---
language:
- awa
license: cc-by-4.0
multilinguality:
- monolingual
source_datasets:
- NanoHotpotQA
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: 4413154
    num_examples: 5090
  download_size: 1915853
  dataset_size: 4413154
- config_name: qrels
  features:
  - name: query-id
    dtype: string
  - name: corpus-id
    dtype: string
  splits:
  - name: train
    num_bytes: 3885
    num_examples: 100
  download_size: 3233
  dataset_size: 3885
- config_name: queries
  features:
  - name: _id
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 11729
    num_examples: 50
  download_size: 7959
  dataset_size: 11729
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 Awadhi 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 Awadhi language processing.

## Usage
This dataset is designed for:
- Information Retrieval (IR) system development in Awadhi
- Evaluation of multilingual search capabilities
- Cross-lingual information retrieval research
- Benchmarking Awadhi language models for search tasks

## Dataset Structure
The dataset consists of three main components:
1. **Corpus**: Collection of documents in Awadhi
2. **Queries**: Search queries in Awadhi
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_awa}
}
```

## Additional Information
- **Language**: Awadhi (awa)
- **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.