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Green Earth Question-Answer Dataset
Data Science and Analytics
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About
This dataset contains a collection of paragraphs, each paired with three related questions and three answers. The paragraphs primarily focus on themes within renewable energy, pollution, and broader environmental science. Each paragraph can be up to 350 words in length. The questions are diverse, including factual, descriptive, interrogative, definition, and enumeration types. The corresponding answers are designed to be concise, coherent, and easily understandable. This resource has been specifically curated and manually cleaned to facilitate the generation of extractive, subjective questions and answers from given text inputs.
Columns
- Paragraphs: Text content, predominantly from environmental science domains, up to 350 words. There are 4118 paragraphs in the dataset.
- Question1: The first question related to the paragraph. There are 4118 questions.
- Question2: The second question related to the paragraph. There are 4118 questions.
- Question3: The third question related to the paragraph. There are 4118 questions.
- Answer1: The concise answer to Question1. There are 4118 answers.
- Answer2: The concise answer to Question2. There are 4118 answers.
- Answer3: The concise answer to Question3. There are 4118 answers.
Distribution
The dataset is provided as a Comma-Separated Values (.csv) file. It contains 4118 records, with each record comprising a paragraph and its three associated question-answer pairs. The structure ensures that each paragraph is uniquely linked to three questions and three answers, making it a well-organised resource for text processing.
Usage
This dataset is ideally suited for various applications, including:
- Developing and training Natural Language Processing (NLP) models for question answering systems.
- Generating extractive subjective questions and answers from environmental text.
- Fine-tuning transformer models for text-to-text generation tasks.
- Research and development in artificial intelligence and machine learning, particularly for understanding and processing environmental texts.
Coverage
The dataset's content scope is global, covering general topics in renewable energy, pollution, and environmental science. The data collection was listed on 21/06/2025. No specific demographic or detailed time range is noted for the data itself beyond its environmental focus.
License
CC By
Who Can Use It
This dataset is a valuable asset for:
- Data Scientists and Analysts: For building and evaluating NLP models, particularly question-answering systems.
- AI/ML Developers: Who are working on text generation, summarisation, or intelligent search within environmental domains.
- Researchers: In environmental science, linguistics, and artificial intelligence, seeking high-quality, domain-specific textual data.
- Educators: For creating training materials or developing educational AI tools related to environmental topics.
Dataset Name Suggestions
- Environmental Q&A Pairs
- Green Earth Question-Answer Dataset
- Renewable Energy & Pollution Q&A
- Subjective Environmental Questions & Answers
- Eco-Text Q&A Collection
Attributes
Original Data Source: Subjective Question Answer Dataset
QUALITY