, "_type": "Value"}}, "objects": {"feature": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "bbox": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": 4, "id": null, "_type": "Sequence"}, "category": {"dtype": "string", "id": null, "_type": "Value"}, "area": {"dtype": "float32", "id": null, "_type": "Value"}, "category_id": {"dtype": "int32", "id": null, "_type": "Value"}, "IsOccluded": {"dtype": "int32", "id": null, "_type": "Value"}, "IsTruncated": {"dtype": "int32", "id": null, "_type": "Value"}, "segment": {"feature": {"MaskPath": {"dtype": "string", "id": null, "_type": "Value"}, "LabelName": {"dtype": "string", "id": null, "_type": "Value"}, "BoxID": {"dtype": "string", "id": null, "_type": "Value"}, "BoxXMin": {"dtype": "string", "id": null, "_type": "Value"}, "BoxXMax": {"dtype": "string", "id": null, "_type": "Value"}, "BoxYMin": {"dtype": "string", "id": null, "_type": "Value"}, "BoxYMax": {"dtype": "string", "id": null, "_type": "Value"}, "PredictedIoU": {"dtype": "string", "id": null, "_type": "Value"}, "Clicks": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "compguesswhat", "config_name": "compguesswhat-zero_shot", "version": {"version_str": "0.2.0", "description": "Second CompGuessWhat?! release", "major": 0, "minor": 2, "patch": 0}, "splits": {"nd_valid": {"name": "nd_valid", "num_bytes": 13557059, "num_examples": 5343, "dataset_name": "compguesswhat"}, "nd_test": {"name": "nd_test", "num_bytes": 36352201, "num_examples": 13836, "dataset_name": "compguesswhat"}, "od_valid": {"name": "od_valid", "num_bytes": 14093233, "num_examples": 5372, "dataset_name": "compguesswhat"}, "od_test": {"name": "od_test", "num_bytes": 33049755, "num_examples": 13300, "dataset_name": "compguesswhat"}}, "download_checksums": {"https://www.dropbox.com/s/f5o2t7aiok7kpcm/compguesswhat-zero_shot.zip?dl=1": {"num_bytes": 4845966, "checksum": "ebf444e14408dbff2d910ba9ec049cd42882f2ce52d465d0f78203ee454aa33e"}}, "download_size": 4845966, "post_processing_size": null, "dataset_size": 97052248, "size_in_bytes": 101898214}}