datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
spacr_settingstest_import_dataset_from_hub_using_settings_with_recordsFalse
Dataset Card for test_import_dataset_from_hub_using_settings_with_recordsFalse
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… See the full description on the dataset page: https://huggingface.co/datasets/argilla-internal-testing/test_import_dataset_from_hub_using_settings_with_recordsFalse.camera_settingsThis is the dataset for Generative Photography: Scene-Consistent Camera Control for Realistic Text-to-Image Synthesis, a framework for achieving realistic scene-consistent text-to-image generation with camera awareness.
Code: https://github.com/pandayuanyu/generative-photography
For more details, please check:
Project page
test_import_dataset_from_hub_using_settings_with_recordsTrue
Dataset Card for test_import_dataset_from_hub_using_settings_with_recordsTrue
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… See the full description on the dataset page: https://huggingface.co/datasets/argilla-internal-testing/test_import_dataset_from_hub_using_settings_with_recordsTrue.latent-majesty-diffusion-settingsA collection of default settings for the text-to-image model Latent Majesty Diffusion. If you love your settings, please add yours by going to the Files and versions tab and hitting upload.
Also please add a description on what your settings excel (it's okay if they are general purpose too)
test_import_dataset_from_hub_using_wrong_settings_with_records_True
Dataset Card for test_import_dataset_from_hub_using_wrong_settings_with_records_True
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:… See the full description on the dataset page: https://huggingface.co/datasets/argilla-internal-testing/test_import_dataset_from_hub_using_wrong_settings_with_records_True.Updated_Settings
Recommended Settings
In particular temp 1 and topnsigma 1.25 seems to help a lot with improving quality but sometimes you need to reswipe.
Some models are more sensitive to Rep Pen settings, 1.12 is another, you may need to adjust higher for smaller models (like 1.4 if overcooked) or lower for smarter ones.
Not sure about adaptive_p that is a newer setting added to kobold
Ban em dashes and ellipses (or set to -50 logit bias) to reduce slop:
—||$||...||$||…
(bolded kobold… See the full description on the dataset page: https://huggingface.co/datasets/Naphula/Updated_Settings.africa-risk-factors-for-hospitalization-and-death-from-covid-19-in-humanitarian-settings
Risk Factors for Hospitalization and Death from COVID-19 in Humanitarian Settings | Africa (original)
Size category: n<1K - Formats: parquet - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-risk-factors-for-hospitalization-and-death-from-covid-19-in-humanitarian-settings.test_import_dataset_from_hub_using_wrong_settings_with_records_True
Dataset Card for test_import_dataset_from_hub_using_wrong_settings_with_records_True
This dataset has been created with Extralit. As shown in the sections below, this dataset can be loaded into your Extralit server as explained in Load with Extralit, or used directly with the datasets library in Load with datasets.
Using this dataset with Extralit
To load with Extralit, you'll just need to install Extralit as pip install extralit --upgrade and then use the… See the full description on the dataset page: https://huggingface.co/datasets/extralit-dev/test_import_dataset_from_hub_using_wrong_settings_with_records_True.AlphaPrompt-Settings
AlphaPrompt Settings 2025
⚙️ Configuration tests for optimizing AlphaPrompt with different AI systems.
🧪 Contents
Settings experiments with:
Valka (Gemini 2.5 via Vertex)
3 instances used for temp: 0
Temperature variations
top_p variations
AlphaPrompt length variations
5 AlphaPrompt templates tested (480 test results). See below
Used for settings tuning
📊 Test Results
Testing for:
Best vector synthesis performance
Optimal metaphysical reasoning… See the full description on the dataset page: https://huggingface.co/datasets/AIMindLink/AlphaPrompt-Settings.Sillitavern_L3_Settingstest_import_dataset_from_hub_using_settings_with_recordsTrue
Dataset Card for test_import_dataset_from_hub_using_settings_with_recordsTrue
This dataset has been created with Extralit. As shown in the sections below, this dataset can be loaded into your Extralit server as explained in Load with Extralit, or used directly with the datasets library in Load with datasets.
Using this dataset with Extralit
To load with Extralit, you'll just need to install Extralit as pip install extralit --upgrade and then use the following… See the full description on the dataset page: https://huggingface.co/datasets/extralit-dev/test_import_dataset_from_hub_using_settings_with_recordsTrue.test_import_dataset_from_hub_using_settings_with_recordsFalse
Dataset Card for test_import_dataset_from_hub_using_settings_with_recordsFalse
This dataset has been created with Extralit. As shown in the sections below, this dataset can be loaded into your Extralit server as explained in Load with Extralit, or used directly with the datasets library in Load with datasets.
Using this dataset with Extralit
To load with Extralit, you'll just need to install Extralit as pip install extralit --upgrade and then use the following… See the full description on the dataset page: https://huggingface.co/datasets/extralit-dev/test_import_dataset_from_hub_using_settings_with_recordsFalse.test_import_dataset_from_hub_with_automatic_settings_Truetest_import_dataset_from_hub_using_wrong_settings_with_records_False
Dataset Card for test_import_dataset_from_hub_using_wrong_settings_with_records_False
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:… See the full description on the dataset page: https://huggingface.co/datasets/argilla-internal-testing/test_import_dataset_from_hub_using_wrong_settings_with_records_False.test_import_dataset_from_hub_with_automatic_settings_Falsetest_import_dataset_from_hub_using_wrong_settings_with_records_False
Dataset Card for test_import_dataset_from_hub_using_wrong_settings_with_records_False
This dataset has been created with Extralit. As shown in the sections below, this dataset can be loaded into your Extralit server as explained in Load with Extralit, or used directly with the datasets library in Load with datasets.
Using this dataset with Extralit
To load with Extralit, you'll just need to install Extralit as pip install extralit --upgrade and then use the… See the full description on the dataset page: https://huggingface.co/datasets/extralit-dev/test_import_dataset_from_hub_using_wrong_settings_with_records_False.TheatreLM-v2.0-SettingsPlease use https://huggingface.co/datasets/G-reen/TheatreLM-v2.1-Characters instead.
SD-Web-Ui-SettingsWindows-Settings-Datasetv-majesty-diffusion-settingsA collection of default settings for the text-to-image model V-Majesty Diffusion. If you love your settings, please add yours by going to the Files and versions tab and hitting upload.
Also please add a description on what your settings excel (it's okay if they are general purpose too)
kaggle-settingscomfy_settingssettings-qa-uivioletganteng-basic-settings-datasetLoRa_16gb_Training_Settings