task_categories:question-answering size_categories:n<1K license:openrail code region:us
---
license: openrail
pretty_name: HPCPerfOpt (HPC Performance Optimization Benchmark) 
configs_names:
- HPCPerfOpt:yes/no
task_categories:
- question-answering
tags:
- code
size_categories:
- n<1K

dataset_info:
  - config_name: yes-no
    features:
      - name: Index
        dtype: int64
      - name: Topic /Type of Performance Issue
        dtype: string
      - name: Context
        dtype: string
      - name: Text (optional)
        dtype: string
      - name: Code(optional)
        dtype: string
      - name: Machine Information (optional)
        dtype: string
      - name: Profiling Information(optional)
        dtype: string
      - name: Question Type
        dtype: string
      - name: Question
        dtype: string
      - name: startphrase(context + question)
        dtype: string
      - name: Answer
        dtype: string
      - name: Source
        dtype: string
    splits:
      - name: test
        num_bytes:  # Replace with actual size in bytes
        num_examples:  # Replace with actual count
    download_size:  # Replace with actual download size
    dataset_size:  # Replace with actual dataset size

---

# Dataset Card for HPCPerfOpt (HPC Performance Optimization Dataset)

## Dataset Description

- **Homepage:** 
- **Repository:** 
- **Paper:** 
- **Leaderboard:** 
- **Point of Contact:** 

### Dataset Summary

This dataset is a question answering dataset for OpenMP Performance Optimization questions. It contains yes-no questions of 2 types. 

1. Given two codes code 1 and code 2, will code 2 run faster than code 1?
2. Does this code have a potential <insert performance issue> issue here?

 The answers may be "Yes" or "No". 

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

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### Citation Information

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### Contributions

[More Information Needed]