
# Arxiv Paper Generative Question Answering 

## Dataset Description

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

### Dataset Summary

This dataset is made using ChatGPT (text-davinci-003) to generate Question/Answer pairs from Arxiv papers from [this dataset](https://huggingface.co/datasets/ccdv/arxiv-summarization)


### Data Fields

* TextID: references the datarow (paper) in the arxiv summarizer dataset
* Question: question based on the text
* Response: answer
* Text: Full text with the paper as 'context:' and and the question appended as 'question:'. Used for generative question answering usign language modelling

### Data Splits

This dataset contains 2 splits: _train_, and _validation_

| Dataset Split | Number of Instances |
| ------------- | --------------------|
| Train         | 32,392              |
| Validation    | 6,479               |
task_categories:question-answering task_categories:text2text-generation size_categories:10K<n<100K language:en region:us
{"language": ["en"], "size_categories": ["10K<n<100K"], "task_categories": ["question-answering", "text2text-generation"]}
TAGS
#task_categories-question-answering #task_categories-text2text-generation #size_categories-10K<n<100K #language-English #region-us 

Arxiv Paper Generative Question Answering
=========================================


Dataset Description
-------------------


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


### Dataset Summary


This dataset is made using ChatGPT (text-davinci-003) to generate Question/Answer pairs from Arxiv papers from this dataset


### Data Fields


* TextID: references the datarow (paper) in the arxiv summarizer dataset
* Question: question based on the text
* Response: answer
* Text: Full text with the paper as 'context:' and and the question appended as 'question:'. Used for generative question answering usign language modelling


### Data Splits


This dataset contains 2 splits: *train*, and *validation*




### Dataset Summary


This dataset is made using ChatGPT (text-davinci-003) to generate Question/Answer pairs from Arxiv papers from this dataset ### Data Fields


* TextID: references the datarow (paper) in the arxiv summarizer dataset
* Question: question based on the text
* Response: answer
* Text: Full text with the paper as 'context:' and and the question appended as 'question:'. Used for generative question answering usign language modelling ### Data Splits


This dataset contains 2 splits: *train*, and *validation*
TAGS
#task_categories-question-answering #task_categories-text2text-generation #size_categories-10K<n<100K #language-English #region-us 
 ### Dataset Summary


This dataset is made using ChatGPT (text-davinci-003) to generate Question/Answer pairs from Arxiv papers from this dataset ### Data Fields


* TextID: references the datarow (paper) in the arxiv summarizer dataset
* Question: question based on the text
* Response: answer
* Text: Full text with the paper as 'context:' and and the question appended as 'question:'. Used for generative question answering usign language modelling ### Data Splits


This dataset contains 2 splits: *train*, and *validation*
passage: TAGS
#task_categories-question-answering #task_categories-text2text-generation #size_categories-10K<n<100K #language-English #region-us 
### Dataset Summary


This dataset is made using ChatGPT (text-davinci-003) to generate Question/Answer pairs from Arxiv papers from this dataset### Data Fields


* TextID: references the datarow (paper) in the arxiv summarizer dataset
* Question: question based on the text
* Response: answer
* Text: Full text with the paper as 'context:' and and the question appended as 'question:'. Used for generative question answering usign language modelling### Data Splits


This dataset contains 2 splits: *train*, and *validation*