Add Tigrinya-SQuAD data files and loader script

.gitattributes

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+*.json filter=lfs diff=lfs merge=lfs -text
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
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+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
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+*.parquet filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
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+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
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+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text

.gitignore

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+### Flask
+instance/*
+!instance/.gitignore
+.webassets-cache
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
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+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
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+
+__pycache__/
+
+# PyInstaller
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+
+# Installer logs
+pip-log.txt
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+
+# Unit test
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+.coverage
+.coverage.*
+.cache
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+coverage.xml
+*.cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
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+db.sqlite3
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+# Flask stuff:
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+profile_default/
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+celerybeat-schedule
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+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/

data/Tigrinya-SQuAD-v1-train.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:27ca6b9e51e057e532fd59616cda432e7fa00f2a1d1daea074cd60ef470199bb
+size 42946884

tigrinya-squad.py

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+"""Tigrinya-SQuAD: Machine-Translated Training Dataset for Tigrinya Question Answering."""
+
+import json
+
+import datasets
+
+
+_HOMEPAGE = "https://github.com/fgaim/tiquad"
+
+_DESCRIPTION = """\
+Tigrinya-SQuAD is a machine-translated and filtered version of the English SQuAD 1.1 training dataset, 
+automatically converted to Tigrinya for training question-answering models in low-resource settings.
+This silver-standard dataset serves as training data only. For evaluation, use the gold-standard TiQuAD dataset.
+"""
+
+_CITATION = """\
+@inproceedings{gaim-etal-2023-tiquad,
+    title = "{Question-Answering in a Low-resourced Language: Benchmark Dataset and Models for Tigrinya}",
+    author = "Fitsum Gaim and Wonsuk Yang and Hancheol Park and Jong C. Park",
+    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
+    month = jul,
+    year = "2023",
+    address = "Toronto, Canada",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2023.acl-long.661",
+    pages = "11857--11870",
+}
+"""
+
+_LICENSE = "Creative Commons Attribution-ShareAlike 4.0"
+
+_DATA_PATHS = {
+    "train": "data/Tigrinya-SQuAD-v1-train.json",
+}
+
+
+class TigrinyaSQuADConfig(datasets.BuilderConfig):
+    """BuilderConfig for Tigrinya-SQuAD"""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for Tigrinya-SQuAD.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(TigrinyaSQuADConfig, self).__init__(**kwargs)
+
+
+class TigrinyaSQuAD(datasets.GeneratorBasedBuilder):
+    """Tigrinya-SQuAD dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "title": datasets.Value("string"),
+                    "context": datasets.Value("string"),
+                    "question": datasets.Value("string"),
+                    "answers": datasets.features.Sequence(
+                        {
+                            "text": datasets.Value("string"),
+                            "answer_start": datasets.Value("int32"),
+                        }
+                    ),
+                }
+            ),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+            license=_LICENSE,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        downloaded_files = dl_manager.download_and_extract(_DATA_PATHS)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": downloaded_files["train"]},
+            )
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields Tigrinya-SQuAD examples."""
+        with open(filepath, encoding="utf-8") as fin:
+            squad_data = json.load(fin)
+            for example in squad_data["data"]:
+                title = example.get("title", "")
+                for paragraph in example["paragraphs"]:
+                    context = paragraph["context"]
+                    for qa in paragraph["qas"]:
+                        _id = qa["id"]
+                        answers = [
+                            {
+                                "text": answer["text"],
+                                "answer_start": answer["answer_start"],
+                            }
+                            for answer in qa["answers"]
+                        ]
+                        yield (
+                            _id,
+                            {
+                                "id": _id,
+                                "title": title,
+                                "context": context,
+                                "question": qa["question"],
+                                "answers": answers,
+                            },
+                        )