Datasets:
File size: 1,459 Bytes
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language:
- en
size_categories:
- 10K<n<100K
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
Dataset used to train a language model to do classification on 50 different waste classes.
### Languages
English
## Dataset Structure
### Data Instances
Phrase | Class | Index
-------|-------|-------
"I have this apple phone charger to throw, where should I put it ?" | PHONE CHARGER | 26
"Should I recycle a disposable cup ?" | Plastic Cup | 32
"I have a milk brick" | Tetrapack | 45
### Data Fields
- Phrase
- Class
- Class_index
### Data Splits
train: 12.5K rows
test: 5.38K rows
additional data: 7.24K rows (unseen_phrases.csv)
## Dataset Creation
Manualy with objects and phrases templates.
### Annotations
#### Annotation process
Each object was annotated and then the phrases were annotated according to the object according to its annnotation.
#### Who are the annotators?
Myself
### Personal and Sensitive Information
None
## Considerations for Using the Data
### Social Impact of Dataset
None
### Discussion of Biases
Some classes are more present than others but the dataset is balanced overall. Because it was created using patterns, might not be very robust.
### Other Known Limitations
Repetition of phrase patterns, have to verify performances of model on external phrases for robustness.
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