Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
csv
Sub-tasks:
language-modeling
Languages:
Hindi
Size:
10K - 100K
Tags:
generation
License:
annotations_creators: | |
- expert-generated | |
language: | |
- hi | |
language_creators: | |
- expert-generated | |
license: | |
- cc-by-sa-4.0 | |
multilinguality: | |
- monolingual | |
pretty_name: Hindi Article Summarization | |
size_categories: | |
- 10K<n<100K | |
source_datasets: | |
- https://www.kaggle.com/datasets/disisbig/hindi-text-short-summarization-corpus | |
tags: | |
- generation | |
task_categories: | |
- text-generation | |
task_ids: | |
- language-modeling | |
# Summary | |
`hindi-article-summarization` is an open source dataset of instruct-style records generated from the [Hindi Text Short and Large Summarization](https://www.kaggle.com/datasets/disisbig/hindi-text-short-and-large-summarization-corpus) dataset. This was created as part of [Aya Open Science Initiative](https://sites.google.com/cohere.com/aya-en/home) from Cohere For AI. | |
This dataset can be used for any purpose, whether academic or commercial, under the terms of the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) License. | |
Supported Tasks: | |
- Training LLMs | |
- Synthetic Data Generation | |
- Data Augmentation | |
Languages: Hindi Version: 1.0 | |
# Dataset Overview | |
`hindi-article-summarization` is a corpus of records generated by conversion of [Hindi Text Short and Large Summarization](https://www.kaggle.com/datasets/disisbig/hindi-text-short-and-large-summarization-corpus) dataset into Instruct-Style format. This Dataset can be used for the following task: | |
- Given an article, generate its summary. | |
# Intended Uses | |
While immediately valuable for instruction fine tuning large language models, as a corpus of instruction prompts, this dataset also presents a valuable opportunity for synthetic data generation in the methods. For example, prompt-completions could be submitted as few-shot examples to a large open language model to generate sentence and corresponding paraphrased sentence. | |
# Dataset | |
## Load with Datasets | |
To load this dataset with Datasets, you'll just need to install Datasets as `pip install datasets --upgrade` and then use the following code: | |
```python | |
from datasets import load_dataset | |
ds = load_dataset('ganeshjcs/hindi-article-summarization') | |
``` | |
## Purpose of Collection | |
This was created as a part of [Aya Open Science Initiative](https://sites.google.com/cohere.com/aya-en/home) from Cohere For AI to make sure Hindi is well represented in the space of AI/ML. This dataset can be used, modified, and extended for any purpose, including academic or commercial applications. | |
## Sources | |
- **[Hindi Text Short and Large Summarization Corpus](https://www.kaggle.com/datasets/disisbig/hindi-text-short-and-large-summarization-corpus)**: Converted this dataset into Instruct-style prompts and completions. | |
## Data Fields | |
- `inputs` : Prompt or input to the language model. | |
- `targets` : Completion or output of the language model. | |
- `template_id` : Id of the template used in `inputs` and `targets`. | |
- `template_lang`: ISO code of the language used in the `inputs` and `targets` where *hin* refers to Hindi. | |
## Templates | |
For the creation of instruct-style prompts and completions from the original dataset, the following one template category with 6 different variations were used: | |
1. Given a sentence, generate a sentence with similar meaning. | |
| template_id | inputs | targets | | |
|-------------|--------|---------| | |
| 0 | ```इस पाठ का सारांश बनाओ: {{Article}}``` | ```संक्षिप्त सारांश: {{Summary}}``` | | |
