--- language: - te license: cc-by-4.0 multilinguality: - monolingual source_datasets: - NanoFiQA2018 task_categories: - text-retrieval task_ids: - document-retrieval tags: - text-retrieval dataset_info: - config_name: corpus features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 10918259 num_examples: 4598 download_size: 4086406 dataset_size: 10918259 - config_name: qrels features: - name: query-id dtype: string - name: corpus-id dtype: string splits: - name: train num_bytes: 2200 num_examples: 123 download_size: 2480 dataset_size: 2200 - config_name: queries features: - name: _id dtype: string - name: text dtype: string splits: - name: train num_bytes: 9212 num_examples: 50 download_size: 6494 dataset_size: 9212 configs: - config_name: corpus data_files: - split: train path: corpus/train-* - config_name: qrels data_files: - split: train path: qrels/train-* - config_name: queries data_files: - split: train path: queries/train-* --- # Bharat-NanoBEIR: Indian Language Information Retrieval Dataset ## Overview This dataset is part of the Bharat-NanoBEIR collection, which provides information retrieval datasets for Indian languages. It is derived from the NanoBEIR project, which offers smaller versions of BEIR datasets containing 50 queries and up to 10K documents each. ## Dataset Description This particular dataset is the Telugu version of the NanoFiQA2018 dataset, specifically adapted for information retrieval tasks. The translation and adaptation maintain the core structure of the original NanoBEIR while making it accessible for Telugu language processing. ## Usage This dataset is designed for: - Information Retrieval (IR) system development in Telugu - Evaluation of multilingual search capabilities - Cross-lingual information retrieval research - Benchmarking Telugu language models for search tasks ## Dataset Structure The dataset consists of three main components: 1. **Corpus**: Collection of documents in Telugu 2. **Queries**: Search queries in Telugu 3. **QRels**: Relevance judgments connecting queries to relevant documents ## Citation If you use this dataset, please cite: ``` @misc{bharat-nanobeir, title={Bharat-NanoBEIR: Indian Language Information Retrieval Datasets}, year={2024}, url={https://huggingface.co/datasets/carlfeynman/Bharat_NanoFiQA2018_te} } ``` ## Additional Information - **Language**: Telugu (te) - **License**: CC-BY-4.0 - **Original Dataset**: NanoBEIR - **Domain**: Information Retrieval ## License This dataset is licensed under CC-BY-4.0. Please see the LICENSE file for details.