license:mit size_categories:n<1K format:csv modality:text library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# TextToTextSummarization

tags: Summarization, Extractive, Abstractive

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'TextToTextSummarization' dataset is a collection of texts paired with their corresponding summaries. This dataset aims to support the development and evaluation of machine learning models for both extractive and abstractive text summarization tasks. Extractive summarization involves selecting significant sentences or fragments from the original text to form a summary, whereas abstractive summarization generates new sentences, often in a different structure, that condense the main points of the text.

The dataset comprises varied sources of text, including news articles, research papers, and blog posts, each annotated with either extractive or abstractive summaries. The 'labels' column indicates the type of summarization task (extractive or abstractive) each text pair is associated with.

**CSV Content Preview:**

```csv
title,text,labels,summary
"Breaking News: SpaceX Launch Successful","Today, SpaceX successfully launched its Falcon 9 rocket carrying a satellite into orbit.","Extractive","Today, SpaceX successfully launched its Falcon 9 rocket carrying a satellite into orbit."
"Quantum Computing Advances","Researchers at MIT have made significant advancements in quantum computing, potentially speeding up complex calculations.","Abstractive","Researchers have made significant advancements in quantum computing, potentially speeding up complex calculations."
"Healthcare Trends in 2023","The healthcare industry is seeing a shift towards telemedicine and personalized medicine, driven by technology and patient needs.","Extractive","The healthcare industry is seeing a shift towards telemedicine and personalized medicine, driven by technology and patient needs."
"Future of Transportation","Self-driving cars and electric vehicles are leading the way in the future of transportation, promising a cleaner and safer commute.","Abstractive","Self-driving cars and electric vehicles are leading the way in the future of transportation, promising a cleaner and safer commute."
"Climate Change Discussions","International leaders met to discuss strategies for combating climate change, emphasizing the need for global cooperation.","Extractive","International leaders met to discuss strategies for combating climate change, emphasizing the need for global cooperation."
```

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'text to text':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=text+to+text&dataset=TextToTextSummarization&tags=Summarization,+Extractive,+Abstractive
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
