--- annotations_creators: - expert-generated language: - te language_creators: - expert-generated license: - apache-2.0 multilinguality: - monolingual pretty_name: Telugu Food Recipes size_categories: - n<1K source_datasets: - original tags: - food - recipes task_categories: - text-generation task_ids: - language-modeling --- # Summary `aya-telugu-food-recipes` is an open source dataset of instruct-style records generated by webscraping a Telugu food recipes website. 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 [Apache 2.0](https://opensource.org/license/apache-2-0) License. Supported Tasks: - Training LLMs - Synthetic Data Generation - Data Augmentation Languages: Telugu Version: 1.0 # Dataset Overview `aya-telugu-food-recipes` is a corpus of more than 400 records generated by webscraping of the Telugu Food Recipes Website. This Dataset can be used for the following task: - Given the name of the food item, generates the detailed recipe along with the ingredients. # 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 additional food recipes. # 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('SuryaKrishna02/aya-telugu-food-recipes') ``` ## Purpose of Collection Telugu is a low-resource language where there no food recipes instruct-style dataset to the best of my knowledge. 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 Telugu is well represented in the space of AI/ML. Unlike other datasets that are limited to non-commercial use, this dataset can be used, modified, and extended for any purpose, including academic or commercial applications. ## Sources - **Andhrajyothi Website**: Performed webscraping from [Andhrajyothi Website](https://www.andhrajyothy.com/vantalu) which is a famous telugu website consisting of food recipes in the following categories: 1. తీపి వంటలు 2. పచ్చళ్లు 3. శాకాహారం 4. మాంసాహారం - Next, performed some pre-processing of the data like removing unwanted characters, extracting ingredients and cooking instructions seperately from the scraped data. Finally, converted the scraped data into Instruct-style prompts and completions. ## Templates For the creation of instruct-style prompts and completions from the scraped data, the following one template was used: 1. Given the name of the food item, generates the detailed recipe along with the ingredients. ```python Prompt: ("{{Food Item}} ఎలా తయారు చేస్తారో క్లుప్తంగా ఇవ్వండి." / "మీరు {{Food Item}} తయారు చెయ్యడానికి ఎటువంటి తిండి పదార్ధాలు వాడుతురు మరియు ఏ విధముగా చేస్తారో వివరణ ఇవ్వండి." / "నేను {{Food Item}} చాలా రుచికరంగా ఉంటుంది అని విన్నాను. నాకు ఇది ఎలా చెయ్యాలో సంక్లిప్తంగా చెప్పు." / "మొదటిసారి వంట చేసేవారికి చెప్పినట్టు నాకు {{Food Item}} ఎలా చెయ్యాలొ చెప్పు" / "{{Food Item}} ఎలా చేయాలి? సమాధానం లో కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఉండాలి." / "{{Food Item}} ఎలా తయారు చేస్తాం?" / "{{Food Item}} రెసిపీ ఏంటి?") Completion: {{Food Item}} కి కావలసిన పదార్ధాలు మరియు తయారు చేసే విధానం ఇక్కడ ఇవ్వబడింది. కావలసిన పదార్థాలు: {{Ingredients}} తయారుచేసే విధానం: {{Cooking Instructions}} ``` ## Personal or Sensitive Data This dataset contains public information. To our knowledge, there are no private person’s personal identifiers or sensitive information. ## Language Telugu # Known Limitations - The Dataset is scraped from the food recipes website and the contents of this dataset may reflect the bias. - Although there is utmost care taken to keep the dataset as monolingual, there might be some records that may contain English Language along with Telugu. # Contributors [SuryaKrishna02](https://github.com/SuryaKrishna02) and [Desik98](https://github.com/desik1998)