pareto
MobileLLM-ParetoQ-1.5B-1.58-bitevomerge-pareto-ggufParetoTinyRNNTransformers485k_v4_ramp_TRM_d120_L3_H4_C4_500k_LegalW0p5_ckpt92000ParetoTinyRNNTransformers999k_v1_TRM_d175_L3_H5_C8ParetoTinyRNNTransformers700k_v1_TRM_d175_L2_H7_C2ParetoTinyRNNTransformers999k_v2_TRM_d175_L3_H5_C4ParetoTinyRNNTransformers16k_v4_cycles_TRM_d24_L1_H2_C2_10k_LegalW0p5_ckpt22000ParetoTinyRNNTransformers999k_v1_TRM_d175_L3_H7_C4
Datasets
All datasets matching “pareto”pareto-rail-rollouts
Pareto Rail benchmark rollouts
Full agent transcripts for every published run of the Pareto Rail level-generation benchmark: models one-shot a browser rail-shooter level from a written theme, and visitors rank the results blind on the public site. The benchmark's methodology, per-run provenance manifests (rendered prompt, sealed commits, gate results, measured cost), and the level source produced by each of these transcripts live in the main repository:… See the full description on the dataset page: https://huggingface.co/datasets/paulbatum/pareto-rail-rollouts.pareto-aligned-financial-llmtulu-3-stage-0-to-50pareto-actor
Dataset Information
# Nodes
# Edges
# Features
7,600
33,544
931
Usage
from huggingface_hub import hf_hub_download
hf_hub_download(repo_id="SauravMaheshkar/pareto-actor", filename="processed/actor.bin", local_dir="./data/", repo_type="dataset")
dataset, _ = dgl.load_graphs("./data/processed/actor.bin")
Thank you @severo for helping me figure out the usage.
Pre-processed as per the official codebase of https://arxiv.org/abs/2210.02016
Citations… See the full description on the dataset page: https://huggingface.co/datasets/SauravMaheshkar/pareto-actor.pareto-cora
Dataset Information
# Nodes
# Edges
# Features
19,793
126,842
8,710
Pre-processed as per the official codebase of https://arxiv.org/abs/2210.02016
Citations
@article{ju2023multi,
title={Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization},
author={Ju, Mingxuan and Zhao, Tong and Wen, Qianlong and Yu, Wenhao and Shah, Neil and Ye, Yanfang and Zhang, Chuxu},
booktitle={International Conference on Learning… See the full description on the dataset page: https://huggingface.co/datasets/SauravMaheshkar/pareto-cora.tulu-3-stage-50-to-75