Duplicate from masakhane/afriqa

Co-authored-by: Odunayo Ogundepo <ToluClassics@users.noreply.huggingface.co>

.gitattributes

@@ -0,0 +1,54 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.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
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.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
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.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
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# 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

README.md

@@ -0,0 +1,208 @@
+---
+license: cc-by-sa-4.0
+task_categories:
+- question-answering
+language:
+- bem
+- fon
+- ha
+- ig
+- kin
+- sw
+- wo
+- yo
+- zu
+- tw
+pretty_name: AfriQA
+size_categories:
+- 10K<n<100K
+multilinguality:
+- multilingual
+tags:
+- cross-lingual
+- question-answering
+- qa
+---
+
+# Dataset Card for AfriQA
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** [homepage](https://github.com/masakhane-io/afriqa)
+- **Repository:** [github](https://github.com/masakhane-io/afriqa)
+- **Paper:** [paper]()
+- **Point of Contact:** [Masakhane](https://www.masakhane.io/) or oogundep@uwaterloo.ca
+
+### Dataset Summary
+
+AfriQA is the first cross-lingual question answering (QA) dataset with a focus on African languages. The dataset includes over 12,000 XOR QA examples across 10 African languages, making it an invaluable resource for developing more equitable QA technology.
+
+The train/validation/test sets are available for all the 10 languages.
+
+
+### Supported Tasks and Leaderboards
+
+- `question-answering`: The performance in this task is measured with [F1](https://huggingface.co/metrics/f1) (higher is better) and [Exact Match Accuracy](https://huggingface.co/spaces/evaluate-metric/exact_match).
+
+### Languages
+
+There are 20 languages available :
+- Bemba (bem)
+- Fon (fon)
+- Hausa (hau)
+- Igbo (ibo)
+- Kinyarwanda (kin)
+- Swahili (swą)
+- Twi (twi)
+- Wolof (wol)
+- Yorùbá (yor)
+- Zulu (zul)
+
+## Dataset Structure
+
+### Data Instances
+
+- Data Format:
+- id : Question ID
+- question : Question in African Language
+- translated_question : Question translated into a pivot language (English/French)
+- answers : Answer in African Language
+- lang : Datapoint Language (African Language) e.g `bem`
+- split : Dataset Split
+- translated_answer : Answer in Pivot Language
+- translation_type : Translation type of question and answers
+
+
+```bash
+{   "id": 0, 
+    "question": "Bushe icaalo ca Egypt caali tekwapo ne caalo cimbi?", 
+    "translated_question": "Has the country of Egypt been colonized before?", 
+    "answers": "['Emukwai']", 
+    "lang": "bem", 
+    "split": "dev", 
+    "translated_answer": "['yes']", 
+    "translation_type": "human_translation"
+    }
+```
+
+### Data Splits
+
+For all languages, there are three splits.
+
+The original splits were named `train`, `dev` and `test` and they correspond to the `train`, `validation` and `test` splits.
+
+The splits have the following sizes :
+
+| Language        | train | dev | test |
+|-----------------|------:|-----------:|-----:|
+| Bemba         |  502 | 503 |  314 |
+| Fon          |  427 | 428 |  386 |
+| Hausa           |  435 | 436 |  300 |
+| Igbo            |  417 | 418 |  409 |
+| Kinyarwanda     	  |   407 |  409 |  347 |
+| Swahili       |  415 |   417 |  302 |
+| Twi          |  451 |   452 |  490 |
+| Wolof        |  503 |    504 |  334 |
+| Yoruba          |  360 |   361 |  332 |
+| Zulu        |  387 |    388 |  325 |
+| <b>Total</b>    |  <b>4333</b>  |  <b>4346</b>  |<b>3560</b>  |
+
+## Dataset Creation
+
+### Curation Rationale
+
+The dataset was introduced to introduce question-answering resources to 10 languages that were under-served for natural language processing.
+
+[More Information Needed]
+
+### Source Data
+
+...
+
+#### Initial Data Collection and Normalization
+
+...
+
+#### Who are the source language producers?
+
+...
+
+### Annotations
+
+#### Annotation process
+
+Details can be found here ...
+
+#### Who are the annotators?
+
+Annotators were recruited from [Masakhane](https://www.masakhane.io/)
+
+### Personal and Sensitive Information
+
+...
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+[More Information Needed]
+
+
+### Discussion of Biases
+[More Information Needed]
+
+
+### Other Known Limitations
+
+Users should keep in mind that the dataset only contains news text, which might limit the applicability of the developed systems to other domains.
+
+## Additional Information
+
+### Dataset Curators
+
+
+### Licensing Information
+
+The licensing status of the data is CC 4.0 Non-Commercial
+
+### Citation Information
+
+Provide the [BibTex](http://www.bibtex.org/)-formatted reference for the dataset. For example:
+
+```
+@misc{ogundepo2023afriqa,
+      title={AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages}, 
+      author={Odunayo Ogundepo and Tajuddeen R. Gwadabe and Clara E. Rivera and Jonathan H. Clark and Sebastian Ruder and David Ifeoluwa Adelani and Bonaventure F. P. Dossou and Abdou Aziz DIOP and Claytone Sikasote and Gilles Hacheme and Happy Buzaaba and Ignatius Ezeani and Rooweither Mabuya and Salomey Osei and Chris Emezue and Albert Njoroge Kahira and Shamsuddeen H. Muhammad and Akintunde Oladipo and Abraham Toluwase Owodunni and Atnafu Lambebo Tonja and Iyanuoluwa Shode and Akari Asai and Tunde Oluwaseyi Ajayi and Clemencia Siro and Steven Arthur and Mofetoluwa Adeyemi and Orevaoghene Ahia and Aremu Anuoluwapo and Oyinkansola Awosan and Chiamaka Chukwuneke and Bernard Opoku and Awokoya Ayodele and Verrah Otiende and Christine Mwase and Boyd Sinkala and Andre Niyongabo Rubungo and Daniel A. Ajisafe and Emeka Felix Onwuegbuzia and Habib Mbow and Emile Niyomutabazi and Eunice Mukonde and Falalu Ibrahim Lawan and Ibrahim Said Ahmad and Jesujoba O. Alabi and Martin Namukombo and Mbonu Chinedu and Mofya Phiri and Neo Putini and Ndumiso Mngoma and Priscilla A. Amuok and Ruqayya Nasir Iro and Sonia Adhiambo},
+      year={2023},
+      eprint={2305.06897},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
+
+### Contributions
+
+Thanks to [@ToluClassics](https://github.com/ToluClassics) for adding this dataset.

