datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
libretranslate-en-kab-suggestions
Kabyle Suggestions Dataset
This dataset contains English-to-Kabyle translation suggestions submmitted by users using LibreTranslate, designed to support the development and evaluation of machine translation tools for the Kabyle language.
interior-design-suggestionsend2end_textclassification_with_suggestions_and_responses
Dataset Card for end2end_textclassification_with_suggestions_and_responses
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… See the full description on the dataset page: https://huggingface.co/datasets/argilla/end2end_textclassification_with_suggestions_and_responses.libretranslate-suggestions
Kabyle Suggestions Dataset
This dataset contains English-to-Kabyle translation suggestions submmitted by Imsidag community using LibreTranslate, designed to support the development and evaluation of machine translation tools for the Kabyle language.
oasst_quality_with_suggestions
Dataset Card for oasst_quality_with_suggestions
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/oasst_quality_with_suggestions.command-line-suggestionssuggestions_small_pySplits: 80% train, 10% validation, 10% test.
📦 Method-Level Change / Code Review Suggestion Dataset
📝 Overview
This dataset is designed for training or fine-tuning large language models (LLMs) on the task of automated code suggestion generation at the method level.
Each entry in the dataset contains:
An original Python method extracted from a GitHub pull request
A revised version of the same method, incorporating code review suggestions
🎯 Purpose
To enable models to learn fine-grained… See the full description on the dataset page: https://huggingface.co/datasets/arefm/suggestions_small_py.loki-keyword-suggestionstest-export-with-suggestions
Dataset Card for test-export-with-suggestions
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/jfcalvo/test-export-with-suggestions.Suggestions
Train Dataset Topics
mixed output (480)
emergency call pain location (body) ∼ 20
emergency call callback number of reporter ∼ 20
emergency call personal information (age, name, sex, ...) ∼ 20
fire department call person trapped in car after accident ∼ 20
emergency call geographical location description (country, area, city, street, house number, etc...) ∼ 10
vacation geographical location description ∼ 10
business transport geographical location description ∼ 10… See the full description on the dataset page: https://huggingface.co/datasets/LiveReader/Suggestions.testing-export-with-suggestions-from-dev
Dataset Card for testing-export-with-suggestions-from-dev
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/jfcalvo/testing-export-with-suggestions-from-dev.ocp-docs-suggestions-1k-prcodebert_suggestionssuggestions-from-squark