datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
task1283_hrngo_quality_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1283_hrngo_quality_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1283_hrngo_quality_classification.FruitVision_quality_classification
FruitVision Quality Classification
A dataset for quality classification of apples, bananas, mangoes, grapes, and oranges. The dataset contains raw and augmented versions.The raw dataset contains 10,154 images.Images per class:
Formalin-mixed: 3,176
Fresh: 3,800
Rotten: 3,178
The augmented dataset contains 73,389 images.Images per class:
Formalin-mixed: 22,228
Fresh: 30,400
Rotten: 20,761
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/FruitVision_quality_classification.german-webtext-quality-classification-dataset
Dataset Card for Dataset Name
Train and (manually annotated) test data of Paper:
Bootstrapping a Sentence-Level Corpus Quality Classifier for Web Text using Active Learning (RANLP25)
Dataset Details
see: https://aclanthology.org/2025.globalnlp-1.12/
banana_guava_quality_classification
Banana Guava Quality Classification
A dataset for quality classification of bananas and guavas. The dataset contains 1,748 images across 3 classes: Class_A, Class_B, Defect.Images per class:
Class_A: 671
Class_B: 469
Defect: 608
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{kumari2024banana,
title={Banana and Guava dataset for machine learning and deep learning-based quality classification}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/banana_guava_quality_classification.OCR-quality-classification
OCR-quality-classification
PleIAs/Post-OCR-Correction english subset converted to text classification
token count (train)
GPT-4 tiktoken token count:
token_count
count 60140.000000
mean 14034.661540
std 5305.808434
min 3.000000
25% 10280.750000
50% 12978.000000
75% 16705.000000
max 43323.000000
Total count: 844.04 M tokens
welding-quality-classificationflan_combined_task1283_hrngo_quality_classification