Upload README.md with huggingface_hub
Browse files
README.md
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
tags:
|
| 4 |
+
- infinite-dataset-hub
|
| 5 |
+
- synthetic
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
# ParaProofCollector
|
| 9 |
+
|
| 10 |
+
tags: ML, evidence extraction, knowledge discovery
|
| 11 |
+
|
| 12 |
+
_Note: This is an AI-generated dataset so its content may be inaccurate or false_
|
| 13 |
+
|
| 14 |
+
**Dataset Description:** The 'ParaProofCollector' dataset is curated for machine learning practitioners aiming to extract evidence from paragraphs for various applications such as knowledge discovery, information retrieval, and sentiment analysis. Each entry in the dataset consists of a paragraph followed by its associated labels, which signify the type of evidence or information that the paragraph provides. The dataset labels are diverse, reflecting different types of knowledge and claims that can be extracted.
|
| 15 |
+
|
| 16 |
+
**CSV Content Preview:**
|
| 17 |
+
|
| 18 |
+
```
|
| 19 |
+
Title,Paragraph,Label
|
| 20 |
+
"The Health Benefits of Green Tea","Green tea is widely known for its antioxidant properties, which can help reduce the risk of cancer and heart disease. Studies have shown that the catechins in green tea, particularly epigallocatechin gallate (EGCG), can inhibit the growth of cancer cells.",BeneficialFacts
|
| 21 |
+
"Economic Growth in Emerging Markets","Over the past decade, emerging markets have shown significant economic growth. Factors contributing to this growth include increased foreign investment, improved governance, and a growing middle class.",EconomicTrend
|
| 22 |
+
"Climate Change Effects on Polar Regions","Recent research indicates that climate change is having a profound effect on polar regions. The loss of ice and snow is not only a visual indicator but also contributes to global sea-level rise.",EnvironmentalImpact
|
| 23 |
+
"Advancements in AI Technology","AI technology has been advancing rapidly, with recent breakthroughs in natural language processing and machine learning algorithms. These advancements are opening up new possibilities in various fields including healthcare, finance, and autonomous vehicles.",TechnologicalProgress
|
| 24 |
+
"The Role of Artificial Intelligence in Education","Artificial intelligence is increasingly being used in education to provide personalized learning experiences and improve access to quality education. AI can help in analyzing student data to identify learning patterns and provide targeted support.",EducationalInnovation
|
| 25 |
+
```
|
| 26 |
+
|
| 27 |
+
In the CSV content above, the 'Label' column represents the category or type of evidence the paragraph provides. Each label reflects a specific aspect or claim that can be inferred from the text, suitable for training a machine learning model to recognize and categorize evidence within paragraphs.
|
| 28 |
+
|
| 29 |
+
**Source of the data:**
|
| 30 |
+
|
| 31 |
+
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 '':
|
| 32 |
+
|
| 33 |
+
- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=ParaProofCollector&tags=ML,+evidence+extraction,+knowledge+discovery
|
| 34 |
+
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
|
| 35 |
+
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
|