File size: 2,692 Bytes
7ad57a4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 |
---
pretty_name: ELI-Why Manually Web-Retrieved Explanations
language:
- en
license: mit
tags:
- education
- explainability
- question-answering
- retrieval
- pedagogy
dataset_info:
features:
- name: Question
dtype: string
- name: Domain
dtype: string
- name: Topic
dtype: string
- name: Explanation
dtype: string
- name: Intended Educational Background
dtype: string
- name: Source
dtype: string
splits:
- name: train
num_examples: 123
annotations_creators:
- expert-verified
source_datasets:
- original
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
citation: |
@inproceedings{joshi2025eliwhy,
title={{ELI-Why}: Evaluating the Pedagogical Utility of Language Model Explanations},
author={Joshi, Brihi and He, Keyu and Ramnath, Sahana and Sabouri, Sadra and Zhou, Kaitlyn and Chattopadhyay, Souti and Swayamdipta, Swabha and Ren, Xiang},
year={2025}
}
---
# 📚 ELI-Why Manually Web-Retrieved Explanations
## 🧠 Dataset Summary
This dataset contains **high-quality, manually curated explanations** for "Why" questions, **retrieved from the web** to serve as educationally appropriate references.
Each explanation is annotated with:
- A corresponding question
- A fine-grained topic and domain label (e.g., STEM / Physics)
- The intended educational level (Elementary, High School, Graduate)
- The original **source URL** from which the explanation was retrieved
The explanations were selected by human annotators for clarity, correctness, and pedagogical value for the target educational level.
## 📦 Dataset Structure
Each row contains:
- `Question`: The "Why" question
- `Domain`: "STEM" or "Non-STEM"
- `Topic`: More specific subject area (e.g., "Physics", "Sociology")
- `Explanation`: The full retrieved explanation (manually copied)
- `Intended Educational Background`: One of `["Elementary", "High School", "Graduate School"]`
- `Source`: URL of the original explanation
### 🔍 Example
```json
{
"Question": "Why is the sky blue?",
"Domain": "STEM",
"Topic": "Physics",
"Explanation": "If you stick your hand out of the car window when it's moving...",
"Intended Educational Background": "Elementary",
"Source": "https://example.com/sky-blue-explained"
}
```
---
## 📚 Citation
If you use this dataset, please cite:
```bibtex
@inproceedings{joshi2025eliwhy,
title={{ELI-Why}: Evaluating the Pedagogical Utility of Language Model Explanations},
author={Joshi, Brihi and He, Keyu and Ramnath, Sahana and Sabouri, Sadra and Zhou, Kaitlyn and Chattopadhyay, Souti and Swayamdipta, Swabha and Ren, Xiang},
year={2025}
}
```
|