Datasets:
Tasks:
Visual Question Answering
Formats:
parquet
Sub-tasks:
visual-question-answering
Languages:
English
Size:
100K<n<1M
ArXiv:
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License:
File size: 3,145 Bytes
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import gzip
import json
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():
print(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)
print(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"]
print(f"Creating dummy data for CompGuessWhat?! {dataset_version}")
print("Original dataset...")
create_dummy_data_for_split(args.data_path, "original", dataset_version, original_data_files)
print("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)
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