region:us
---
dataset_info:
  features:
  - name: answer
    dtype: string
  - name: question
    dtype: string
  - name: context_v1
    sequence: string
  - name: context_v2
    sequence: string
  - name: ungrounded_answer
    dtype: string
  - name: source
    dtype: string
  - name: poor_answer
    dtype: string
  splits:
  - name: train
    num_bytes: 548755
    num_examples: 50
  download_size: 354738
  dataset_size: 548755
---
# WikiEval
Dataset for to do correlation analysis of difference metrics proposed in [Ragas](https://github.com/explodinggradients/ragas)
This dataset was generated from 50 pages from Wikipedia with edits post 2022. 

## Column description
* question: a question that can be answered from the given Wikipedia page (source).
* source: The source Wikipedia page from which the question and context are generated. 
* grounded_answer: answer grounded on context_v1
* ungrounded_answer: answer generated without context_v1
* poor_answer: answer with poor relevancy compared to grounded_answer and ungrounded_answer
* context_v1: Ideal context to answer the given question
* contetx_v2: context that contains redundant information compared to context_v1