datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
lemmanaid-afp-reruns
Lemmanaid AFP-pool Reproducibility Reruns
Reproducibility study for claude-opus-4-5 on the yalhessi/lemexp-commerical-llm-experiment benchmark, using an AFP demo pool (honest eval — no train/test theory leakage).
Companion to ggranberry/lemmanaid-commercial-results, which holds the earlier shot-count + retrieval sweeps under test-LOO.
Configs
Two configs, one per benchmark domain:
Config
Source HF config
Test rows
octonions
template_octonions_2026… See the full description on the dataset page: https://huggingface.co/datasets/ggranberry/lemmanaid-afp-reruns.nepali-fruit-rerun
Nepali Source-Grounded Instruction Dataset
Synthetic Nepali instruction-tuning data generated with NVIDIA NeMo Data
Designer from authoritative Nepali documents (agriculture manuals, legal
texts). Answers are grounded strictly in the source; unanswerable questions
get an explicit refusal. Records use chat messages format plus metadata
and per-record quality_scores (grounding / correctness / naturalness, 1-5,
LLM-as-judge). One data/train-<shard>.jsonl per source document; shards… See the full description on the dataset page: https://huggingface.co/datasets/aarajbhattarai/nepali-fruit-rerun.rejected-nepali-fruit-rerun
Nepali Source-Grounded Instruction Dataset — REJECTED
Synthetic Nepali instruction-tuning data generated with NVIDIA NeMo Data
Designer from authoritative Nepali documents (agriculture manuals, legal
texts). Answers are grounded strictly in the source; unanswerable questions
get an explicit refusal. Records use chat messages format plus metadata
and per-record quality_scores (grounding / correctness / naturalness, 1-5,
LLM-as-judge). One data/train-<shard>.jsonl per source… See the full description on the dataset page: https://huggingface.co/datasets/aarajbhattarai/rejected-nepali-fruit-rerun.fixed-n-rb-cost-aware-marginrl-qwen3-1.7b-base-math12k-token-mean-rerun-rollouts
fixed_n_rb_cost_aware_marginrl_Qwen3-1.7B-Base_math12k_token_mean_rerun rollouts
This dataset contains one compressed JSONL shard for every completed training
step. The step and rollout_index columns uniquely locate a rollout within
this training run. Run metadata and per-step row counts are recorded in
rollout_manifest.json.
2.rerun_hintlevir-yolov8n-p2-gap-factorized-tal-rerun-seed42tinyperson-yolov9t-cp3-mosaic-no-oacp-rerungradmem-award-rerun-20260730Jimmy19991222__llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun-details
Dataset Card for Evaluation run of Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun
Dataset automatically created during the evaluation run of model Jimmy19991222/llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Jimmy19991222__llama-3-8b-instruct-gapo-v2-rouge2-beta10-1minus-gamma0.3-rerun-details.Jimmy19991222__llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun-details
Dataset Card for Evaluation run of Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun
Dataset automatically created during the evaluation run of model Jimmy19991222/llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Jimmy19991222__llama-3-8b-instruct-gapo-v2-bert-f1-beta10-gamma0.3-lr1.0e-6-1minus-rerun-details.reruniop10-overnight-16feb25-rerun2-step6-masterp10-overnight-16feb25-rerun2-step3-ttt-10p10-overnight-16feb25-rerun2-step4-ttt-3p10-overnight-16feb25-rerun2-step5-ttt-9p10-overnight-16feb25-rerun2-step5-ttt-3p10-overnight-16feb25-rerun2-step5-ttt-2p10-overnight-16feb25-rerun2-step1-ttt-9p10-overnight-16feb25-rerun2-step4-ttt-9p10-overnight-16feb25-rerun2-step7-ttt-4p10-overnight-16feb25-rerun2-step8-ttt-10p10-overnight-16feb25-rerun2-step8-masterp10-overnight-16feb25-rerun2-step9-ttt-4p10-overnight-16feb25-rerun2-step9-masterp10-overnight-16feb25-rerun2-step9-ttt-10p10-overnight-16feb25-rerun2-step10-ttt-2p10-overnight-16feb25-more-levels-rerun-step7-masterp10-overnight-16feb25-more-levels-rerun-step8-ttt-13p10-overnight-16feb25-rerun2-step1-ttt-2p10-overnight-16feb25-rerun2-step1-master