Datasets:
thomasavare
commited on
Commit
•
df08244
1
Parent(s):
90dcbb5
Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
size_categories:
|
5 |
+
- 10K<n<100K
|
6 |
+
---
|
7 |
+
|
8 |
+
# Dataset Card for Dataset Name
|
9 |
+
|
10 |
+
## Dataset Description
|
11 |
+
|
12 |
+
- **Homepage:**
|
13 |
+
- **Repository:**
|
14 |
+
- **Paper:**
|
15 |
+
- **Leaderboard:**
|
16 |
+
- **Point of Contact:**
|
17 |
+
|
18 |
+
### Dataset Summary
|
19 |
+
|
20 |
+
Dataset used to train a language model to do classification on 50 different waste classes.
|
21 |
+
|
22 |
+
### Languages
|
23 |
+
|
24 |
+
English
|
25 |
+
|
26 |
+
## Dataset Structure
|
27 |
+
|
28 |
+
### Data Instances
|
29 |
+
|
30 |
+
Phrase | Class | Index
|
31 |
+
-------|-------|-------
|
32 |
+
"I have this apple phone charger to throw, where should I put it ?" | PHONE CHARGER | 26
|
33 |
+
"Should I recycle a disposable cup ?" | Plastic Cup | 32
|
34 |
+
"I have a milk brick" | Tetrapack | 45
|
35 |
+
|
36 |
+
### Data Fields
|
37 |
+
|
38 |
+
- Phrase
|
39 |
+
- Class
|
40 |
+
- Class_index
|
41 |
+
|
42 |
+
### Data Splits
|
43 |
+
|
44 |
+
train: 12.5K rows
|
45 |
+
|
46 |
+
test: 5.38K rows
|
47 |
+
|
48 |
+
additional data: 7.24K rows (unseen_phrases.csv)
|
49 |
+
|
50 |
+
## Dataset Creation
|
51 |
+
|
52 |
+
Manualy with objects and phrases templates.
|
53 |
+
|
54 |
+
### Annotations
|
55 |
+
|
56 |
+
#### Annotation process
|
57 |
+
|
58 |
+
Each object was annotated and then the phrases were annotated according to the object according to its annnotation.
|
59 |
+
|
60 |
+
#### Who are the annotators?
|
61 |
+
|
62 |
+
Myself
|
63 |
+
|
64 |
+
### Personal and Sensitive Information
|
65 |
+
|
66 |
+
None
|
67 |
+
|
68 |
+
## Considerations for Using the Data
|
69 |
+
|
70 |
+
### Social Impact of Dataset
|
71 |
+
|
72 |
+
None
|
73 |
+
|
74 |
+
### Discussion of Biases
|
75 |
+
|
76 |
+
Some classes are more present than others but the dataset is balanced overall. Because it was created using patterns, might not be very robust.
|
77 |
+
|
78 |
+
### Other Known Limitations
|
79 |
+
|
80 |
+
Repetition of phrase patterns, have to verify performances of model on external phrases for robustness.
|