blesspearl
commited on
Commit
•
a9fdcbf
1
Parent(s):
5f94d5d
Update README.md
Browse files
README.md
CHANGED
@@ -1,29 +1,81 @@
|
|
1 |
-
---
|
2 |
-
license: mit
|
3 |
-
dataset_info:
|
4 |
-
features:
|
5 |
-
- name: tag
|
6 |
-
dtype: string
|
7 |
-
- name: question_body
|
8 |
-
dtype: string
|
9 |
-
- name: accepted_answer
|
10 |
-
dtype: string
|
11 |
-
- name: second_answer
|
12 |
-
dtype: string
|
13 |
-
splits:
|
14 |
-
- name: train
|
15 |
-
num_bytes: 11960931.546863988
|
16 |
-
num_examples: 2270
|
17 |
-
- name: test
|
18 |
-
num_bytes: 2992867.4531360115
|
19 |
-
num_examples: 568
|
20 |
-
download_size: 6649416
|
21 |
-
dataset_size: 14953799.0
|
22 |
-
configs:
|
23 |
-
- config_name: default
|
24 |
-
data_files:
|
25 |
-
- split: train
|
26 |
-
path: data/train-*
|
27 |
-
- split: test
|
28 |
-
path: data/test-*
|
29 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: mit
|
3 |
+
dataset_info:
|
4 |
+
features:
|
5 |
+
- name: tag
|
6 |
+
dtype: string
|
7 |
+
- name: question_body
|
8 |
+
dtype: string
|
9 |
+
- name: accepted_answer
|
10 |
+
dtype: string
|
11 |
+
- name: second_answer
|
12 |
+
dtype: string
|
13 |
+
splits:
|
14 |
+
- name: train
|
15 |
+
num_bytes: 11960931.546863988
|
16 |
+
num_examples: 2270
|
17 |
+
- name: test
|
18 |
+
num_bytes: 2992867.4531360115
|
19 |
+
num_examples: 568
|
20 |
+
download_size: 6649416
|
21 |
+
dataset_size: 14953799.0
|
22 |
+
configs:
|
23 |
+
- config_name: default
|
24 |
+
data_files:
|
25 |
+
- split: train
|
26 |
+
path: data/train-*
|
27 |
+
- split: test
|
28 |
+
path: data/test-*
|
29 |
+
---
|
30 |
+
|
31 |
+
# Mathematics Q&A Dataset
|
32 |
+
|
33 |
+
This dataset contains questions and answers focused on various topics within the field of mathematics. The dataset includes columns for tags, question bodies, accepted answers, and secondary answers.
|
34 |
+
|
35 |
+
## Table of Contents
|
36 |
+
- [Dataset Overview](#dataset-overview)
|
37 |
+
- [Topics Covered](#topics-covered)
|
38 |
+
- [Data Columns](#data-columns)
|
39 |
+
- [Usage](#usage)
|
40 |
+
- [License](#license)
|
41 |
+
- [Contributing](#contributing)
|
42 |
+
- [Contact](#contact)
|
43 |
+
|
44 |
+
## Dataset Overview
|
45 |
+
The Mathematics Q&A Dataset consists of questions and their corresponding answers from various mathematical topics. This dataset is valuable for research and development in natural language processing (NLP), machine learning (ML), and educational applications.
|
46 |
+
|
47 |
+
## Topics Covered
|
48 |
+
The dataset covers a variety of mathematical topics:
|
49 |
+
- Combinatorics
|
50 |
+
- Differentiation
|
51 |
+
- Game Theory
|
52 |
+
- Geometry
|
53 |
+
- Linear Algebra
|
54 |
+
- Logic
|
55 |
+
- Matrices
|
56 |
+
- Number Theory
|
57 |
+
- Probability
|
58 |
+
|
59 |
+
## Data Columns
|
60 |
+
The dataset is structured into the following columns:
|
61 |
+
|
62 |
+
- `tag`: The category or topic of the question.
|
63 |
+
- `question_body`: The full text of the question.
|
64 |
+
- `accepted_answer`: The accepted answer to the question.
|
65 |
+
- `second_answer`: An additional answer to the question, providing another perspective or solution.
|
66 |
+
|
67 |
+
### Example
|
68 |
+
| tag | question_body | accepted_answer | second_answer |
|
69 |
+
|----------------|------------------------------------------------------------------|----------------------------------------------------------------|--------------------------------------|
|
70 |
+
| probability | What is the probability of getting heads in a coin toss? | The probability is 0.5, as there are two possible outcomes. | The probability of heads is 50%. |
|
71 |
+
| linear-algebra | How do you find the determinant of a matrix? | To find the determinant, you can use the Laplace expansion. | You can also use row reduction. |
|
72 |
+
|
73 |
+
## Usage
|
74 |
+
The dataset can be used for various purposes, including but not limited to:
|
75 |
+
- Training machine learning models for question answering systems.
|
76 |
+
- Developing educational tools and applications.
|
77 |
+
- Conducting research in NLP and text mining.
|
78 |
+
|
79 |
+
### Accessing the Data
|
80 |
+
To access the dataset, download the file from the repository:
|
81 |
+
|