File size: 3,387 Bytes
2ef7df9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 |
import json
import datasets
import pandas as pd
class OpenDataSMConfig(datasets.BuilderConfig):
def __init__(self, features, data_url, **kwargs):
super(OpenDataSMConfig, self).__init__(**kwargs)
self.features = features
self.data_url = data_url
class OpenDataSM(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
OpenDataSMConfig(
name="pairs",
features={
"column1": datasets.Value("string"),
"column2": datasets.Value("string"),
"label" : datasets.Value("bool")
},
data_url="https://huggingface.co/datasets/matchbench/Open-Data-SM/resolve/main/matches.txt"
),
OpenDataSMConfig(
name="source",
features={
"json": datasets.Value("string")
},
data_url="https://huggingface.co/datasets/matchbench/Open-Data-SM/resolve/main/open_data-sm-1.csv"
),
OpenDataSMConfig(
name="target",
features={
"json": datasets.Value("string")
},
data_url="https://huggingface.co/datasets/matchbench/Open-Data-SM/resolve/main/open_data-sm-2.csv"
),
]
def _info(self):
return datasets.DatasetInfo(
features=datasets.Features(self.config.features)
)
def _split_generators(self, dl_manager):
path = dl_manager.download(self.config.data_url)
if self.config.name == "pairs":
return [
datasets.SplitGenerator(
name=split,
gen_kwargs={
"file_path": path
}
)
for split in [
datasets.Split.TEST
]
]
elif self.config.name == "source":
return [
datasets.SplitGenerator(
name="source",
gen_kwargs={
"file_path": path
}
)
]
elif self.config.name == "target":
return [
datasets.SplitGenerator(
name="target",
gen_kwargs={
"file_path": path
}
)
]
def _generate_examples(self, file_path):
if self.config.name == "pairs":
with open(file_path, "r") as f:
md = {}
for _, line in enumerate(f):
t = line.strip().split(',')
if t[0] not in md:
md[t[0]] = {t[1]}
else:
md[t[0]].add(t[1])
id = -1
for k, v in md.items():
for i in v:
id = id + 1
yield id, {"column1": k, "column2": i, "label": True}
elif self.config.name == "source":
with open(file_path, "r") as f:
source = pd.read_csv(file_path)
source = source.to_json()
yield 0, {"json": source}
elif self.config.name == "target":
with open(file_path, "r") as f:
target = pd.read_csv(file_path)
target = target.to_json()
yield 0, {"json": target} |