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---
dataset_info:
features:
- name: Row_ID
dtype: int64
- name: Topic
dtype: string
- name: Subtopic
dtype: string
- name: Question
dtype: string
- name: Answer_1
dtype: string
- name: Explanation_1
dtype: string
- name: Answer_2
dtype: string
- name: Explanation_2
dtype: string
- name: Answer_3
dtype: string
- name: Explanation_3
dtype: string
- name: Difficulty
dtype: string
splits:
- name: train
num_examples: 62941756
license: mit
language:
- en
tags:
- chemistry
size_categories:
- 10M<n<100M
---
# Chemistry Questions Dataset (62M Rows)
## Description
A dataset of 62,941,756 chemistry questions covering Organic Chemistry (Alkenes, Nomenclature), Inorganic Chemistry (Oxidation States), and Physical Chemistry (Kinetics). Each row includes a question, 2-3 answers with explanations, and difficulty level.
## Columns
- **Row_ID**: Unique identifier (1 to 62,941,756).
- **Topic**: Main chemistry category (e.g., Organic Chemistry).
- **Subtopic**: Specific topic (e.g., Alkenes).
- **Question**: The chemistry question.
- **Answer_1**, **Answer_2**, **Answer_3**: Possible answers (Answer_3 often N/A).
- **Explanation_1**, **Explanation_2**, **Explanation_3**: Explanations for each answer.
- **Difficulty**: Hard or Expert.
## Analysis
- Unique value counts are visualized in [unique_value_counts.png](unique_value_counts.png).
- Sample analysis (based on 100k rows): See image for approximate counts per column.
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("XythicK/chemistry")
```
## Size
- Uncompressed: ~9.06GB |