README.md

---
language:
- hi
license: cc
size_categories:
- n<1K
source_datasets:
- extended|ai4bharat/IndicXParaphrase
task_categories:
- text-generation
pretty_name: Aya Paraphrase Hindi
dataset_info:
  features:
  - name: inputs
    dtype: string
  - name: targets
    dtype: string
  - name: template_lang
    dtype: string
  - name: template_id
    dtype: int64
  splits:
  - name: train
    num_bytes: 644888
    num_examples: 1001
  download_size: 231804
  dataset_size: 644888
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

### Description

This dataset is derived from the already existing dataset made by AI4Bharat. We have used the [IndicXParaphrase](https://huggingface.co./datasets/ai4bharat/IndicXParaphrase) dataset of AI4Bharat to create this instruction style dataset. 
We have used the malayalam split of the above mentioned dataset to create this one. This was created as part of [Aya Open Science Initiative](https://sites.google.com/cohere.com/aya-en/home) from Cohere For AI.

IndicXParaphrase is multilingual, and n-way parallel dataset for paraphrase detection in 10 Indic languages. The original dataset(IndicXParaphrase) was made available under the cc-0 license. 


### Template
The following templates(Hindi) where used for converting the original dataset:
```
#Template 1
prompt:
दुसरे शब्दों का प्रयोग करके इस वाक्य को लिखिए:  "{original_sentence}"

completion:
{paraphrased_sentence}
```
```
#Template 2
prompt:
इस वाक्य को अन्य तरीके से फिर से लिखिए:  "{original_sentence}"

completion:
{paraphrased_sentence}
```
```
#Template 3
prompt:
निम्नलिखित वाक्य का अर्थ बदले बिना उसे दोबारा लिखिए: "{original_sentence}"

completion:
{paraphrased_sentence}
```

### Acknowledgement
Thank you, Ganesh Jagadeesan for helping with the preparation of this dataset by providing the Hindi translation of the above mentioned English prompts.