datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Magpie-Phi3-Pro-1M-v0.1
Project Web: https://magpie-align.github.io/
Arxiv Technical Report: https://arxiv.org/abs/2406.08464
Codes: https://github.com/magpie-align/magpie
Abstract
Click Here
High-quality instruction data is critical for aligning large language models (LLMs). Although some models, such as Llama-3-Instruct, have open weights, their alignment data remain private, which hinders the democratization of AI. High human labor costs and a limited, predefined scope for prompting prevent… See the full description on the dataset page: https://huggingface.co/datasets/HayatoHongo/Magpie-Phi3-Pro-1M-v0.1.medical-logits-phi3.5-mini_medmcqa_pubmMagpie-Phi3-Pro-300K-Filtered
Project Web: https://magpie-align.github.io/
Arxiv Technical Report: https://arxiv.org/abs/2406.08464
Codes: https://github.com/magpie-align/magpie
Abstract
Click Here
High-quality instruction data is critical for aligning large language models (LLMs). Although some models, such as Llama-3-Instruct, have open weights, their alignment data remain private, which hinders the democratization of AI. High human labor costs and a limited, predefined scope for prompting prevent… See the full description on the dataset page: https://huggingface.co/datasets/Magpie-Align/Magpie-Phi3-Pro-300K-Filtered.Magpie-Phi3-Pro-1M-v0.1
Project Web: https://magpie-align.github.io/
Arxiv Technical Report: https://arxiv.org/abs/2406.08464
Codes: https://github.com/magpie-align/magpie
Abstract
Click Here
High-quality instruction data is critical for aligning large language models (LLMs). Although some models, such as Llama-3-Instruct, have open weights, their alignment data remain private, which hinders the democratization of AI. High human labor costs and a limited, predefined scope for prompting prevent… See the full description on the dataset page: https://huggingface.co/datasets/Magpie-Align/Magpie-Phi3-Pro-1M-v0.1.Magpie-Phi3-Pro-300K-Filtered-ko-e3economy_rule_phi3.5_unsupprimekg-phi3-distilled-sft-seed7management_rule_phi3.5_unsupc4-10k-tokenized-phi3primekg-phi3-distilled-sft-seed2024primekg-phi3-distilled-sft-seed999phi_30K_qwq_0K_eval_2e29
mlfoundations-dev/phi_30K_qwq_0K_eval_2e29
Precomputed model outputs for evaluation.
Evaluation Results
Summary
Metric
AIME24
AMC23
MATH500
MMLUPro
JEEBench
GPQADiamond
LiveCodeBench
CodeElo
CodeForces
AIME25
HLE
LiveCodeBenchv5
Accuracy
26.7
42.2
44.8
8.1
32.0
47.1
0.8
0.3
0.1
20.7
2.3
0.3
AIME24
Average Accuracy: 26.67% ± 1.63%
Number of Runs: 10
Run
Accuracy
Questions Solved
Total Questions
1
23.33%
7
30
2
26.67%… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/phi_30K_qwq_0K_eval_2e29.the_pile_Wikipedia_phi3_8kprimekg-phi3-distilled-sft-seed2024accounting_rule_phi3.5_unsupPhi3_intent_v53_2_w_unknownprimekg-phi3-distilled-sft-seed101primekg-phi3-distilled-sft-seed7phi-3-vision-custom-datasetPhi3_intent_v47_3_w_unknown_upper_lowerMagpie-Phi3-Pro-300K-Filtered-koTranslate Magpie-Align/Magpie-Phi3-Pro-300K-Filtered using nayohan/llama3-instrucTrans-enko-8b.
This is a raw translation dataset. It needs to be filtered for repetitions generated by the model.
@misc{xu2024magpie,
title={Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing},
author={Zhangchen Xu and Fengqing Jiang and Luyao Niu and Yuntian Deng and Radha Poovendran and Yejin Choi and Bill Yuchen Lin},
year={2024},
eprint={2406.08464}… See the full description on the dataset page: https://huggingface.co/datasets/nayohan/Magpie-Phi3-Pro-300K-Filtered-ko.ruslanmv_medicalChat_phi3.5_instruct
Use this dataset
from datasets import load_dataset
data = load_dataset("syubraj/ruslanmv_medicalChat_phi3.5_instruct")
Source : ruslanmv/ai-medical-chatbot
primekg-phi3-vanillakd-sft-seed2024FQA_phi3primekg-phi3-vanillakd-sft-seed7the_pile_Books3_phi3_8kScienticDatasetArxiv-phi3-Format
Scientific Dataset Repository
Este repositorio contiene un conjunto de datos de conversaciones estructuradas, diseñado para ser utilizado en modelos de deep learning. El conjunto de datos está organizado y preparado para su uso en la plataforma Huggingface.
Información del Conjunto de Datos
El conjunto de datos incluye las siguientes características:
conversations:
from: Tipo de dato: string. Indica el origen de la conversación.
value: Tipo de dato: string. Contenido de… See the full description on the dataset page: https://huggingface.co/datasets/ejbejaranos/ScienticDatasetArxiv-phi3-Format.convsersations_excitement_phi3.5-mini-instruct_largemagpie_phi3-mini_spanishbusiness_rule_phi3.5_unsup