update readme
Browse files
.DS_Store
ADDED
Binary file (6.15 kB). View file
|
|
README.md
CHANGED
@@ -1,33 +1,7 @@
|
|
1 |
-
|
2 |
-
configs:
|
3 |
-
- config_name: default
|
4 |
-
data_files:
|
5 |
-
- split: train
|
6 |
-
path: data/train-*
|
7 |
-
dataset_info:
|
8 |
-
features:
|
9 |
-
- name: image
|
10 |
-
dtype: image
|
11 |
-
- name: label
|
12 |
-
dtype:
|
13 |
-
class_label:
|
14 |
-
names:
|
15 |
-
'0': α‘αααΊαααα±αα¬αα»α¬αΈ
|
16 |
-
'1': ααα―αΈαα¬α‘αααΊα‘α
α¬αΈαα»α¬αΈ
|
17 |
-
'2': ααΌααΊαα¬α· α‘α¬αΈαα
α¬αΈ
|
18 |
-
splits:
|
19 |
-
- name: train
|
20 |
-
num_bytes: 10872016.0
|
21 |
-
num_examples: 30
|
22 |
-
download_size: 10860344
|
23 |
-
dataset_size: 10872016.0
|
24 |
-
---
|
25 |
-
# MM MultiClass Dataset
|
26 |
-
|
27 |
-
...
|
28 |
|
29 |
## Overview
|
30 |
-
This dataset is
|
31 |
|
32 |
The status of this project is <code>on-going</code>.
|
33 |
|
@@ -36,7 +10,7 @@ The status of this project is <code>on-going</code>.
|
|
36 |
```python
|
37 |
from datasets import load_dataset
|
38 |
|
39 |
-
dataset = load_dataset("AggaMin/
|
40 |
```
|
41 |
## Dataset Details
|
42 |
```
|
@@ -46,11 +20,12 @@ dataset_info:
|
|
46 |
dtype: image
|
47 |
- name: label
|
48 |
dtype:
|
49 |
-
|
50 |
-
|
51 |
-
|
52 |
-
|
53 |
-
|
|
|
54 |
splits:
|
55 |
- name: train
|
56 |
num_bytes: 10872016.0
|
@@ -63,3 +38,28 @@ configs:
|
|
63 |
- split: train
|
64 |
path: data/train-*
|
65 |
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# MM Multiclassification Dataset
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2 |
|
3 |
## Overview
|
4 |
+
This dataset is an <code>on-going</code> data collection for multiclassification task for burmese language containing, as of AUG 29th, 419 images. The images are relating to Myanmar Landmark, Food and Cultures.
|
5 |
|
6 |
The status of this project is <code>on-going</code>.
|
7 |
|
|
|
10 |
```python
|
11 |
from datasets import load_dataset
|
12 |
|
13 |
+
dataset = load_dataset("AggaMin/mm_classification_dataset")
|
14 |
```
|
15 |
## Dataset Details
|
16 |
```
|
|
|
20 |
dtype: image
|
21 |
- name: label
|
22 |
dtype:
|
23 |
+
class_label:
|
24 |
+
names:
|
25 |
+
'0': ααα―αΈαα¬α‘αααΊα‘α
α¬αΈαα»α¬αΈ
|
26 |
+
'1': αααΊααΎα±α·
|
27 |
+
'2': α‘α¬αααΉαα¬αα―αα¬αΈ
|
28 |
+
'3': αα―ααΊα·αααΊαΈαα«αΈ
|
29 |
splits:
|
30 |
- name: train
|
31 |
num_bytes: 10872016.0
|
|
|
38 |
- split: train
|
39 |
path: data/train-*
|
40 |
```
|
41 |
+
---
|
42 |
+
configs:
|
43 |
+
- config_name: default
|
44 |
+
data_files:
|
45 |
+
- split: train
|
46 |
+
path: data/train-*
|
47 |
+
dataset_info:
|
48 |
+
features:
|
49 |
+
- name: image
|
50 |
+
dtype: image
|
51 |
+
- name: label
|
52 |
+
dtype:
|
53 |
+
class_label:
|
54 |
+
names:
|
55 |
+
'0': ααα―αΈαα¬α‘αααΊα‘α
α¬αΈαα»α¬αΈ
|
56 |
+
'1': αααΊααΎα±α·
|
57 |
+
'2': α‘α¬αααΉαα¬αα―αα¬αΈ
|
58 |
+
'3': αα―ααΊα·αααΊαΈαα«αΈ
|
59 |
+
splits:
|
60 |
+
- name: train
|
61 |
+
num_bytes: 10872016.0
|
62 |
+
num_examples: 419
|
63 |
+
download_size: 10860344
|
64 |
+
dataset_size: 10872016.0
|
65 |
+
---
|