carlfeynman/Bharat_NanoHotpotQA_te

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 NanoHotpotQA 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_NanoHotpotQA_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.