datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nla-av-responses-llama-70b-layer53quantized-llama-3.1-leaderboard-v2-evals
Open LLM Leaderboard v2 Benchmark Results
This artifact contains all the data from evaluations of Neural Magic's quantized Llama-3.1 models.
These evaluations were produced with lm-evaluation-harness by running the following command:
lm_eval \
--model vllm \
--model_args pretrained="<model_path>",dtype=auto,add_bos_token=False,max_model_len=4096,tensor_parallel_size="<num_gpus>",gpu_memory_utilization=0.8,enable_chunked_prefill=True \
--apply_chat_template \… See the full description on the dataset page: https://huggingface.co/datasets/neuralmagic/quantized-llama-3.1-leaderboard-v2-evals.hpltv2-llama33-edu-annotation
HPLT version 2.0 educational annotations
This dataset contains annotations derived from HPLT v2 cleaned samples.
There are 500,000 annotations for each language if the source contains at least 500,000 samples.
We prompt Llama-3.3-70B-Instruct to score web pages based on their educational value following FineWeb-Edu classifier.
Note 1: The dataset contains the prompt (using the first 1500 characters of the text sample), the scores, and the full Llama 3 generation. The column "idx"… See the full description on the dataset page: https://huggingface.co/datasets/LumiOpen/hpltv2-llama33-edu-annotation.meta-llama-Llama-3.2-1B-toksuite-detokenizedTraining data of the model detokenized in the exact order seen by the model.
The training data is partitioned into 8 chunks (chunk-0 through chunk-7), based on the GPU rank that generated the data. Each chunk contains detokenized text files in JSON Lines format (.jsonl).
lm-eval-results-princeton-nlp-Llama-3-Base-8B-SFT-RDPO-private
Dataset Card for Evaluation run of princeton-nlp/Llama-3-Base-8B-SFT-RDPO
Dataset automatically created during the evaluation run of model princeton-nlp/Llama-3-Base-8B-SFT-RDPO
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 7 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/nyu-dice-lab/lm-eval-results-princeton-nlp-Llama-3-Base-8B-SFT-RDPO-private.lm-eval-results-hkust-nlp-dart-math-llama3-8b-prop2diff-private
Dataset Card for Evaluation run of hkust-nlp/dart-math-llama3-8b-prop2diff
Dataset automatically created during the evaluation run of model hkust-nlp/dart-math-llama3-8b-prop2diff
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 4 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/nyu-dice-lab/lm-eval-results-hkust-nlp-dart-math-llama3-8b-prop2diff-private.llama-9b-bulk-npznla-av-ar-attribution-llama-70b-layer53lm-eval-results-allenai-llama-3-tulu-2-dpo-8b-private
Dataset Card for Evaluation run of allenai/llama-3-tulu-2-dpo-8b
Dataset automatically created during the evaluation run of model allenai/llama-3-tulu-2-dpo-8b
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 7 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… See the full description on the dataset page: https://huggingface.co/datasets/nyu-dice-lab/lm-eval-results-allenai-llama-3-tulu-2-dpo-8b-private.lm-eval-results-penfever-Llama-3-8B-tulu-human-v2-private
Dataset Card for Evaluation run of penfever/Llama-3-8B-tulu-human-v2
Dataset automatically created during the evaluation run of model penfever/Llama-3-8B-tulu-human-v2
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 7 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… See the full description on the dataset page: https://huggingface.co/datasets/nyu-dice-lab/lm-eval-results-penfever-Llama-3-8B-tulu-human-v2-private.fineweb-edu-pretokenized-llama3-100b
FineWeb-Edu Pretokenized with Llama 3.1 (100B)
This repository contains the sample/100BT subset of FineWeb-Edu, pretokenized for Megatron-LM-style training with meta-llama/Meta-Llama-3.1-8B.
It is a derived, pretokenized version of the upstream data, not an official Hugging Face FineWeb release.
