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