datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
lm-eval-results-chlee10-T3Q-Merge-Mistral7B-private
Dataset Card for Evaluation run of chlee10/T3Q-Merge-Mistral7B
Dataset automatically created during the evaluation run of model chlee10/T3Q-Merge-Mistral7B
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 always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/nyu-dice-lab/lm-eval-results-chlee10-T3Q-Merge-Mistral7B-private.openr1-mistral7b-fullmp_mistral7bv3_sft_dpo_beta5e-2_epoch1_160k_ratiompg27_mistral7bv3_sft_multisample_2.5kmp_mistral7bv3_sft_ogd_rms_epoch5_40k_multisample_n2mp_mistral7bv3_sft_dpo_beta5e-2_epoch1_multisample_2.5kmp_mistral7bv3_sft_dpo_beta1e-1_epoch1_40k_n16nomiracl_mistral7B_filter_langs
Dataset Card for "nomiracl_mistral7B_filter_langs"
More Information needed
mp_mistral7bv3_sft_dpo_beta2e-2_epoch1_20k_n8mpg27_mistral7bv3_sft_dpo_beta5e-2_epoch1_40k_multisample_ratiomp_mistral7bv3_sft_40k_multisample_n4Mistral-7b-0.3-Instruct-TriviaQA-HighlyKnownDataset for paper “How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?”
Based on TriviaQA dataset
(https://huggingface.co/papers/2502.14502)
mistral-7b-arxiv-paper-chunkedThis dataset contains chunked extracts from the Mistral 7B research paper.
mistral-7b-utf-self-judgemp_mistral7bv3_sft_dpo_beta5e-2_epoch1_40kMistral-7b-0.3-Instruct-DBpedia-HighlyKnownDataset for paper “How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?”
Based on DBpedia dataset
Paper, Code
UCLA-AGI__Mistral7B-PairRM-SPPOmp_mistral7bv3_sft_ogd_rms_epoch5_40kmpg27_mistral7bv3_sft_dpo_beta2e-1_epoch2_40kmp_mistral7bv3_sft_dpo_beta2e-2_epoch1_160k_ratioMistral-7B-Instruct-v0.1-owl-numbersMedical-QA-Mistral7B-Finetuningsold-dataset-for-mistral7b-iftmistral-7b-instruct-on-policy-swepo-ultrainteractmpg27_mistral7bv3_sft_dpo_beta1e-1_epoch2_40k_multisample_n2mp_mistral7bv3_sft_ogd_rms_ratio_sample_40k_250715mistral_7b_prompt_completion_dataset
TEST TEST
dataset_info:
features:
- name: prompt
dtype: string
- name: completion
dtype: string
splits:
- name: wildchat
num_bytes: 2689801
num_examples: 500
- name: or_bench
num_bytes: 673035
num_examples: 500
- name: mt_bench
num_bytes: 161868
num_examples: 80
- name: DirectRequest
num_bytes: 371709
num_examples: 139
- name: HumanJailbreaks
num_bytes: 771122
num_examples: 178
- name: TAP_T
num_bytes:… See the full description on the dataset page: https://huggingface.co/datasets/PhillipGuo/mistral_7b_prompt_completion_dataset.mp_mistral7bv3_sft_dpo_beta1e-1_epoch1_20k_n8mp_mistral7bv3_sft_dpo_beta2e-2_epoch1_40k_multisample_n2_mp_mistral7bv3_sftMistral-7B-Instruct-v0.2-20k-choice
