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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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01open-llm-leaderboard /djuna__Q2.5-Veltha-14B-detailsgated Dataset Card for Evaluation run of djuna/Q2.5-Veltha-14B Dataset automatically created during the evaluation run of model djuna/Q2.5-Veltha-14B The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 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 latest results. An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/djuna__Q2.5-Veltha-14B-details.tabular10K<n<100K0 likes40 downloads2y agoHugging Face02open-llm-leaderboard /Triangle104__Q2.5-R1-7B-detailsgated Dataset Card for Evaluation run of Triangle104/Q2.5-R1-7B Dataset automatically created during the evaluation run of model Triangle104/Q2.5-R1-7B The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 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 latest results. An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Triangle104__Q2.5-R1-7B-details.tabular10K<n<100K0 likes29 downloads2y agoHugging Face03open-llm-leaderboard /Triangle104__Q2.5-R1-3B-detailsgated Dataset Card for Evaluation run of Triangle104/Q2.5-R1-3B Dataset automatically created during the evaluation run of model Triangle104/Q2.5-R1-3B The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 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 latest results. An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Triangle104__Q2.5-R1-3B-details.tabular10K<n<100K0 likes26 downloads2y agoHugging Face04Nathan-Maine /cmmc-training-data-2026-q2gated [!WARNING] EXPIRED VERSION. This release has been superseded by Nathan-Maine/cmmc-training-data-2026-08-31. Regulations change continuously — do not train compliance models on this version. It remains available for reproducibility and provenance only. CMMC Training Data — Q2 2026 A curated training corpus (train + validation splits) for fine-tuning small- and mid-size language models on CMMC 2.0, NIST SP 800-171/172, and related defense compliance frameworks. This is training… See the full description on the dataset page: https://huggingface.co/datasets/Nathan-Maine/cmmc-training-data-2026-q2.texttext-generation1K<n<10K0 likes22 downloads26d agoHugging Face05DavidBShan /asb-esc-q2b-1to2-n4tabularn<1K0 likes16 downloads3mo agoHugging Face06DavidBShan /asb-esc-q2b-2to2tabularn<1K0 likes15 downloads3mo agoHugging Face07samhitmantrala /q2textn<1K0 likes13 downloads2y agoHugging Face08open-llm-leaderboard /Triangle104__DS-R1-Distill-Q2.5-10B-Harmony-detailsgated Dataset Card for Evaluation run of Triangle104/DS-R1-Distill-Q2.5-10B-Harmony Dataset automatically created during the evaluation run of model Triangle104/DS-R1-Distill-Q2.5-10B-Harmony The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Triangle104__DS-R1-Distill-Q2.5-10B-Harmony-details.tabular10K<n<100K0 likes13 downloads2y agoHugging Face09DavidBShan /asb-esc-q2b-2to2-s4btabularn<1K0 likes13 downloads3mo agoHugging Face10open-llm-leaderboard /djuna__Q2.5-Partron-7B-detailsgated Dataset Card for Evaluation run of djuna/Q2.5-Partron-7B Dataset automatically created during the evaluation run of model djuna/Q2.5-Partron-7B The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 2 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 latest results. An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/djuna__Q2.5-Partron-7B-details.tabular10K<n<100K0 likes12 downloads2y agoHugging Face11open-llm-leaderboard /Triangle104__Q2.5-Humane-RP-detailsgated Dataset Card for Evaluation run of Triangle104/Q2.5-Humane-RP Dataset automatically created during the evaluation run of model Triangle104/Q2.5-Humane-RP The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 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 latest results. An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Triangle104__Q2.5-Humane-RP-details.tabular10K<n<100K0 likes12 downloads2y agoHugging Face12open-llm-leaderboard /Triangle104__DS-R1-Distill-Q2.5-7B-RP-detailsgated Dataset Card for Evaluation run of Triangle104/DS-R1-Distill-Q2.5-7B-RP Dataset automatically created