Upload id_wiki_parallel.py with huggingface_hub
Browse files- id_wiki_parallel.py +12 -12
id_wiki_parallel.py
CHANGED
@@ -19,9 +19,9 @@ from typing import Dict, List, Tuple
|
|
19 |
import datasets
|
20 |
import pandas as pd
|
21 |
|
22 |
-
from
|
23 |
-
from
|
24 |
-
from
|
25 |
|
26 |
_CITATION = """\
|
27 |
@INPROCEEDINGS{
|
@@ -38,7 +38,7 @@ doi={10.1109/ICACSIS.2014.7065828}}
|
|
38 |
|
39 |
_DATASETNAME = "id_wiki_parallel"
|
40 |
_SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
|
41 |
-
_UNIFIED_VIEW_NAME =
|
42 |
|
43 |
_LANGUAGES = ["ind", "jav", "min", "sun"]
|
44 |
_LOCAL = False
|
@@ -72,7 +72,7 @@ _URLS = {
|
|
72 |
_SUPPORTED_TASKS = [Tasks.MACHINE_TRANSLATION]
|
73 |
|
74 |
_SOURCE_VERSION = "1.0.0"
|
75 |
-
|
76 |
|
77 |
|
78 |
class IdWikiParallel(datasets.GeneratorBasedBuilder):
|
@@ -82,7 +82,7 @@ class IdWikiParallel(datasets.GeneratorBasedBuilder):
|
|
82 |
|
83 |
ETHNIC_LANGUAGES = [lang for lang in _LANGUAGES if lang != "ind"]
|
84 |
BUILDER_CONFIGS = [
|
85 |
-
|
86 |
name="{dataset_name}_{src}_ind_source".format(dataset_name=_DATASETNAME, src=src),
|
87 |
version=datasets.Version(_SOURCE_VERSION),
|
88 |
description="ID Wiki Parallel source schema for {src} to ind and ind to {src}".format(src=src),
|
@@ -91,11 +91,11 @@ class IdWikiParallel(datasets.GeneratorBasedBuilder):
|
|
91 |
)
|
92 |
for src in ETHNIC_LANGUAGES
|
93 |
] + [
|
94 |
-
|
95 |
-
name="{dataset_name}_{src}
|
96 |
-
version=datasets.Version(
|
97 |
description="ID Wiki Parallel Nusantara schema for {src} to ind and ind to {src}".format(src=src),
|
98 |
-
schema="
|
99 |
subset_id="{dataset_name}_{src}_ind".format(dataset_name=_DATASETNAME, src=src),
|
100 |
)
|
101 |
for src in ETHNIC_LANGUAGES
|
@@ -106,7 +106,7 @@ class IdWikiParallel(datasets.GeneratorBasedBuilder):
|
|
106 |
def _info(self) -> datasets.DatasetInfo:
|
107 |
if self.config.schema == "source":
|
108 |
features = datasets.Features({"id": datasets.Value("string"), "text_1": datasets.Value("string"), "text_2": datasets.Value("string")})
|
109 |
-
elif self.config.schema == "
|
110 |
features = schemas.text2text_features
|
111 |
|
112 |
return datasets.DatasetInfo(
|
@@ -143,5 +143,5 @@ class IdWikiParallel(datasets.GeneratorBasedBuilder):
|
|
143 |
tgt_txt = row[2]
|
144 |
if self.config.schema == "source":
|
145 |
yield id, {"id": str(id), "text_1": src_txt, "text_2": tgt_txt}
|
146 |
-
elif self.config.schema == "
|
147 |
yield id, {"id": str(id), "text_1": src_txt, "text_2": tgt_txt, "text_1_name": src, "text_2_name": "ind"}
|
|
|
19 |
import datasets
|
20 |
import pandas as pd
|
21 |
|
22 |
+
from seacrowd.utils import schemas
|
23 |
+
from seacrowd.utils.configs import SEACrowdConfig
|
24 |
+
from seacrowd.utils.constants import DEFAULT_SEACROWD_VIEW_NAME, DEFAULT_SOURCE_VIEW_NAME, Tasks
|
25 |
|
26 |
_CITATION = """\
|
27 |
@INPROCEEDINGS{
|
|
|
38 |
|
39 |
_DATASETNAME = "id_wiki_parallel"
|
40 |
_SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
|
41 |
+
_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
|
42 |
|
43 |
_LANGUAGES = ["ind", "jav", "min", "sun"]
|
44 |
_LOCAL = False
|
|
|
72 |
_SUPPORTED_TASKS = [Tasks.MACHINE_TRANSLATION]
|
73 |
|
74 |
_SOURCE_VERSION = "1.0.0"
|
75 |
+
_SEACROWD_VERSION = "2024.06.20"
|
76 |
|
77 |
|
78 |
class IdWikiParallel(datasets.GeneratorBasedBuilder):
|
|
|
82 |
|
83 |
ETHNIC_LANGUAGES = [lang for lang in _LANGUAGES if lang != "ind"]
|
84 |
BUILDER_CONFIGS = [
|
85 |
+
SEACrowdConfig(
|
86 |
name="{dataset_name}_{src}_ind_source".format(dataset_name=_DATASETNAME, src=src),
|
87 |
version=datasets.Version(_SOURCE_VERSION),
|
88 |
description="ID Wiki Parallel source schema for {src} to ind and ind to {src}".format(src=src),
|
|
|
91 |
)
|
92 |
for src in ETHNIC_LANGUAGES
|
93 |
] + [
|
94 |
+
SEACrowdConfig(
|
95 |
+
name="{dataset_name}_{src}_ind_seacrowd_t2t".format(dataset_name=_DATASETNAME, src=src),
|
96 |
+
version=datasets.Version(_SEACROWD_VERSION),
|
97 |
description="ID Wiki Parallel Nusantara schema for {src} to ind and ind to {src}".format(src=src),
|
98 |
+
schema="seacrowd_t2t",
|
99 |
subset_id="{dataset_name}_{src}_ind".format(dataset_name=_DATASETNAME, src=src),
|
100 |
)
|
101 |
for src in ETHNIC_LANGUAGES
|
|
|
106 |
def _info(self) -> datasets.DatasetInfo:
|
107 |
if self.config.schema == "source":
|
108 |
features = datasets.Features({"id": datasets.Value("string"), "text_1": datasets.Value("string"), "text_2": datasets.Value("string")})
|
109 |
+
elif self.config.schema == "seacrowd_t2t":
|
110 |
features = schemas.text2text_features
|
111 |
|
112 |
return datasets.DatasetInfo(
|
|
|
143 |
tgt_txt = row[2]
|
144 |
if self.config.schema == "source":
|
145 |
yield id, {"id": str(id), "text_1": src_txt, "text_2": tgt_txt}
|
146 |
+
elif self.config.schema == "seacrowd_t2t":
|
147 |
yield id, {"id": str(id), "text_1": src_txt, "text_2": tgt_txt, "text_1_name": src, "text_2_name": "ind"}
|