maple
Datasets
All datasets matching “maple”llmtcl
⚡ LitGPT
20+ high-performance LLMs with recipes to pretrain, finetune, and deploy at scale.
✅ From scratch implementations ✅ No abstractions ✅ Beginner friendly
✅ Flash attention ✅ FSDP ✅ LoRA, QLoRA, Adapter
✅ Reduce GPU memory (fp4/8/16/32) ✅ 1-1000+ GPUs/TPUs ✅ 20+ LLMs
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Tutorials… See the full description on the dataset page: https://huggingface.co/datasets/Maple222/llmtcl.Time-300B
Dataset Card for Time-300B
This repository contains the Time-300B dataset of the paper Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts.
For details on how to use this dataset, please visit our GitHub page.
OpenstoryPlusPlus
Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling
We introduce OpenStory++, a large-scale open-domain dataset contains focusing on enabling MLLMs to perform storytelling generation tasks.
related resorcce
paper: https://arxiv.org/abs/2408.03695
code: https://github.com/YeLuoSuiYou/openstorypp
News
2024/7/31 We have reorganized and distributed the high-quality subset and released most of the story data collected… See the full description on the dataset page: https://huggingface.co/datasets/MAPLE-WestLake-AIGC/OpenstoryPlusPlus.UniREditBench-ResultsUniREdit-Data-100KUniREditBench: A Unified Reasoning-based Image Editing Benchmark
MAPLE
MAPLE: Multi-Aspect Full-Paper Scientific Retrieval Benchmark
MAPLE is an expert-validated benchmark for multi-aspect full-paper retrieval. It contains 2,095 fine-grained queries derived from 210 recent machine learning papers, together with a retrieval corpus of 73,973 candidate papers. Each target paper is paired with multiple queries grounded in textual or multimodal evidence and covering different aspects of the paper, including motivation, method, and experimental findings.… See the full description on the dataset page: https://huggingface.co/datasets/kai-02/MAPLE.