during the evaluation run of model Triangle104/DS-R1-Distill-Q2.5-7B-RP The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 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/open-llm-leaderboard/Triangle104__DS-R1-Distill-Q2.5-7B-RP-details.tabular10K<n<100K0 likes11 downloads2y agoHugging Face13open-llm-leaderboard /Triangle104__DS-R1-Distill-Q2.5-14B-Harmony_V0.1-detailsgated Dataset Card for Evaluation run of Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1 Dataset automatically created during the evaluation run of model Triangle104/DS-R1-Distill-Q2.5-14B-Harmony_V0.1 The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Triangle104__DS-R1-Distill-Q2.5-14B-Harmony_V0.1-details.tabular10K<n<100K0 likes11 downloads2y agoHugging Face14open-llm-leaderboard /Triangle104__Q2.5-EVACOT-7b-detailsgated Dataset Card for Evaluation run of Triangle104/Q2.5-EVACOT-7b Dataset automatically created during the evaluation run of model Triangle104/Q2.5-EVACOT-7b The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 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 latest results. An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Triangle104__Q2.5-EVACOT-7b-details.tabular10K<n<100K0 likes10 downloads2y agoHugging Face15open-llm-leaderboard /Triangle104__Q2.5-Instruct-1M_Harmony-detailsgated Dataset Card for Evaluation run of Triangle104/Q2.5-Instruct-1M_Harmony Dataset automatically created during the evaluation run of model Triangle104/Q2.5-Instruct-1M_Harmony The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 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/open-llm-leaderboard/Triangle104__Q2.5-Instruct-1M_Harmony-details.tabular10K<n<100K0 likes10 downloads2y agoHugging Face16memoriant /cmmc-training-data-2026-q2gated CMMC Training Data — Q2 2026 Version: 2026-q2 Valid through: June 30, 2026 Next release: July 1, 2026 (Q3 2026) License: CC-BY-4.0 Publisher: Memoriant, Inc. What This Is A curated corpus of chat-formatted training examples covering CMMC 2.0, NIST SP 800-171, and related defense compliance frameworks. Examples are in OpenAI chat format (system/user/assistant) and are suitable for fine-tuning small- and mid-size language models for compliance Q&A, definitional lookup… See the full description on the dataset page: https://huggingface.co/datasets/memoriant/cmmc-training-data-2026-q2.texttext-generation1K<n<10K0 likes8 downloads6mo agoHugging Face17VarunGiridhar3 /rollout_stackcups_bcq_q2_r2tabularn<1K0 likes8 downloads2mo agoHugging Face18open-llm-leaderboard /djuna__Q2.5-Veltha-14B-0.5-detailsgated Dataset Card for Evaluation run of djuna/Q2.5-Veltha-14B-0.5 Dataset automatically created during the evaluation run of model djuna/Q2.5-Veltha-14B-0.5 The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 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 latest results. An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/djuna__Q2.5-Veltha-14B-0.5-details.tabular10K<n<100K0 likes7 downloads2y agoHugging Face19open-llm-leaderboard /Triangle104__Q2.5-AthensCOT-detailsgated Dataset Card for Evaluation run of Triangle104/Q2.5-AthensCOT Dataset automatically created during the evaluation run of model Triangle104/Q2.5-AthensCOT The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 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 latest results. An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Triangle104__Q2.5-AthensCOT-details.tabular10K<n<100K0 likes7 downloads2y agoHugging Face20Nathan-Maine /cmmc-benchmark-v1-preview-2026-q2gated CMMC Benchmark v1 Preview — Q2 2026 Version: 2026-q2 Tier: v1 Preview (46 questions) Purpose: Methodology sample — NOT a real evaluation Valid through: June 30, 2026 Next release: July 1, 2026 (Q3 2026) License: CC-BY-4.0 Author: Nathan Maine What This Is A 46-question preview of the CMMC compliance-AI benchmark methodology. This is NOT a full evaluation — it is a small sample intended to show how this benchmark structures compliance AI testing. v1 is the… See the full description on the dataset page: https://huggingface.co/datasets/Nathan-Maine/cmmc-benchmark-v1-preview-2026-q2.textquestion-answeringn<1K0 