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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01mzio /cql_gen-browsecomp_plus_qa_gen-oai_gpt5_low-multihop_2-v3187tabular1K<n<10K0 likes93 downloads9mo agoHugging Face02rajat5039 /wiki-multihop-qa-500k wiki-multihop-qa-500k 500,000 synthetic multi-hop QA pairs generated from Wikipedia. Built for training the think-in-silence latent reasoning model — a model that reasons entirely in vector space without generating chain-of-thought tokens. Why This Dataset Exists Most publicly available QA datasets have two problems for reasoning research: Too small. HotpotQA has 113K samples. StrategyQA has 2.8K. Not enough diversity to train a generalizable reasoning module. Too many… See the full description on the dataset page: https://huggingface.co/datasets/rajat5039/wiki-multihop-qa-500k.tabularquestion-answering100K<n<1M5 likes75 downloads6mo agoHugging Face03norjordAI /nor_agriculture_multi_hop_questions_bench Nor Agriculture Multi Hop Questions Bench This work is related to the project in adapting LLM to answer questions about Norwegian Agriculture in Norwegian. The dataset was generated using YourBench (v0.9.0), an open-source framework for generating domain-specific benchmarks from document collections. It needs further cleaning, verification in regards to citations and validation for diversity and topics coverage. Also, it can play a role as a prove of concept for generating a… See the full description on the dataset page: https://huggingface.co/datasets/norjordAI/nor_agriculture_multi_hop_questions_bench.tabular1K<n<10K0 likes48 downloads8mo agoHugging Face04giulio98 /multihopRAG-1024tabular1K<n<10K0 likes27 downloads1y agoHugging Face05giulio98 /multihopRAG-256tabular1K<n<10K0 likes26 downloads1y agoHugging Face06chayma-rhaiem /Blind-Spots-of-Frontier-Models_Multihop-blindspots-qwen35 Qwen3.5-2B-Base — Multi-Hop Reasoning Blind Spots An evaluation dataset probing 18 Knowledge Graph-style reasoning tasks on Qwen/Qwen3.5-2B-Base, tested in its raw base (pre-training) form with no external graph attached. The dataset covers parametric memory (probes 1–10, no passage provided), standard grounded reasoning (probes 11–15, source passage included), and advanced grounded reasoning (probes 16–18, passage provided but requiring implicit inference or contradiction… See the full description on the dataset page: https://huggingface.co/datasets/chayma-rhaiem/Blind-Spots-of-Frontier-Models_Multihop-blindspots-qwen35.tabularquestion-answeringn<1K1 likes17 downloads7mo agoHugging Face07giulio98 /multihopRAG-2048tabular1K<n<10K0 likes15 downloads1y agoHugging Face08giulio98 /multihopRAGtabular1K<n<10K0 likes11 downloads1y agoHugging Face09giulio98 /multihopRAG-512tabular1K<n<10K0 likes10 downloads1y agoHugging Face10mzio /rb_last-cql-mc_oai_gpt5_med-ec_browsecomp_plus_search_gpt5_multihop-ds_train-spp4-gbs1-s0-r_1tabular10K<n<100K0 likes8 downloads9mo agoHugging Face11II-Vietnam /Agentic-Search-MultiHopgatedtabular100K<n<1M1 likes4 downloads11mo agoHugging Face12II-Vietnam /Agentic-Search-MultiHop-Easy-Setgatedtabular100K<n<1M0 likes2 downloads11mo agoHugging Face

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