File size: 1,943 Bytes
2dcfff3 1c18609 be84edd 1c18609 2b07975 be84edd 2dcfff3 1c18609 9a6d0cb 1c18609 cd58f5f 1c18609 cd58f5f 1c18609 cd58f5f 1c18609 2b07975 |
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 |
---
language:
- ml
license: cc
size_categories:
- n<1K
source_datasets:
- extended|ai4bharat/IndicXParaphrase
task_categories:
- text-generation
pretty_name: Aya Paraphrase Malayalam
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: 710999
num_examples: 1001
download_size: 255190
dataset_size: 710999
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 [IndicXParaphrase](https://huggingface.co./datasets/ai4bharat/IndicXParaphrase) dataset of AI4Bharat to create this instruction style dataset.
We have used the malayalam split of the above mentioned dataset to create this one. This was created as part of [Aya Open Science Initiative](https://sites.google.com/cohere.com/aya-en/home) from Cohere For AI.
IndicXParaphrase is multilingual, and n-way parallel dataset for paraphrase detection in 10 Indic languages. The original dataset(IndicXParaphrase) was made available under the cc-0 license.
### Template
The following templates(Malayalam) where used for converting the original dataset:
```
#Template 1
prompt:
ഇനിപ്പറയുന്ന വാചകം വ്യത്യസ്ത വാക്കുകളിൽ എഴുതുക: "{original_sentence}"
completion:
{paraphrased_sentence}
```
```
#Template 2
prompt:
ഇനിപ്പറയുന്ന വാചകം മറ്റൊരു രീതിയിൽ എഴുതുക: "{original_sentence}"
completion:
{paraphrased_sentence}
```
```
#Template 3
prompt:
താഴെപ്പറയുന്ന വാചകം പരാവർത്തനം ചെയ്യുക: "{original_sentence}"
completion:
{paraphrased_sentence}
``` |