README.md

metadata

language:
  - as
  - bn
  - hi
  - kn
  - mr
  - ml
  - or
  - ta
  - te
  - ur
configs:
  - config_name: default
    data_files:
      - path: test/*.jsonl.gz
        split: test
      - path: train/*.jsonl.gz
        split: train
  - config_name: bd
    data_files:
      - path: test/bd.jsonl.gz
        split: test
      - path: train/bd.jsonl.gz
        split: train
  - config_name: ta
    data_files:
      - path: test/ta.jsonl.gz
        split: test
      - path: train/ta.jsonl.gz
        split: train
  - config_name: te
    data_files:
      - path: test/te.jsonl.gz
        split: test
      - path: train/te.jsonl.gz
        split: train
  - config_name: kn
    data_files:
      - path: test/kn.jsonl.gz
        split: test
      - path: train/kn.jsonl.gz
        split: train
  - config_name: ml
    data_files:
      - path: test/ml.jsonl.gz
        split: test
      - path: train/ml.jsonl.gz
        split: train
  - config_name: as
    data_files:
      - path: test/as.jsonl.gz
        split: test
      - path: train/as.jsonl.gz
        split: train
  - config_name: gu
    data_files:
      - path: test/gu.jsonl.gz
        split: test
      - path: train/gu.jsonl.gz
        split: train
  - config_name: hi
    data_files:
      - path: test/hi.jsonl.gz
        split: test
      - path: train/hi.jsonl.gz
        split: train
  - config_name: or
    data_files:
      - path: test/or.jsonl.gz
        split: test
      - path: train/or.jsonl.gz
        split: train
  - config_name: pa
    data_files:
      - path: test/pa.jsonl.gz
        split: test
      - path: train/pa.jsonl.gz
        split: train
  - config_name: bn
    data_files:
      - path: test/bn.jsonl.gz
        split: test
      - path: train/bn.jsonl.gz
        split: train
  - config_name: mr
    data_files:
      - path: test/mr.jsonl.gz
        split: test
      - path: train/mr.jsonl.gz
        split: train
  - config_name: ur
    data_files:
      - path: test/ur.jsonl.gz
        split: test
      - path: train/ur.jsonl.gz
        split: train

Indic Sentiment Analysis

Description

The Indic Sentiment Analysis dataset contains reviews from various categories and sub-categories in multiple Indic languages. Each review is labeled with sentiment polarity (positive, negative, or neutral).

Dataset Structure

Data Fields

• CATEGORY: The broad category to which the review belongs.
• SUB-CATEGORY: The sub-category within the main category.
• PRODUCT: The specific product or service being reviewed.
• BRAND: The brand associated with the product or service.
• ASPECTS: Different aspects or features of the product or service being reviewed.
• ASPECT COMBO: Combinations of aspects that are discussed in the review.
• ENGLISH REVIEW: The review text in English.
• LABEL: The sentiment label assigned to the review (positive, negative, or neutral).
• INDIC REVIEW: The review text translated into various Indic languages.