Datasets:
Rename Dataset loading script.py to script.py
Browse files
Dataset loading script.py → script.py
RENAMED
|
@@ -23,7 +23,7 @@ _URLS = {
|
|
| 23 |
"hero_hero_comic": "https://drive.google.com/file/d/1wel0zjoa8GvBo255dlX7cVOPF9XbvQrI/view?usp=sharing",
|
| 24 |
}
|
| 25 |
|
| 26 |
-
class
|
| 27 |
|
| 28 |
VERSION = datasets.Version("1.0.1")
|
| 29 |
|
|
@@ -35,31 +35,31 @@ class NCEducationDataset(datasets.GeneratorBasedBuilder):
|
|
| 35 |
DEFAULT_CONFIG_NAME = "adjacency_list"
|
| 36 |
|
| 37 |
def _info(self):
|
| 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 |
def _split_generators(self, dl_manager):
|
|
@@ -75,29 +75,19 @@ class NCEducationDataset(datasets.GeneratorBasedBuilder):
|
|
| 75 |
]
|
| 76 |
|
| 77 |
def _generate_examples(self, filepath):
|
| 78 |
-
|
| 79 |
-
with open(filepath,
|
| 80 |
-
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
|
| 84 |
-
|
| 85 |
-
|
| 86 |
-
|
| 87 |
-
|
| 88 |
-
|
| 89 |
-
|
| 90 |
-
|
| 91 |
-
|
| 92 |
-
|
| 93 |
-
|
| 94 |
-
"hero1": hero1,
|
| 95 |
-
"hero2": hero2,
|
| 96 |
-
"counts": counts,
|
| 97 |
-
}
|
| 98 |
-
else:
|
| 99 |
-
yield idx, {
|
| 100 |
-
"hero1": hero1,
|
| 101 |
-
"hero2": hero2,
|
| 102 |
-
"comic": comic,
|
| 103 |
-
}
|
|
|
|
| 23 |
"hero_hero_comic": "https://drive.google.com/file/d/1wel0zjoa8GvBo255dlX7cVOPF9XbvQrI/view?usp=sharing",
|
| 24 |
}
|
| 25 |
|
| 26 |
+
class Marvel(datasets.GeneratorBasedBuilder):
|
| 27 |
|
| 28 |
VERSION = datasets.Version("1.0.1")
|
| 29 |
|
|
|
|
| 35 |
DEFAULT_CONFIG_NAME = "adjacency_list"
|
| 36 |
|
| 37 |
def _info(self):
|
| 38 |
+
if self.config.name == "adjacency_list": # This is the name of the configuration selected in BUILDER_CONFIGS above
|
| 39 |
+
features = datasets.Features(
|
| 40 |
+
{
|
| 41 |
+
"hero1": datasets.Value("string"),
|
| 42 |
+
"hero2": datasets.Value("string"),
|
| 43 |
+
"counts": datasets.Value("int64")
|
| 44 |
+
# These are the features of your dataset like images, labels ...
|
| 45 |
+
}
|
| 46 |
+
)
|
| 47 |
+
else: # This is an example to show how to have different features for "first_domain" and "second_domain"
|
| 48 |
+
features = datasets.Features(
|
| 49 |
+
{
|
| 50 |
+
"hero1": datasets.Value("string"),
|
| 51 |
+
"hero2": datasets.Value("string"),
|
| 52 |
+
"comic": datasets.Value("int64")
|
| 53 |
+
# These are the features of your dataset like images, labels ...
|
| 54 |
+
}
|
| 55 |
+
)
|
| 56 |
+
return datasets.DatasetInfo(
|
| 57 |
+
description=_DESCRIPTION,
|
| 58 |
+
features=features,
|
| 59 |
+
homepage=_HOMEPAGE,
|
| 60 |
+
license=_LICENSE,
|
| 61 |
+
citation=_CITATION,
|
| 62 |
+
)
|
| 63 |
|
| 64 |
|
| 65 |
def _split_generators(self, dl_manager):
|
|
|
|
| 75 |
]
|
| 76 |
|
| 77 |
def _generate_examples(self, filepath):
|
| 78 |
+
"""Generates examples as dictionaries."""
|
| 79 |
+
with open(filepath, encoding="utf-8") as csv_file:
|
| 80 |
+
reader = csv.DictReader(csv_file)
|
| 81 |
+
for id_, row in enumerate(reader):
|
| 82 |
+
if self.config.name == "adjacency_list":
|
| 83 |
+
yield id_, {
|
| 84 |
+
"hero1": row["hero1"],
|
| 85 |
+
"hero2": row["hero2"],
|
| 86 |
+
"counts": int(row["counts"]),
|
| 87 |
+
}
|
| 88 |
+
elif self.config.name == "hero_hero_comic":
|
| 89 |
+
yield id_, {
|
| 90 |
+
"hero1": row["hero1"],
|
| 91 |
+
"hero2": row["hero2"],
|
| 92 |
+
"comic": int(row["comic"]),
|
| 93 |
+
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|