multiclass
robust-swedish-sentiment-multiclassselfie_multiclass_256x256Multiclass-Think-RM-8B-i1-GGUFtwitter-roberta-base-hate-multiclass-latestdog-breeds-multiclass-image-classification-with-vitmelanoma-isic2019-multiclassMulticlass-Think-RM-8B-GGUFdistilroberta-base-offensive-hateful-speech-text-multiclassification
multiclass-sentiment-analysis-dataset
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
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Languages
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Dataset Structure
Data Instances
[More Information Needed]
Data Fields
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Data Splits
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Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/Sp1786/multiclass-sentiment-analysis-dataset.functional-multiclass-gamba
GAMBA Functional Region Multiclass
This representation benchmark asks whether frozen sequence embeddings
separate genomic functional categories. Each row is one annotated region;
label == category.
Loading
from datasets import load_dataset
full_bidi = load_dataset(
"Taykhoom/functional-multiclass-gamba",
"full-bidi",
split="all",
)
paper_test = full_bidi.filter(
lambda row: row["split"] == "test"
and row["category"] != "noncoding_regions"
)… See the full description on the dataset page: https://huggingface.co/datasets/Taykhoom/functional-multiclass-gamba.tomato-variant-a-multiclassmulticlasssih-dataset-multiclassscam-classification-multiclass
Scam Text Classification - Multi-Class Dataset
Overview
This dataset is an enhanced version of the original binary scam classification dataset, now with 5 multi-class categories for more granular scam detection.
Dataset Structure
Original Dataset
14,000 rows of Indian-context SMS/email-style messages
Binary labels: 0 (legit) / 1 (scam)
Domain-specific: Indian banks, UPI, Aadhaar, government agencies
Updated Multi-Class Categories… See the full description on the dataset page: https://huggingface.co/datasets/Shade63/scam-classification-multiclass.