Datasetpublic

thomasavare/waste-classification-v2

Dataset Card for Dataset Name 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… See the full description on the dataset page: https://huggingface.co/datasets/thomasavare/waste-classification-v2.

sourceHugging Faceupdated 3y agoView on Hugging Face

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Dataset Card

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Dataset Description

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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.