30 shown

datasets

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

01mteb /llm-eval-massive_intenttext10K<n<100K0 likes159 downloads7mo agoHugging Face 02mteb /llm-eval-massive_scenariotext10K<n<100K0 likes140 downloads7mo agoHugging Face 03mteb /llm-eval-imdbtext10K<n<100K0 likes126 downloads7mo agoHugging Face 04mteb /llm-eval-mtop_domaintext10K<n<100K0 likes125 downloads7mo agoHugging Face 05k-mktr /llm_eval_promptstextquestion-answering1K<n<10K1 likes124 downloads2y agoHugging Face 06mteb /llm-eval-banking77text10K<n<100K0 likes123 downloads7mo agoHugging Face 07mteb /llm-eval-amazon_reviewstext1M<n<10M0 likes122 downloads7mo agoHugging Face 08mteb /llm-eval-amazon_counterfactualtext10K<n<100K0 likes114 downloads7mo agoHugging Face 09mteb /llm-eval-toxic_conversationstext10K<n<100K0 likes113 downloads7mo agoHugging Face 10mteb /llm-eval-tweet_sentimenttext10K<n<100K0 likes109 downloads7mo agoHugging Face 11llmeval-fdu /LLMEval-Fair LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models LLMEval-Fair is a 30-month longitudinal study on the robustness and fairness of LLM evaluation, built on a proprietary bank of 220,000+ graduate-level Chinese questions spanning 13 academic disciplines. This is the publicly released subset of that bank. Paper (arXiv): https://arxiv.org/abs/2508.05452 Venue: ACL 2026 Main Conference Project website: https://llmeval.com/ GitHub:… See the full description on the dataset page: https://huggingface.co/datasets/llmeval-fdu/LLMEval-Fair.textquestion-answering100K<n<1M0 likes99 downloads5mo agoHugging Face 12mteb /llm-eval-public-health-qatextn<1K0 likes83 downloads4mo agoHugging Face 13llmeval-fdu /LLMEval-2 LLMEval-2: Professional Domain Evaluation of Chinese LLMs (Phase II) LLMEval-2 is the Phase II evaluation dataset of the LLMEval project (Fudan NLP Lab), released alongside the AAAI 2024 paper "LLMEval: A Preliminary Study on How to Evaluate Large Language Models". While LLMEval-1 focuses on general capabilities, LLMEval-2 targets professional domain evaluation across 12 academic disciplines. Paper: https://arxiv.org/abs/2312.07398 Project website: https://llmeval.com/ GitHub:… See the full description on the dataset page: https://huggingface.co/datasets/llmeval-fdu/LLMEval-2.textquestion-answering1K<n<10K0 likes79 downloads5mo agoHugging Face 14llmeval-fdu /LLMEval-1 LLMEval-1: Large-Scale Chinese LLM Evaluation (Phase I) LLMEval-1 is the Phase I evaluation dataset of the LLMEval project (Fudan NLP Lab), released alongside the paper "LLMEval: A Preliminary Study on How to Evaluate Large Language Models" (AAAI 2024). It is a Chinese, generative-QA benchmark designed to study how large language models should be evaluated. Paper: https://arxiv.org/abs/2312.07398 Project website: https://llmeval.com/ GitHub: https://github.com/llmeval/LLMEval-1… See the full description on the dataset page: https://huggingface.co/datasets/llmeval-fdu/LLMEval-1.textquestion-answering1K<n<10K0 likes79 downloads5mo agoHugging Face 15mteb /llm-eval-aila-statutestextn<1K0 likes70 downloads6mo agoHugging Face 16mteb /llm-eval-hc3-financetextn<1K0 likes66 downloads4mo agoHugging Face 17llmeval-fdu /LLMEval-Logic LLMEval-Logic — Public 80% Release A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial Hardening. 📄 Paper (arXiv): https://arxiv.org/abs/2605.19597 🌐 Project: https://llmeval.com/ 🐙 Code & evaluation pipeline: https://github.com/llmeval/LLMEval-Logic 🤗 Dataset (this card): https://huggingface.co/datasets/llmeval-fdu/LLMEval-Logic ⚠️ This is the 80% public release LLMEval-Logic was built through a three-stage audit pipeline: (a)… See the full description on the dataset page: https://huggingface.co/datasets/llmeval-fdu/LLMEval-Logic.textquestion-answeringn<1K5 likes64 downloads4mo agoHugging Face 18sohaibdevv /llm-eval-benchmark LLM Evaluation Benchmark A 1,200-sample curated benchmark dataset for evaluating LLMs on factual accuracy and truthfulness. Sourced from MMLU and TruthfulQA, cleaned and formatted for the LLM Evaluation Framework. Dataset Summary Split Samples Use train 500 Fine-tuning reference / training baselines validation 200 Hyperparameter tuning test 500 Final benchmark — use this for fair comparisons Total 1,200 Quick… See the full description on the dataset page: https://huggingface.co/datasets/sohaibdevv/llm-eval-benchmark.textquestion-answering1K<n<10K0 likes60 downloads4mo agoHugging Face 19mteb /llm-eval-sts22_v2text1K<n<10K0 likes59 downloads6mo agoHugging Face 20mteb /llm-eval-fquadtextn<1K0 likes58 downloads4mo agoHugging Face 21mteb /llm-eval-biossestextn<1K0 likes57 downloads7mo agoHugging Face 22mteb /llm-eval-legalbench-consumer-contractstextn<1K0 likes55 downloads4mo agoHugging Face 23mteb /llm-eval-stsbenchmarktextn<1K0 likes54 downloads6mo agoHugging Face 24mteb /llm-eval-twitter-hjernetextn<1K0 likes54 downloads6mo agoHugging Face 25vector-institute /llm-eval-requeststabularn<1K0 likes53 downloads2y agoHugging Face 26vigneshwar234 /llm-eval-benchmark LLM Evaluation Benchmark A 1,200-sample curated benchmark dataset for evaluating LLMs on factual accuracy and truthfulness. Sourced from MMLU and TruthfulQA, cleaned and formatted for the LLM Evaluation Framework. Dataset Summary Split Samples Use train 500 Fine-tuning reference / training baselines validation 200 Hyperparameter tuning test 500 Final benchmark — use this for fair comparisons Total 1,200 Quick… See the full description on the dataset page: https://huggingface.co/datasets/vigneshwar234/llm-eval-benchmark.textquestion-answering1K<n<10K1 likes53 downloads4mo agoHugging Face 27mteb /llm-eval-sprint_duplicate_questionstextn<1K0 likes51 downloads7mo agoHugging Face 28mteb /llm-eval-sickrtextn<1K0 likes51 downloads6mo agoHugging Face 29mteb /llm-eval-sts17text1K<n<10K0 likes51 downloads6mo agoHugging Face 30mteb /llm-eval-medrxiv_clustering_p2p_v2textn<1K0 likes47 downloads6mo agoHugging Face

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