classification tasks
cycic_classificationhttps://storage.googleapis.com/ai2-mosaic/public/cycic/CycIC-train-dev.zip
https://colab.research.google.com/drive/16nyxZPS7-ZDFwp7tn_q72Jxyv0dzK1MP?usp=sharing
@article{Kejriwal2020DoFC,
title={Do Fine-tuned Commonsense Language Models Really Generalize?},
author={Mayank Kejriwal and Ke Shen},
journal={ArXiv},
year={2020},
volume={abs/2011.09159}
}
added for
@article{sileo2023tasksource,
title={tasksource: Structured Dataset Preprocessing Annotations for Frictionless Extreme… See the full description on the dataset page: https://huggingface.co/datasets/tasksource/cycic_classification.blimp_classificationAcceptable/non acceptable sentences (recasted as a classification task)synthetic-from-classification-tasks-norwegian
Thanks to Arrow Denmark and Nvidia for sponsoring the compute used to generate this dataset
The purpose of this dataset is to pre- or post-train embedding models for classification tasks.
The dataset consists of 100,000 samples generated with gemma-2-27b-it.
The column "prompt" shows the prompt given to the LLM and "response" shows the LLM output.
Each sample in the dataset was generated from a seed task randomly sampled from… See the full description on the dataset page: https://huggingface.co/datasets/ThatsGroes/synthetic-from-classification-tasks-norwegian.telugu_news_classificationsynthetic-from-classification-tasks-swedish
Thanks to Arrow Denmark and Nvidia for sponsoring the compute used to generate this dataset
The purpose of this dataset is to pre- or post-train embedding models for classification tasks.
The dataset consists of 100,000 samples generated with gemma-2-27b-it.
The column "prompt" shows the prompt given to the LLM and "response" shows the LLM output.
Each sample in the dataset was generated from a seed task randomly sampled from… See the full description on the dataset page: https://huggingface.co/datasets/ThatsGroes/synthetic-from-classification-tasks-swedish.synthetic-from-classification-tasks-danish
Thanks to Arrow Denmark and Nvidia for sponsoring the compute used to generate this dataset
The purpose of this dataset is to pre- or post-train embedding models for Danish text classification tasks.
The dataset consists of 100,000 samples generated with gemma-2-27b-it.
The column "prompt" shows the prompt given to the LLM and "response" shows the LLM output.
Each sample in the dataset was generated from a seed task randomly sampled from… See the full description on the dataset page: https://huggingface.co/datasets/ThatsGroes/synthetic-from-classification-tasks-danish.