notlath commited on
Commit
0d3983c
·
verified ·
1 Parent(s): 5b6490a

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +81 -19
README.md CHANGED
@@ -1,19 +1,81 @@
1
- ---
2
- dataset_info:
3
- features:
4
- - name: label
5
- dtype: string
6
- - name: text
7
- dtype: string
8
- splits:
9
- - name: train
10
- num_bytes: 539656
11
- num_examples: 4380
12
- download_size: 178242
13
- dataset_size: 539656
14
- configs:
15
- - config_name: default
16
- data_files:
17
- - split: train
18
- path: data/train-*
19
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: cc-by-4.0
3
+ task_categories:
4
+ - text-classification
5
+ language:
6
+ - fil
7
+ tags:
8
+ - medical
9
+ - symptoms
10
+ - disease-classification
11
+ - healthcare
12
+ - filipino
13
+ size_categories:
14
+ - n<1K
15
+ ---
16
+
17
+ # Symptom2Disease Filipino Dataset
18
+
19
+ ## Dataset Description
20
+
21
+ This dataset contains symptom descriptions mapped to disease labels in Filipino language. It can be used for training models to classify diseases based on symptom descriptions in Filipino.
22
+
23
+ ### Dataset Structure
24
+
25
+ Each example contains:
26
+ - `label`: The disease name (e.g., Typhoid, Impetigo, Dengue)
27
+ - `text`: A description of symptoms in natural Filipino language
28
+
29
+ ### Supported Tasks
30
+
31
+ - **Text Classification**: Disease classification based on symptom descriptions
32
+ - **Healthcare NLP**: Filipino language health symptom understanding
33
+
34
+ ### Language
35
+
36
+ - Filipino (fil)
37
+
38
+ ### Data Statistics
39
+
40
+ **English Dataset:**
41
+ - Total examples: 4380
42
+ - Unique diseases: 6
43
+ - Diseases: Dengue, Pneumonia, Diarrhea, Influenza, Typhoid, Measles
44
+
45
+ ## Usage
46
+
47
+ ```python
48
+ from datasets import load_dataset
49
+
50
+ # Load the dataset
51
+ dataset = load_dataset("notlath/dataset_eng_cleaned")
52
+
53
+ # Access the data
54
+ print(dataset['train'][0])
55
+ ```
56
+
57
+ ## Dataset Structure
58
+
59
+ The dataset is provided as a single training set. You may want to split it for your specific use case:
60
+
61
+ ```python
62
+ from datasets import load_dataset
63
+
64
+ dataset = load_dataset("notlath/dataset_eng_cleaned")
65
+ dataset = dataset['train'].train_test_split(test_size=0.2, seed=42)
66
+
67
+ train_dataset = dataset['train']
68
+ test_dataset = dataset['test']
69
+ ```
70
+
71
+ ## Citation
72
+
73
+ If you use this dataset in your research, please cite:
74
+
75
+ ```
76
+ [Add your citation information here]
77
+ ```
78
+
79
+ ## License
80
+
81
+ This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).