datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ukr-emotions-per-annotator
EmoBench-UA: Emotions Detection Dataset in Ukrainian Texts
EmoBench-UA: the first of its kind emotions detection dataset in Ukrainian texts. This dataset covers the detection of basic emotions: Joy, Anger, Fear, Disgust, Surprise, Sadness, or None.
Any text can contain any amount of emotion -- only one, several, or none at all. The texts with None emotions are the ones where the labels per emotions classes are 0.
Per annotator: specifically this dataset contains concatenated… See the full description on the dataset page: https://huggingface.co/datasets/ukr-detect/ukr-emotions-per-annotator.annotator-9-11-explicit-rating-data-vocalsannotator-9-11-explicit-rating-dataauditkit-testrun-annotators
auditkit-testrun-annotators
Built using AuditKIT — evaluate any model on any dataset and any task.
Method
evaluate
Model
<auditkit.model.vllm_gen.VLLMModel object at 0x79713e2dacf0>
Artifact
run
Published
2026-09-02 04:38 UTC
Usage
from datasets import load_dataset
ds = load_dataset("ram-lexsi/auditkit-testrun-annotators")
goldenswag-fi-annotator-10test_custom_annotator
test_custom_annotator
Custom simple extraction from reasoning traces
Dataset Info
Rows: 1
Columns: 24
Columns
Column
Type
Description
question
Value('string')
No description provided
metadata
Value('string')
No description provided
task_source
Value('string')
No description provided
formatted_prompt
List({'content': Value('string'), 'role': Value('string')})
No description provided
responses_by_sample
List(List(Value('string')))
No… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/test_custom_annotator.MedSynth-1perICD10-annotator-1goldenswag-fi-og-annotator-10goldenswag-fi-annotator-1goldenswag-fi-og-annotator-1goldenswag-fi-og-annotator-9MedSynth-1perICD10-annotator-7presuisidal_dataset-test_split-three_annotatorsMedSynth-1perICD10-annotator-6MedSynth-1perICD10-annotator-4MedSynth-1perICD10-annotator-5MedSynth-1perICD10-annotator-9goldenswag-fi-annotator-9MedSynth-1perICD10-annotator-3ArabicaQA_retriever_train_data_human_annotator_70kMedSynth-1perICD10-annotator-2budgetforce_training_examples__base__Annotator_qwen2.5-1.5B-InstructMedSynth-1perICD10-annotator-8MedSynth-1perICD10-annotator-0