Upload nllb_seed.py with huggingface_hub

nllb_seed.py

@@ -28,7 +28,7 @@ To create a dataset loading script you will create a class and implement 3 metho
 
 TODO: Before submitting your script, delete this doc string and replace it with a description of your dataset.
 
-[nusantara_schema_name] = (kb, pairs, qa, text, t2t, entailment)
+[seacrowd_schema_name] = (kb, pairs, qa, text, t2t, entailment)
 """
 import os
 from pathlib import Path
@@ -36,9 +36,9 @@ from typing import Dict, List, Tuple
 
 import datasets
 
-from nusacrowd.utils import schemas
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import Tasks
+from seacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import Tasks
 
 # TODO: Add BibTeX citation
 _CITATION = """\
@@ -77,7 +77,7 @@ _LICENSE = "CC-BY-SA 4.0"
 #  For local datasets, this variable can be an empty dictionary.
 
 # For publicly available datasets you will most likely end up passing these URLs to dl_manager in _split_generators.
-# In most cases the URLs will be the same for the source and nusantara config.
+# In most cases the URLs will be the same for the source and seacrowd config.
 # However, if you need to access different files for each config you can have multiple entries in this dict.
 # This can be an arbitrarily nested dict/list of URLs (see below in `_split_generators` method)
 _URLS = {
@@ -91,18 +91,18 @@ _SUPPORTED_TASKS = [Tasks.MACHINE_TRANSLATION]  # example: [Tasks.TRANSLATION, T
 #  This version doesn't have to be consistent with semantic versioning. Anything that is
 #  provided by the original dataset as a version goes.
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 _LOCAL = False
 
 
-def nusantara_config_constructor(lang, schema, version):
+def seacrowd_config_constructor(lang, schema, version):
     if lang == "":
         raise ValueError(f"Invalid lang {lang}")
 
-    if schema != "source" and schema != "nusantara_t2t":
+    if schema != "source" and schema != "seacrowd_t2t":
         raise ValueError(f"Invalid schema: {schema}")
 
-    return NusantaraConfig(
+    return SEACrowdConfig(
         name="nllb_seed_{lang}_{schema}".format(lang=lang, schema=schema),
         version=datasets.Version(version),
         description="nllb_seed {schema} schema for {lang} language".format(lang=_LANGUAGE_MAP[lang], schema=schema),
@@ -116,42 +116,42 @@ class NLLBSeed(datasets.GeneratorBasedBuilder):
     """TODO: Short description of my dataset."""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
-    # You will be able to load the "source" or "nusantara" configurations with
+    # You will be able to load the "source" or "seacrowd" configurations with
     # ds_source = datasets.load_dataset('my_dataset', name='source')
-    # ds_nusantara = datasets.load_dataset('my_dataset', name='nusantara')
+    # ds_seacrowd = datasets.load_dataset('my_dataset', name='seacrowd')
 
     # For local datasets you can make use of the `data_dir` and `data_files` kwargs
     # https://huggingface.co/docs/datasets/add_dataset.html#downloading-data-files-and-organizing-splits
     # ds_source = datasets.load_dataset('my_dataset', name='source', data_dir="/path/to/data/files")
-    # ds_nusantara = datasets.load_dataset('my_dataset', name='nusantara', data_dir="/path/to/data/files")
+    # ds_seacrowd = datasets.load_dataset('my_dataset', name='seacrowd', data_dir="/path/to/data/files")
 
     # TODO: For each dataset, implement Config for Source and Nusantara;
-    #  If dataset contains more than one subset (see nusantara/nusa_datasets/smsa.py) implement for EACH of them.
+    #  If dataset contains more than one subset (see seacrowd/sea_datasets/smsa.py) implement for EACH of them.
     #  Each of them should contain:
-    #   - name: should be unique for each dataset config eg. smsa_(source|nusantara)_[nusantara_schema_name]
-    #   - version: option = (SOURCE_VERSION|NUSANTARA_VERSION)
+    #   - name: should be unique for each dataset config eg. smsa_(source|seacrowd)_[seacrowd_schema_name]
+    #   - version: option = (SOURCE_VERSION|SEACROWD_VERSION)
     #   - description: one line description for the dataset
-    #   - schema: options = (source|nusantara_[nusantara_schema_name])
+    #   - schema: options = (source|seacrowd_[seacrowd_schema_name])
     #   - subset_id: subset id is the canonical name for the dataset (eg. smsa)
-    #  where [nusantara_schema_name] = (kb, pairs, qa, text, t2t)
+    #  where [seacrowd_schema_name] = (kb, pairs, qa, text, t2t)
 
