size_categories:10K<n<100K language:en region:us
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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.
