language:hi license:cc size_categories:1K<n<10K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
language:
- hi
license: cc
size_categories:
- 1K<n<10K
task_categories:
- conversational
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: 634314
    num_examples: 1156
  download_size: 289336
  dataset_size: 634314
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 [IndicSentiment](https://huggingface.co/datasets/ai4bharat/IndicSentiment) dataset of AI4Bharat to create an instruction style dataset. 

IndicSentiment is a multilingual parallel dataset for sentiment analysis. It encompasses product reviews, translations into Indic languages, sentiment labels, and more. 
The original dataset(IndicSentiment) was made available under the cc-0 license. 

This dataset comprises a singular split (train) and encompasses over 1150+ rows.

### Template

The following template was used for converting the original dataset:

```
#Template 1
prompt:
Translate from English to {target_language}:
{ENGLISH_REVIW}

completion:
{INDIC_REVIEW}
```
```
#Template 2
prompt:
Translate this sentence to {target_language}:
{ENGLISH_REVIW}

completion:
{INDIC_REVIEW}
```
```
#Template 3
prompt:
What's the {target_language} translation of this language:
{ENGLISH_REVIW}

completion:
{INDIC_REVIEW}
```
```
#Template 4
prompt:
Can you translate this text to {target_language}:
{ENGLISH_REVIW}

completion:
{INDIC_REVIEW}
```