-    BUILDER_CONFIGS = [nusantara_config_constructor(lang, "source", _SOURCE_VERSION) for lang in _LANGUAGE_MAP] + [nusantara_config_constructor(lang, "nusantara_t2t", _NUSANTARA_VERSION) for lang in _LANGUAGE_MAP]
+    BUILDER_CONFIGS = [seacrowd_config_constructor(lang, "source", _SOURCE_VERSION) for lang in _LANGUAGE_MAP] + [seacrowd_config_constructor(lang, "seacrowd_t2t", _SEACROWD_VERSION) for lang in _LANGUAGE_MAP]
     """
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="nllb_seed_source",
             version=SOURCE_VERSION,
             description="nllb_seed source schema",
             schema="source",
             subset_id="nllb_seed",
         ),
-        NusantaraConfig(
-            name="nllb_seed_nusantara_t2t",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="nllb_seed_seacrowd_t2t",
+            version=SEACROWD_VERSION,
             description="nllb_seed Nusantara schema",
-            schema="nusantara_t2t",
+            schema="seacrowd_t2t",
             subset_id="nllb_seed",
         ),
     ]
@@ -192,15 +192,15 @@ class NLLBSeed(datasets.GeneratorBasedBuilder):
                 }
             )
 
-        # Choose the appropriate nusantara schema for your task and copy it here. You can find information on the schemas in the CONTRIBUTING guide.
+        # Choose the appropriate seacrowd schema for your task and copy it here. You can find information on the schemas in the CONTRIBUTING guide.
 
-        # In rare cases you may get a dataset that supports multiple tasks requiring multiple schemas. In that case you can define multiple nusantara configs with a nusantara_[nusantara_schema_name] format.
+        # In rare cases you may get a dataset that supports multiple tasks requiring multiple schemas. In that case you can define multiple seacrowd configs with a seacrowd_[seacrowd_schema_name] format.
 
-        # For example nusantara_kb, nusantara_t2t
-        elif self.config.schema == "nusantara_t2t":
+        # For example seacrowd_kb, seacrowd_t2t
+        elif self.config.schema == "seacrowd_t2t":
             # e.g. features = schemas.kb_features
             features = schemas.text2text_features
-            # TODO: Choose your nusantara schema here
+            # TODO: Choose your seacrowd schema here
             # raise NotImplementedError()
 
         return datasets.DatasetInfo(
@@ -215,7 +215,7 @@ class NLLBSeed(datasets.GeneratorBasedBuilder):
         """Returns SplitGenerators."""
         # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
 
-        # If you need to access the "source" or "nusantara" config choice, that will be in self.config.name
+        # If you need to access the "source" or "seacrowd" config choice, that will be in self.config.name
 
         # LOCAL DATASETS: You do not need the dl_manager; you can ignore this argument. Make sure `gen_kwargs` in the return gets passed the right filepath
 
@@ -275,8 +275,8 @@ class NLLBSeed(datasets.GeneratorBasedBuilder):
             for key, example in thing:
                 yield key, example
 
-        elif self.config.schema == "nusantara_t2t":
-            # TODO: yield (key, example) tuples in the nusantara schema
+        elif self.config.schema == "seacrowd_t2t":
+            # TODO: yield (key, example) tuples in the seacrowd schema
             for key, example in thing:
                 yield key, example
         """
@@ -289,7 +289,7 @@ class NLLBSeed(datasets.GeneratorBasedBuilder):
                 }
                 yield id, row
 
-        elif self.config.schema == "nusantara_t2t":
+        elif self.config.schema == "seacrowd_t2t":
             for id, (src, tgt) in enumerate(zip(lang_text, eng_text)):
                 row = {
                     "id": str(id),
@@ -301,13 +301,3 @@ class NLLBSeed(datasets.GeneratorBasedBuilder):
                 yield id, row
         else:
             raise ValueError(f"Invalid config: {self.config.name}")
-
-
-# This template is based on the following template from the datasets package:
-# https://github.com/huggingface/datasets/blob/master/templates/new_dataset_script.py
-
-
-# This allows you to run your dataloader with `python [dataset_name].py` during development
-# TODO: Remove this before making your PR
-if __name__ == "__main__":
-    datasets.load_dataset(__file__)