Datasets:
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Browse files- README.md +119 -0
- test/as.jsonl.gz +3 -0
- test/bd.jsonl.gz +3 -0
- test/bn.jsonl.gz +3 -0
- test/gu.jsonl.gz +3 -0
- test/hi.jsonl.gz +3 -0
- test/kn.jsonl.gz +3 -0
- test/ml.jsonl.gz +3 -0
- test/mr.jsonl.gz +3 -0
- test/or.jsonl.gz +3 -0
- test/pa.jsonl.gz +3 -0
- test/ta.jsonl.gz +3 -0
- test/te.jsonl.gz +3 -0
- test/ur.jsonl.gz +3 -0
- train/as.jsonl.gz +3 -0
- train/bd.jsonl.gz +3 -0
- train/bn.jsonl.gz +3 -0
- train/gu.jsonl.gz +3 -0
- train/hi.jsonl.gz +3 -0
- train/kn.jsonl.gz +3 -0
- train/ml.jsonl.gz +3 -0
- train/mr.jsonl.gz +3 -0
- train/or.jsonl.gz +3 -0
- train/pa.jsonl.gz +3 -0
- train/ta.jsonl.gz +3 -0
- train/te.jsonl.gz +3 -0
- train/ur.jsonl.gz +3 -0
README.md
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---
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language:
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- as
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- bn
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- hi
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- kn
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- mr
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- ml
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- or
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- ta
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- te
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- ur
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configs:
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- config_name: default
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data_files:
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- path: test/*.jsonl.gz
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split: test
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- path: train/*.jsonl.gz
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split: train
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- config_name: bd
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data_files:
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- path: IndicSentiment/test/bd.jsonl.gz
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split: test
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- path: IndicSentiment/train/bd.jsonl.gz
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split: train
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- config_name: ta
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data_files:
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- path: IndicSentiment/test/ta.jsonl.gz
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split: test
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- path: IndicSentiment/train/ta.jsonl.gz
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split: train
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- config_name: te
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data_files:
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- path: IndicSentiment/test/te.jsonl.gz
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split: test
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- path: IndicSentiment/train/te.jsonl.gz
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split: train
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- config_name: kn
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data_files:
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- path: IndicSentiment/test/kn.jsonl.gz
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split: test
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- path: IndicSentiment/train/kn.jsonl.gz
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split: train
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- config_name: ml
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data_files:
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- path: IndicSentiment/test/ml.jsonl.gz
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split: test
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- path: IndicSentiment/train/ml.jsonl.gz
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split: train
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- config_name: as
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data_files:
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- path: IndicSentiment/test/as.jsonl.gz
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split: test
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- path: IndicSentiment/train/as.jsonl.gz
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split: train
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- config_name: gu
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data_files:
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- path: IndicSentiment/test/gu.jsonl.gz
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split: test
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- path: IndicSentiment/train/gu.jsonl.gz
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split: train
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- config_name: hi
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data_files:
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- path: IndicSentiment/test/hi.jsonl.gz
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split: test
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- path: IndicSentiment/train/hi.jsonl.gz
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split: train
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- config_name: or
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data_files:
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- path: IndicSentiment/test/or.jsonl.gz
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split: test
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- path: IndicSentiment/train/or.jsonl.gz
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split: train
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- config_name: pa
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data_files:
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- path: IndicSentiment/test/pa.jsonl.gz
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split: test
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- path: IndicSentiment/train/pa.jsonl.gz
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split: train
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- config_name: bn
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data_files:
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- path: IndicSentiment/test/bn.jsonl.gz
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split: test
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- path: IndicSentiment/train/bn.jsonl.gz
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split: train
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- config_name: mr
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data_files:
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- path: IndicSentiment/test/mr.jsonl.gz
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split: test
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- path: IndicSentiment/train/mr.jsonl.gz
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split: train
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- config_name: ur
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data_files:
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- path: IndicSentiment/test/ur.jsonl.gz
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split: test
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- path: IndicSentiment/train/ur.jsonl.gz
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split: train
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---
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## Indic Sentiment Analysis
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## Description
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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).
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### Dataset Structure
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## Data Fields
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- CATEGORY: The broad category to which the review belongs.
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- SUB-CATEGORY: The sub-category within the main category.
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- PRODUCT: The specific product or service being reviewed.
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- BRAND: The brand associated with the product or service.
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- ASPECTS: Different aspects or features of the product or service being reviewed.
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- ASPECT COMBO: Combinations of aspects that are discussed in the review.
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- ENGLISH REVIEW: The review text in English.
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- LABEL: The sentiment label assigned to the review (positive, negative, or neutral).
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- INDIC REVIEW: The review text translated into various Indic languages.
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test/as.jsonl.gz
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test/bd.jsonl.gz
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test/bn.jsonl.gz
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test/ur.jsonl.gz
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