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import os
import json
import datasets
from pathlib import Path
_DESCRIPTION = "Gigaword dataset"
_DOCUMENT = "document"
_ID = "id"
class GigawordDataset(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
_DOCUMENT: datasets.Value("string"),
_ID: datasets.Value("string"),
}
),
#supervised_keys=(_DOCUMENT, _SUMMARY),
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
data_dir = dl_manager._data_dir
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"path": os.path.join(data_dir, "train.jsonl"), "name": "train"}
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
gen_kwargs={"path": os.path.join(data_dir, "val.jsonl"), "name": "validation"}
),
]
def _generate_examples(self, path=None, name=None):
"""Yields examples."""
with open(path, encoding="utf-8") as f:
for i, line in enumerate(f):
x = json.loads(line)
id = x["id"]
item = {
_ID: id,
_DOCUMENT: x["text"],
}
yield id, item
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