Datasets:
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import os | |
import json | |
import datasets | |
from datasets import DownloadManager | |
_URL = "data.zip" | |
class NewsHeadDataset(datasets.GeneratorBasedBuilder): | |
def _info(self): | |
return datasets.DatasetInfo( | |
description = "newshead multi document summarisation dataset", | |
features = datasets.Features( | |
{ | |
"documents": datasets.Value("string"), | |
"summary": datasets.Value("string") | |
} | |
) | |
) | |
def _split_generators(self, dl_manager: DownloadManager): | |
data_dir = dl_manager.download_and_extract(_URL) | |
return [ | |
datasets.SplitGenerator( | |
name=datasets.Split.TRAIN, | |
gen_kwargs = { | |
"filepath": os.path.join(data_dir, "train.jsonl"), | |
"split": "train" | |
} | |
), | |
datasets.SplitGenerator( | |
name=datasets.Split.VALIDATION, | |
gen_kwargs = { | |
"filepath": os.path.join(data_dir, "validation.jsonl"), | |
"split": "validation" | |
} | |
), | |
datasets.SplitGenerator( | |
name=datasets.Split.TEST, | |
gen_kwargs = { | |
"filepath": os.path.join(data_dir, "validation.jsonl"), | |
"split": "test" | |
} | |
) | |
] | |
def _generate_examples(self, filepath, split): | |
with open(filepath, encoding="utf-8") as f: | |
for id_, row in enumerate(f): | |
data = json.loads(row) | |
yield id_, { | |
"documents": data["text"], | |
"summary": data["summary"] | |
} | |