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README.md

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+
+---
+
+dataset_info:
+  features:
+  - name: score
+    dtype: float32
+  - name: Fulah
+    dtype: string
+  - name: Oromo
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 15185752
+    num_examples: 92794
+  download_size: 15185752
+  dataset_size: 15185752
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: Fulah-Oromo_Sentence-Pairs.csv
+
+---
+# Fulah-Oromo_Sentence-Pairs Dataset
+
+This dataset contains sentence pairs for African languages along with similarity scores. It can be used for machine translation, sentence alignment, or other natural language processing tasks.
+
+This dataset is based on the NLLBv1 dataset, published on OPUS under an open-source initiative led by META. You can find more information here: [OPUS - NLLB-v1](https://opus.nlpl.eu/legacy/NLLB-v1.php)
+
+## Metadata
+- **File Name**: Fulah-Oromo_Sentence-Pairs
+- **Number of Rows**: 92794
+- **Number of Columns**: 3
+- **Columns**: score, Fulah, Oromo
+
+## Dataset Description
+
+The dataset contains sentence pairs in African languages with an associated similarity score. Each row consists of three columns:
+1. `score`: The similarity score between the two sentences (range from 0 to 1).
+2. `Fulah`: The first sentence in the pair (language 1).
+3. `Oromo`: The second sentence in the pair (language 2).
+
+This dataset is intended for use in training and evaluating machine learning models for tasks like translation, sentence similarity, and cross-lingual transfer learning.
+
+## References
+
+Below are papers related to how the data was collected and used in various multilingual and cross-lingual applications:
+
+[1] Holger Schwenk and Matthijs Douze, Learning Joint Multilingual Sentence Representations with Neural Machine Translation, ACL workshop on Representation Learning for NLP, 2017
+
+[2] Holger Schwenk and Xian Li, A Corpus for Multilingual Document Classification in Eight Languages, LREC, pages 3548-3551, 2018.
+
+[3] Holger Schwenk, Filtering and Mining Parallel Data in a Joint Multilingual Space ACL, July 2018
+
+[4] Alexis Conneau, Guillaume Lample, Ruty Rinott, Adina Williams, Samuel R. Bowman, Holger Schwenk and Veselin Stoyanov, XNLI: Cross-lingual Sentence Understanding through Inference, EMNLP, 2018.
+
+[5] Mikel Artetxe and Holger Schwenk, Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings arXiv, Nov 3 2018.
+
+[6] Mikel Artetxe and Holger Schwenk, Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond arXiv, Dec 26 2018.
+
+[7] Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman, WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia arXiv, July 11 2019.
+
+[8] Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave and Armand Joulin CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB
+
+[9] Paul-Ambroise Duquenne, Hongyu Gong, Holger Schwenk, Multimodal and Multilingual Embeddings for Large-Scale Speech Mining, NeurIPS 2021, pages 15748-15761.
+
+[10] Kevin Heffernan, Onur Celebi, and Holger Schwenk, Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages
+