Datasets:
Tasks:
Visual Question Answering
Formats:
parquet
Sub-tasks:
visual-question-answering
Languages:
English
Size:
100K - 1M
ArXiv:
License:
| 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) | |