---
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}
}
```