Datasets:
dainis-boumber
commited on
Commit
•
37831c2
1
Parent(s):
5759e63
Upload gdds.py
Browse files
gdds.py
CHANGED
@@ -1,4 +1,6 @@
|
|
1 |
|
|
|
|
|
2 |
import csv
|
3 |
import json
|
4 |
import os
|
@@ -25,6 +27,7 @@ _HOMEPAGE = ""
|
|
25 |
_LICENSE = ""
|
26 |
|
27 |
|
|
|
28 |
# TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
|
29 |
class GDDS(datasets.GeneratorBasedBuilder):
|
30 |
"""TODO: Short description of my dataset."""
|
@@ -84,13 +87,15 @@ class GDDS(datasets.GeneratorBasedBuilder):
|
|
84 |
# dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
|
85 |
# It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
|
86 |
# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
|
87 |
-
|
|
|
|
|
88 |
return [
|
89 |
datasets.SplitGenerator(
|
90 |
name=datasets.Split.TRAIN,
|
91 |
# These kwargs will be passed to _generate_examples
|
92 |
gen_kwargs={
|
93 |
-
"filepath": os.path.join(
|
94 |
"split": "train",
|
95 |
},
|
96 |
),
|
@@ -98,7 +103,7 @@ class GDDS(datasets.GeneratorBasedBuilder):
|
|
98 |
name=datasets.Split.VALIDATION,
|
99 |
# These kwargs will be passed to _generate_examples
|
100 |
gen_kwargs={
|
101 |
-
"filepath": os.path.join(
|
102 |
"split": "dev",
|
103 |
},
|
104 |
),
|
@@ -106,7 +111,7 @@ class GDDS(datasets.GeneratorBasedBuilder):
|
|
106 |
name=datasets.Split.TEST,
|
107 |
# These kwargs will be passed to _generate_examples
|
108 |
gen_kwargs={
|
109 |
-
"filepath": os.path.join(
|
110 |
"split": "test"
|
111 |
},
|
112 |
),
|
|
|
1 |
|
2 |
+
|
3 |
+
|
4 |
import csv
|
5 |
import json
|
6 |
import os
|
|
|
27 |
_LICENSE = ""
|
28 |
|
29 |
|
30 |
+
|
31 |
# TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
|
32 |
class GDDS(datasets.GeneratorBasedBuilder):
|
33 |
"""TODO: Short description of my dataset."""
|
|
|
87 |
# dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
|
88 |
# It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
|
89 |
# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
|
90 |
+
# urls = _URLS[self.config.name]
|
91 |
+
data_dir = dl_manager.download_and_extract(self.config.name)
|
92 |
+
|
93 |
return [
|
94 |
datasets.SplitGenerator(
|
95 |
name=datasets.Split.TRAIN,
|
96 |
# These kwargs will be passed to _generate_examples
|
97 |
gen_kwargs={
|
98 |
+
"filepath": os.path.join(data_dir, "train.jsonl"),
|
99 |
"split": "train",
|
100 |
},
|
101 |
),
|
|
|
103 |
name=datasets.Split.VALIDATION,
|
104 |
# These kwargs will be passed to _generate_examples
|
105 |
gen_kwargs={
|
106 |
+
"filepath": os.path.join(data_dir, "validate.jsonl"),
|
107 |
"split": "dev",
|
108 |
},
|
109 |
),
|
|
|
111 |
name=datasets.Split.TEST,
|
112 |
# These kwargs will be passed to _generate_examples
|
113 |
gen_kwargs={
|
114 |
+
"filepath": os.path.join(data_dir, "test.jsonl"),
|
115 |
"split": "test"
|
116 |
},
|
117 |
),
|