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"""Loading script"""
import datasets
import json
_DESCRIPTION = "Magic the Gathering card text dataset"
"""We have two .json files with the train and validation cards. The
json is basically a list of dictionaries with the following keys:
"card_name": string
"type_line": string
"oracle_text": string
"""
_FILES = {
"train": "mtg_text/train_cards.json",
"validation": "mtg_text/val_cards.json",
}
class MTGCardText(datasets.GeneratorBasedBuilder):
"""BuilderConfig for MTGCardText"""
def __init__(self, **kwargs):
"""BuilderConfig for MTGCardText.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(MTGCardText, self).__init__(**kwargs)
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features({
"card_name": datasets.Value("string"),
"type_line": datasets.Value("string"),
"oracle_text": datasets.Value("string")
}),
supervised_keys=None,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators.
Args:
dl_manager: DownloadManager object used to download and extract the
dataset files.
Returns:
`dict<str, SplitGenerator>`.
"""
downloaded_files = dl_manager.download_and_extract(_FILES)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"filepath": downloaded_files["train"],
},
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={
"filepath": downloaded_files["validation"],
},
),
]
def _generate_examples(self, filepath):
"""Yields examples.
Args:
filepath: a string
Yields:
dictionaries containing "card_name", "type_line" and "oracle_text"
"""
with open(filepath, encoding="utf-8") as f:
data = json.load(f)
for id_, row in enumerate(data):
yield id_, {
"card_name": row["card_name"],
"type_line": row["type_line"],
"oracle_text": row["oracle_text"]
}
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