README.md

---
license: cc
task_categories:
- conversational
language:
- bn
- gu
- hi
- kn
- ml
- mr
- pa
- ta
- te
- ur
pretty_name: Aya-Indicsentiment
size_categories:
- 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: bn
        path: data/bn.parquet
      - split: guj
        path: data/guj.parquet
      - split: hn
        path: data/hn.parquet
      - split: kn
        path: data/kn.parquet
      - split: ml
        path: data/ml.parquet
      - split: mr
        path: data/mr.parquet
      - split: pa
        path: data/pa.parquet
      - split: ta
        path: data/ta.parquet
      - split: te
        path: data/te.parquet
      - split: ur
        path: data/ur.parquet       
---

### 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 contains 10 split with 1150+ rows each.Each split corresponds to a language.

### 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}
```