Datasets:

Henok
/

amharic-qa

@@ -16,13 +16,6 @@ Amharic question and answer dataset in a prompt and completion format.
 ## Dataset Details
 In Amharic, interrogative sentences can be formulated using information-seeking pronouns like “ምን” (what), “መቼ” (when), “ማን” (who), “የት” (where), “የትኛው” (which), etc. and prepositional interrogative phrases like “ለምን” [ለ-ምን] (why), “በምን” [በ-ምን] (by what), etc. Besides, a verb phrase could be used to pose questions (Getahun 2013; Baye 2009). As shown bellow, the AmQA dataset contains context, question, and answer triplets. The contexts are articles collected from Amharic Wikipedia dump file. The question-answer pairs are created by crowdsourcing and annotated using the Haystack QA annotation tool. 2628 question and answer pairs are created from 378 documents. The whole AmQA dataset can be found here. We also split the datset into train, dev, and test with a size of 1728, 600, and 300 respectively.
-- **Curated by:** [Tilahun Abedissa, Ricardo Usbeck, Yaregal Assabie]
-- **Language(s) (NLP):** [Amharic]
-- **License:** [MIT]
 ### Dataset Sources
 <!-- Provide the basic links for the dataset. -->
@@ -30,7 +23,12 @@ In Amharic, interrogative sentences can be formulated using information-seeking
 - **Repository:** [https://github.com/semantic-systems/amharic-qa]
 - **Paper [optional]:** [https://arxiv.org/abs/2303.03290]
 ## Dataset Structure
 The dataset is restructured in a new JSON format of the following:
 ```

 ## Dataset Details
 In Amharic, interrogative sentences can be formulated using information-seeking pronouns like “ምን” (what), “መቼ” (when), “ማን” (who), “የት” (where), “የትኛው” (which), etc. and prepositional interrogative phrases like “ለምን” [ለ-ምን] (why), “በምን” [በ-ምን] (by what), etc. Besides, a verb phrase could be used to pose questions (Getahun 2013; Baye 2009). As shown bellow, the AmQA dataset contains context, question, and answer triplets. The contexts are articles collected from Amharic Wikipedia dump file. The question-answer pairs are created by crowdsourcing and annotated using the Haystack QA annotation tool. 2628 question and answer pairs are created from 378 documents. The whole AmQA dataset can be found here. We also split the datset into train, dev, and test with a size of 1728, 600, and 300 respectively.
 ### Dataset Sources
 <!-- Provide the basic links for the dataset. -->
 - **Repository:** [https://github.com/semantic-systems/amharic-qa]
 - **Paper [optional]:** [https://arxiv.org/abs/2303.03290]
+- **Curated by:** [Tilahun Abedissa, Ricardo Usbeck, Yaregal Assabie]
+- **Language(s) (NLP):** [Amharic]
+- **License:** [MIT]
 ## Dataset Structure
+The dataset is classified into 70% train, 20% test, and 10% dev datasets.
 The dataset is restructured in a new JSON format of the following:
 ```