datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tweet_eval_stance_abortionbanking_sentiment_setfit
Dataset Card for "banking_sentiment_setfit"
More Information needed
setfit-absa-semeval-restaurants
Dataset Card for "tomaarsen/setfit-absa-semeval-restaurants"
Dataset Summary
This dataset contains the manually annotated restaurant reviews from SemEval-2014 Task 4, in the format as
understood by SetFit ABSA.
For more details, see https://aclanthology.org/S14-2004/
Data Instances
An example of "train" looks as follows.
{"text": "But the staff was so horrible to us.", "span": "staff", "label": "negative", "ordinal": 0}
{"text": "To be completely fair, the only… See the full description on the dataset page: https://huggingface.co/datasets/tomaarsen/setfit-absa-semeval-restaurants.setfit-absa-semeval-laptops
Dataset Card for "tomaarsen/setfit-absa-semeval-laptops"
Dataset Summary
This dataset contains the manually annotated laptop reviews from SemEval-2014 Task 4, in the format as
understood by SetFit ABSA.
For more details, see https://aclanthology.org/S14-2004/
Data Instances
An example of "train" looks as follows.
{"text": "I charge it at night and skip taking the cord with me because of the good battery life.", "span": "cord", "label": "neutral", "ordinal": 0}… See the full description on the dataset page: https://huggingface.co/datasets/tomaarsen/setfit-absa-semeval-laptops.setfit_tutorial
Dataset Card for setfit_tutorial
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Dataset Summary
This dataset contains:
A dataset configuration file conforming to the Argilla dataset format named argilla.yaml. This configuration file will be used to configure the dataset when using the… See the full description on the dataset page: https://huggingface.co/datasets/nataliaElv/setfit_tutorial.banking77-topics-setfit
Dataset Card for "banking77-topics-setfit"
More Information needed
setfit-absa-small-stock-tweetmy_setfit_dataset
Dataset Card for my_setfit_dataset
This dataset has been created with Argilla. As shown in the sections below, this dataset can be loaded into your Argilla server as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Using this dataset with Argilla
To load with Argilla, you'll just need to install Argilla as pip install argilla --upgrade and then use the following code:
import argilla as rg
ds =… See the full description on the dataset page: https://huggingface.co/datasets/SeungAhSon/my_setfit_dataset.setfit_dsSetFit-sst5
Dataset Card for "SetFit-sst5"
More Information needed
Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper 'Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis'. It differs from the actual benchmark dataset.
hureddit-toxicity-setfitsetfit_med_18K_9clsSetFitAbsa_FiQA
Dataset Card for "SetFitAbsa_FiQA"
More Information needed
setfit-books-reviewsrest14-setfit-datasetsetfit-books-absamy_setfit_datasetsetfit-books-absa-sampledmy_setfit_dataset
Dataset Card for my_setfit_dataset
This dataset has been created with Argilla. As shown in the sections below, this dataset can be loaded into your Argilla server as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Using this dataset with Argilla
To load with Argilla, you'll just need to install Argilla as pip install argilla --upgrade and then use the following code:
import argilla as rg
ds =… See the full description on the dataset page: https://huggingface.co/datasets/Aditya8595/my_setfit_dataset.setfit-absa-indo-restaurantmix2setfit-books-reviews-sentences-absastsb-setfit-copySetFit_mnli-copymulti_nli_setfit_formattedsetfit-absa-semeval-restaurants
Dataset Card for "tomaarsen/setfit-absa-semeval-restaurants"
Dataset Summary
This dataset contains the manually annotated restaurant reviews from SemEval-2014 Task 4, in the format as
understood by SetFit ABSA.
For more details, see https://aclanthology.org/S14-2004/
Data Instances
An example of "train" looks as follows.
{"text": "But the staff was so horrible to us.", "span": "staff", "label": "negative", "ordinal": 0}
{"text": "To be completely… See the full description on the dataset page: https://huggingface.co/datasets/pkli2026/setfit-absa-semeval-restaurants.setfit-absa-indo-restaurantmixsetfit-books-categories