tanaos
Datasets
All datasets matching “tanaos”synthetic-intent-classifier-dataset-v1
Tanaos Intent Classifier Training Dataset
This dataset was created synthetically by Tanaos with the Artifex Python library.
The dataset is designed to train and evaluate intent classification systems — models that can identify user intents in conversational AI applications, such as chatbots and virtual assistants.
Our flagship intent classification model, tanaos-intent-classifier-v1, was trained on this dataset.
Dataset Summary
The dataset contains text… See the full description on the dataset page: https://huggingface.co/datasets/tanaos/synthetic-intent-classifier-dataset-v1.synthetic-spam-detection-dataset-german
Tanaos Spam Detection German Training Dataset
This dataset was created synthetically by Tanaos with the Artifex Python library.
The dataset is designed to train and evaluate spam detection systems — models that detect, classify, or filter unsolicited commercial advertisement, fraudulent messages, or other unwanted content in text form — in German.
Our german spam detection model, tanaos-spam-detection-german, was trained on this dataset.
Dataset Summary
The… See the full description on the dataset page: https://huggingface.co/datasets/tanaos/synthetic-spam-detection-dataset-german.synthetic-emotion-detection-dataset-v1
Tanaos Emotion Detection Training Dataset
This dataset was created synthetically by Tanaos with the Artifex Python library.
The dataset is designed to train and evaluate emotion detection systems — models that classify the main emotion expressed in text as one of eight possible categories: joy, anger, fear, sadness, surprise, disgust, excitement, or neutral. It can be used to build emotion detection models for various applications, such as customer feedback analysis, social… See the full description on the dataset page: https://huggingface.co/datasets/tanaos/synthetic-emotion-detection-dataset-v1.synthetic-NER-dataset-v1
Tanaos NER Training Dataset
This dataset was created synthetically by Tanaos with the Artifex Python library.
The dataset is designed to train and evaluate Named Entity Recognition (NER) systems — models that identify and classify named entities in text into predefined categories such as PERSON, ORG, LOCATION, DATE, and more. It can be used to train NER models from scratch or fine-tune existing ones.
Our flagship NER model, tanaos-NER-v1, was trained on this dataset.… See the full description on the dataset page: https://huggingface.co/datasets/tanaos/synthetic-NER-dataset-v1.synthetic-guardrail-dataset-v1
Tanaos Guardrail Training Dataset
[!CAUTION]
We now have a newer version of this dataset: tanaos/synthetic-guardrail-dataset-v2 with improved coverage and quality. Consider using that instead.
This dataset was created synthetically by Tanaos with the Artifex Python library.
The dataset is designed to train and evaluate guardrail systems — models that detect, classify, or filter unsafe, harmful, or policy-violating text content. It can be used to train moderation models or… See the full description on the dataset page: https://huggingface.co/datasets/tanaos/synthetic-guardrail-dataset-v1.synthetic-topic-classification-dataset-v1
Tanaos Topic Classification Training Dataset
This dataset was created synthetically by Tanaos with the Artifex Python library.
The dataset is designed to train and evaluate Topic Classification models — models that can classify text into predefined topics or categories.
Our flagship Topic Classification model, tanaos-topic-classification-v1, was trained on this dataset.
Dataset Summary
The dataset contains text samples labeled with their corresponding topics.… See the full description on the dataset page: https://huggingface.co/datasets/tanaos/synthetic-topic-classification-dataset-v1.