File size: 1,633 Bytes
07684e0 7689b9a e5ceceb 7689b9a e5ceceb 07684e0 7689b9a 1081258 7689b9a 1081258 7689b9a 1081258 7689b9a 1081258 7689b9a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
---
language:
- mr
license: cc
size_categories:
- 1K<n<10K
task_categories:
- conversational
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
- name: template_lang
dtype: string
- name: template_id
dtype: int64
splits:
- name: train
num_bytes: 647522
num_examples: 1156
download_size: 296462
dataset_size: 647522
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
### 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 comprises a singular split (train) and encompasses over 1150+ rows.
### 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}
``` |