datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
train_positive_phi3_kblam_rwkuMagpie-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.Magpie-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.medical-logits-phi3.5-mini_medmcqa_pubmMagpie-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.medical_dirichlet_phi3This dataset was generated using: https://github.com/sarus-tech/dp-llm-ft .
Patients, diseases, symptoms lists, treatments are all generated using a local Phi 3.5 (microsoft/Phi-3.5-mini-instruct).
The diseases are sampled independently for each patient, using a discrete distribution of diseases sampled from a Dirichlet distribution.
phi3-300-eval-resultslatent-mas-safety-dataset-seq-phi3-miniEdge-Industrial-Anomaly-Phi3
Edge-Industrial-Anomaly-Phi3: A Curated Dataset for SLMs
This dataset is a curated collection of industrial sensor data formatted specifically for Small Language Models (SLMs) like Phi-3. It merges three high-value industrial domains into a unified "Natural Language Reasoning" format to move beyond simple binary classification.
🚀 Purpose
Standard anomaly detection uses CSVs and Scikit-Learn. This dataset enables Generative Anomaly Detection, where a model like Phi-3 can… See the full description on the dataset page: https://huggingface.co/datasets/ssam17/Edge-Industrial-Anomaly-Phi3.Magpie-Phi3-Pro-300K-Filtered-ko-e3primekg-phi3-distilled-sft-seed7economy_rule_phi3.5_unsuplatent-mas-safety-dataset-seq-phi3-miniprimekg-phi3-distilled-sft-seed101primekg-phi3-distilled-sft-seed42primekg-phi3-distilled-sft-seed2024phi3-arena-short-dpo
Dataset Summary
DPO (Direct Policy Optimization) dataset of normal and short answers generated from lmsys/chatbot_arena_conversations dataset using microsoft/Phi-3-mini-4k-instruct model.
Generated using ShortGPT project.
medical-logits-phi3.5-mini_all_med_primekg-phi3-distilled-sft-seed7primekg-phi3-distilled-sft-seed2024ruslanmv_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-seed2024economy_fineweb_phi3.5_unsupPhi3_intent_v47_3_w_unknown_upper_lowerprimekg-phi3-distilled-sft-seed999Phi3_intent_v53_2_w_unknownMaziyarPanahi__calme-2.2-phi3-4b-details
Dataset Card for Evaluation run of MaziyarPanahi/calme-2.2-phi3-4b
Dataset automatically created during the evaluation run of model MaziyarPanahi/calme-2.2-phi3-4b
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/MaziyarPanahi__calme-2.2-phi3-4b-details.MaziyarPanahi__calme-2.3-phi3-4b-details
Dataset Card for Evaluation run of MaziyarPanahi/calme-2.3-phi3-4b
Dataset automatically created during the evaluation run of model MaziyarPanahi/calme-2.3-phi3-4b
The dataset is composed of 43 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/MaziyarPanahi__calme-2.3-phi3-4b-details.management_rule_phi3.5_unsupprimekg-phi3-vanillakd-sft-seed999