Climate Change Dialogue Dataset
Natural Resources & Mining
Tags and Keywords
Trusted By




"No reviews yet"
Free
About
This dataset has been specifically designed to facilitate the creation of conversational bots capable of discussing climate change [1]. It was developed using DialogGPT, and its rows are structured sequentially, with each question immediately followed by its corresponding answer [1]. This format makes it particularly suitable for natural language processing tasks and building interactive dialogue systems.
Columns
- Source: Identifies the Uniform Resource Locator (URL) from which the specific FAQ content was retrieved [2].
- faq: Contains the textual content, which can be either a question or an answer related to climate change [2].
- text_type: A categorical tag denoting whether the content in the 'faq' column is a question ('q') or an answer ('a') [2].
Distribution
The dataset is presented in a tabular format [1]. While the precise number of records is not specified, it comprises a collection of climate change FAQs [1]. It includes 375 unique source URLs and 2 unique types for the 'text_type' column [2]. Data files for products like this are typically provided in CSV format [3].
Usage
This dataset is ideally suited for:
- Developing conversational AI bots focused on environmental topics and climate science [1].
- Training Natural Language Processing (NLP) models for question-answering systems.
- Building dialogue generation capabilities for Large Language Models (LLMs) in the climate domain.
- Creating interactive educational tools about environmental issues.
Coverage
The dataset provides global coverage [4] regarding climate change frequently asked questions, without specific geographic, time-range, or demographic limitations detailed in the provided sources.
License
CC0
Who Can Use It
- AI and Machine Learning Developers: Seeking to train and fine-tune models for climate-related dialogues.
- Chatbot Developers: Aiming to integrate climate change information into their automated assistants.
- Environmental Researchers and Scientists: For analysing public queries and common explanations related to climate change.
- Data Scientists and Analysts: Interested in textual data for NLP applications.
Dataset Name Suggestions
- Climate Change Dialogue Dataset
- Global Climate FAQ Bot Data
- Environmental AI Conversational Data
- Climate Science Q&A Dataset
- DialogGPT Climate Questions
Attributes
Original Data Source: Climate Change FAQs