datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
long-context-qa-curated-20
Dataset Card / 数据集卡
Dataset Description / 数据集简介
This public release contains 20 curated samples selected from a 10,000-record long-context QA collection. It targets retrieval over long documents, cross-section evidence synthesis, numerical reasoning, timeline reconstruction, and structured answer evaluation. The public subset contains 15 short-answer questions and 5 multiple-choice questions, balanced across Chinese and English.
本公开版本从 10,000 条长上下文问答数据中精选 20… See the full description on the dataset page: https://huggingface.co/datasets/LianeMarilin/long-context-qa-curated-20.Multi-turn_Long-context_Benchmark_for_LLMs
LoopServe: An Adaptive Dual-phase LLM Inference Acceleration System for Multi-Turn Dialogues
Arxiv: https://www.arxiv.org/abs/2507.13681
Huggingface: https://huggingface.co/papers/2507.13681
Introduction
LoopServe Multi-Turn Dialogue Benchmark is a comprehensive evaluation dataset comprising multiple diverse datasets designed to assess large language model performance in realistic conversational scenarios.
Unlike traditional benchmarks that place queries only at the end… See the full description on the dataset page: https://huggingface.co/datasets/TreeAILab/Multi-turn_Long-context_Benchmark_for_LLMs.LongMagpie_singledoc_longcontext_dataset
LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions
This repository contains the code, models and datasets for our paper [LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions].
Quick Links
Overview
LongMagpie Models
LongMagpie Datasets
Datasets list
Train Llama-3-8B-LongMagpie-512K-Instruct
Requirements
Evaluation
Build your long-context instruction data
Bugs or Questions?
Overview… See the full description on the dataset page: https://huggingface.co/datasets/caskcsg/LongMagpie_singledoc_longcontext_dataset.nanocode-long-context-preferenceLongcontext-aozora-instruction長文用のinstructionデータセットです。
長文は以下の青空文庫データセットを利用しました。
globis-university/aozorabunko-clean
Limitation
このデータセットは、長文の質問応答スタイルを提示することを主な目的としています。質問応答の正誤についてのフィルタリングはあえて行っていません。
長文では一般に性能低下が認められるため困難なタスクとなります。フィルタリングすると困難なタスクのinstructionが消えてしまうためです。ファインチューニングで使用する場合は、チューニングする基盤モデルの性能によって、チューニング効果が大きく変わります。正答できるかどうかはモデルパラメータ、事前学習次第と考えられます。
License
CC BY 4.0
German-RAG-ORPO-Long-Context-ShareGPT-HESSIAN-AI
German-RAG-ORPO (Odds Ratio Preference Optimization) Long Context ShareGPT-Format
German-RAG - German Retrieval Augmented Generation
Dataset Summary
The ORPO Long Context Tasks Dataset represents a specialized collection for fine-tuning language models with a focus on RAG-specific capabilities.
The subsets are derived from Synthetic generation inspired by Tencent's (“Scaling Synthetic Data Creation with 1,000,000,000 Personas”).
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/avemio/German-RAG-ORPO-Long-Context-ShareGPT-HESSIAN-AI.long_context_eval_set
Longcontext-aozora-summary長文からの要約データセットです。
長文は以下の青空文庫データセットを利用しました。
globis-university/aozorabunko-clean
License
CC BY 4.0
long-context-llm-papers
Long-Context LLM Papers — FineSet
A research-paper dataset on Long-Context LLM Papers, assembled, deduplicated, and quality-scored by
FineSet from arXiv and Semantic Scholar.
📸 This is a dated snapshot — generated 2026-06-19.
It is not auto-updated. Research on Long-Context LLM Papers moves fast — new papers land on arXiv every
week. Want this same dataset refreshed daily, on a topic you choose? See the bottom. ↓
Why this dataset
Quality-scored: quality_score… See the full description on the dataset page: https://huggingface.co/datasets/fineset-io/long-context-llm-papers.German-RAG-ORPO-Long-Context-Alpaca-HESSIAN-AI
German-RAG-ORPO (Odds Ratio Preference Optimization) Long-Context Alpaca-Format
German-RAG - German Retrieval Augmented Generation
Dataset Summary
The ORPO Long Context Tasks Dataset represents a specialized collection for fine-tuning language models with a focus on RAG-specific capabilities.
The subsets are derived from Synthetic generation inspired by Tencent's (“Scaling Synthetic Data Creation with 1,000,000,000 Personas”).
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/avemio/German-RAG-ORPO-Long-Context-Alpaca-HESSIAN-AI.longcontext_hot_groundinglongcontext_cotlong_context_jailbreakingradon-test-long_context
radon-test-long_context
Description
Long context test dataset for RADON model evaluation with extended text samples
Usage
Load Dataset
from datasets import load_dataset
dataset = load_dataset("MagistrTheOne/radon-test-long_context")
print(dataset)
Use with RADON Model
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load RADON model
model = AutoModelForCausalLM.from_pretrained("MagistrTheOne/RadonSAI")
tokenizer =… See the full description on the dataset page: https://huggingface.co/datasets/MagistrTheOne/radon-test-long_context.princeton_LongContext_resultsThis is a dummy dataset.
lm-eval-results-longcontext-alternative-private
Dataset Card for Evaluation run of NeoZ123/LongReward-llama3.1-8b-SFT
Dataset automatically created during the evaluation run of model NeoZ123/LongReward-llama3.1-8b-SFT
The dataset is composed of 47 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 96 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… See the full description on the dataset page: https://huggingface.co/datasets/TheFinAI/lm-eval-results-longcontext-alternative-private.princeton_LongContext_requestslm-eval-results-longcontext-private
Dataset Card for Evaluation run of meta-llama/Llama-3.2-1B-Instruct
Dataset automatically created during the evaluation run of model meta-llama/Llama-3.2-1B-Instruct
The dataset is composed of 209 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1317 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… See the full description on the dataset page: https://huggingface.co/datasets/TheFinAI/lm-eval-results-longcontext-private.