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---
dataset_info:
features:
- name: doc_no
dtype: int64
- name: doc_text
dtype: string
- name: relevant_topic_nos
sequence: int64
- name: relevant_topic_titles
sequence: string
- name: relevant_topic_descriptions
sequence: string
- name: relevant_topic_narratives
sequence: string
splits:
- name: documents
num_bytes: 68777070
num_examples: 12587
download_size: 27722236
dataset_size: 68777070
configs:
- config_name: default
data_files:
- split: documents
path: data/documents-*
language:
- am
---
## Original Dataset and Paper
Original dataset: https://www.irit.fr/AmharicResources/airtc-the-amharic-adhoc-information-retrieval-test-collection/
> Evaluation is highly important for designing, developing, and maintaining information retrieval (IR) systems. The IR community has developed shared tasks where evaluation framework, evaluation measures and test collections have been developed for different languages. Although Amharic is the official language of Ethiopia currently having an estimated population of over 110 million, it is one of the under-resourced languages and there is no Amharic adhoc IR test collection to date. In this paper, we promote the monolingual Amharic IR test collection that we build for the IR community. Following the framework of Cranfield project and TREC, the collection that we named 2AIRTC consists of 12,583 documents, 240 topics and the corresponding relevance judgments.
```
@inproceedings{yeshambel20202airtc,
title={2AIRTC: The Amharic Adhoc Information Retrieval Test Collection},
author={Yeshambel, Tilahun and Mothe, Josiane and Assabie, Yaregal},
booktitle={International Conference of the Cross-Language Evaluation Forum for European Languages},
pages={55--66},
year={2020},
organization={Springer}
}
``` |