afriqa.py

@@ -0,0 +1,116 @@
+"""AfriQA dataset."""
+
+
+import json
+import os
+from textwrap import dedent
+
+import datasets
+
+
+_HOMEPAGE = "https://github.com/masakhane-io/afriqa"
+
+_DESCRIPTION = """\
+AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages
+
+AfriQA is the first cross-lingual question answering (QA) dataset with a focus on African languages. 
+The dataset includes over 12,000 XOR QA examples across 10 African languages, making it an invaluable resource for developing more equitable QA technology.
+"""
+
+_CITATION = """\
+
+"""
+
+_URL = "https://github.com/masakhane-io/afriqa/raw/main/data/queries/"
+
+_LANG_2_PIVOT = {
+    "bem": "en",
+    "fon": "fr",
+    "hau": "en",
+    "ibo": "en",
+    "kin": "en",
+    "swa": "en",
+    "twi": "en",
+    "wol": "fr",
+    "yor": "en",
+    "zul": "en",
+}
+
+class AfriQAConfig(datasets.BuilderConfig):
+    """BuilderConfig for AfriQA"""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for AfriQA.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(AfriQAConfig, self).__init__(**kwargs)
+
+
+class AfriQA(datasets.GeneratorBasedBuilder):
+    """AfriQA dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    BUILDER_CONFIGS = [
+        AfriQAConfig(name="bem", version=datasets.Version("1.0.0"), description="AfriQA Bemba dataset"),
+        AfriQAConfig(name="fon", version=datasets.Version("1.0.0"), description="AfriQA Fon dataset"),
+        AfriQAConfig(name="hau", version=datasets.Version("1.0.0"), description="AfriQA Hausa dataset"),
+        AfriQAConfig(name="ibo", version=datasets.Version("1.0.0"), description="AfriQA Igbo dataset"),
+        AfriQAConfig(name="kin", version=datasets.Version("1.0.0"), description="AfriQA Kinyarwanda dataset"),
+        AfriQAConfig(name="swa", version=datasets.Version("1.0.0"), description="AfriQA Swahili dataset"),
+        AfriQAConfig(name="twi", version=datasets.Version("1.0.0"), description="AfriQA Twi dataset"),
+        AfriQAConfig(name="wol", version=datasets.Version("1.0.0"), description="AfriQA Wolof dataset"),
+        AfriQAConfig(name="yor", version=datasets.Version("1.0.0"), description="AfriQA Yoruba dataset"),
+        AfriQAConfig(name="zul", version=datasets.Version("1.0.0"), description="AfriQA Zulu dataset"),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "question": datasets.Value("string"),
+                    "answers": datasets.Value("string"),
+                    "lang": datasets.Value("string"),
+                    "split": datasets.Value("string"),
+                    "translated_question": datasets.Value("string"),
+                    "translated_answer": datasets.Value("string"),
+                    "translation_type": datasets.Value("string"),
+                }
+            ),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        urls_to_download = {
+            "train": f"{_URL}{self.config.name}/queries.afriqa.{self.config.name}.{_LANG_2_PIVOT[self.config.name]}.train.json",
+            "dev": f"{_URL}{self.config.name}/queries.afriqa.{self.config.name}.{_LANG_2_PIVOT[self.config.name]}.dev.json",
+            "test": f"{_URL}{self.config.name}/queries.afriqa.{self.config.name}.{_LANG_2_PIVOT[self.config.name]}.test.json",
+        }
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        with open(filepath, encoding="utf-8-sig") as f:
+            for _, row in enumerate(f):
+                example = json.loads(row)
+                _id = example["id"]
+
+                yield _id, {
+                    "question": example["question"],
+                    "answers": example["answers"],
+                    "lang": example["lang"],
+                    "split": example["split"],
+                    "translated_question": example["translated_question"],
+                    "translated_answer": example["translated_answer"],
+                    "translation_type": example["translation_type"],
+                }