| 1 | ```इस पाठ का सारांश बनाओ: {Article}}``` | ``` {{Summary}}``` | | |
| 2 | ```इस पाठ का सारांश बनाएं: {{Article}}``` | ```यह एक सारांश है: {{Summary}}``` | | |
| 3 | ```इस के लिए एक सारांश बनाएं: {{Article}}``` | ```दिए गए पाठ का सारांश यह हो सकता है: {{Summary}}``` | | |
| 4 | ```इस पाठ का सारांश बनाएं: {{Article}}``` | ```यहाँ एक सारांश है: {{Summary}}``` | | |
| 5 | ```एक सारांश बनाओ: {{Article}}``` | ```सारांश: {{Summary}}``` | | |
| 6 | ```दिए गए पाठ के लिए एक सारांश बनाएं: {{Article}}``` | ```{{Summary}}``` | | |
| 7 | ```इस पाठ का सारांश बनाएं: {{Article}}``` | ```सारांश: {{Summary}}``` | | |
| 8 | ```एक सारांश बनाओ: {{Article}}``` | ```संक्षिप्त सारांश: {{Summary}}``` | | |
| 9 | ```दिए गए पाठ के लिए एक सारांश बनाएं: {{Article}}``` | ```यह एक सारांश है: {{Summary}}``` | | |
| 10 | ```दिए गए पाठ के लिए एक सारांश बनाएं: {{Article}}``` | ```संक्षिप्त सारांश: {{Summary}}``` | | |
| 11 | ```इस पाठ का सारांश बनाओ: {{Article}}``` | ```दिए गए पाठ का सारांश यह हो सकता है: {{Summary}}``` | | |
| 12 | ```दिए गए पाठ के लिए एक सारांश बनाएं: {{Article}}``` | ```यहाँ एक सारांश है: {{Summary}}``` | | |
| 13 | ```इस पाठ का सारांश बनाएं: {{Article}}``` | ```संक्षिप्त पाठ: {{Summary}}``` | | |
| 14 | ```इस के लिए एक सारांश बनाएं: {{Article}}``` | ```संक्षिप्त पाठ: {{Summary}}``` | | |
| 15 | ```एक सारांश बनाओ: {{Article}}``` | ```यहाँ एक सारांश है: {{Summary}}``` | | |
| 16 | ```इस के लिए एक सारांश बनाएं: {{Article}}``` | ```यह एक सारांश है: {{Summary}}``` | | |
| 17 | ```इस के लिए एक सारांश बनाएं: {{Article}}``` | ```यहाँ एक सारांश है: {{Summary}}``` | | |
| 18 | ```इस पाठ का सारांश बनाओ: {{Article}}``` | ```यहाँ एक सारांश है: {{Summary}}``` | | |
| 19 | ```दिए गए पाठ के लिए एक सारांश बनाएं: {{Article}}``` | ```दिए गए पाठ का सारांश यह हो सकता है: {{Summary}}``` | | |
| 20 | ```दिए गए पाठ के लिए एक सारांश बनाएं: {{Article}}``` | ```सारांश: {{Summary}}``` | | |
| 21 | ```एक सारांश बनाओ: {{Article}}``` | ```यह एक सारांश है: {{Summary}}``` | | |
| 22 | ```दिए गए पाठ के लिए एक सारांश बनाएं: {{Article}}``` | ```संक्षिप्त पाठ: {{Summary}}``` | | |
| 23 | ```इस के लिए एक सारांश बनाएं: {{Article}}``` | ```संक्षिप्त सारांश: {{Summary}}``` | | |
| 24 | ```इस पाठ का सारांश बनाओ: {{Article}}``` | ```यह एक सारांश है: {{Summary}}``` | | |
| 25 | ```इस पाठ का सारांश बनाएं: {{Article}}``` | ```दिए गए पाठ का सारांश यह हो सकता है: {{Summary}}``` | | |
| 26 | ```एक सारांश बनाओ: {{Article}}``` | ```{{Summary}}``` | | |
| 27 | ```इस पाठ का सारांश बनाओ: {{Article}}``` | ```संक्षिप्त पाठ: {{Summary}}``` | | |
| 28 | ```इस के लिए एक सारांश बनाएं: {{Article}}``` | ```{{Summary}}``` | | |
| 29 | ```इस पाठ का सारांश बनाएं: {{Article}}``` | ```संक्षिप्त सारांश: {{Summary}}``` | | |
| 30 | ```एक सारांश बनाओ: {{Article}}``` | ```संक्षिप्त पाठ: {{Summary}}``` | | |
| 31 | ```इस के लिए एक सारांश बनाएं: {{Article}}``` | ```सारांश: {{Summary}}``` | | |
| 32 | ```एक सारांश बनाओ: {{Article}}``` | ```दिए गए पाठ का सारांश यह हो सकता है: {{Summary}}``` | | |
| 33 | ```इस पाठ का सारांश बनाओ: {{Article}}``` | ```सारांश: {{Summary}}``` | | |
| 34 | ```इस पाठ का सारांश बनाएं: {{Article}}``` | ```{{Summary}}``` | | |
## Personal or Sensitive Data | |
This dataset contains public information. To our knowledge, there are no private person’s personal identifiers or sensitive information. | |
## Language | |
Hindi | |
# Known Limitations | |
- The Dataset is converted from the existing dataset and the contents of this dataset may reflect the bias, factual errors and sensitive matters. | |
- Although there is utmost care taken to keep the dataset as monolingual, there might be some records that may contain English Language along with Hindi. | |
# Contributors | |
[Ganesh Jagadeesan](https://github.com/ElefHead) |