likes7 downloads4mo agoHugging Face21Nathan-Maine /cmmc-benchmark-v2-spotcheck-2026-q2gated CMMC Benchmark v2 Spot Check — Q2 2026 Version: 2026-q2 Tier: v2 Spot Check (454 questions) Purpose: Triage tool — catch obvious failures before committing to full evaluation Valid through: June 30, 2026 Next release: July 1, 2026 (Q3 2026) License: CC-BY-4.0 Author: Nathan Maine What This Is A 454-question spot check for evaluating compliance AI systems against CMMC 2.0, NIST SP 800-171/172, and DFARS knowledge. "Spot check" is deliberate terminology — v2 is… See the full description on the dataset page: https://huggingface.co/datasets/Nathan-Maine/cmmc-benchmark-v2-spotcheck-2026-q2.textquestion-answeringn<1K0 likes7 downloads4mo agoHugging Face22open-llm-leaderboard /Triangle104__Q2.5-EvaHumane-RP-detailsgated Dataset Card for Evaluation run of Triangle104/Q2.5-EvaHumane-RP Dataset automatically created during the evaluation run of model Triangle104/Q2.5-EvaHumane-RP The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 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 latest results. An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Triangle104__Q2.5-EvaHumane-RP-details.tabular10K<n<100K0 likes6 downloads2y agoHugging Face23Nathan-Maine /cmmc-benchmark-v3-comprehensive-2026-q2gated CMMC Benchmark v3 Comprehensive — Q2 2026 Version: 2026-q2 Tier: v3 Comprehensive (1,273 questions, 15 evaluation dimensions) Purpose: The full, authoritative evaluation for compliance AI Valid through: June 30, 2026 Next release: July 1, 2026 (Q3 2026) License: CC-BY-4.0 Author: Nathan Maine What This Is This is the comprehensive tier of the CMMC Compliance Benchmark suite: 1,273 questions across 15 evaluation dimensions, covering the full scope of CMMC 2.0 /… See the full description on the dataset page: https://huggingface.co/datasets/Nathan-Maine/cmmc-benchmark-v3-comprehensive-2026-q2.textquestion-answering1K<n<10K0 likes6 downloads4mo agoHugging Face24DavidBShan /asb-esc-q2b-12tabularn<1K0 likes6 downloads3mo agoHugging Face25open-llm-leaderboard /Triangle104__Q2.5-14B-Instruct-1M-Harmony-detailsgated Dataset Card for Evaluation run of Triangle104/Q2.5-14B-Instruct-1M-Harmony Dataset automatically created during the evaluation run of model Triangle104/Q2.5-14B-Instruct-1M-Harmony The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Triangle104__Q2.5-14B-Instruct-1M-Harmony-details.tabular10K<n<100K0 likes5 downloads2y agoHugging Face26q2oejN /math-18ktext10K<n<100K0 likes5 downloads1y agoHugging Face27memoriant /cmmc-benchmark-v1-preview-2026-q2gated CMMC Benchmark v1 Preview — Q2 2026 Version: 2026-q2 Tier: v1 Preview (46 questions) Purpose: Methodology sample — NOT a real evaluation Valid through: June 30, 2026 Next release: July 1, 2026 (Q3 2026) License: CC-BY-4.0 Publisher: Memoriant, Inc. What This Is A 46-question preview of the Memoriant Industrial Benchmark methodology. This is NOT a full evaluation — it's a small sample intended to show you how Memoriant structures compliance AI testing. v1 is the… See the full description on the dataset page: https://huggingface.co/datasets/memoriant/cmmc-benchmark-v1-preview-2026-q2.textquestion-answeringn<1K0 likes5 downloads6mo agoHugging Face28memoriant /cmmc-benchmark-v2-spotcheck-2026-q2gated CMMC Benchmark v2 Spot Check — Q2 2026 Version: 2026-q2 Tier: v2 Spot Check (454 questions) Purpose: Triage tool — catch obvious failures before committing to full evaluation Valid through: June 30, 2026 Next release: July 1, 2026 (Q3 2026) License: CC-BY-4.0 Publisher: Memoriant, Inc. What This Is A 454-question spot check of compliance AI systems. "Spot check" is deliberate terminology — v2 is targeted sampling, not comprehensive evaluation. v2 is a triage tool, not… See the full description on the dataset page: https://huggingface.co/datasets/memoriant/cmmc-benchmark-v2-spotcheck-2026-q2.textquestion-answeringn<1K0 likes5 downloads6mo agoHugging Face29DavidBShan /asb-esc-q2b-colotabularn<1K0 likes5 downloads3mo agoHugging Face30semran1 /test_wiki_rewire_q2tabular1K<n<10K0 likes4 downloads10mo agoHugging Face

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