Datasets:
Tasks:
Visual Question Answering
Formats:
parquet
Sub-tasks:
visual-question-answering
Languages:
English
Size:
100K - 1M
ArXiv:
License:
Delete loading script auxiliary file
Browse files- create_dummy_data.py +0 -96
create_dummy_data.py
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import gzip
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import json
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import logging
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import os
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from argparse import ArgumentParser
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parser = ArgumentParser()
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parser.add_argument(
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"-d",
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"--data_path",
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type=str,
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required=True,
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help="Data path containing the CompGuessWhat?! datasets (files with 'jsonl.gz' extension)",
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)
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parser.add_argument(
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"--examples",
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type=int,
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default=5,
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help="Number of games to consider in the dummy dataset",
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)
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original_data_files = {
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"train": "compguesswhat.train.jsonl.gz",
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"valid": "compguesswhat.valid.jsonl.gz",
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"test": "compguesswhat.test.jsonl.gz",
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}
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zs_data_files = {
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"nd_valid": "compguesswhat.nd_valid.jsonl.gz",
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"od_valid": "compguesswhat.od_valid.jsonl.gz",
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"nd_test": "compguesswhat.nd_test.jsonl.gz",
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"od_test": "compguesswhat.od_test.jsonl.gz",
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}
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COMPGUESSWHAT_ROOT = "datasets/compguesswhat/"
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def create_dummy_data_for_split(data_path, dataset_name, dataset_version, data_files):
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full_dataset_name = "-".join(["compguesswhat", dataset_name])
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dummy_data_path = os.path.join(
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COMPGUESSWHAT_ROOT,
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"dummy",
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full_dataset_name,
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dataset_version,
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"dummy_data",
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full_dataset_name,
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dataset_version,
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)
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if not os.path.exists(dummy_data_path):
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os.makedirs(dummy_data_path)
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for split_name, split_file in data_files.items():
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logging.info(f"Generating dummy data for split {split_name} (num. examples = {args.examples})")
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split_filepath = os.path.join(data_path, full_dataset_name, dataset_version, split_file)
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logging.info(f"Reading split file {split_filepath}")
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with gzip.open(split_filepath) as in_file:
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dummy_filepath = os.path.join(dummy_data_path, split_file)
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with gzip.open(dummy_filepath, mode="w") as out_file:
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for i, line in enumerate(in_file):
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if i > args.examples:
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break
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data = json.loads(line.strip())
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out_file.write(json.dumps(data).encode("utf-8"))
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out_file.write(b"\n")
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def main(args):
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# args.data_path is the directory containing the already downloaded dataset files
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# we assume that the dataset test was successful and we have the file dataset_info.json
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dataset_info_path = os.path.join(COMPGUESSWHAT_ROOT, "dataset_infos.json")
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if not os.path.exists(dataset_info_path):
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raise ValueError(
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"The file 'dataset_info.json' doesn't exists. Make sure that you run the dataset tests via datasets-cli."
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)
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with open(dataset_info_path, encoding="utf-8") as in_file:
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dataset_info = json.load(in_file)
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dataset_version = dataset_info["compguesswhat-original"]["version"]["version_str"]
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logging.info(f"Creating dummy data for CompGuessWhat?! {dataset_version}")
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logging.info("Original dataset...")
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create_dummy_data_for_split(args.data_path, "original", dataset_version, original_data_files)
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logging.info("Zero-shot dataset...")
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create_dummy_data_for_split(args.data_path, "zero_shot", dataset_version, zs_data_files)
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if __name__ == "__main__":
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args = parser.parse_args()
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main(args)
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