README.md

metadata

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 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}