datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
R1-Distill-NuminaMath-Curation
R1-Distill-NuminaMath-Curation Release
Associated blog post: to be added
Data Overview
This dataset consists of the NuminaMath samples from the ServiceNow-AI/R1-Distill-SFT dataset and has features problem, solution, source, R1-Distill-Qwen-32B, R1-Distill-Qwen-32B-messages, and correctness.
The problem, solution and source features are from the NuminaMath dataset and correspond to the problem statement, ground truth solution and problem source.
The R1-Distill-Qwen-32B… See the full description on the dataset page: https://huggingface.co/datasets/collinear-ai/R1-Distill-NuminaMath-Curation.oh-dcft-v1.3_no-curation_gpt-4o-mini_scale_4xcuration-corpus
curation-corpus
Source
Data from this official repo with downloaded news articles content.
Citation
@misc{curationcorpusbase:2020,
title={Curation Corpus Base},
author={Curation},
year={2020}
}
oh-dcft-v1.2_no-curation_no_airoboros_gpt-4o-minioh-dcft-v1.2_no-curation_gpt-4o-mini_wo_opengptoh-dcft-v1.2_no-curation_gpt-4o-mini_wo_camel_mathultrafeedback-binarized-curation
Ultrafeedback binarized dataset using the mean of preference ratings
Introduction
This dataset contains the result of curation work performed by Argilla (using Argilla 😃).
After visually browsing around 200 examples using the sort and filter feature of Argilla, we noticed a strong mismatch between the overall_score in the original UF dataset (and the Zephyr train_prefs dataset) and the quality of the chosen response.
By adding the critique rationale to our Argilla… See the full description on the dataset page: https://huggingface.co/datasets/argilla/ultrafeedback-binarized-curation.curation-ultrafeedback-scores-rawoh-dcft-v1.3_no-curation_gpt-4o-mini_scale_8xoh-dcft-v1.2_no-curation_gpt-4o-mini_wo_camel_chemistryoh_curation_study_airoborosoh-dcft-v1.3_no-curation_gpt-4o-mini_scale_2xoh-dcft-v1.2_no-curation_gpt-4o-minioh-dcft-v1.3_no-curation_gpt-4o-mini_scale_0.25xcuration-backup-review_common_voice25_dev
Dataset Card for curation-backup-review_common_voice25_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/Reza2kn/curation-backup-review_common_voice25_dev.curation-corpus-ru
curation-corpus-ru
Translated version of d0rj/curation-corpus into Russian.
oh-dcft-v1.2.1_no-curation_gpt-4o-mini_for_cachecuration-ultrafeedback-scoressharegpt-curation
Dataset Card for sharegpt-curation
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/dvilasuero/sharegpt-curation.oh-dcft-v1.2_no-curation_gpt-4o-mini_wo_camel_biologyoh-dcft-v1.2_no-curation_gpt-4o-mini_wo_metamathoh-dcft-v1.3_no-curation_gpt-4o-mini_scale_0.5xhuman_to_ai_github_curationoh-dcft-v1-no-curation-sharegpt-format-no-alpacapfm-transactions-curation-202602161758curation-ultrafeedback-bad-ratedoh-dcft-v1.3_no-curation_gpt-4o-mini_scale_0.125xoh-dcft-v1.1-no-curationoh-dcft-v1.2_no-curation_gpt-4o-mini_wo_evol_instructcuration_dataset