Dataset summary
140 indexed shards
97,270,686 non-empty documents
97,458,793,013 tokens
English web text from FineWeb-Edu sample/100BT
Source dataset revision:… See the full description on the dataset page: https://huggingface.co/datasets/ZhuofengLi/fineweb-edu-pretokenized-llama3-100b.lm-eval-results-swap-uniba-LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-private
Dataset Card for Evaluation run of swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
Dataset automatically created during the evaluation run of model swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
The dataset is composed of 62 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… See the full description on the dataset page: https://huggingface.co/datasets/nyu-dice-lab/lm-eval-results-swap-uniba-LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-private.Llama-Breeze2-8B-Instruct-eval-logs-and-scoresLLaMA-65Bllama-3.2-3B-f1-instruct-eval-logs-and-scoresLlama-3.1-8B-Instruct-eval-logs-and-scoresLlama-3.3-70B-Instruct-eval-logs-and-scoresLlama-3-Taiwan-70B-Instruct-eval-logs-and-scoresLlama-3.2-3B-Instruct-eval-logs-and-scoresLlama-3.1-Taiwan-8B-Instruct-eval-logs-and-scoreslm-eval-results-NousResearch-Hermes-2-Pro-Llama-3-8B-private
Dataset Card for Evaluation run of NousResearch/Hermes-2-Pro-Llama-3-8B
Dataset automatically created during the evaluation run of model NousResearch/Hermes-2-Pro-Llama-3-8B
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 4 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/nyu-dice-lab/lm-eval-results-NousResearch-Hermes-2-Pro-Llama-3-8B-private.multimodality-poc-llama31-ruler16k
Multimodality PoC corpus — Llama-3.1-8B-Instruct on RULER-16K
Raw pre-RoPE query and hidden-state tensors captured during prefill, used
to study whether the per-(layer, kv_head) query distribution is unimodal
Gaussian (the assumption underpinning Expected Attention's MGF closed-form
in kvpress).
What's in here
65 .npz files, one per (RULER task, prompt_index) pair (13 tasks × 5
prompts).
Each file (~414 MB) contains:
field
dtype
shape
meaning
hidden
float16… See the full description on the dataset page: https://huggingface.co/datasets/June30916/multimodality-poc-llama31-ruler16k.llama-3.1-medprm-reward-training-set
Med-PRM-Reward (Version 1.0)
🚀 Med-PRM-Reward is among the first Process Reward Models (PRMs) specifically designed for the medical domain. Unlike conventional PRMs, it enhances its verification capabilities by integrating clinical knowledge through retrieval-augmented generation (RAG). Med-PRM-Reward demonstrates exceptional performance in scaling-test-time computation, particularly outperforming majority‐voting ensembles on complex medical reasoning tasks. Moreover, its… See the full description on the dataset page: https://huggingface.co/datasets/dmis-lab/llama-3.1-medprm-reward-training-set.lm-eval-results-penfever-Llama-3-8B-NuminaCoT-private
Dataset Card for Evaluation run of penfever/Llama-3-8B-NuminaCoT
Dataset automatically created during the evaluation run of model penfever/Llama-3-8B-NuminaCoT
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 7 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… See the full description on the dataset page: https://huggingface.co/datasets/nyu-dice-lab/lm-eval-results-penfever-Llama-3-8B-NuminaCoT-private.MMLU-Pro_Llama-3.1-8B-Instruct_gORM_train
MMLU-Pro_Llama-3.1-8B-Instruct_gORM_train
lm-eval-results-Magpie-Align-Llama-3-8B-OpenHermes-243K-private
Dataset Card for Evaluation run of Magpie-Align/Llama-3-8B-OpenHermes-243K
Dataset automatically created during the evaluation run of model Magpie-Align/Llama-3-8B-OpenHermes-243K
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 4 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/nyu-dice-lab/lm-eval-results-Magpie-Align-Llama-3-8B-OpenHermes-243K-private.llamafirewall-alignmentcheck-evals
Dataset Card for LlamaFirewall AlignmentCheck Evals
Dataset Details
Dataset Description
This dataset provides a dataset for prompt injection in an agentic environment. It is part of LlamaFirewall, an open-source security focused guardrail framework designed to serve as a final layer of defense against security risks associated with AI Agents. Specifically, this dataset is designed to evaluate the susceptibility of language models, and detect any misalignment… See the full description on the dataset page: https://huggingface.co/datasets/facebook/llamafirewall-alignmentcheck-evals.meta-llama__Meta-Llama-3-70B-Instruct-details
Dataset Card for Evaluation run of meta-llama/Meta-Llama-3-70B-Instruct
Dataset automatically created during the evaluation run of model meta-llama/Meta-Llama-3-70B-Instruct
The dataset is composed of 44 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 3 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/meta-llama__Meta-Llama-3-70B-Instruct-details.llama-3.1-awesome-chatgpt-prompts
Dataset Card for Dataset Name
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/cfahlgren1/llama-3.1-awesome-chatgpt-prompts.lm-eval-results-princeton-nlp-Llama-3-Base-8B-SFT-KTO-private
Dataset Card for Evaluation run of princeton-nlp/Llama-3-Base-8B-SFT-KTO
Dataset automatically created during the evaluation run of model princeton-nlp/Llama-3-Base-8B-SFT-KTO
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 7 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/nyu-dice-lab/lm-eval-results-princeton-nlp-Llama-3-Base-8B-SFT-KTO-private.
