del

GlotSparse.py

@@ -0,0 +1,152 @@
+# coding=utf-8
+# Copyright 2023 The GlotSprase Authors.
+# Lint as: python3
+"""
+                                           GlotSprase
+"""
+
+""" This dataset loading script is built based on Hugging Face tutorial and OSCAR-2301's and CulturaX dataset script. """
+
+import os
+import collections
+
+import pandas as pd
+
+import datasets
+
+logger = datasets.logging.get_logger(__name__)
+
+_DESCRIPTION = """\
+    GlotSprase \
+"""
+
+_URL = "https://huggingface.co/datasets/kargaranamir/GlotSparse"
+
+_LICENSE = """
+We do not own any of the text from which these data has been extracted.
+We license the actual packaging, the metadata and the annotations of these data under the CC BY 4.0.
+
+If you are a website/dataset owner and do not want your data to be included in this corpra, please send us an email at [email protected] .
+"""
+
+_CITATION = r"""\
+@misc{GlotSparse,
+  author = {Kargaran, Amir Hossein},
+  title = {GlotSparse Corpus},
+  year = {2023},
+  publisher = {Github},
+  journal = {Github Repository},
+  howpublished = {{\\url{https://github.com/kargaranamir/GlotSparse}}},
+}
+"""
+
+_BASE_DATA_PAT_FORMAT_STR = "{language}/{language}.csv"
+_BASE_CHECKSUM_FILE_NAME = "checksum.sha256"
+
+
+def _languages():
+    """Create the sorted dictionary of language codes, and language names.
+    Returns:
+      The sorted dictionary as an instance of `collections.OrderedDict`.
+    """
+    langs = {
+        "Balochi_Arab": "bal_Arab",
+        "Twi_Latn": "twi_Latn",
+        "Fanti_Latn": "fat_Latn",
+        "South-Azerbaijani_Arab": "azb_Arab",
+        "Southern-Kurdish_Arab": "sdh_Arab",
+        "Gurani-Arab": "hac_Arab",
+        "Southern-Uzbek": "uzs_Arab",
+        "Kirmanjki-Latn": "kiu-Latn",
+        "Southern-Uzbek_Arab": "uzs_Arab",
+        "Gilaki": "glk_Arab",
+    }
+
+    langs = {v: k for k, v in langs.items()}
+    return collections.OrderedDict(sorted(langs.items()))
+
+
+class GlotConfig(datasets.BuilderConfig):
+    """GlotSprase corpus."""
+
+    def __init__(self, language: str, **kwargs):
+        """BuilderConfig for GlotSprase.
+        Args:
+            language (str): It has to contain 3-letter coded strings following the writing script with an underline in between. For example: "glk_Arab", "fat_Latn".
+            **kwargs: Keyword arguments forwarded to super.
+        """
+        # Validate the language.
+        if language not in _languages():
+            raise ValueError("Invalid language: %s " % language)
+
+        name = f"{language}"
+        description = (
+            f"Original {_languages()[language]} GlotSprase dataset from 2023"
+        )
+        super(GlotConfig, self).__init__(
+            name=name, description=description, **kwargs
+        )
+
+        # Additional attributes
+        self.language = language
+        self.base_data_path = _BASE_DATA_PAT_FORMAT_STR.format(language=language)
+
+
+class Glot(datasets.ArrowBasedBuilder):
+    """GlotSprase"""
+
+    BUILDER_CONFIGS = [
+        GlotConfig(  # pylint: disable=g-complex-comprehension
+            language=language,
+            version=datasets.Version("1.0.0"),
+        )
+        for language in _languages()
+    ]
+    BUILDER_CONFIG_CLASS = GlotConfig
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "Source": datasets.Value("string"),
+                    "Content": datasets.Value("string"),
+                    "Length": datasets.Value("int64"),
+                    "Script": datasets.Value("string"),
+                    "ISO639-3": datasets.Value("string"),
+                    "Language": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage=_URL,
+            citation=_CITATION,
+            license=_LICENSE,
+        )
+
+    def _split_generators(self, dl_manager):
+
+        data_urls = [self.config.base_data_path]
+        doc_files = dl_manager.download(
+            [url for url in data_urls if url.endswith(".csv")]
+        )
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, gen_kwargs={"doc_files": doc_files}
+            ),
+        ]
+
+
+    def _generate_tables(self, doc_files):
+        """This function returns the data by iterating on all the files."""
+        for doc_i, doc_path in enumerate(doc_files):
+            df = pd.read_csv(doc_path)
+
+            for index, row in df.iterrows():
+                yield f"{doc_i}_{index}", {
+                            "ISO639-3": row["ISO639-3"],
+                            "Language": row["Language"],
+                            "Content": row["Content"],
+                            "Script": row["Script"],
+                            "Length": row["Length"],
+                            "Source": row["Source"],
+                            }

balochi.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4a59eeb9cfce3e145d0782211e0810e0c2ac6cd9991be80cec8723e367268c0d
-size 14310496

brahui.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:919b4f319bfffa0f832be117ef0ffaf7008359ae5841087e9ff75b23047f2d7a
-size 12757409

gurani.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3e3605aa4cf521b497d170a2191f203c1a1015fde1a4eb2863f3d0802467fd70
-size 17749590

kirmanjki.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e3d40054b4d71f80d9ae9ed00987cd07a8d9b11329b7a219562ea679f34fef0f
-size 45857180

south-azerbaijani.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:44d6c2e53090ee68035a5a98b68ac146b2f2f7e4d6e16cd848d7031adfe709d7
-size 40986731

southern-kurdish.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e2a31cc9368360d073b2a1745fc0efa92c2f2fe610ece9547a1b86bfb8b91534
-size 45976710

southern-uzbek.csv

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d8b0cf458a8b11190bbd254d93106f24be92d85ae353f6ae2f170a83d1852dcf
-size 48041901