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) |