fix
Browse files- semeval-2010-pre.py +8 -7
semeval-2010-pre.py
CHANGED
@@ -39,10 +39,11 @@ _LICENSE = "Apache 2.0 License"
|
|
39 |
# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
|
40 |
# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
|
41 |
_URLS = {
|
42 |
-
"test": "test.jsonl"
|
43 |
"train": "train.jsonl"
|
44 |
}
|
45 |
|
|
|
46 |
# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
|
47 |
class SemEval(datasets.GeneratorBasedBuilder):
|
48 |
"""TODO: Short description of my dataset."""
|
@@ -109,19 +110,19 @@ class SemEval(datasets.GeneratorBasedBuilder):
|
|
109 |
data_dir = dl_manager.download_and_extract(urls)
|
110 |
return [
|
111 |
datasets.SplitGenerator(
|
112 |
-
name=datasets.Split.
|
113 |
# These kwargs will be passed to _generate_examples
|
114 |
gen_kwargs={
|
115 |
-
"filepath": os.path.join(data_dir["
|
116 |
-
"split": "
|
117 |
},
|
118 |
),
|
119 |
datasets.SplitGenerator(
|
120 |
-
name=datasets.Split.
|
121 |
# These kwargs will be passed to _generate_examples
|
122 |
gen_kwargs={
|
123 |
-
"filepath": os.path.join(data_dir["
|
124 |
-
"split": "
|
125 |
},
|
126 |
),
|
127 |
]
|
|
|
39 |
# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
|
40 |
# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
|
41 |
_URLS = {
|
42 |
+
"test": "test.jsonl",
|
43 |
"train": "train.jsonl"
|
44 |
}
|
45 |
|
46 |
+
|
47 |
# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
|
48 |
class SemEval(datasets.GeneratorBasedBuilder):
|
49 |
"""TODO: Short description of my dataset."""
|
|
|
110 |
data_dir = dl_manager.download_and_extract(urls)
|
111 |
return [
|
112 |
datasets.SplitGenerator(
|
113 |
+
name=datasets.Split.TRAIN,
|
114 |
# These kwargs will be passed to _generate_examples
|
115 |
gen_kwargs={
|
116 |
+
"filepath": os.path.join(data_dir["train"]),
|
117 |
+
"split": "train",
|
118 |
},
|
119 |
),
|
120 |
datasets.SplitGenerator(
|
121 |
+
name=datasets.Split.TEST,
|
122 |
# These kwargs will be passed to _generate_examples
|
123 |
gen_kwargs={
|
124 |
+
"filepath": os.path.join(data_dir["test"]),
|
125 |
+
"split": "test"
|
126 |
},
|
127 |
),
|
128 |
]
|