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cc100.py

@@ -26,24 +26,24 @@ corpus.
 
 This contains the Indonesian (ind), the Javanese (jav), and the Sundanese (sun) subset.
 
-[nusantara_schema_name] = ssp
+[seacrowd_schema_name] = ssp
 """
 
-from posixpath import split
 from typing import Dict, List, Tuple
 
 import datasets
 
-from nusacrowd.utils import schemas
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import (DEFAULT_NUSANTARA_VIEW_NAME,
-                                       DEFAULT_SOURCE_VIEW_NAME, Tasks)
+from seacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import (DEFAULT_SEACROWD_VIEW_NAME,
+                                      DEFAULT_SOURCE_VIEW_NAME, Tasks, TASK_TO_SCHEMA)
 
 _DATASETNAME = "cc100"
 _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
-_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
 
-_LANGUAGES = ["ind", "jav", "sun"]  # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
+# We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
+_LANGUAGES = ["ind", "jav", "sun", "mya", "mya_zaw", "lao", "khm", "tgl", "vie", "tha", "zlm"]
 _LOCAL = False
 
 _CITATION = """\
@@ -135,9 +135,17 @@ _HOMEPAGE = "https://data.statmt.org/cc-100/"
 _LICENSE = "MIT"
 
 _LANGUAGES_MAP = {
-    "ind": "id",
-    "jav": "jv",
-    "sun": "su",
+    "ind": "id",  # Indonesian
+    "jav": "jv",  # Javanese
+    "sun": "su",  # Sundanese
+    "mya": "my",  # Burmese
+    "mya_zaw": "my_zaw",  # Burmese (Zawgyi)
+    "lao": "lo",  # Lao
+    "khm": "km",  # Central Khmer, Khmer
+    "tgl": "tl",  # Tagalog
+    "vie": "vi",  # Vietnamese
+    "tha": "th",  # Thai
+    "zlm": "ms",  # Malay
 }
 
 _URLS = {
@@ -146,19 +154,28 @@ _URLS = {
 
 _SUPPORTED_TASKS = [Tasks.SELF_SUPERVISED_PRETRAINING]
 
+_SEACROWD_SCHEMA_NAME = TASK_TO_SCHEMA[_SUPPORTED_TASKS[0]].lower()
+
 _SOURCE_VERSION = "2018.12.01"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
+
 
-def nusantara_config_constructor(lang, schema, version):
-    """Construct NusantaraConfig with cc100_{lang}_{schema} as the name format."""
-    if schema != "source" and schema != "nusantara_ssp":
+def seacrowd_config_constructor(lang, schema, version):
+    """Construct SEACrowdConfig with cc100_{lang}_{schema} as the name format."""
+    if schema != "source" and schema != f"seacrowd_{_SEACROWD_SCHEMA_NAME}":
         raise ValueError(f"Invalid schema: {schema}")
 
     if lang == "":
-        raise ValueError(f"Language is required. Choose one of these languages: {_LANGUAGES}.")
+        return SEACrowdConfig(
+            name=f"cc100_{schema}",
+            version=datasets.Version(version),
+            description=f"CC100 with {schema} schema for all languages",
+            schema=schema,
+            subset_id="cc100",
+        )
     elif lang in _LANGUAGES:
-        return NusantaraConfig(
+        return SEACrowdConfig(
             name=f"cc100_{lang}_{schema}",
             version=datasets.Version(version),
             description=f"CC100 with {schema} schema for {lang} language",
@@ -171,14 +188,15 @@ def nusantara_config_constructor(lang, schema, version):
 
 class CC100(datasets.GeneratorBasedBuilder):
     """Monolingual Datasets from Web Crawl Data."""
-
-    DEFAULT_CONFIG_NAME = "cc100_jav_source"
-
-    BUILDER_CONFIGS = [
-        nusantara_config_constructor(lang, "source", _SOURCE_VERSION) for lang in _LANGUAGES_MAP
-    ] + [
-        nusantara_config_constructor(lang, "nusantara_ssp", _NUSANTARA_VERSION) for lang in _LANGUAGES_MAP
-    ]
+  
+    BUILDER_CONFIGS = (
+        [seacrowd_config_constructor(lang, "source", _SOURCE_VERSION) for lang in _LANGUAGES_MAP]
+        + [seacrowd_config_constructor(lang, f"seacrowd_{_SEACROWD_SCHEMA_NAME}", _SEACROWD_VERSION) for lang in _LANGUAGES_MAP]
+        + [
+            seacrowd_config_constructor("", "source", _SOURCE_VERSION),
+            seacrowd_config_constructor("", f"seacrowd_{_SEACROWD_SCHEMA_NAME}", _SOURCE_VERSION),
+        ]
+    )
 
     def _info(self) -> datasets.DatasetInfo:
         if self.config.schema == "source":
@@ -188,7 +206,7 @@ class CC100(datasets.GeneratorBasedBuilder):
                     "text": datasets.Value("string"),
                 }
             )
-        elif self.config.schema == "nusantara_ssp":
+        elif self.config.schema == f"seacrowd_{_SEACROWD_SCHEMA_NAME}":
             features = schemas.self_supervised_pretraining.features
 
         return datasets.DatasetInfo(
@@ -201,14 +219,13 @@ class CC100(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager) -> List[datasets.SplitGenerator]:
         """Returns SplitGenerators."""
-
         split_name = self.config.name.split("_")
-        if split_name[1] == "source" or split_name[1] == "nusantara":
-            lang = _DEFAULT_LANGUAGE
+        if self.config.name == "cc100_source" or self.config.name == f"cc100_seacrowd_{_SEACROWD_SCHEMA_NAME}":
+            # Load all languages
+            path = dl_manager.download_and_extract([_URLS["train"].format(lang=_LANGUAGES_MAP[lang]) for lang in _LANGUAGES_MAP])
         else:
-            lang = split_name[1]
-        url = _URLS["train"].format(lang=_LANGUAGES_MAP[lang])
-        path = dl_manager.download_and_extract(url)
+            url = _URLS["train"].format(lang=_LANGUAGES_MAP[split_name[1]])
+            path = dl_manager.download_and_extract(url)
 
         return [
             datasets.SplitGenerator(
@@ -234,7 +251,7 @@ class CC100(datasets.GeneratorBasedBuilder):
                                 "text": row.strip(),
                             },
                         )
-            elif self.config.schema == "nusantara_ssp":
+            elif self.config.schema == f"seacrowd_{_SEACROWD_SCHEMA_NAME}":
                 for counter, row in enumerate(f):
                     if row.strip() != "":
                         yield (
@@ -243,4 +260,4 @@ class CC100(datasets.GeneratorBasedBuilder):
                                 "id": str(counter),
                                 "text": row.strip(),
                             },
-                        )
+                        )