README.md · el2e10/aya-paraphrase-hindi at main

metadata

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 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 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.