task_categories:conversational task_categories:summarization task_categories:question-answering size_categories:1K<n<10K source_datasets:scidcc language:en license:openrail climate instruction doi:10.57967/hf/1088 region:us
---
license: openrail
task_categories:
- conversational
- summarization
- question-answering
language:
- en
tags:
- climate
- instruction
pretty_name: scidcc-instr
size_categories:
- 1K<n<10K
source_datasets:
  - scidcc
---

### Dataset Summary

Instruction-Response pairs generated using the SciDCC Climate Dataset from [Climabench](https://huggingface.co/datasets/iceberg-nlp/climabench)

### Format 

```
### Instruction:
Present a fitting title for the provided text.
For those who study earthquakes, one major challenge has been trying to understand all the physics of a fault -- both during an earthquake and at times of "rest" -- in order to know more about how a particular region may behave in the future. Now, researchers at the California Institute of Technology (Caltech) have developed the first computer model of an earthquake-producing fault segment that reproduces, in a single physical framework, the available observations of both the fault's seismic (fast) and aseismic (slow) behavior.
### Response:
Greater insight into earthquake cycles
```

#### 4 distinct instruction-response pairs per scidcc article. (Refer to columns instruction1, instruction2, instruction3, instruction4)
