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--- |
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language: |
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- ml |
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license: cc |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- conversational |
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dataset_info: |
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features: |
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- name: inputs |
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dtype: string |
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- name: targets |
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dtype: string |
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- name: template_lang |
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dtype: string |
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- name: template_id |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 725805 |
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num_examples: 1156 |
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download_size: 315813 |
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dataset_size: 725805 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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### Description |
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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. |
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IndicSentiment is a multilingual parallel dataset for sentiment analysis. It encompasses product reviews, translations into Indic languages, sentiment labels, and more. |
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The original dataset(IndicSentiment) was made available under the cc-0 license. |
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This dataset comprises a singular split (train) and encompasses over 1150+ rows. |
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### Template |
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The following template was used for converting the original dataset: |
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``` |
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#Template 1 |
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prompt: |
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Translate from English to {target_language}: |
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{ENGLISH_REVIW} |
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completion: |
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{INDIC_REVIEW} |
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``` |
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``` |
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#Template 2 |
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prompt: |
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Translate this sentence to {target_language}: |
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{ENGLISH_REVIW} |
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completion: |
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{INDIC_REVIEW} |
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``` |
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``` |
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#Template 3 |
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prompt: |
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What's the {target_language} translation of this language: |
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{ENGLISH_REVIW} |
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completion: |
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{INDIC_REVIEW} |
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``` |
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``` |
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#Template 4 |
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prompt: |
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Can you translate this text to {target_language}: |
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{ENGLISH_REVIW} |
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completion: |
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{INDIC_REVIEW} |
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``` |